Merge Latest

README.md

@@ -38,7 +38,7 @@ We also welcome contributions from the community. We have a list of bounties in
 
 ### Wide Model Support
 
-exo supports different models including LLaMA ([MLX](exo/inference/mlx/models/llama.py) and [tinygrad](exo/inference/tinygrad/models/llama.py)), Mistral, LlaVA, Qwen and Deepseek.
+exo supports different models including LLaMA ([MLX](exo/inference/mlx/models/llama.py) and [tinygrad](exo/inference/tinygrad/models/llama.py)), Mistral, LlaVA, Qwen, and Deepseek.
 
 ### Dynamic Model Partitioning
 
@@ -46,7 +46,7 @@ exo [optimally splits up models](exo/topology/ring_memory_weighted_partitioning_
 
 ### Automatic Device Discovery
 
-exo will [automatically discover](https://github.com/exo-explore/exo/blob/945f90f676182a751d2ad7bcf20987ab7fe0181e/exo/orchestration/standard_node.py#L154) other devices using the best method available. Zero manual configuration.
+exo will [automatically discover](https://github.com/exo-explore/exo/blob/945f90f676182a751d2ad7bcf20987ab7fe0181e/exo/orchestration/node.py#L154) other devices using the best method available. Zero manual configuration.
 
 ### ChatGPT-compatible API
 
@@ -54,7 +54,7 @@ exo provides a [ChatGPT-compatible API](exo/api/chatgpt_api.py) for running mode
 
 ### Device Equality
 
-Unlike other distributed inference frameworks, exo does not use a master-worker architecture. Instead, exo devices [connect p2p](https://github.com/exo-explore/exo/blob/945f90f676182a751d2ad7bcf20987ab7fe0181e/exo/orchestration/standard_node.py#L161). As long as a device is connected somewhere in the network, it can be used to run models.
+Unlike other distributed inference frameworks, exo does not use a master-worker architecture. Instead, exo devices [connect p2p](https://github.com/exo-explore/exo/blob/945f90f676182a751d2ad7bcf20987ab7fe0181e/exo/orchestration/node.py#L161). As long as a device is connected somewhere in the network, it can be used to run models.
 
 Exo supports different [partitioning strategies](exo/topology/partitioning_strategy.py) to split up a model across devices. The default partitioning strategy is [ring memory weighted partitioning](exo/topology/ring_memory_weighted_partitioning_strategy.py). This runs an inference in a ring where each device runs a number of model layers proportional to the memory of the device.
 
@@ -100,13 +100,13 @@ source install.sh
 
 - There are a number of things users have empirically found to improve performance on Apple Silicon Macs:
 
-1. Upgrade to the latest version of MacOS 15.
+1. Upgrade to the latest version of macOS Sequoia.
 2. Run `./configure_mlx.sh`. This runs commands to optimize GPU memory allocation on Apple Silicon Macs.
 
 
 ## Documentation
 
-### Example Usage on Multiple MacOS Devices
+### Example Usage on Multiple macOS Devices
 
 #### Device 1:
 
@@ -177,9 +177,9 @@ curl http://localhost:52415/v1/chat/completions \
    }'
 ```
 
-### Example Usage on Multiple Heterogenous Devices (MacOS + Linux)
+### Example Usage on Multiple Heterogenous Devices (macOS + Linux)
 
-#### Device 1 (MacOS):
+#### Device 1 (macOS):
 
 ```sh
 exo
@@ -244,7 +244,7 @@ python3 format.py ./exo
 
 ## Known Issues
 
-- On some versions of MacOS/Python, certificates are not installed properly which can lead to SSL errors (e.g. SSL error with huggingface.co). To fix this, run the Install Certificates command, usually:
+- On certain versions of Python on macOS, certificates may not installed correctly, potentially causing SSL errors (e.g., when accessing huggingface.co). To resolve this, run the `Install Certificates` command, typicall as follows:
 
 ```sh
 /Applications/Python 3.x/Install Certificates.command

configure_mlx.sh

@@ -1,4 +1,4 @@
-#!/bin/bash
+#!/usr/bin/env bash
 
 # Get the total memory in MB
 TOTAL_MEM_MB=$(($(sysctl -n hw.memsize) / 1024 / 1024))

examples/function_calling.py

@@ -0,0 +1,111 @@
+import json
+import re
+import requests
+
+def get_current_weather(location: str, unit: str = "celsius"):
+  """Mock weather data function"""
+  # Hardcoded response for demo purposes
+  return {
+    "location": location,
+    "temperature": 22 if unit == "celsius" else 72,
+    "unit": unit,
+    "forecast": "Sunny with light clouds"
+  }
+
+def try_parse_tool_calls(content: str):
+  """Try parse the tool calls."""
+  tool_calls = []
+  offset = 0
+  for i, m in enumerate(re.finditer(r"<tool_call>\n(.+)?\n</tool_call>", content)):
+    if i == 0:
+      offset = m.start()
+    try:
+      func = json.loads(m.group(1))
+      tool_calls.append({"type": "function", "function": func})
+      if isinstance(func["arguments"], str):
+        func["arguments"] = json.loads(func["arguments"])
+    except json.JSONDecodeError as e:
+      print(f"Failed to parse tool calls: the content is {m.group(1)} and {e}")
+      pass
+  if tool_calls:
+    if offset > 0 and content[:offset].strip():
+      c = content[:offset]
+    else:
+      c = ""
+    return {"role": "assistant", "content": c, "tool_calls": tool_calls}
+  return {"role": "assistant", "content": re.sub(r"<\|im_end\|>$", "", content)}
+
+def chat_completion(messages):
+  """Send chat completion request to local server"""
+  response = requests.post(
+    "http://localhost:52415/v1/chat/completions",
+    json={
+      "model": "qwen-2.5-1.5b",
+      "messages": messages,
+      "tools": [{
+        "type": "function",
+        "function": {
+          "name": "get_current_weather",
+          "description": "Get the current weather in a given location",
+          "parameters": {
+            "type": "object",
+            "properties": {
+              "location": {
+                "type": "string",
+                "description": "The city and state, e.g. San Francisco, CA"
+              },
+              "unit": {
+                "type": "string",
+                "enum": ["celsius", "fahrenheit"]
+              }
+            },
+            "required": ["location"]
+          }
+        }
+      }],
+      "tool_choice": "auto"
+    }
+  )
+  return response.json()
+
+def main():
+  # Initial conversation
+  messages = [{
+    "role": "user",
+    "content": "Hi there, what's the weather in Boston?"
+  }]
+  
+  # Get initial response
+  response = chat_completion(messages)
+  print(f"First response: {response}")
+  assistant_message = try_parse_tool_calls(response["choices"][0]["message"]["content"])
+  messages.append(assistant_message)
+  
+  # If there are tool calls, execute them and continue conversation
+  if "tool_calls" in assistant_message:
+    for tool_call in assistant_message["tool_calls"]:
+      if tool_call["function"]["name"] == "get_current_weather":
+        args = tool_call["function"]["arguments"]
+        weather_data = get_current_weather(**args)
+        
+        # Add tool response to messages
+        messages.append({
+          "role": "tool",
+          "content": json.dumps(weather_data),
+          "name": tool_call["function"]["name"]
+        })
+    
+    # Get final response with weather data
+    response = chat_completion(messages)
+    print(f"Final response: {response}")
+    messages.append({
+      "role": "assistant",
+      "content": response["choices"][0]["message"]["content"]
+    })
+  
+  # Print full conversation
+  for msg in messages:
+    print(f"\n{msg['role'].upper()}: {msg['content']}")
+
+if __name__ == "__main__":
+  main()

exo/api/chatgpt_api.py

@@ -2,9 +2,10 @@ import uuid
 import time
 import asyncio
 import json
+import os
 from pathlib import Path
 from transformers import AutoTokenizer
-from typing import List, Literal, Union, Dict
+from typing import List, Literal, Union, Dict, Optional
 from aiohttp import web
 import aiohttp_cors
 import traceback
@@ -14,8 +15,7 @@ from exo.download.download_progress import RepoProgressEvent
 from exo.helpers import PrefixDict, shutdown, get_exo_images_dir
 from exo.inference.tokenizers import resolve_tokenizer
 from exo.orchestration import Node
-from exo.models import build_base_shard, model_cards, get_repo, pretty_name, get_supported_models
-from exo.apputil import create_animation_mp4
+from exo.models import build_base_shard, model_cards, get_repo, pretty_name
 from typing import Callable, Optional
 from PIL import Image
 import numpy as np
@@ -23,25 +23,34 @@ import base64
 from io import BytesIO
 import mlx.core as mx
 import tempfile
+from exo.download.hf.hf_shard_download import HFShardDownloader
+import shutil
+from exo.download.hf.hf_helpers import get_hf_home, get_repo_root
+from exo.apputil import create_animation_mp4
 
 class Message:
-  def __init__(self, role: str, content: Union[str, List[Dict[str, Union[str, Dict[str, str]]]]]):
+  def __init__(self, role: str, content: Union[str, List[Dict[str, Union[str, Dict[str, str]]]]], tools: Optional[List[Dict]] = None):
     self.role = role
     self.content = content
+    self.tools = tools
 
   def to_dict(self):
-    return {"role": self.role, "content": self.content}
+    data = {"role": self.role, "content": self.content}
+    if self.tools:
+      data["tools"] = self.tools
+    return data
 
 
 
 class ChatCompletionRequest:
-  def __init__(self, model: str, messages: List[Message], temperature: float):
+  def __init__(self, model: str, messages: List[Message], temperature: float, tools: Optional[List[Dict]] = None):
     self.model = model
     self.messages = messages
     self.temperature = temperature
+    self.tools = tools
 
   def to_dict(self):
-    return {"model": self.model, "messages": [message.to_dict() for message in self.messages], "temperature": self.temperature}
+    return {"model": self.model, "messages": [message.to_dict() for message in self.messages], "temperature": self.temperature, "tools": self.tools}
 
 
 def generate_completion(
@@ -121,20 +130,24 @@ def remap_messages(messages: List[Message]) -> List[Message]:
   return remapped_messages
 
 
-def build_prompt(tokenizer, _messages: List[Message]):
+def build_prompt(tokenizer, _messages: List[Message], tools: Optional[List[Dict]] = None):
   messages = remap_messages(_messages)
-  prompt = tokenizer.apply_chat_template([m.to_dict() for m in messages], tokenize=False, add_generation_prompt=True)
-  for message in messages:
-    if not isinstance(message.content, list):
-      continue
+  chat_template_args = {
+    "conversation": [m.to_dict() for m in messages],
+    "tokenize": False,
+    "add_generation_prompt": True
+  }
+  if tools: chat_template_args["tools"] = tools
 
+  prompt = tokenizer.apply_chat_template(**chat_template_args)
+  print(f"!!! Prompt: {prompt}")
   return prompt
 
 
 def parse_message(data: dict):
   if "role" not in data or "content" not in data:
     raise ValueError(f"Invalid message: {data}. Must have 'role' and 'content'")
-  return Message(data["role"], data["content"])
+  return Message(data["role"], data["content"], data.get("tools"))
 
 
 def parse_chat_request(data: dict, default_model: str):
@@ -142,6 +155,7 @@ def parse_chat_request(data: dict, default_model: str):
     data.get("model", default_model),
     [parse_message(msg) for msg in data["messages"]],
     data.get("temperature", 0.0),
+    data.get("tools", None),
   )
 
 
@@ -181,8 +195,11 @@ class ChatGPTAPI:
     cors.add(self.app.router.add_get("/modelpool", self.handle_model_support), {"*": cors_options})
     cors.add(self.app.router.add_get("/healthcheck", self.handle_healthcheck), {"*": cors_options})
     cors.add(self.app.router.add_post("/quit", self.handle_quit), {"*": cors_options})
+    cors.add(self.app.router.add_delete("/models/{model_name}", self.handle_delete_model), {"*": cors_options})
+    cors.add(self.app.router.add_get("/initial_models", self.handle_get_initial_models), {"*": cors_options})
     cors.add(self.app.router.add_post("/create_animation", self.handle_create_animation), {"*": cors_options})
     cors.add(self.app.router.add_post("/download", self.handle_post_download), {"*": cors_options})
+    cors.add(self.app.router.add_get("/topology", self.handle_get_topology), {"*": cors_options})
 
       
     if "__compiled__" not in globals():
@@ -224,22 +241,79 @@ class ChatGPTAPI:
     return web.json_response({"status": "ok"})
 
   async def handle_model_support(self, request):
-    return web.json_response({
-      "model pool": {
-        model_name: pretty_name.get(model_name, model_name)
-        for model_name in get_supported_models(self.node.topology_inference_engines_pool)
-      }
-    })
+    try:
+        response = web.StreamResponse(
+            status=200,
+            reason='OK',
+            headers={
+                'Content-Type': 'text/event-stream',
+                'Cache-Control': 'no-cache',
+                'Connection': 'keep-alive',
+            }
+        )
+        await response.prepare(request)
+
+        for model_name, pretty in pretty_name.items():
+            if model_name in model_cards:
+                model_info = model_cards[model_name]
+
+                if self.inference_engine_classname in model_info.get("repo", {}):
+                    shard = build_base_shard(model_name, self.inference_engine_classname)
+                    if shard:
+                        downloader = HFShardDownloader(quick_check=True)
+                        downloader.current_shard = shard
+                        downloader.current_repo_id = get_repo(shard.model_id, self.inference_engine_classname)
+                        status = await downloader.get_shard_download_status()
+
+                        download_percentage = status.get("overall") if status else None
+                        total_size = status.get("total_size") if status else None
+                        total_downloaded = status.get("total_downloaded") if status else False
+
+                        model_data = {
+                            model_name: {
+                                "name": pretty,
+                                "downloaded": download_percentage == 100 if download_percentage is not None else False,
+                                "download_percentage": download_percentage,
+                                "total_size": total_size,
+                                "total_downloaded": total_downloaded
+                            }
+                        }
+
+                        await response.write(f"data: {json.dumps(model_data)}\n\n".encode())
+
+        await response.write(b"data: [DONE]\n\n")
+        return response
+
+    except Exception as e:
+        print(f"Error in handle_model_support: {str(e)}")
+        traceback.print_exc()
+        return web.json_response(
+            {"detail": f"Server error: {str(e)}"},
+            status=500
+        )
 
   async def handle_get_models(self, request):
     return web.json_response([{"id": model_name, "object": "model", "owned_by": "exo", "ready": True} for model_name, _ in model_cards.items()])
 
   async def handle_post_chat_token_encode(self, request):
     data = await request.json()
-    shard = build_base_shard(self.default_model, self.inference_engine_classname)
+    model = data.get("model", self.default_model)
+    if model and model.startswith("gpt-"):  # Handle gpt- model requests
+      model = self.default_model
+    if not model or model not in model_cards:
+      if DEBUG >= 1: print(f"Invalid model: {model}. Supported: {list(model_cards.keys())}. Defaulting to {self.default_model}")
+      model = self.default_model
+    shard = build_base_shard(model, self.inference_engine_classname)
     messages = [parse_message(msg) for msg in data.get("messages", [])]
     tokenizer = await resolve_tokenizer(get_repo(shard.model_id, self.inference_engine_classname))
-    return web.json_response({"length": len(build_prompt(tokenizer, messages)[0])})
+    prompt = build_prompt(tokenizer, messages, data.get("tools", None))
+    tokens = tokenizer.encode(prompt)
+    return web.json_response({
+      "length": len(prompt),
+      "num_tokens": len(tokens),
+      "encoded_tokens": tokens,
+      "encoded_prompt": prompt,
+    })
 
   async def handle_get_download_progress(self, request):
     progress_data = {}
@@ -271,7 +345,7 @@ class ChatGPTAPI:
     tokenizer = await resolve_tokenizer(get_repo(shard.model_id, self.inference_engine_classname))
     if DEBUG >= 4: print(f"Resolved tokenizer: {tokenizer}")
 
-    prompt = build_prompt(tokenizer, chat_request.messages)
+    prompt = build_prompt(tokenizer, chat_request.messages, chat_request.tools)
     request_id = str(uuid.uuid4())
     if self.on_chat_completion_request:
       try:
@@ -459,6 +533,71 @@ class ChatGPTAPI:
         if DEBUG >= 2: traceback.print_exc()
         return web.json_response({"detail": f"Error processing prompt (see logs with DEBUG>=2): {str(e)}"}, status=500)
   
+  async def handle_delete_model(self, request):
+    try:
+      model_name = request.match_info.get('model_name')
+      if DEBUG >= 2: print(f"Attempting to delete model: {model_name}")
+
+      if not model_name or model_name not in model_cards:
+        return web.json_response(
+          {"detail": f"Invalid model name: {model_name}"},
+          status=400
+          )
+
+      shard = build_base_shard(model_name, self.inference_engine_classname)
+      if not shard:
+        return web.json_response(
+          {"detail": "Could not build shard for model"},
+          status=400
+        )
+
+      repo_id = get_repo(shard.model_id, self.inference_engine_classname)
+      if DEBUG >= 2: print(f"Repo ID for model: {repo_id}")
+
+      # Get the HF cache directory using the helper function
+      hf_home = get_hf_home()
+      cache_dir = get_repo_root(repo_id)
+
+      if DEBUG >= 2: print(f"Looking for model files in: {cache_dir}")
+
+      if os.path.exists(cache_dir):
+        if DEBUG >= 2: print(f"Found model files at {cache_dir}, deleting...")
+        try:
+          shutil.rmtree(cache_dir)
+          return web.json_response({
+            "status": "success",
+            "message": f"Model {model_name} deleted successfully",
+            "path": str(cache_dir)
+          })
+        except Exception as e:
+          return web.json_response({
+            "detail": f"Failed to delete model files: {str(e)}"
+          }, status=500)
+      else:
+        return web.json_response({
+          "detail": f"Model files not found at {cache_dir}"
+        }, status=404)
+
+    except Exception as e:
+        print(f"Error in handle_delete_model: {str(e)}")
+        traceback.print_exc()
+        return web.json_response({
+            "detail": f"Server error: {str(e)}"
+        }, status=500)
+
+  async def handle_get_initial_models(self, request):
+    model_data = {}
+    for model_name, pretty in pretty_name.items():
+        model_data[model_name] = {
+            "name": pretty,
+            "downloaded": None,  # Initially unknown
+            "download_percentage": None,  # Change from 0 to null
+            "total_size": None,
+            "total_downloaded": None,
+            "loading": True  # Add loading state
+        }
+    return web.json_response(model_data)
+
   async def handle_create_animation(self, request):
     try:
       data = await request.json()
@@ -516,6 +655,20 @@ class ChatGPTAPI:
       if DEBUG >= 2: traceback.print_exc()
       return web.json_response({"error": str(e)}, status=500)
 
+  async def handle_get_topology(self, request):
+    try:
+      topology = self.node.current_topology
+      if topology:
+        return web.json_response(topology.to_json())
+      else:
+        return web.json_response({})
+    except Exception as e:
+      if DEBUG >= 2: traceback.print_exc()
+      return web.json_response(
+        {"detail": f"Error getting topology: {str(e)}"},
+        status=500
+      )
+
   async def run(self, host: str = "0.0.0.0", port: int = 52415):
     runner = web.AppRunner(self.app)
     await runner.setup()

exo/download/hf/hf_helpers.py

@@ -166,10 +166,18 @@ async def download_file(
     downloaded_size = local_file_size
     downloaded_this_session = 0
     mode = 'ab' if use_range_request else 'wb'
-    if downloaded_size == total_size:
+    percentage = await get_file_download_percentage(
+      session,
+      repo_id,
+      revision,
+      file_path,
+      Path(save_directory)
+    )
+    
+    if percentage == 100:
       if DEBUG >= 2: print(f"File already downloaded: {file_path}")
       if progress_callback:
-        await progress_callback(RepoFileProgressEvent(repo_id, revision, file_path, downloaded_size, downloaded_this_session, total_size, 0, timedelta(0), "complete"))
+        await progress_callback(RepoFileProgressEvent(repo_id, revision, file_path, total_size, 0, total_size, 0, timedelta(0), "complete"))
       return
 
     if response.status == 200:
@@ -436,6 +444,57 @@ def get_allow_patterns(weight_map: Dict[str, str], shard: Shard) -> List[str]:
   if DEBUG >= 2: print(f"get_allow_patterns {weight_map=} {shard=} {shard_specific_patterns=}")
   return list(default_patterns | shard_specific_patterns)
 
+async def get_file_download_percentage(
+    session: aiohttp.ClientSession,
+    repo_id: str,
+    revision: str,
+    file_path: str,
+    snapshot_dir: Path,
+) -> float:
+  """
+    Calculate the download percentage for a file by comparing local and remote sizes.
+    """
+  try:
+    local_path = snapshot_dir / file_path
+    if not await aios.path.exists(local_path):
+      return 0
+
+    # Get local file size first
+    local_size = await aios.path.getsize(local_path)
+    if local_size == 0:
+      return 0
+
+    # Check remote size
+    base_url = f"{get_hf_endpoint()}/{repo_id}/resolve/{revision}/"
+    url = urljoin(base_url, file_path)
+    headers = await get_auth_headers()
+
+    # Use HEAD request with redirect following for all files
+    async with session.head(url, headers=headers, allow_redirects=True) as response:
+      if response.status != 200:
+        if DEBUG >= 2:
+          print(f"Failed to get remote file info for {file_path}: {response.status}")
+        return 0
+
+      remote_size = int(response.headers.get('Content-Length', 0))
+
+      if remote_size == 0:
+        if DEBUG >= 2:
+          print(f"Remote size is 0 for {file_path}")
+        return 0
+
+      # Only return 100% if sizes match exactly
+      if local_size == remote_size:
+        return 100.0
+
+      # Calculate percentage based on sizes
+      return (local_size / remote_size) * 100 if remote_size > 0 else 0
+
+  except Exception as e:
+    if DEBUG >= 2:
+      print(f"Error checking file download status for {file_path}: {e}")
+    return 0
+
 async def has_hf_home_read_access() -> bool:
   hf_home = get_hf_home()
   try: return await aios.access(hf_home, os.R_OK)
@@ -445,3 +504,4 @@ async def has_hf_home_write_access() -> bool:
   hf_home = get_hf_home()
   try: return await aios.access(hf_home, os.W_OK)
   except OSError: return False
+

exo/download/hf/hf_shard_download.py

@@ -1,13 +1,20 @@
 import asyncio
 import traceback
 from pathlib import Path
-from typing import Dict, List, Tuple
+from typing import Dict, List, Tuple, Optional, Union
 from exo.inference.shard import Shard
 from exo.download.shard_download import ShardDownloader
 from exo.download.download_progress import RepoProgressEvent
-from exo.download.hf.hf_helpers import download_repo_files, RepoProgressEvent, get_weight_map, get_allow_patterns, get_repo_root
+from exo.download.hf.hf_helpers import (
+    download_repo_files, RepoProgressEvent, get_weight_map, 
+    get_allow_patterns, get_repo_root, fetch_file_list, 
+    get_local_snapshot_dir, get_file_download_percentage,
+    filter_repo_objects
+)
 from exo.helpers import AsyncCallbackSystem, DEBUG
 from exo.models import model_cards, get_repo
+import aiohttp
+from aiofiles import os as aios
 
 
 class HFShardDownloader(ShardDownloader):
@@ -17,8 +24,13 @@ class HFShardDownloader(ShardDownloader):
     self.active_downloads: Dict[Shard, asyncio.Task] = {}
     self.completed_downloads: Dict[Shard, Path] = {}
     self._on_progress = AsyncCallbackSystem[str, Tuple[Shard, RepoProgressEvent]]()
+    self.current_shard: Optional[Shard] = None
+    self.current_repo_id: Optional[str] = None
+    self.revision: str = "main"
 
   async def ensure_shard(self, shard: Shard, inference_engine_name: str) -> Path:
+    self.current_shard = shard
+    self.current_repo_id = get_repo(shard.model_id, inference_engine_name)
     repo_name = get_repo(shard.model_id, inference_engine_name)
     if shard in self.completed_downloads:
       return self.completed_downloads[shard]
@@ -77,3 +89,79 @@ class HFShardDownloader(ShardDownloader):
   @property
   def on_progress(self) -> AsyncCallbackSystem[str, Tuple[Shard, RepoProgressEvent]]:
     return self._on_progress
+
+  async def get_shard_download_status(self) -> Optional[Dict[str, Union[float, int]]]:
+    if not self.current_shard or not self.current_repo_id:
+      if DEBUG >= 2:
+        print(f"No current shard or repo_id set: {self.current_shard=} {self.current_repo_id=}")
+      return None
+
+    try:
+      # If no snapshot directory exists, return None - no need to check remote files
+      snapshot_dir = await get_local_snapshot_dir(self.current_repo_id, self.revision)
+      if not snapshot_dir:
+        if DEBUG >= 2:
+          print(f"No snapshot directory found for {self.current_repo_id}")
+        return None
+
+      # Get the weight map to know what files we need
+      weight_map = await get_weight_map(self.current_repo_id, self.revision)
+      if not weight_map:
+        if DEBUG >= 2:
+          print(f"No weight map found for {self.current_repo_id}")
+        return None
+
+      # Get all files needed for this shard
+      patterns = get_allow_patterns(weight_map, self.current_shard)
+
+      # Check download status for all relevant files
+      status = {}
+      total_bytes = 0
+      downloaded_bytes = 0
+
+      async with aiohttp.ClientSession() as session:
+        file_list = await fetch_file_list(session, self.current_repo_id, self.revision)
+        relevant_files = list(
+            filter_repo_objects(
+                file_list, allow_patterns=patterns, key=lambda x: x["path"]))
+
+        for file in relevant_files:
+          file_size = file["size"]
+          total_bytes += file_size
+
+          percentage = await get_file_download_percentage(
+              session,
+              self.current_repo_id,
+              self.revision,
+              file["path"],
+              snapshot_dir,
+          )
+          status[file["path"]] = percentage
+          downloaded_bytes += (file_size * (percentage / 100))
+
+        # Add overall progress weighted by file size
+        if total_bytes > 0:
+          status["overall"] = (downloaded_bytes / total_bytes) * 100
+        else:
+          status["overall"] = 0
+          
+        # Add total size in bytes
+        status["total_size"] = total_bytes
+        if status["overall"] != 100:
+          status["total_downloaded"] = downloaded_bytes
+        
+
+        if DEBUG >= 2:
+          print(f"Download calculation for {self.current_repo_id}:")
+          print(f"Total bytes: {total_bytes}")
+          print(f"Downloaded bytes: {downloaded_bytes}")
+          for file in relevant_files:
+            print(f"File {file['path']}: size={file['size']}, percentage={status[file['path']]}")
+
+      return status
+
+    except Exception as e:
+      if DEBUG >= 2:
+        print(f"Error getting shard download status: {e}")
+        traceback.print_exc()
+      return None

exo/download/shard_download.py

@@ -1,5 +1,5 @@
 from abc import ABC, abstractmethod
-from typing import Optional, Tuple
+from typing import Optional, Tuple, Dict
 from pathlib import Path
 from exo.inference.shard import Shard
 from exo.download.download_progress import RepoProgressEvent
@@ -26,6 +26,16 @@ class ShardDownloader(ABC):
   def on_progress(self) -> AsyncCallbackSystem[str, Tuple[Shard, RepoProgressEvent]]:
     pass
 
+  @abstractmethod
+  async def get_shard_download_status(self) -> Optional[Dict[str, float]]:
+    """Get the download status of shards.
+    
+    Returns:
+        Optional[Dict[str, float]]: A dictionary mapping shard IDs to their download percentage (0-100),
+        or None if status cannot be determined
+    """
+    pass
+
 
 class NoopShardDownloader(ShardDownloader):
   async def ensure_shard(self, shard: Shard, inference_engine_name: str) -> Path:
@@ -34,3 +44,6 @@ class NoopShardDownloader(ShardDownloader):
   @property
   def on_progress(self) -> AsyncCallbackSystem[str, Tuple[Shard, RepoProgressEvent]]:
     return AsyncCallbackSystem()
+
+  async def get_shard_download_status(self) -> Optional[Dict[str, float]]:
+    return None

exo/helpers.py

@@ -8,8 +8,11 @@ import platform
 import psutil
 import uuid
 import netifaces
+import subprocess
 from pathlib import Path
 import tempfile
+import json
+from concurrent.futures import ThreadPoolExecutor
 
 DEBUG = int(os.getenv("DEBUG", default="0"))
 DEBUG_DISCOVERY = int(os.getenv("DEBUG_DISCOVERY", default="0"))
@@ -22,6 +25,9 @@ exo_text = r"""
  \___/_/\_\___/ 
     """
 
+# Single shared thread pool for subprocess operations
+subprocess_pool = ThreadPoolExecutor(max_workers=4, thread_name_prefix="subprocess_worker")
+
 
 def get_system_info():
   if psutil.MACOS:
@@ -222,7 +228,7 @@ def pretty_print_bytes_per_second(bytes_per_second: int) -> str:
     return f"{bytes_per_second / (1024 ** 4):.2f} TB/s"
 
 
-def get_all_ip_addresses():
+def get_all_ip_addresses_and_interfaces():
   try:
     ip_addresses = []
     for interface in netifaces.interfaces():
@@ -230,12 +236,79 @@ def get_all_ip_addresses():
       if netifaces.AF_INET in ifaddresses:
         for link in ifaddresses[netifaces.AF_INET]:
           ip = link['addr']
-          ip_addresses.append(ip)
+          ip_addresses.append((ip, interface))
     return list(set(ip_addresses))
   except:
     if DEBUG >= 1: print("Failed to get all IP addresses. Defaulting to localhost.")
-    return ["localhost"]
+    return [("localhost", "lo")]
+
+async def get_macos_interface_type(ifname: str) -> Optional[Tuple[int, str]]:
+  try:
+    # Use the shared subprocess_pool
+    output = await asyncio.get_running_loop().run_in_executor(subprocess_pool, lambda: subprocess.run(
+      ['system_profiler', 'SPNetworkDataType', '-json'],
+      capture_output=True,
+      text=True,
+      close_fds=True
+    ).stdout)
+
+    data = json.loads(output)
+
+    for interface in data.get('SPNetworkDataType', []):
+      if interface.get('interface') == ifname:
+        hardware = interface.get('hardware', '').lower()
+        type_name = interface.get('type', '').lower()
+        name = interface.get('_name', '').lower()
+
+        if 'thunderbolt' in name:
+          return (5, "Thunderbolt")
+        if hardware == 'ethernet' or type_name == 'ethernet':
+          if 'usb' in name:
+            return (4, "Ethernet [USB]")
+          return (4, "Ethernet")
+        if hardware == 'airport' or type_name == 'airport' or 'wi-fi' in name:
+          return (3, "WiFi")
+        if type_name == 'vpn':
+          return (1, "External Virtual")
+
+  except Exception as e:
+    if DEBUG >= 2: print(f"Error detecting macOS interface type: {e}")
+
+  return None
+
+async def get_interface_priority_and_type(ifname: str) -> Tuple[int, str]:
+  # On macOS, try to get interface type using networksetup
+  if psutil.MACOS:
+    macos_type = await get_macos_interface_type(ifname)
+    if macos_type is not None: return macos_type
+
+  # Local container/virtual interfaces
+  if (ifname.startswith(('docker', 'br-', 'veth', 'cni', 'flannel', 'calico', 'weave')) or
+    'bridge' in ifname):
+    return (7, "Container Virtual")
+
+  # Loopback interface
+  if ifname.startswith('lo'):
+    return (6, "Loopback")
+
+  # Traditional detection for non-macOS systems or fallback
+  if ifname.startswith(('tb', 'nx', 'ten')):
+    return (5, "Thunderbolt")
+
+  # Regular ethernet detection
+  if ifname.startswith(('eth', 'en')) and not ifname.startswith(('en1', 'en0')):
+    return (4, "Ethernet")
+
+  # WiFi detection
+  if ifname.startswith(('wlan', 'wifi', 'wl')) or ifname in ['en0', 'en1']:
+    return (3, "WiFi")
+
+  # Non-local virtual interfaces (VPNs, tunnels)
+  if ifname.startswith(('tun', 'tap', 'vtun', 'utun', 'gif', 'stf', 'awdl', 'llw')):
+    return (1, "External Virtual")
 
+  # Other physical interfaces
+  return (2, "Other")
 
 async def shutdown(signal, loop, server):
   """Gracefully shutdown the server and close the asyncio loop."""

exo/inference/dummy_inference_engine.py

@@ -32,3 +32,6 @@ class DummyInferenceEngine(InferenceEngine):
   async def ensure_shard(self, shard: Shard):
     if self.shard == shard: return
     self.shard = shard
+  
+  async def load_checkpoint(self, shard: Shard, path: str):
+    await self.ensure_shard(shard)

exo/inference/inference_engine.py

@@ -8,6 +8,8 @@ from .shard import Shard
 
 
 class InferenceEngine(ABC):
+  session = {}
+
   @abstractmethod
   async def encode(self, shard: Shard, prompt: str) -> np.ndarray:
     pass
@@ -23,6 +25,19 @@ class InferenceEngine(ABC):
   @abstractmethod
   async def infer_tensor(self, request_id: str, shard: Shard, input_data: np.ndarray) -> np.ndarray:
     pass
+
+  @abstractmethod
+  async def load_checkpoint(self, shard: Shard, path: str):
+    pass
+
+  async def save_checkpoint(self, shard: Shard, path: str):
+    pass
+  
+  async def save_session(self, key, value):
+    self.session[key] = value
+  
+  async def clear_session(self):
+    self.session.empty()
   
   async def infer_prompt(self, request_id: str, shard: Shard, prompt: str, inference_state: Optional[dict] = None) -> np.ndarray:
     tokens = await self.encode(shard, prompt)

exo/inference/mlx/losses.py

@@ -0,0 +1,37 @@
+import mlx.core as mx
+import mlx.nn as nn
+def length_masked_ce_loss(model, inputs, targets, lengths):
+  # Run model on inputs
+  logits = model(inputs).astype(mx.float32)
+  
+  # Mask padding tokens
+  length_mask = mx.arange(inputs.shape[1])[None, :] < lengths[:, None]
+
+  # Calculate the loss
+  ce = nn.losses.cross_entropy(logits, targets) * length_mask
+  loss = ce.sum() / length_mask.sum()
+#  print(f"|    {inputs=}\n| ==>{logits=}\n| ~^~{ce=}\n| == {loss=}")
+  return loss
+
+#Naive intermediate layer loss, where we replace the targets with gradients and just multiply the output by the gradients to derive the loss. This is naive and may warrant some further iteration, but will do the job for now
+def back_gradient_loss(model, inputs, gradients, lengths):
+  out = model(inputs).astype(mx.float32)
+  grad = gradients.astype(mx.float32)
+
+  # Mask padding tokens
+  length_mask = mx.repeat(mx.arange(inputs.shape[1])[None, :] < lengths[:, None], out.shape[-1]).reshape(out.shape)
+
+  masked_sum = (out * length_mask).sum(axis=1)
+  gradient_lens = mx.abs(grad * masked_sum)
+  loss = gradient_lens.sum() / length_mask.sum()
+#  print(f"|    {inputs=}\n"
+#      + f"| ==>{out=}\n"
+#      + f"| ~^~{masked_sum=}\n"
+#      + f"| <~>{gradient_lens=}\n"
+#      + f"| == {loss=}")
+  return loss
+
+loss_fns = {
+  "back_gradient": back_gradient_loss,
+  "length_masked_ce": length_masked_ce_loss,
+}

exo/inference/mlx/sharded_inference_engine.py

@@ -2,14 +2,18 @@ import numpy as np
 import mlx.core as mx
 import mlx.nn as nn
 from mlx_lm.sample_utils import top_p_sampling
+import mlx.optimizers as optim
 from ..inference_engine import InferenceEngine
-from .stateful_model import StatefulModel
-from .sharded_utils import load_shard
+from .sharded_utils import load_shard, get_image_from_str
+from .losses import loss_fns 
 from ..shard import Shard
 from typing import Dict, Optional, Tuple
 from exo.download.shard_download import ShardDownloader
 import asyncio
 from concurrent.futures import ThreadPoolExecutor
+from functools import partial
+from collections import OrderedDict
+from mlx_lm.models.cache import make_prompt_cache
 
 def sample_logits(
   logits: mx.array,
@@ -37,6 +41,17 @@ class MLXDynamicShardInferenceEngine(InferenceEngine):
     self.shard = None
     self.shard_downloader = shard_downloader
     self.executor = ThreadPoolExecutor(max_workers=1)
+    self.caches = OrderedDict()
+
+  async def poll_state(self, request_id: str, max_caches=2):
+    if request_id in self.caches:
+      self.caches.move_to_end(request_id)
+    else:
+      newcache = await asyncio.get_running_loop().run_in_executor(self.executor, make_prompt_cache, self.model)
+      if len(self.caches) > max_caches:
+        self.caches.popitem(last=False)
+      self.caches[request_id] = newcache
+    return {"cache": self.caches[request_id]}
 
   async def sample(self, x, temp: float = 0.0, top_p: float = 1.0) -> np.ndarray:
     y = mx.array(x)
@@ -53,13 +68,71 @@ class MLXDynamicShardInferenceEngine(InferenceEngine):
     await self.ensure_shard(shard)
     tokens = await asyncio.get_running_loop().run_in_executor(self.executor, self.tokenizer.decode, tokens)
     return tokens
+
+  async def save_checkpoint(self, shard: Shard, path: str):
+    await self.ensure_shard(shard)
+    await asyncio.get_running_loop().run_in_executor(self.executor, self.model.save_weights, path)
+
+  async def load_checkpoint(self, shard: Shard, path: str):
+    await self.ensure_shard(shard)
+    await asyncio.get_running_loop().run_in_executor(self.executor, self.model.load_weights, path)
     
   async def infer_tensor(self, request_id: str, shard: Shard, input_data: np.ndarray, inference_state: Optional[dict] = None) -> np.ndarray:
     await self.ensure_shard(shard)
-    output_data, inference_state = await asyncio.get_running_loop().run_in_executor(self.executor, self.model, mx.array(input_data), request_id, inference_state)
+    loop = asyncio.get_running_loop()
+    state = await self.poll_state(request_id) if self.model.model_type != 'StableDiffusionPipeline' else {}
+    x = mx.array(input_data)
+    output_data,inference_state = await loop.run_in_executor(self.executor, lambda: self.model(x, **state, **inference_state))
     output_data = np.array(output_data)
     return output_data, inference_state
 
+  async def evaluate(self, request_id: str, shard: Shard, inputs, targets, lengths, loss: str = "length_masked_ce"):
+    await self.ensure_shard(shard)
+    await self.save_session('loss', loss_fns[loss])
+    loop = asyncio.get_running_loop()
+    #print(f"evaluate in <- {inputs}")
+    x = mx.array(inputs)
+    y = mx.array(targets)
+    l = mx.array(lengths)
+    score = await loop.run_in_executor(self.executor, self.session['loss'], self.model, x, y, l)
+    #print(f"evaluate out -> {score}")
+    return score
+
+  async def ensure_train(self, shard: Shard, loss: str, opt=optim.SGD, lr=1e-5, trainable_layers=['input_layernorm', 'gate_proj']):
+    await self.ensure_shard(shard)
+    if 'train_layers' not in self.session or self.session['train_layers'] != trainable_layers:
+      await self.save_session('train_layers', trainable_layers)
+      self.model.freeze()
+      self.model.apply_to_modules(lambda k, v: v.unfreeze() if any(lambda: k.endswith(i) for i in trainable_layers) else None)
+    if 'lossname' not in self.session or 'LVaG' not in self.session or self.session['lossname'] != loss:
+      await self.save_session('lossname', loss)
+      await self.save_session('LVaG', nn.value_and_grad(self.model, loss_fns[loss]))
+    if 'opt' not in self.session:
+      await self.save_session('opt', opt(lr))
+    return True
+
+  async def train(self, request_id: str, shard: Shard, inputs, targets, lengths, loss: str = "length_masked_ce", opt=optim.SGD, lr=1e-5):
+    loop = asyncio.get_running_loop()
+    nothin = await self.ensure_train(shard, loss, opt, lr)
+    def train_step(inp, tar, lng):
+      lval, grad = self.session['LVaG'](self.model, inp, tar, lng)
+      gradlayers = grad['model']['layers']
+      self.session['opt'].update(self.model, grad)
+      mx.eval(self.model.parameters(), self.session['opt'].state, lval)
+      return lval, gradlayers
+
+    x = mx.array(inputs)
+    y = mx.array(targets)
+    l = mx.array(lengths)
+
+    score, gradients = await loop.run_in_executor(self.executor, train_step, x, y, l)
+    #print(f"{score=}")
+      
+    layers = [{k: v["weight"] for k,v in l.items() if 'weight' in v} for l in gradients if l]
+    #print(layers[0])
+
+    return score, np.array(layers[0]['input_layernorm'])
+
   async def ensure_shard(self, shard: Shard):
     if self.shard == shard:
       return
@@ -67,11 +140,13 @@ class MLXDynamicShardInferenceEngine(InferenceEngine):
     model_path = await self.shard_downloader.ensure_shard(shard, self.__class__.__name__)
 
     if self.shard != shard:
-      loop = asyncio.get_running_loop()
 
       def load_shard_wrapper():
         return asyncio.run(load_shard(model_path, shard))
 
-      model_shard, self.tokenizer = await loop.run_in_executor(self.executor, load_shard_wrapper)
+      model_shard, self.tokenizer = await asyncio.get_running_loop().run_in_executor(self.executor, load_shard_wrapper)
       self.shard = shard
-      self.model = await loop.run_in_executor(self.executor, StatefulModel, model_shard) 
+      self.model = model_shard 
+      self.caches = OrderedDict()
+      self.session = {}
+

exo/inference/mlx/sharded_utils.py

@@ -159,6 +159,8 @@ def load_model_shard(
 
   if hasattr(model, "sanitize"):
     weights = model.sanitize(weights)
+  if DEBUG >= 8:
+    print(f"\n|| {config=} ||\n")
 
   if (quantization := config.get("quantization", None)) is not None:
     # Handle legacy models which may not have everything quantized
@@ -167,6 +169,7 @@ def load_model_shard(
         return False
       return f"{p}.scales" in weights
 
+
     nn.quantize(
       model,
       **quantization,

exo/inference/mlx/stateful_model.py

@@ -1,45 +0,0 @@
-from typing import Dict, Tuple, Optional
-from collections import OrderedDict
-
-import mlx.core as mx
-import mlx.nn as nn
-from mlx_lm.models.cache import make_prompt_cache
-
-from ..shard import Shard
-
-class StatefulModel(nn.Module):
-  def __init__(self, model, max_kv_size: int = 1024, max_caches: int = 2):
-    super().__init__()
-    self.model = model
-    self.max_kv_size = max_kv_size
-    self.max_caches = max_caches
-    self.caches = OrderedDict()
-  
-  def init_cache(self, request_id: str):
-    kv_heads = ([self.model.n_kv_heads]*len(self.model.layers) if isinstance(self.model.n_kv_heads, int) else self.model.n_kv_heads)
-    # if self.max_kv_size is not None:
-      # cache = [RotatingKVCache(self.model.head_dim, n, max_size=self.max_kv_size, keep=4) for n in kv_heads]
-      # cache = [KVCache(self.model.head_dim, n) for n in kv_heads]
-    # else:
-      # cache = [KVCache(self.model.head_dim, n) for n in kv_heads]
-    cache = make_prompt_cache(self.model)
-
-    if len(self.caches) >= self.max_caches:
-      self.caches.popitem(last=False)
-
-    self.caches[request_id] = cache
-
-  def __call__(self, x, request_id: str, inference_state: Optional[dict] = None):
-    if self.model.model_type !='StableDiffusionPipeline':
-      if request_id not in self.caches:
-        self.init_cache(request_id)
-      else:
-        self.caches.move_to_end(request_id)
-
-      cache = self.caches[request_id]
-
-      y = self.model(x, cache=cache)
-    else:
-      y, inference_state = self.model(x, **inference_state)
-    return y, inference_state
-    

exo/inference/mlx/test_sharded_llama.py

@@ -1,40 +0,0 @@
-import mlx.core as mx
-from exo.inference.mlx.stateful_model import StatefulModel
-from exo.inference.mlx.sharded_utils import load_shard
-from exo.inference.shard import Shard
-
-# 79, 80 for Llama-3-70B
-shard_full = Shard("llama", 0, 31, 32)
-shard1 = Shard("llama", 0, 12, 32)
-shard2 = Shard("llama", 13, 31, 32)
-
-full_model_shard, full_tokenizer = load_shard("mlx-community/Meta-Llama-3-8B-Instruct-4bit", shard=shard_full)
-model_shard1, tokenizer1 = load_shard("mlx-community/Meta-Llama-3-8B-Instruct-4bit", shard=shard1)
-model_shard2, tokenizer2 = load_shard("mlx-community/Meta-Llama-3-8B-Instruct-4bit", shard=shard2)
-
-full = StatefulModel(shard_full, full_model_shard)
-m1 = StatefulModel(shard1, model_shard1)
-m2 = StatefulModel(shard2, model_shard2)
-
-prompt = "write a beautiful haiku about a utopia where people own their AI with edge intelligence:"
-prompt_tokens = mx.array(full_tokenizer.encode(prompt))
-max_tokens = 50
-
-resp = prompt_tokens
-full_generated_tokens = []
-for _ in range(max_tokens):
-  resp = full.step(resp)
-  full_generated_tokens.append(resp.item())
-
-print("full response: ", full_tokenizer.decode(full_generated_tokens))
-
-sharded_generated_tokens = []
-sharded_resp = prompt_tokens
-for _ in range(max_tokens):
-  resp1 = m1.step(sharded_resp)
-  sharded_resp = m2.step(resp1)
-  sharded_generated_tokens.append(sharded_resp.item())
-
-print("sharded response: ", tokenizer1.decode(sharded_generated_tokens))
-
-assert tokenizer1.decode(full_generated_tokens) == tokenizer1.decode(sharded_generated_tokens)

exo/inference/mlx/test_sharded_llava.py

@@ -1,64 +0,0 @@
-import codecs
-import asyncio
-import requests
-from PIL import Image
-from io import BytesIO
-
-import mlx.core as mx
-from mlx_lm.models.cache import KVCache
-
-from exo.inference.mlx.stateful_model import StatefulModel
-from exo.inference.mlx.sharded_utils import load_shard
-from exo.inference.shard import Shard
-
-shard_full = Shard("llava", 0, 31, 32)
-shard1 = Shard("llava", 0, 12, 32)
-shard2 = Shard("llava", 13, 31, 32)
-
-model_path = "llava-hf/llava-1.5-7b-hf"
-
-full_model_shard, full_processor = asyncio.run(load_shard(model_path, shard=shard_full))
-model_shard1, processor1 = asyncio.run(load_shard(model_path, shard=shard1))
-model_shard2, processor2 = asyncio.run(load_shard(model_path, shard=shard2))
-
-full = StatefulShardedModel(shard_full, full_model_shard)
-m1 = StatefulShardedModel(shard1, model_shard1)
-m2 = StatefulShardedModel(shard2, model_shard2)
-
-PROMPT = "USER: <image>\nWhat are these?\nASSISTANT:"
-IMAGE_FILE = "http://images.cocodataset.org/val2017/000000039769.jpg"
-response = requests.get(IMAGE_FILE)
-img = Image.open(BytesIO(response.content))
-prompt = codecs.decode(PROMPT, "unicode_escape")
-inputs = full_processor(prompt, img, return_tensors="np")
-pixel_values = mx.array(inputs["pixel_values"])
-input_ids = mx.array(inputs["input_ids"])
-
-print(prompt)
-y = full.step("full", input_ids, pixel_values, temp=0)
-full_generated_tokens = [y.item()]
-
-for _ in range(13):
-  y = full.step("full", y, temp=0)
-  full_generated_tokens.append(y.item())
-
-full_response = full_processor.tokenizer.decode(full_generated_tokens)
-print("full response:", full_response)
-
-inputs = processor1(prompt, img, return_tensors="np")
-pixel_values = mx.array(inputs["pixel_values"])
-input_ids = mx.array(inputs["input_ids"])
-
-y = m1.step("shard", input_ids, pixel_values, temp=0)
-y = m2.step("shard", y, temp=0)
-full_generated_tokens = [y.item()]
-
-for _ in range(13):
-  y = m1.step("shard", y, temp=0)
-  y = m2.step("shard", y, temp=0)
-  full_generated_tokens.append(y.item())
-
-sharded_response = processor2.tokenizer.decode(full_generated_tokens)
-print("sharded response:", sharded_response)
-
-assert full_response == sharded_response

exo/inference/tinygrad/inference.py

@@ -1,20 +1,22 @@
 from pathlib import Path
 import json
 import os
-from exo.inference.tinygrad.models.llama import Transformer, convert_from_huggingface, fix_bf16, sample_logits
+from exo.inference.tinygrad.models.llama import Transformer, TransformerShard, convert_from_huggingface, fix_bf16, sample_logits
 from exo.inference.shard import Shard
 from exo.inference.tokenizers import resolve_tokenizer
-from tinygrad.nn.state import load_state_dict
-from tinygrad import Tensor, nn, Context
+from tinygrad.nn.state import safe_save, safe_load, get_state_dict, load_state_dict
+from tinygrad import Tensor, nn, Context, TinyJit
 from exo.inference.inference_engine import InferenceEngine
 import numpy as np
 from exo.inference.tinygrad.tinygrad_helpers import concat_weights, load
 from exo.download.shard_download import ShardDownloader
 from concurrent.futures import ThreadPoolExecutor
-from .stateful_model import StatefulModel
+from .stateful_model import make_prompt_state
+from .losses import length_masked_ce_loss
+from collections import OrderedDict
 import asyncio
 
-Tensor.no_grad = True
+Tensor.no_grad = True 
 # default settings
 TEMPERATURE = int(os.getenv("TEMPERATURE", 0.85))
 TOP_K = 25
@@ -55,6 +57,8 @@ def build_transformer(model_path: Path, shard: Shard, model_size="8B", device=No
   with Context(BEAM=0):
     # replace weights in model
     load_state_dict(model, weights, strict=False, consume=False)  # consume=True
+    model = TransformerShard(shard, model)
+
   return model
 
 class TinygradDynamicShardInferenceEngine(InferenceEngine):
@@ -62,6 +66,17 @@ class TinygradDynamicShardInferenceEngine(InferenceEngine):
     self.shard = None
     self.shard_downloader = shard_downloader
     self.executor = ThreadPoolExecutor(max_workers=1)
+    self.states = OrderedDict()
+
+  def poll_state(self, x, request_id: str, max_states=2):
+    if request_id not in self.states:
+      if len(self.states) >= max_states:
+        self.states.popitem(last=False)
+      self.states[request_id] = make_prompt_state(x, self.model)
+    else:
+      self.states.move_to_end(request_id)
+    state = self.states[request_id]
+    return {"start_pos": state.start, "cache": state.cache}
 
   async def sample(self, x: np.ndarray, temp=TEMPERATURE, top_p: float = 0.0) -> np.ndarray:
     logits = x[:, -1, :]
@@ -76,11 +91,53 @@ class TinygradDynamicShardInferenceEngine(InferenceEngine):
   
   async def decode(self, shard: Shard, tokens) -> str:
     await self.ensure_shard(shard)
-    return await asyncio.get_running_loop().run_in_executor(self.executor, self.tokenizer.decode, tokens)
-
+    tokens = await asyncio.get_running_loop().run_in_executor(self.executor, self.tokenizer.decode, tokens)
+    return tokens
+  
+  async def load_checkpoint(self, shard: Shard, path: str):
+    await self.ensure_shard(shard)
+    state_dict = safe_load(path)
+    await asyncio.get_running_loop().run_in_executor(self.executor, load_state_dict, self.model, state_dict)
+  
+  async def save_checkpoint(self, shard: Shard, path: str):
+    await self.ensure_shard(shard)
+    state_dict = await asyncio.get_running_loop().run_in_executor(self.executor, get_state_dict, self.model)
+    safe_save(state_dict, path) 
+  
   async def infer_tensor(self, request_id: str, shard: Shard, input_data: np.ndarray) -> np.ndarray:
     await self.ensure_shard(shard)
-    return await asyncio.get_running_loop().run_in_executor(self.executor, lambda: self.model(Tensor(input_data), request_id).realize().numpy())
+    def wrap_infer():
+      x = Tensor(input_data)
+      h = self.model.embed(x)
+      state = self.poll_state(h, request_id)
+      out = self.model.forward(h, **state)
+      self.states[request_id].start += x.shape[1]
+      return out.realize()
+    output_data = await asyncio.get_running_loop().run_in_executor(self.executor, wrap_infer)
+    return output_data.numpy()
+
+  async def evaluate(self, request_id: str, shard: Shard, inputs, targets, lengths, loss=length_masked_ce_loss):
+    def step(x, y, l):
+      Tensor.training = False
+      return self.session['loss'](self.model, x, y, l)
+    await self.ensure_shard(shard)
+    score = await asyncio.get_running_loop().run_in_executor(self.executor, lambda: self.session['jit'](Tensor(inputs), targets, lengths))
+    out = score.numpy()
+    return out
+  
+  async def train(self, request_id: str, shard: Shard, inputs, targets, lengths, loss=length_masked_ce_loss, opt=nn.optim.Adam, lr=1e-5):
+    def step(x, y, l):
+      Tensor.training = True
+      score = self.session['loss'](self.model, x, y, l)
+      self.session['opt'].zero_grad()
+      score.backward()
+      self.session['opt'].step()
+      return score
+    await self.ensure_shard(shard)
+      
+    score = await asyncio.get_running_loop().run_in_executor(self.executor, lambda: self.session['jit'](Tensor(inputs), targets, lengths).realize())
+    
+    return loss.numpy(), loss.numpy()
 
   async def ensure_shard(self, shard: Shard):
     if self.shard == shard:
@@ -96,4 +153,4 @@ class TinygradDynamicShardInferenceEngine(InferenceEngine):
       tokenizer_path = str((model_path if model_path.is_dir() else model_path.parent))
       self.tokenizer = await resolve_tokenizer(tokenizer_path)
       self.shard = shard
-      self.model = await loop.run_in_executor(self.executor, StatefulModel, model_shard) 
+      self.model = model_shard

exo/inference/tinygrad/losses.py

@@ -0,0 +1,14 @@
+from tinygrad import Tensor, dtypes
+import numpy as np
+def length_masked_ce_loss(model, inputs, targets, lengths):
+  # Run model on inputs
+  logits = model(inputs).cast(dtypes.float32).contiguous()
+
+  # Mask padding tokens
+  length_mask = Tensor(np.arange(inputs.shape[1])[None, :] < lengths[:, None], requires_grad=False)
+
+  # Calculate the loss
+  ce = logits.sparse_categorical_crossentropy(Tensor(targets, requires_grad=False)).mul(length_mask)
+  loss = ce.sum() / length_mask.sum()
+  return loss
+

exo/inference/tinygrad/models/llama.py

@@ -230,12 +230,51 @@ class Transformer:
       return self.forward_jit(x, Variable("start_pos", 1, self.max_context).bind(start_pos), cache=cache)
     return self.forward_base(x, start_pos, cache=cache)
 
-  def __call__(self, tokens: Tensor, start_pos: Variable, cache: Optional[List[Tensor]] = None):
+  def __call__(self, x: Tensor, start_pos: Variable, cache: Optional[List[Tensor]] = None):
     # TODO: better way to handle the first call v.s. the rest?
     h = self.embed(x)
     return self.forward(h, start_pos, cache=cache)
 
+class TransformerShard:
+  def __init__(
+    self,
+    shard: Shard,
+    base,
+    jit: bool = True,
+  ):
+    shardrange = range(shard.start_layer, shard.end_layer + 1)
+    self.layers = [layer for layer, n in zip(base.layers, range(shard.n_layers)) if n in shardrange]
+    self.norm = base.norm 
+    self.tok_embeddings = base.tok_embeddings
+    self.embed = (lambda x: self.tok_embeddings(x)) if shard.is_first_layer() else (lambda x: x)
+    self.output = base.output
+    self.post = (lambda x: self.output(x)) if shard.is_last_layer() else (lambda x: x)
+    self.max_context = base.max_context
+    self.null_cache = [None for _ in shardrange] 
+    self.freqs_cis = base.freqs_cis
+    self.forward_jit = TinyJit(self.forward_base) if jit else None
+
+  def forward_base(self, x: Tensor, start_pos: Union[Variable, int], cache):
+    seqlen = x.shape[1]
+    freqs_cis = self.freqs_cis.shrink((None, (start_pos, start_pos + seqlen), None, None, None))
+    mask = Tensor.full((1, 1, seqlen, start_pos + seqlen), float("-100000000"), dtype=x.dtype, device=x.device).triu(start_pos + 1).realize() if seqlen > 1 else None
+
+    for layer, c in zip(self.layers, cache):
+      x = layer(x, start_pos, freqs_cis, mask, cache=c)
 
+    out = self.post(x)
+    return out
+
+  def forward(self, x: Tensor, start_pos: int, cache: Optional[List[Tensor]] = None):
+    if x.shape[0:2] == (1, 1) and self.forward_jit is not None and start_pos != 0:
+      return self.forward_jit(x, Variable("start_pos", 1, self.max_context).bind(start_pos), cache=cache)
+    return self.forward_base(x, start_pos, cache=cache)
+
+  def __call__(self, x: Tensor, start_pos: Variable, cache: Optional[List[Tensor]] = None):
+    # TODO: better way to handle the first call v.s. the rest?
+    h = self.embed(x)
+    return self.forward(h, start_pos, cache=self.null_cache if cache is None else cache)
+      
 # *** helpers ***
 
 
@@ -275,6 +314,12 @@ def convert_from_huggingface(weights: Dict[str, Tensor], model: Transformer, n_h
 
 
 def fix_bf16(weights: Dict[Any, Tensor]):
+  if Device.DEFAULT == "CLANG":
+    # TODO: without casting to float16, 70B llama OOM on tinybox.
+    return {
+      k: (v.llvm_bf16_cast(dtypes.float32).to(v.device) if v.dtype == dtypes.bfloat16 else v) 
+      for k, v in weights.items()
+    }
   if getenv("SUPPORT_BF16", 1):
     # TODO: without casting to float16, 70B llama OOM on tinybox.
     return {k: v.cast(dtypes.float16) if v.dtype == dtypes.bfloat16 else v for k, v in weights.items()}

exo/inference/tinygrad/stateful_model.py

@@ -1,9 +1,9 @@
 from tinygrad import Tensor, Variable 
 from collections import OrderedDict
-from typing import List
+from typing import List, Optional
 
-def create_kv_cache(x: Tensor, max_context: int, n_kv_heads: int, head_dim: int):
-  cache_kv = Tensor.zeros(2, x.shape[0], max_context, n_kv_heads, head_dim, dtype=x.dtype).contiguous().realize()
+def create_kv_cache(x: Tensor, layer):
+  cache_kv = Tensor.zeros(2, x.shape[0], layer.max_context, layer.n_kv_heads, layer.head_dim, dtype=x.dtype).contiguous().realize()
   if isinstance(x.device, tuple):
     # TODO: instead of specifying how to shard, it can follow how xk and xv are being sharded
     cache_kv.shard_((x.device), axis=3 if getenv("SHARD_KVCACHE") else None).realize()
@@ -16,27 +16,7 @@ class ModelState:
     self.cache = cache
     self.start = start
 
-class StatefulModel:
-  def __init__(self, model, max_states: int = 2):
-    super().__init__()
-    self.model = model
-    self.max_states = max_states
-    self.states = OrderedDict()
- 
-  def init_cache(self, x: Tensor, request_id: str):
-    cache = [create_kv_cache(x, self.model.layers[i].attention.max_context, self.model.layers[i].attention.n_kv_heads, self.model.layers[i].attention.head_dim) for i in range(self.model.shard.start_layer, self.model.shard.end_layer + 1)]
-    if len(self.states) >= self.max_states:
-      self.states.popitem(last=False)
-
-    self.states[request_id] = ModelState(cache)
-
-  def __call__(self, x: Tensor, request_id: str): 
-    h = self.model.embed(x)
-    if request_id not in self.states:
-      self.init_cache(h, request_id)
-    else:
-      self.states.move_to_end(request_id)
-    out = self.model.forward(h, self.states[request_id].start, cache=self.states[request_id].cache)
-    self.states[request_id].start += h.shape[1]
-    return out
+def make_prompt_state(x: Tensor, model):
+  cache = [create_kv_cache(x, l.attention) for l in model.layers]
 
+  return ModelState(cache)

exo/inference/tokenizers.py

@@ -14,7 +14,7 @@ class DummyTokenizer:
     self.eos_token_id = 69
     self.vocab_size = 1000
 
-  def apply_chat_template(self, messages, tokenize=True, add_generation_prompt=True):
+  def apply_chat_template(self, conversation, tokenize=True, add_generation_prompt=True, tools=None, **kwargs):
     return "dummy_tokenized_prompt"
 
   def encode(self, text):

exo/main.py

@@ -10,9 +10,14 @@ import sys
 import time
 import traceback
 import uuid
+import numpy as np
+from functools import partial
+from tqdm import tqdm
+from tqdm.asyncio import tqdm_asyncio
+from exo.train.dataset import load_dataset, iterate_batches, compose
 from exo.networking.manual.manual_discovery import ManualDiscovery
 from exo.networking.manual.network_topology_config import NetworkTopology
-from exo.orchestration.standard_node import StandardNode
+from exo.orchestration.node import Node
 from exo.networking.grpc.grpc_server import GRPCServer
 from exo.networking.udp.udp_discovery import UDPDiscovery
 from exo.networking.tailscale.tailscale_discovery import TailscaleDiscovery
@@ -21,20 +26,25 @@ from exo.topology.ring_memory_weighted_partitioning_strategy import RingMemoryWe
 from exo.api import ChatGPTAPI
 from exo.download.shard_download import ShardDownloader, RepoProgressEvent, NoopShardDownloader
 from exo.download.hf.hf_shard_download import HFShardDownloader
-from exo.helpers import print_yellow_exo, find_available_port, DEBUG, get_system_info, get_or_create_node_id, get_all_ip_addresses, terminal_link, shutdown
+from exo.helpers import print_yellow_exo, find_available_port, DEBUG, get_system_info, get_or_create_node_id, get_all_ip_addresses_and_interfaces, terminal_link, shutdown
 from exo.inference.shard import Shard
 from exo.inference.inference_engine import get_inference_engine, InferenceEngine
 from exo.inference.tokenizers import resolve_tokenizer
-from exo.orchestration.node import Node
 from exo.models import build_base_shard, get_repo
 from exo.viz.topology_viz import TopologyViz
 from exo.download.hf.hf_helpers import has_hf_home_read_access, has_hf_home_write_access, get_hf_home, move_models_to_hf
 
 # parse args
 parser = argparse.ArgumentParser(description="Initialize GRPC Discovery")
-parser.add_argument("command", nargs="?", choices=["run"], help="Command to run")
+parser.add_argument("command", nargs="?", choices=["run", "eval", "train"], help="Command to run")
 parser.add_argument("model_name", nargs="?", help="Model name to run")
 parser.add_argument("--default-model", type=str, default=None, help="Default model")
+parser.add_argument("--iters", type=int, default=100, help="Training iterations")
+parser.add_argument("--save-every", type=int, default=5, help="Save the model every N iterations.")
+parser.add_argument("--data", type=str, default="exo/train/data/lora", help="Directory where training data lives")
+parser.add_argument("--batch-size", type=int, default=1, help="Minibatch size.")
+parser.add_argument("--resume-checkpoint", type=str, default=None, help="Path to a custom checkpoint to load")
+parser.add_argument("--save-checkpoint-dir", type=str, default="checkpoints", help="Path to a folder where checkpoints are stored")
 parser.add_argument("--node-id", type=str, default=None, help="Node ID")
 parser.add_argument("--node-host", type=str, default="0.0.0.0", help="Node host")
 parser.add_argument("--node-port", type=int, default=None, help="Node port")
@@ -80,8 +90,8 @@ if args.node_port is None:
   if DEBUG >= 1: print(f"Using available port: {args.node_port}")
 
 args.node_id = args.node_id or get_or_create_node_id()
-chatgpt_api_endpoints = [f"http://{ip}:{args.chatgpt_api_port}/v1/chat/completions" for ip in get_all_ip_addresses()]
-web_chat_urls = [f"http://{ip}:{args.chatgpt_api_port}" for ip in get_all_ip_addresses()]
+chatgpt_api_endpoints = [f"http://{ip}:{args.chatgpt_api_port}/v1/chat/completions" for ip, _ in get_all_ip_addresses_and_interfaces()]
+web_chat_urls = [f"http://{ip}:{args.chatgpt_api_port}" for ip, _ in get_all_ip_addresses_and_interfaces()]
 if DEBUG >= 0:
   print("Chat interface started:")
   for web_chat_url in web_chat_urls:
@@ -99,7 +109,7 @@ if args.discovery_module == "udp":
     args.node_port,
     args.listen_port,
     args.broadcast_port,
-    lambda peer_id, address, device_capabilities: GRPCPeerHandle(peer_id, address, device_capabilities),
+    lambda peer_id, address, description, device_capabilities: GRPCPeerHandle(peer_id, address, description, device_capabilities),
     discovery_timeout=args.discovery_timeout,
     allowed_node_ids=allowed_node_ids
   )
@@ -107,7 +117,7 @@ elif args.discovery_module == "tailscale":
   discovery = TailscaleDiscovery(
     args.node_id,
     args.node_port,
-    lambda peer_id, address, device_capabilities: GRPCPeerHandle(peer_id, address, device_capabilities),
+    lambda peer_id, address, description, device_capabilities: GRPCPeerHandle(peer_id, address, description, device_capabilities),
     discovery_timeout=args.discovery_timeout,
     tailscale_api_key=args.tailscale_api_key,
     tailnet=args.tailnet_name,
@@ -116,9 +126,9 @@ elif args.discovery_module == "tailscale":
 elif args.discovery_module == "manual":
   if not args.discovery_config_path:
     raise ValueError(f"--discovery-config-path is required when using manual discovery. Please provide a path to a config json file.")
-  discovery = ManualDiscovery(args.discovery_config_path, args.node_id, create_peer_handle=lambda peer_id, address, device_capabilities: GRPCPeerHandle(peer_id, address, device_capabilities))
+  discovery = ManualDiscovery(args.discovery_config_path, args.node_id, create_peer_handle=lambda peer_id, address, description, device_capabilities: GRPCPeerHandle(peer_id, address, description, device_capabilities))
 topology_viz = TopologyViz(chatgpt_api_endpoints=chatgpt_api_endpoints, web_chat_urls=web_chat_urls) if not args.disable_tui else None
-node = StandardNode(
+node = Node(
   args.node_id,
   None,
   inference_engine,
@@ -208,6 +218,57 @@ def clean_path(path):
         path = path.strip('Optional("').rstrip('")')
     return os.path.expanduser(path)
 
+async def hold_outstanding(node: Node):
+  while node.outstanding_requests:
+    await asyncio.sleep(.5)
+  return 
+
+async def run_iter(node: Node, shard: Shard, train: bool, data, batch_size=1):
+  losses = []
+  tokens = []
+  for batch in tqdm(iterate_batches(data, batch_size), total=len(data) // batch_size):
+    _, _, lengths = batch
+    losses.append(np.sum(lengths * await node.enqueue_example(shard, *batch, train=train)))
+    tokens.append(np.sum(lengths))
+  total_tokens = np.sum(tokens)
+  total_loss = np.sum(losses) / total_tokens
+  
+  return total_loss, total_tokens
+
+async def eval_model_cli(node: Node, inference_engine: InferenceEngine, model_name, dataloader, batch_size, num_batches=-1):
+  inference_class = inference_engine.__class__.__name__
+  shard = build_base_shard(model_name, inference_class)
+  if not shard:
+    print(f"Error: Unsupported model '{model_name}' for inference engine {inference_engine.__class__.__name__}")
+    return
+  tokenizer = await resolve_tokenizer(get_repo(shard.model_id, inference_class))
+  train, val, test = dataloader(tokenizer.encode)
+  print(f"Evaluating {len(test)} examples with batch_size {batch_size}")
+  loss, tokens = await run_iter(node, shard, False, test, batch_size)
+  print(f"total | {loss=}, {tokens=}")
+  print("Waiting for outstanding tasks")
+  await hold_outstanding(node)
+
+async def train_model_cli(node: Node, inference_engine: InferenceEngine, model_name, dataloader, batch_size, iters, save_interval=0, checkpoint_dir=None):
+  inference_class = inference_engine.__class__.__name__
+  shard = build_base_shard(model_name, inference_class)
+  if not shard:
+    print(f"Error: Unsupported model '{model_name}' for inference engine {inference_engine.__class__.__name__}")
+    return
+  tokenizer = await resolve_tokenizer(get_repo(shard.model_id, inference_class))
+  train, val, test = dataloader(tokenizer.encode)
+  print(f"Training on {len(train)} examples with batch_size {batch_size} for {iters} epochs")
+  for i in tqdm(range(3)):
+    await asyncio.sleep(1)
+  for epoch in range(iters):
+    loss, tokens = await run_iter(node, shard, True, train, batch_size)
+    print(f"epoch {epoch + 1}/{iters}\t| loss: {loss}, tokens: {tokens}")
+    if save_interval > 0 and epoch > 0 and (epoch % save_interval) == 0 and checkpoint_dir is not None:
+      await node.coordinate_save(shard, epoch, checkpoint_dir)
+      await hold_outstanding(node)
+  await hold_outstanding(node)
+
+  
 async def main():
   loop = asyncio.get_running_loop()
 
@@ -253,9 +314,29 @@ async def main():
       print("Error: Model name is required when using 'run' command or --run-model")
       return
     await run_model_cli(node, inference_engine, model_name, args.prompt)
+  elif args.command == "eval" or args.command == 'train':
+    model_name = args.model_name
+    dataloader = lambda tok: load_dataset(args.data, preprocess=lambda item: tok(item)
+                                                   , loadline=lambda line: json.loads(line).get("text",""))
+    if args.command == 'eval':
+      if not model_name:
+        print("Error: Much like a human, I can't evaluate anything without a model")
+        return
+      await eval_model_cli(node, inference_engine, model_name, dataloader, args.batch_size)
+    else:
+      if not model_name:
+        print("Error: This train ain't leaving the station without a model")
+        return
+      await train_model_cli(node, inference_engine, model_name, dataloader, args.batch_size, args.iters, save_interval=args.save_every, checkpoint_dir=args.save_checkpoint_dir)
+    
   else:
     asyncio.create_task(api.run(port=args.chatgpt_api_port))  # Start the API server as a non-blocking task
     await asyncio.Event().wait()
+  
+  if args.wait_for_peers > 0:
+    print("Cooldown to allow peers to exit gracefully")
+    for i in tqdm(range(50)):
+      await asyncio.sleep(.1)
 
 
 def run():
@@ -263,6 +344,7 @@ def run():
   asyncio.set_event_loop(loop)
   try:
     loop.run_until_complete(main())
+      
   except KeyboardInterrupt:
     print("Received keyboard interrupt. Shutting down...")
   finally:

exo/models.py

@@ -3,6 +3,13 @@ from typing import Optional, List
 
 model_cards = {
   ### llama
+  "llama-3.3-70b": {
+    "layers": 80,
+    "repo": {
+       "MLXDynamicShardInferenceEngine": "mlx-community/Llama-3.3-70B-Instruct-4bit",
+       "TinygradDynamicShardInferenceEngine": "unsloth/Llama-3.3-70B-Instruct",
+    },
+  },
   "llama-3.2-1b": {
     "layers": 16,
     "repo": {
@@ -10,6 +17,13 @@ model_cards = {
       "TinygradDynamicShardInferenceEngine": "unsloth/Llama-3.2-1B-Instruct",
     },
   },
+  "llama-3.2-1b-8bit": {
+    "layers": 16,
+    "repo": {
+      "MLXDynamicShardInferenceEngine": "mlx-community/Llama-3.2-1B-Instruct-8bit",
+      "TinygradDynamicShardInferenceEngine": "unsloth/Llama-3.2-1B-Instruct",
+    },
+  },
   "llama-3.2-3b": {
     "layers": 28,
     "repo": {
@@ -17,6 +31,20 @@ model_cards = {
        "TinygradDynamicShardInferenceEngine": "unsloth/Llama-3.2-3B-Instruct",
     },
   },
+  "llama-3.2-3b-8bit": {
+    "layers": 28,
+    "repo": {
+       "MLXDynamicShardInferenceEngine": "mlx-community/Llama-3.2-3B-Instruct-8bit",
+       "TinygradDynamicShardInferenceEngine": "unsloth/Llama-3.2-3B-Instruct",
+    },
+  },
+  "llama-3.2-3b-bf16": {
+    "layers": 28,
+    "repo": {
+       "MLXDynamicShardInferenceEngine": "mlx-community/Llama-3.2-3B-Instruct",
+       "TinygradDynamicShardInferenceEngine": "unsloth/Llama-3.2-3B-Instruct",
+    },
+  },
   "llama-3.1-8b": {
     "layers": 32,
     "repo": {
@@ -64,14 +92,17 @@ model_cards = {
   "llava-1.5-7b-hf": { "layers": 32, "repo": { "MLXDynamicShardInferenceEngine": "llava-hf/llava-1.5-7b-hf", }, },
   ### qwen
   "qwen-2.5-0.5b": { "layers": 28, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-0.5B-Instruct-4bit", }, },
+  "qwen-2.5-1.5b": { "layers": 28, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-1.5B-Instruct-4bit", }, },
   "qwen-2.5-coder-1.5b": { "layers": 28, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-Coder-1.5B-Instruct-4bit", }, },
+  "qwen-2.5-3b": { "layers": 36, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-3B-Instruct-4bit", }, },
   "qwen-2.5-coder-3b": { "layers": 36, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-Coder-3B-Instruct-4bit", }, },
-  "qwen-2.5-coder-7b": { "layers": 28, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-Coder-7B-Instruct-4bit", }, },
-  "qwen-2.5-coder-14b": { "layers": 48, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-Coder-14B-Instruct-4bit", }, },
-  "qwen-2.5-coder-32b": { "layers": 64, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-Coder-32B-Instruct-4bit", }, },
   "qwen-2.5-7b": { "layers": 28, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-7B-Instruct-4bit", }, },
+  "qwen-2.5-coder-7b": { "layers": 28, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-Coder-7B-Instruct-4bit", }, },
   "qwen-2.5-math-7b": { "layers": 28, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-Math-7B-Instruct-4bit", }, },
   "qwen-2.5-14b": { "layers": 48, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-14B-Instruct-4bit", }, },
+  "qwen-2.5-coder-14b": { "layers": 48, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-Coder-14B-Instruct-4bit", }, },
+  "qwen-2.5-32b": { "layers": 64, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-32B-Instruct-4bit", }, },
+  "qwen-2.5-coder-32b": { "layers": 64, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-Coder-32B-Instruct-4bit", }, },
   "qwen-2.5-72b": { "layers": 80, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-72B-Instruct-4bit", }, },
   "qwen-2.5-math-72b": { "layers": 80, "repo": { "MLXDynamicShardInferenceEngine": "mlx-community/Qwen2.5-Math-72B-Instruct-4bit", }, },
   ### nemotron
@@ -87,8 +118,12 @@ model_cards = {
 }
 
 pretty_name = {
+  "llama-3.3-70b": "Llama 3.3 70B",
   "llama-3.2-1b": "Llama 3.2 1B",
+  "llama-3.2-1b-8bit": "Llama 3.2 1B (8-bit)",
   "llama-3.2-3b": "Llama 3.2 3B",
+  "llama-3.2-3b-8bit": "Llama 3.2 3B (8-bit)",
+  "llama-3.2-3b-bf16": "Llama 3.2 3B (BF16)",
   "llama-3.1-8b": "Llama 3.1 8B",
   "llama-3.1-70b": "Llama 3.1 70B",
   "llama-3.1-70b-bf16": "Llama 3.1 70B (BF16)",
@@ -103,14 +138,17 @@ pretty_name = {
   "deepseek-coder-v2-lite": "Deepseek Coder V2 Lite",
   "deepseek-coder-v2.5": "Deepseek Coder V2.5",
   "llava-1.5-7b-hf": "LLaVa 1.5 7B (Vision Model)",
+  "qwen-2.5-1.5b": "Qwen 2.5 1.5B",
   "qwen-2.5-coder-1.5b": "Qwen 2.5 Coder 1.5B",
+  "qwen-2.5-3b": "Qwen 2.5 3B",
   "qwen-2.5-coder-3b": "Qwen 2.5 Coder 3B",
-  "qwen-2.5-coder-7b": "Qwen 2.5 Coder 7B",
-  "qwen-2.5-coder-14b": "Qwen 2.5 Coder 14B",
-  "qwen-2.5-coder-32b": "Qwen 2.5 Coder 32B",
   "qwen-2.5-7b": "Qwen 2.5 7B",
+  "qwen-2.5-coder-7b": "Qwen 2.5 Coder 7B",
   "qwen-2.5-math-7b": "Qwen 2.5 7B (Math)",
   "qwen-2.5-14b": "Qwen 2.5 14B",
+  "qwen-2.5-coder-14b": "Qwen 2.5 Coder 14B",
+  "qwen-2.5-32b": "Qwen 2.5 32B",
+  "qwen-2.5-coder-32b": "Qwen 2.5 Coder 32B",
   "qwen-2.5-72b": "Qwen 2.5 72B",
   "qwen-2.5-math-72b": "Qwen 2.5 72B (Math)",
   "llama-3-8b": "Llama 3 8B",

exo/networking/grpc/grpc_peer_handle.py

@@ -15,9 +15,10 @@ import json
 import mlx.core as mx
 
 class GRPCPeerHandle(PeerHandle):
-  def __init__(self, _id: str, address: str, device_capabilities: DeviceCapabilities):
+  def __init__(self, _id: str, address: str, desc: str, device_capabilities: DeviceCapabilities):
     self._id = _id
     self.address = address
+    self.desc = desc
     self._device_capabilities = device_capabilities
     self.channel = None
     self.stub = None
@@ -28,6 +29,9 @@ class GRPCPeerHandle(PeerHandle):
   def addr(self) -> str:
     return self.address
 
+  def description(self) -> str:
+    return self.desc
+
   def device_capabilities(self) -> DeviceCapabilities:
     return self._device_capabilities
 
@@ -105,6 +109,46 @@ class GRPCPeerHandle(PeerHandle):
       return None
 
     return np.frombuffer(response.tensor_data, dtype=np.dtype(response.dtype)).reshape(response.shape)
+  
+  async def send_example(self, shard: Shard, example: np.ndarray, target: np.ndarray, length: np.ndarray, train: bool, request_id: Optional[str] = None) -> Optional[np.array]:
+    request = node_service_pb2.ExampleRequest(
+      shard=node_service_pb2.Shard(
+        model_id=shard.model_id,
+        start_layer=shard.start_layer,
+        end_layer=shard.end_layer,
+        n_layers=shard.n_layers,
+      ),
+      example=node_service_pb2.Tensor(tensor_data=example.tobytes(), shape=example.shape, dtype=str(example.dtype)),
+      target=node_service_pb2.Tensor(tensor_data=target.tobytes(), shape=target.shape, dtype=str(target.dtype)),
+      length=node_service_pb2.Tensor(tensor_data=length.tobytes(), shape=length.shape, dtype=str(length.dtype)),
+      train=train,
+      request_id=request_id,
+    )
+    response = await self.stub.SendExample(request)
+    loss = response.loss
+    if train and not shard.is_first_layer():
+      grads = np.frombuffer(response.grads.tensor_data, dtype=np.dtype(response.grads.dtype)).reshape(response.grads.shape)
+      return loss, grads
+    else:
+      return loss
+  
+  async def send_loss(self, shard: Shard, tensor: np.ndarray, request_id: Optional[str] = None) -> Optional[np.array]:
+    request = node_service_pb2.TensorRequest(
+      shard=node_service_pb2.Shard(
+        model_id=shard.model_id,
+        start_layer=shard.start_layer,
+        end_layer=shard.end_layer,
+        n_layers=shard.n_layers,
+      ),
+      tensor=node_service_pb2.Tensor(tensor_data=tensor.tobytes(), shape=tensor.shape, dtype=str(tensor.dtype)),
+      request_id=request_id,
+    )
+    response = await self.stub.SendLoss(request)
+
+    if not response.tensor_data or not response.shape or not response.dtype:
+      return None
+
+    return np.frombuffer(response.tensor_data, dtype=np.dtype(response.dtype)).reshape(response.shape)
 
   async def get_inference_result(self, request_id: str) -> Tuple[Optional[np.ndarray], bool]:
     request = node_service_pb2.GetInferenceResultRequest(request_id=request_id)
@@ -122,12 +166,15 @@ class GRPCPeerHandle(PeerHandle):
     topology = Topology()
     for node_id, capabilities in response.nodes.items():
       device_capabilities = DeviceCapabilities(
-        model=capabilities.model, chip=capabilities.chip, memory=capabilities.memory, flops=DeviceFlops(fp16=capabilities.flops.fp16, fp32=capabilities.flops.fp32, int8=capabilities.flops.int8)
+        model=capabilities.model,
+        chip=capabilities.chip,
+        memory=capabilities.memory,
+        flops=DeviceFlops(fp16=capabilities.flops.fp16, fp32=capabilities.flops.fp32, int8=capabilities.flops.int8)
       )
       topology.update_node(node_id, device_capabilities)
-    for node_id, peers in response.peer_graph.items():
-      for peer_id in peers.peer_ids:
-        topology.add_edge(node_id, peer_id)
+    for node_id, peer_connections in response.peer_graph.items():
+      for conn in peer_connections.connections:
+        topology.add_edge(node_id, conn.to_id, conn.description)
     return topology
 
   async def send_result(self, request_id: str, result: List[int], is_finished: bool) -> None:

exo/networking/grpc/grpc_server.py

@@ -74,23 +74,33 @@ class GRPCServer(node_service_pb2_grpc.NodeServiceServicer):
     if DEBUG >= 5: print(f"SendTensor tensor {shard=} {tensor=} {request_id=} result: {result}")
     tensor_data = result.tobytes() if result is not None else None
     return node_service_pb2.Tensor(tensor_data=tensor_data, shape=result.shape, dtype=str(result.dtype)) if result is not None else node_service_pb2.Tensor()
-
-  async def GetInferenceResult(self, request, context):
-    request_id = request.request_id
-    result = await self.node.get_inference_result(request_id)
-    if DEBUG >= 5: print(f"GetInferenceResult {request_id=}: {result}")
-    tensor_data = result[0].tobytes() if result[0] is not None else None
-    return (
-      node_service_pb2.InferenceResult(
-        tensor=node_service_pb2.Tensor(tensor_data=tensor_data, shape=result[0].shape, dtype=str(result[0].dtype)),
-        is_finished=result[1],
-      ) if result[0] is not None else node_service_pb2.InferenceResult(is_finished=result[1])
+  
+  async def SendExample(self, request, context):
+    shard = Shard(
+      model_id=request.shard.model_id,
+      start_layer=request.shard.start_layer,
+      end_layer=request.shard.end_layer,
+      n_layers=request.shard.n_layers,
     )
+    example = np.frombuffer(request.example.tensor_data, dtype=np.dtype(request.example.dtype)).reshape(request.example.shape)
+    target = np.frombuffer(request.target.tensor_data, dtype=np.dtype(request.target.dtype)).reshape(request.target.shape)
+    length = np.frombuffer(request.length.tensor_data, dtype=np.dtype(request.length.dtype)).reshape(request.length.shape)
+    train = request.train
+    request_id = request.request_id
 
+    if train and not shard.is_first_layer():
+      loss, grad = await self.node.process_example(shard, example, target, length, train, request_id)
+      tensor_data = grad.tobytes()
+      grad_tensor = node_service_pb2.Tensor(tensor_data=tensor_data, shape=grad.shape, dtype=str(grad.dtype))
+      return node_service_pb2.Loss(loss=loss, grads=grad_tensor)
+    else:
+      loss = await self.node.process_example(shard, example, target, length, train, request_id)
+      return node_service_pb2.Loss(loss=loss, grads=None)
+    
   async def CollectTopology(self, request, context):
     max_depth = request.max_depth
     visited = set(request.visited)
-    topology = await self.node.collect_topology(visited, max_depth)
+    topology = self.node.current_topology
     nodes = {
       node_id:
         node_service_pb2.DeviceCapabilities(
@@ -101,7 +111,15 @@ class GRPCServer(node_service_pb2_grpc.NodeServiceServicer):
         )
       for node_id, cap in topology.nodes.items()
     }
-    peer_graph = {node_id: node_service_pb2.Peers(peer_ids=peers) for node_id, peers in topology.peer_graph.items()}
+    peer_graph = {
+      node_id: node_service_pb2.PeerConnections(
+        connections=[
+          node_service_pb2.PeerConnection(to_id=conn.to_id, description=conn.description)
+          for conn in connections
+        ]
+      )
+      for node_id, connections in topology.peer_graph.items()
+    }
     if DEBUG >= 5: print(f"CollectTopology {max_depth=} {visited=} {nodes=} {peer_graph=}")
     return node_service_pb2.Topology(nodes=nodes, peer_graph=peer_graph)
 

exo/networking/grpc/node_service.proto

@@ -5,6 +5,7 @@ package node_service;
 service NodeService {
   rpc SendPrompt (PromptRequest) returns (Tensor) {}
   rpc SendTensor (TensorRequest) returns (Tensor) {}
+  rpc SendExample (ExampleRequest) returns (Loss) {}
   rpc GetInferenceResult (GetInferenceResultRequest) returns (InferenceResult) {}
   rpc CollectTopology (CollectTopologyRequest) returns (Topology) {}
   rpc SendResult (SendResultRequest) returns (Empty) {}
@@ -33,6 +34,20 @@ message TensorRequest {
   optional InferenceState inference_state = 4;
 }
 
+message ExampleRequest {
+  Shard shard = 1;
+  Tensor example = 2;
+  Tensor target = 3;
+  Tensor length = 4;
+  bool train = 5;
+  optional string request_id = 6;
+}
+
+message Loss {
+  float loss = 1;
+  optional Tensor grads = 2;
+}
+  
 message GetInferenceResultRequest {
   string request_id = 1;
 }
@@ -65,17 +80,22 @@ message CollectTopologyRequest {
 
 message Topology {
   map<string, DeviceCapabilities> nodes = 1;
-  map<string, Peers> peer_graph = 2;
+  map<string, PeerConnections> peer_graph = 2;
+}
+
+message PeerConnection {
+  string to_id = 1;
+  optional string description = 2;
 }
 
-message Peers {
-    repeated string peer_ids = 1;
+message PeerConnections {
+  repeated PeerConnection connections = 1;
 }
 
 message DeviceFlops {
-  float fp32 = 1;
-  float fp16 = 2;
-  float int8 = 3;
+  double fp32 = 1;
+  double fp16 = 2;
+  double int8 = 3;
 }
 
 message DeviceCapabilities {

exo/networking/grpc/node_service_pb2_grpc.py

@@ -5,10 +5,8 @@ import warnings
 
 from exo.networking.grpc import node_service_pb2 as node__service__pb2
 
-GRPC_GENERATED_VERSION = '1.64.1'
+GRPC_GENERATED_VERSION = '1.68.0'
 GRPC_VERSION = grpc.__version__
-EXPECTED_ERROR_RELEASE = '1.65.0'
-SCHEDULED_RELEASE_DATE = 'June 25, 2024'
 _version_not_supported = False
 
 try:
@@ -18,15 +16,12 @@ except ImportError:
     _version_not_supported = True
 
 if _version_not_supported:
-    warnings.warn(
+    raise RuntimeError(
         f'The grpc package installed is at version {GRPC_VERSION},'
         + f' but the generated code in node_service_pb2_grpc.py depends on'
         + f' grpcio>={GRPC_GENERATED_VERSION}.'
         + f' Please upgrade your grpc module to grpcio>={GRPC_GENERATED_VERSION}'
         + f' or downgrade your generated code using grpcio-tools<={GRPC_VERSION}.'
-        + f' This warning will become an error in {EXPECTED_ERROR_RELEASE},'
-        + f' scheduled for release on {SCHEDULED_RELEASE_DATE}.',
-        RuntimeWarning
     )
 
 
@@ -49,6 +44,11 @@ class NodeServiceStub(object):
                 request_serializer=node__service__pb2.TensorRequest.SerializeToString,
                 response_deserializer=node__service__pb2.Tensor.FromString,
                 _registered_method=True)
+        self.SendExample = channel.unary_unary(
+                '/node_service.NodeService/SendExample',
+                request_serializer=node__service__pb2.ExampleRequest.SerializeToString,
+                response_deserializer=node__service__pb2.Loss.FromString,
+                _registered_method=True)
         self.GetInferenceResult = channel.unary_unary(
                 '/node_service.NodeService/GetInferenceResult',
                 request_serializer=node__service__pb2.GetInferenceResultRequest.SerializeToString,
@@ -91,6 +91,12 @@ class NodeServiceServicer(object):
         context.set_details('Method not implemented!')
         raise NotImplementedError('Method not implemented!')
 
+    def SendExample(self, request, context):
+        """Missing associated documentation comment in .proto file."""
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
     def GetInferenceResult(self, request, context):
         """Missing associated documentation comment in .proto file."""
         context.set_code(grpc.StatusCode.UNIMPLEMENTED)
@@ -134,6 +140,11 @@ def add_NodeServiceServicer_to_server(servicer, server):
                     request_deserializer=node__service__pb2.TensorRequest.FromString,
                     response_serializer=node__service__pb2.Tensor.SerializeToString,
             ),
+            'SendExample': grpc.unary_unary_rpc_method_handler(
+                    servicer.SendExample,
+                    request_deserializer=node__service__pb2.ExampleRequest.FromString,
+                    response_serializer=node__service__pb2.Loss.SerializeToString,
+            ),
             'GetInferenceResult': grpc.unary_unary_rpc_method_handler(
                     servicer.GetInferenceResult,
                     request_deserializer=node__service__pb2.GetInferenceResultRequest.FromString,
@@ -224,6 +235,33 @@ class NodeService(object):
             metadata,
             _registered_method=True)
 
+    @staticmethod
+    def SendExample(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/node_service.NodeService/SendExample',
+            node__service__pb2.ExampleRequest.SerializeToString,
+            node__service__pb2.Loss.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
     @staticmethod
     def GetInferenceResult(request,
             target,

exo/networking/manual/manual_discovery.py

@@ -1,7 +1,9 @@
+import os
 import asyncio
-from exo.networking.discovery import Discovery
-from typing import Dict, List, Callable
+from typing import Dict, List, Callable, Optional
+from concurrent.futures import ThreadPoolExecutor
 
+from exo.networking.discovery import Discovery
 from exo.topology.device_capabilities import DeviceCapabilities
 from exo.networking.manual.network_topology_config import NetworkTopology, PeerConfig
 from exo.helpers import DEBUG_DISCOVERY
@@ -13,28 +15,25 @@ class ManualDiscovery(Discovery):
     self,
     network_config_path: str,
     node_id: str,
-    create_peer_handle: Callable[[str, str, DeviceCapabilities], PeerHandle],
+    create_peer_handle: Callable[[str, str, str, DeviceCapabilities], PeerHandle],
   ):
-    self.topology = NetworkTopology.from_path(network_config_path)
+    self.network_config_path = network_config_path
+    self.node_id = node_id
     self.create_peer_handle = create_peer_handle
 
-    if node_id not in self.topology.peers:
-      raise ValueError(
-        f"Node ID {node_id} not found in network config file {network_config_path}. Please run with `node_id` set to one of the keys in the config file: {[k for k, _ in self.topology.peers]}"
-      )
-
     self.listen_task = None
-
     self.known_peers: Dict[str, PeerHandle] = {}
-    self.peers_in_network: Dict[str, PeerConfig] = self.topology.peers
-    self.peers_in_network.pop(node_id)
+
+    self._cached_peers: Dict[str, PeerConfig] = {}
+    self._last_modified_time: Optional[float] = None
+    self._file_executor = ThreadPoolExecutor(max_workers=1)
 
   async def start(self) -> None:
     self.listen_task = asyncio.create_task(self.task_find_peers_from_config())
 
   async def stop(self) -> None:
-    if self.listen_task:
-      self.listen_task.cancel()
+    if self.listen_task: self.listen_task.cancel()
+    self._file_executor.shutdown(wait=True)
 
   async def discover_peers(self, wait_for_peers: int = 0) -> List[PeerHandle]:
     if wait_for_peers > 0:
@@ -47,25 +46,56 @@ class ManualDiscovery(Discovery):
   async def task_find_peers_from_config(self):
     if DEBUG_DISCOVERY >= 2: print("Starting task to find peers from config...")
     while True:
-      for peer_id, peer_config in self.peers_in_network.items():
+      peers_from_config = await self._get_peers()
+      new_known_peers = {}
+      for peer_id, peer_config in peers_from_config.items():
         try:
           if DEBUG_DISCOVERY >= 2: print(f"Checking peer {peer_id=} at {peer_config.address}:{peer_config.port}")
           peer = self.known_peers.get(peer_id)
           if not peer:
             if DEBUG_DISCOVERY >= 2: print(f"{peer_id=} not found in known peers. Adding.")
-            peer = self.create_peer_handle(peer_id, f"{peer_config.address}:{peer_config.port}", peer_config.device_capabilities)
+            peer = self.create_peer_handle(peer_id, f"{peer_config.address}:{peer_config.port}", "MAN", peer_config.device_capabilities)
           is_healthy = await peer.health_check()
           if is_healthy:
             if DEBUG_DISCOVERY >= 2: print(f"{peer_id=} at {peer_config.address}:{peer_config.port} is healthy.")
-            self.known_peers[peer_id] = peer
-          else:
-            if DEBUG_DISCOVERY >= 2: print(f"{peer_id=} at {peer_config.address}:{peer_config.port} is not healthy.")
-            try:
-              del self.known_peers[peer_id]
-            except KeyError:
-              pass
+            new_known_peers[peer_id] = peer
+          elif DEBUG_DISCOVERY >= 2:
+            print(f"{peer_id=} at {peer_config.address}:{peer_config.port} is not healthy. Removing.")
         except Exception as e:
           if DEBUG_DISCOVERY >= 2: print(f"Exception occured when attempting to add {peer_id=}: {e}")
+      self.known_peers = new_known_peers
       await asyncio.sleep(1.0)
 
       if DEBUG_DISCOVERY >= 2: print(f"Current known peers: {[peer.id() for peer in self.known_peers.values()]}")
+
+  async def _get_peers(self):
+    try:
+      loop = asyncio.get_running_loop()
+      current_mtime = await loop.run_in_executor(self._file_executor, os.path.getmtime, self.network_config_path)
+
+      if (self._cached_peers is not None and self._last_modified_time is not None and current_mtime <= self._last_modified_time):
+        return self._cached_peers
+
+      topology = await loop.run_in_executor(self._file_executor, NetworkTopology.from_path, self.network_config_path)
+
+      if self.node_id not in topology.peers:
+        raise ValueError(
+          f"Node ID {self.node_id} not found in network config file "
+          f"{self.network_config_path}. Please run with `node_id` set to "
+          f"one of the keys in the config file: {[k for k, _ in topology.peers]}"
+        )
+
+      peers_in_network = topology.peers
+      peers_in_network.pop(self.node_id)
+
+      self._cached_peers = peers_in_network
+      self._last_modified_time = current_mtime
+
+      return peers_in_network
+
+    except Exception as e:
+      if DEBUG_DISCOVERY >= 2:
+        print(f"Error when loading network config file from {self.network_config_path}. "
+              f"Please update the config file in order to successfully discover peers. "
+              f"Exception: {e}")
+      return self._cached_peers

exo/networking/manual/test_data/test_config.json

@@ -29,4 +29,4 @@
       }
     }
   }
-}
+}

exo/networking/manual/test_manual_discovery.py

@@ -1,3 +1,4 @@
+import json
 import asyncio
 import unittest
 from unittest import mock
@@ -14,8 +15,12 @@ class TestSingleNodeManualDiscovery(unittest.IsolatedAsyncioTestCase):
   async def asyncSetUp(self):
     self.peer1 = mock.AsyncMock()
     self.peer1.connect = mock.AsyncMock()
-    self.discovery1 = ManualDiscovery(root_path, "node1", create_peer_handle=lambda peer_id, address, device_capabilities: self.peer1)
-    _ = self.discovery1.start()
+    self.discovery1 = ManualDiscovery(
+      root_path,
+      "node1",
+      create_peer_handle=lambda peer_id, address, description, device_capabilities: self.peer1,
+    )
+    await self.discovery1.start()
 
   async def asyncTearDown(self):
     await self.discovery1.stop()
@@ -33,8 +38,16 @@ class TestManualDiscovery(unittest.IsolatedAsyncioTestCase):
     self.peer2 = mock.AsyncMock()
     self.peer1.connect = mock.AsyncMock()
     self.peer2.connect = mock.AsyncMock()
-    self.discovery1 = ManualDiscovery(root_path, "node1", create_peer_handle=lambda peer_id, address, device_capabilities: self.peer1)
-    self.discovery2 = ManualDiscovery(root_path, "node2", create_peer_handle=lambda peer_id, address, device_capabilities: self.peer2)
+    self.discovery1 = ManualDiscovery(
+      root_path,
+      "node1",
+      create_peer_handle=lambda peer_id, address, description, device_capabilities: self.peer1,
+    )
+    self.discovery2 = ManualDiscovery(
+      root_path,
+      "node2",
+      create_peer_handle=lambda peer_id, address, description, device_capabilities: self.peer2,
+    )
     await self.discovery1.start()
     await self.discovery2.start()
 
@@ -63,8 +76,16 @@ class TestManualDiscoveryWithGRPCPeerHandle(unittest.IsolatedAsyncioTestCase):
     self.server2 = GRPCServer(self.node2, config.peers["node2"].address, config.peers["node2"].port)
     await self.server1.start()
     await self.server2.start()
-    self.discovery1 = ManualDiscovery(root_path, "node1", create_peer_handle=lambda peer_id, address, device_capabilities: GRPCPeerHandle(peer_id, address, device_capabilities))
-    self.discovery2 = ManualDiscovery(root_path, "node2", create_peer_handle=lambda peer_id, address, device_capabilities: GRPCPeerHandle(peer_id, address, device_capabilities))
+    self.discovery1 = ManualDiscovery(
+      root_path,
+      "node1",
+      create_peer_handle=lambda peer_id, address, description, device_capabilities: GRPCPeerHandle(peer_id, address, description, device_capabilities),
+    )
+    self.discovery2 = ManualDiscovery(
+      root_path,
+      "node2",
+      create_peer_handle=lambda peer_id, address, description, device_capabilities: GRPCPeerHandle(peer_id, address, description, device_capabilities),
+    )
     await self.discovery1.start()
     await self.discovery2.start()
 
@@ -98,6 +119,63 @@ class TestManualDiscoveryWithGRPCPeerHandle(unittest.IsolatedAsyncioTestCase):
     self.assertFalse(await peers1[0].is_connected())
     self.assertFalse(await peers2[0].is_connected())
 
+  async def test_dynamic_config_update(self):
+    initial_peers = await self.discovery1.discover_peers(wait_for_peers=1)
+    self.assertEqual(len(initial_peers), 1)
+
+    # Save original config for cleanup
+    with open(root_path, "r") as f:
+      original_config = json.load(f)
+
+    try:
+      updated_config = {
+        "peers": {
+          **original_config["peers"],
+          "node3": {
+            "address": "localhost",
+            "port": 50053,
+            "device_capabilities": {
+              "model": "Unknown Model",
+              "chip": "Unknown Chip",
+              "memory": 0,
+              "flops": {"fp32": 0, "fp16": 0, "int8": 0},
+            },
+          },
+        }
+      }
+
+      with open(root_path, "w") as f:
+        json.dump(updated_config, f, indent=2)
+
+      node3 = mock.AsyncMock(spec=Node)
+      server3 = GRPCServer(node3, "localhost", 50053)
+      await server3.start()
+
+      try:
+        # Wait for the config to be reloaded
+        await asyncio.sleep(1.5)
+
+        updated_peers = await self.discovery1.discover_peers(wait_for_peers=2)
+        self.assertEqual(len(updated_peers), 2)
+
+        for peer in updated_peers:
+          await peer.connect()
+          self.assertTrue(await peer.is_connected())
+
+      finally:
+        await server3.stop()
+
+    finally:
+      # Restore the original config file
+      with open(root_path, "w") as f:
+        json.dump(original_config, f, indent=2)
+
+    # Wait for the config to be reloaded again
+    await asyncio.sleep(1.5)
+
+    updated_peers = await self.discovery1.discover_peers(wait_for_peers=1)
+    self.assertEqual(len(updated_peers), 1)
+
 
 if __name__ == "__main__":
   asyncio.run(unittest.main())

exo/networking/peer_handle.py

@@ -15,6 +15,10 @@ class PeerHandle(ABC):
   def addr(self) -> str:
     pass
 
+  @abstractmethod
+  def description(self) -> str:
+    pass
+
   @abstractmethod
   def device_capabilities(self) -> DeviceCapabilities:
     pass

exo/networking/tailscale/tailscale_discovery.py

@@ -14,7 +14,7 @@ class TailscaleDiscovery(Discovery):
     self,
     node_id: str,
     node_port: int,
-    create_peer_handle: Callable[[str, str, DeviceCapabilities], PeerHandle],
+    create_peer_handle: Callable[[str, str, str, DeviceCapabilities], PeerHandle],
     discovery_interval: int = 5,
     discovery_timeout: int = 30,
     update_interval: int = 15,
@@ -91,7 +91,7 @@ class TailscaleDiscovery(Discovery):
             continue
 
           if peer_id not in self.known_peers or self.known_peers[peer_id][0].addr() != f"{peer_host}:{peer_port}":
-            new_peer_handle = self.create_peer_handle(peer_id, f"{peer_host}:{peer_port}", device_capabilities)
+            new_peer_handle = self.create_peer_handle(peer_id, f"{peer_host}:{peer_port}", "TS", device_capabilities)
             if not await new_peer_handle.health_check():
               if DEBUG >= 1: print(f"Peer {peer_id} at {peer_host}:{peer_port} is not healthy. Skipping.")
               continue

exo/networking/tailscale/test_tailscale_discovery.py

@@ -13,7 +13,7 @@ class TestTailscaleDiscovery(unittest.IsolatedAsyncioTestCase):
     self.discovery = TailscaleDiscovery(
       node_id="test_node",
       node_port=50051,
-      create_peer_handle=lambda peer_id, address, device_capabilities: unittest.mock.Mock(spec=PeerHandle, id=lambda: peer_id),
+      create_peer_handle=lambda peer_id, address, description, device_capabilities: unittest.mock.Mock(spec=PeerHandle, id=lambda: peer_id),
       tailscale_api_key=self.tailscale_api_key,
       tailnet=self.tailnet
     )

exo/networking/udp/test_udp_discovery.py

@@ -13,8 +13,8 @@ class TestUDPDiscovery(unittest.IsolatedAsyncioTestCase):
     self.peer2 = mock.AsyncMock()
     self.peer1.connect = mock.AsyncMock()
     self.peer2.connect = mock.AsyncMock()
-    self.discovery1 = UDPDiscovery("discovery1", 50051, 5678, 5679, create_peer_handle=lambda peer_id, address, device_capabilities: self.peer1)
-    self.discovery2 = UDPDiscovery("discovery2", 50052, 5679, 5678, create_peer_handle=lambda peer_id, address, device_capabilities: self.peer2)
+    self.discovery1 = UDPDiscovery("discovery1", 50051, 5678, 5679, create_peer_handle=lambda peer_id, address, description, device_capabilities: self.peer1)
+    self.discovery2 = UDPDiscovery("discovery2", 50052, 5679, 5678, create_peer_handle=lambda peer_id, address, description, device_capabilities: self.peer2)
     await self.discovery1.start()
     await self.discovery2.start()
 
@@ -41,8 +41,8 @@ class TestUDPDiscoveryWithGRPCPeerHandle(unittest.IsolatedAsyncioTestCase):
     self.server2 = GRPCServer(self.node2, "localhost", 50054)
     await self.server1.start()
     await self.server2.start()
-    self.discovery1 = UDPDiscovery("discovery1", 50053, 5678, 5679, lambda peer_id, address, device_capabilities: GRPCPeerHandle(peer_id, address, device_capabilities))
-    self.discovery2 = UDPDiscovery("discovery2", 50054, 5679, 5678, lambda peer_id, address, device_capabilities: GRPCPeerHandle(peer_id, address, device_capabilities))
+    self.discovery1 = UDPDiscovery("discovery1", 50053, 5678, 5679, lambda peer_id, address, description, device_capabilities: GRPCPeerHandle(peer_id, address, description, device_capabilities))
+    self.discovery2 = UDPDiscovery("discovery2", 50054, 5679, 5678, lambda peer_id, address, description, device_capabilities: GRPCPeerHandle(peer_id, address, description, device_capabilities))
     await self.discovery1.start()
     await self.discovery2.start()
 

exo/networking/udp/udp_discovery.py

@@ -7,7 +7,7 @@ from typing import List, Dict, Callable, Tuple, Coroutine
 from exo.networking.discovery import Discovery
 from exo.networking.peer_handle import PeerHandle
 from exo.topology.device_capabilities import DeviceCapabilities, device_capabilities, UNKNOWN_DEVICE_CAPABILITIES
-from exo.helpers import DEBUG, DEBUG_DISCOVERY, get_all_ip_addresses
+from exo.helpers import DEBUG, DEBUG_DISCOVERY, get_all_ip_addresses_and_interfaces, get_interface_priority_and_type
 
 
 class ListenProtocol(asyncio.DatagramProtocol):
@@ -41,8 +41,8 @@ class UDPDiscovery(Discovery):
     node_port: int,
     listen_port: int,
     broadcast_port: int,
-    create_peer_handle: Callable[[str, str, DeviceCapabilities], PeerHandle],
-    broadcast_interval: int = 1,
+    create_peer_handle: Callable[[str, str, str, DeviceCapabilities], PeerHandle],
+    broadcast_interval: int = 2.5,
     discovery_timeout: int = 30,
     device_capabilities: DeviceCapabilities = UNKNOWN_DEVICE_CAPABILITIES,
     allowed_node_ids: List[str] = None,
@@ -87,27 +87,28 @@ class UDPDiscovery(Discovery):
     while True:
       # Explicitly broadcasting on all assigned ips since broadcasting on `0.0.0.0` on MacOS does not broadcast over
       # the Thunderbolt bridge when other connection modalities exist such as WiFi or Ethernet
-      for addr in get_all_ip_addresses():
+      for addr, interface_name in get_all_ip_addresses_and_interfaces():
+        interface_priority, interface_type = await get_interface_priority_and_type(interface_name)
         message = json.dumps({
           "type": "discovery",
           "node_id": self.node_id,
           "grpc_port": self.node_port,
           "device_capabilities": self.device_capabilities.to_dict(),
-          "priority": 1,  # For now, every interface has the same priority. We can make this better by prioriting interfaces based on bandwidth, latency, and jitter e.g. prioritise Thunderbolt over WiFi.
+          "priority": interface_priority, # TODO: Prioritise interfaces based on bandwidth, latency, and jitter e.g. prioritise Thunderbolt over WiFi.
+          "interface_name": interface_name,
+          "interface_type": interface_type,
         })
-        if DEBUG_DISCOVERY >= 3: print(f"Broadcasting presence at ({addr}): {message}")
+        if DEBUG_DISCOVERY >= 3: print(f"Broadcasting presence at ({addr} - {interface_name} - {interface_priority}): {message}")
 
         transport = None
         try:
           transport, _ = await asyncio.get_event_loop().create_datagram_endpoint(lambda: BroadcastProtocol(message, self.broadcast_port), local_addr=(addr, 0), family=socket.AF_INET)
-          if DEBUG_DISCOVERY >= 3:
-            print(f"Broadcasting presence at ({addr})")
+          if DEBUG_DISCOVERY >= 3: print(f"Broadcasting presence at ({addr} - {interface_name} - {interface_priority})")
         except Exception as e:
-          print(f"Error in broadcast presence ({addr}): {e}")
+          print(f"Error in broadcast presence ({addr} - {interface_name} - {interface_priority}): {e}")
         finally:
           if transport:
-            try:
-              transport.close()
+            try: transport.close()
             except Exception as e:
               if DEBUG_DISCOVERY >= 2: print(f"Error closing transport: {e}")
               if DEBUG_DISCOVERY >= 2: traceback.print_exc()
@@ -144,6 +145,8 @@ class UDPDiscovery(Discovery):
       peer_host = addr[0]
       peer_port = message["grpc_port"]
       peer_prio = message["priority"]
+      peer_interface_name = message["interface_name"]
+      peer_interface_type = message["interface_type"]
       device_capabilities = DeviceCapabilities(**message["device_capabilities"])
 
       if peer_id not in self.known_peers or self.known_peers[peer_id][0].addr() != f"{peer_host}:{peer_port}":
@@ -153,7 +156,7 @@ class UDPDiscovery(Discovery):
             if DEBUG >= 1:
               print(f"Ignoring peer {peer_id} at {peer_host}:{peer_port} with priority {peer_prio} because we already know about a peer with higher or equal priority: {existing_peer_prio}")
             return
-        new_peer_handle = self.create_peer_handle(peer_id, f"{peer_host}:{peer_port}", device_capabilities)
+        new_peer_handle = self.create_peer_handle(peer_id, f"{peer_host}:{peer_port}", f"{peer_interface_type} ({peer_interface_name})", device_capabilities)
         if not await new_peer_handle.health_check():
           if DEBUG >= 1: print(f"Peer {peer_id} at {peer_host}:{peer_port} is not healthy. Skipping.")
           return

exo/orchestration/__init__.py

@@ -1,4 +1,3 @@
 from .node import Node
-from .standard_node import StandardNode
 
-__all__ = ["Node", "StandardNode"]
+__all__ = ["Node"]

exo/orchestration/node.py

@@ -1,47 +1,659 @@
-from typing import Optional, Tuple, List
 import numpy as np
-from abc import ABC, abstractmethod
-from exo.helpers import AsyncCallbackSystem
-from exo.inference.shard import Shard
+import json
+import asyncio
+import uuid
+import time
+import traceback
+from typing import List, Dict, Optional, Tuple, Union, Set
+from exo.networking import Discovery, PeerHandle, Server
+from exo.inference.inference_engine import InferenceEngine, Shard
 from exo.topology.topology import Topology
+from exo.topology.device_capabilities import device_capabilities
+from exo.topology.partitioning_strategy import Partition, PartitioningStrategy, map_partitions_to_shards
+from exo import DEBUG
+from exo.helpers import AsyncCallbackSystem
+from exo.viz.topology_viz import TopologyViz
+from exo.download.hf.hf_helpers import RepoProgressEvent
+from exo.inference.inference_engine import get_inference_engine, InferenceEngine
+from exo.download.hf.hf_shard_download import HFShardDownloader
 
+class Node:
+  def __init__(
+    self,
+    _id: str,
+    server: Server,
+    inference_engine: InferenceEngine,
+    discovery: Discovery,
+    partitioning_strategy: PartitioningStrategy = None,
+    max_generate_tokens: int = 1024,
+    default_sample_temperature: float = 0.0,
+    topology_viz: Optional[TopologyViz] = None,
+    shard_downloader: Optional[HFShardDownloader] = None,
+  ):
+    self.id = _id
+    self.inference_engine = inference_engine
+    self.server = server
+    self.discovery = discovery
+    self.partitioning_strategy = partitioning_strategy
+    self.peers: List[PeerHandle] = {}
+    self.topology: Topology = Topology()
+    self.device_capabilities = device_capabilities()
+    self.buffered_token_output: Dict[str, Tuple[List[int], bool]] = {}
+    self.buffered_logits: Dict[str, List[np.ndarray]] = {}
+    self.buffered_inputs: Dict[str, List[np.ndarray]] = {}
+    self.buffered_partials: Dict[str, List[np.ndarray]] = {}
+    self.checkpoints: Dict[str, Dict[str, int]] = {}
+    
+    self.max_generate_tokens = max_generate_tokens
+    self.topology_viz = topology_viz
+    self.default_sample_temperature = default_sample_temperature
+    self._on_token = AsyncCallbackSystem[str, Tuple[str, List[int], bool]]()
+    self._on_opaque_status = AsyncCallbackSystem[str, Tuple[str, str]]()
+    self._on_opaque_status.register("node_status").on_next(self.on_node_status)
+    self.node_download_progress: Dict[str, RepoProgressEvent] = {}
+    self.topology_inference_engines_pool: List[List[str]] = []
+    self.shard_downloader = shard_downloader
+    self.outstanding_requests = {}
 
-class Node(ABC):
-  @abstractmethod
   async def start(self, wait_for_peers: int = 0) -> None:
-    pass
+    await self.server.start()
+    await self.discovery.start()
+    await self.update_peers(wait_for_peers)
+    await self.collect_topology(set())
+    if DEBUG >= 2: print(f"Collected topology: {self.topology}")
+    asyncio.create_task(self.periodic_topology_collection(2.0))
 
-  @abstractmethod
   async def stop(self) -> None:
-    pass
+    await self.discovery.stop()
+    await self.server.stop()
+
+  def on_node_status(self, request_id, opaque_status):
+    try:
+      status_data = json.loads(opaque_status)
+      if status_data.get("type", "") == "supported_inference_engines":
+        node_id = status_data.get("node_id")
+        engines = status_data.get("engines", [])
+        self.topology_inference_engines_pool.append(engines)
+      if status_data.get("type", "") == "node_status":
+        if status_data.get("status", "").startswith("start_"):
+          self.current_topology.active_node_id = status_data.get("node_id")
+        elif status_data.get("status", "").startswith("end_"):
+          if status_data.get("node_id") == self.current_topology.active_node_id:
+            self.current_topology.active_node_id = None
+      download_progress = None
+      if status_data.get("type", "") == "download_progress":
+        if DEBUG >= 8: print(f"Download progress from {status_data.get('node_id')}: {status_data.get('progress')}")
+        download_progress = RepoProgressEvent.from_dict(status_data.get('progress'))
+        self.node_download_progress[status_data.get('node_id')] = download_progress
+      if self.topology_viz:
+        self.topology_viz.update_visualization(self.topology, self.partitioning_strategy.partition(self.topology), self.id, self.node_download_progress)
+    except Exception as e:
+      if DEBUG >= 1: print(f"Error updating visualization: {e}")
+      if DEBUG >= 1: traceback.print_exc()
+
+  def get_supported_inference_engines(self):
+    supported_engine_names = []
+    if self.inference_engine.__class__.__name__ == 'MLXDynamicShardInferenceEngine':
+      supported_engine_names.append('mlx')
+      supported_engine_names.append('tinygrad')
+    else:
+      supported_engine_names.append('tinygrad')
+    return supported_engine_names
+
+  async def broadcast_supported_engines(self, supported_engines_names: List[str]):
+    status_message = json.dumps({"type": "supported_inference_engines", "node_id": self.id, "engines": supported_engines_names})
+    await self.broadcast_opaque_status("", status_message)
+
+  def get_topology_inference_engines(self) -> List[List[str]]:
+    return self.topology_inference_engines_pool
+  
+  async def process_inference_result(
+    self,
+    shard,
+    result: np.ndarray,
+    request_id: Optional[str] = None,
+    inference_state: Optional[dict] = None,
+  ):
+    if shard.model_id != 'stable-diffusion-2-1-base':
+      if request_id not in self.buffered_token_output:
+        self.buffered_token_output[request_id] = ([], False)
+      is_finished = len(self.buffered_token_output[request_id][0]) >= self.max_generate_tokens
+      if shard.is_last_layer() and not is_finished:
+        token = await self.inference_engine.sample(result, temp=self.default_sample_temperature)
+        await self.inference_engine.ensure_shard(shard)
+        self.buffered_token_output[request_id][0].append(token.item())
+        is_finished = token.item() == self.inference_engine.tokenizer.eos_token_id or is_finished or len(self.buffered_token_output[request_id][0]) >= self.max_generate_tokens
+        if DEBUG >= 2: print(f"[{request_id}] result size: {result.size}, is finished: {is_finished}, buffered tokens: {len(self.buffered_token_output[request_id][0])}")
+        asyncio.create_task(self.broadcast_result(request_id, *self.buffered_token_output[request_id]))
+        forward = token.reshape(1, -1)
+        intermediate_result = self.buffered_token_output[request_id][0]
+      else:
+        forward = result
+    else:
+      await self.inference_engine.ensure_shard(shard)
+      is_finished = inference_state.get("is_finished", False)
+      intermediate_result, inference_state = self.handle_stable_diffusion(inference_state, result)
+      forward = result
+    if shard.is_last_layer():
+      self.trigger_on_token_callbacks(request_id, intermediate_result, is_finished)
+      asyncio.create_task(self.broadcast_result(request_id, intermediate_result, is_finished))
+
+    if is_finished:
+      if shard.model_id != 'stable-diffusion-2-1-base':
+        self.buffered_token_output[request_id] = (self.buffered_token_output[request_id][0], True)
+      self.outstanding_requests.pop(request_id)
+    else:
+      self.outstanding_requests[request_id] = "waiting"
+      asyncio.create_task(self.forward_tensor(shard, forward, request_id, self.get_partition_index(offset = 1), inference_state))
+
+    return  np.array(self.buffered_token_output[request_id][0]) if shard.model_id != 'stable-diffusion-2-1-base' else intermediate_result
+
+
+  async def process_prompt(
+    self,
+    base_shard: Shard,
+    prompt: str,
+    request_id: Optional[str] = None,
+    inference_state: Optional[dict] = {},
+  ) -> Optional[np.ndarray]:
+    shard = self.get_current_shard(base_shard)
+    asyncio.create_task(
+      self.broadcast_opaque_status(
+        request_id,
+        json.dumps({
+          "type": "node_status",
+          "node_id": self.id,
+          "status": "start_process_prompt",
+          "base_shard": base_shard.to_dict(),
+          "shard": shard.to_dict(),
+          "prompt": prompt,
+          "request_id": request_id,
+        }),
+      )
+    )
+    start_time = time.perf_counter_ns()
+    resp = await self._process_prompt(base_shard, prompt, request_id, inference_state)
+    end_time = time.perf_counter_ns()
+    elapsed_time_ns = end_time - start_time
+    asyncio.create_task(
+      self.broadcast_opaque_status(
+        request_id,
+        json.dumps({
+          "type": "node_status",
+          "node_id": self.id,
+          "status": "end_process_prompt",
+          "base_shard": base_shard.to_dict(),
+          "shard": shard.to_dict(),
+          "prompt": prompt,
+          "request_id": request_id,
+          "elapsed_time_ns": elapsed_time_ns,
+          "result_size": resp.size if resp is not None else 0,
+        }),
+      )
+    )
+    return resp
+
+  async def _process_prompt(self, base_shard: Shard, prompt: str, request_id: Optional[str] = None, inference_state: Optional[dict] = None) -> Optional[np.ndarray]:
+    if request_id is None:
+      request_id = str(uuid.uuid4())
+    shard = self.get_current_shard(base_shard)
+
+    if DEBUG >= 2: print(f"[{request_id}] process prompt: {base_shard=} {shard=} {prompt=}")
+    if not shard.is_first_layer():
+      if DEBUG >= 2: print(f"[{request_id}] forwarding to next shard: {base_shard=} {shard=} {prompt=}")
+      self.outstanding_requests[request_id] = "waiting"
+      resp = await self.forward_prompt(shard, prompt, request_id, 0, inference_state)
+      return None
+    else:
+      self.outstanding_requests[request_id] = "processing"
+      result,inference_state = await self.inference_engine.infer_prompt(request_id, shard, prompt, inference_state)
+      ret = await self.process_inference_result(shard, result, request_id, inference_state)
+      return result
+
+  async def enqueue_example(
+    self,
+    base_shard: Shard,
+    example: np.ndarray,
+    target: np.ndarray, 
+    length: np.ndarray,
+    request_id: Optional[str] = None,
+    train: bool = False,
+  ):
+    shard = self.get_current_shard(base_shard)
+    if shard.is_first_layer():
+      loss = await self.process_example(shard, example, target, length, train, request_id)
+      return loss
+    else:
+      if request_id is None:
+        request_id = str(uuid.uuid4())
+      self.outstanding_requests[request_id] = "waiting"
+      loss = await self.forward_example(shard, example, target, length, train, request_id, 0) 
+    return loss
+
+  async def coordinate_save(
+    self,
+    base_shard: Shard,
+    iteration: int,
+    destination: str,
+  ):
+    shard = self.get_current_shard(base_shard)
+    model = shard.model_id
+    sid = shard.__hash__()
+    path = f"{destination}/{model}/{sid}-{iteration}.safetensors"
+    self.outstanding_requests[f"{sid}::{iteration}"] = "Checking"
+    if model not in self.checkpoints:
+      self.checkpoints[model] = {}
+    if sid not in self.checkpoints[model]:
+      self.checkpoints[model][sid] = []
+    if len(self.checkpoints[model][sid]) < 1 or self.checkpoints[model][sid][-1] < iteration:
+      print(f"Saving checkpoint to {path}")
+      self.outstanding_requests[f"{sid}::{iteration}"] = "Saving"
+      import os
+      os.makedirs("/".join(path.split("/")[:-1]), exist_ok=True)
+      await self.inference_engine.save_checkpoint(shard, path)
+      self.checkpoints[model][sid] = sorted(self.checkpoints[model][sid] + [iteration])
+    self.outstanding_requests.pop(f"{sid}::{iteration}")
+
+  async def process_example(
+    self,
+    base_shard: Shard,
+    example: np.ndarray,
+    target: np.ndarray, 
+    length: np.ndarray,
+    train: bool = False,
+    request_id: Optional[str] = None,
+  ):
+    shard = self.get_current_shard(base_shard)
+    asyncio.create_task(
+      self.broadcast_opaque_status(
+        request_id,
+        json.dumps({
+          "type": "node_status",
+          "node_id": self.id,
+          "status": f"start_{'train' if train else 'eval'}_example",
+          "base_shard": base_shard.to_dict(),
+          "shard": shard.to_dict(),
+          "example_size": example.size,
+          "example_shape": example.shape,
+          "request_id": request_id,
+        }),
+      )
+    )
+    start_time = time.perf_counter_ns()
+    resp = await self._process_example(shard, example, target, length, train, request_id)
+    end_time = time.perf_counter_ns()
+    elapsed_time_ns = end_time - start_time
+    asyncio.create_task(
+      self.broadcast_opaque_status(
+        request_id,
+        json.dumps({
+          "type": "node_status",
+          "node_id": self.id,
+          "status": f"end_{'train' if train else 'eval'}_example",
+          "base_shard": base_shard.to_dict(),
+          "shard": shard.to_dict(),
+          "request_id": request_id,
+          "elapsed_time_ns": elapsed_time_ns,
+        }),
+      )
+    )
+    return resp
+
+  async def _process_example(
+    self,
+    base_shard: Shard,
+    example: np.ndarray,
+    target: np.ndarray, 
+    length: np.ndarray,
+    train: bool = False,
+    request_id: Optional[str] = None,
+  ) -> Optional[np.ndarray]:
+    if request_id is None:
+      request_id = str(uuid.uuid4())
+    shard = self.get_current_shard(base_shard)
+    if DEBUG >= 1: print(f"[{request_id}] process_example: {example.shape=}")
+    try:
+      target = target.astype(int)
+      if train:
+        if shard.is_last_layer():
+          self.outstanding_requests[request_id] = "training"
+          loss, grad = await self.inference_engine.train(request_id, shard, example, target, length)
+        else:
+          self.outstanding_requests[request_id] = "preprocessing"
+          step = await self.inference_engine.infer_tensor(request_id, shard, example)
+          self.outstanding_requests[request_id] = "waiting"
+          loss, backgrad = await self.forward_example(shard, step, target, length, train, request_id, self.get_partition_index(offset = 1))
+          self.outstanding_requests[request_id] = "training"
+          partial_loss, grad = await self.inference_engine.train(request_id, shard, example, backgrad, length, loss="back_gradient")
+        self.outstanding_requests.pop(request_id)
+        if shard.is_first_layer():
+          return loss
+        else:
+          return loss, grad
+      else:
+        if shard.is_last_layer():
+          self.outstanding_requests[request_id] = "evaluating"
+          loss = await self.inference_engine.evaluate(request_id, shard, example, target, length)
+        else:
+          self.outstanding_requests[request_id] = "preprocessing"
+          step = await self.inference_engine.infer_tensor(request_id, shard, example)
+          self.outstanding_requests[request_id] = "waiting"
+          loss = await self.forward_example(shard, step, target, length, train, request_id, self.get_partition_index(offset = 1))
+        self.outstanding_requests.pop(request_id)
+        return loss
+    except Exception as e:
+      self.outstanding_requests.pop(request_id)
+      print(f"Error processing example for shard {shard}: {e}")
+      traceback.print_exc()
+      return None
+        
+  async def process_tensor(
+    self,
+    base_shard: Shard,
+    tensor: np.ndarray,
+    request_id: Optional[str] = None,
+    inference_state: Optional[dict] = None,
+  ) -> Optional[np.ndarray]:
+    shard = self.get_current_shard(base_shard)
+    asyncio.create_task(
+      self.broadcast_opaque_status(
+        request_id,
+        json.dumps({
+          "type": "node_status",
+          "node_id": self.id,
+          "status": "start_process_tensor",
+          "base_shard": base_shard.to_dict(),
+          "shard": shard.to_dict(),
+          "tensor_size": tensor.size,
+          "tensor_shape": tensor.shape,
+          "request_id": request_id,
+        }),
+      )
+    )
+    start_time = time.perf_counter_ns()
+    resp = await self._process_tensor(shard, tensor, request_id, inference_state)
+    end_time = time.perf_counter_ns()
+    elapsed_time_ns = end_time - start_time
+    asyncio.create_task(
+      self.broadcast_opaque_status(
+        request_id,
+        json.dumps({
+          "type": "node_status",
+          "node_id": self.id,
+          "status": "end_process_tensor",
+          "base_shard": base_shard.to_dict(),
+          "shard": shard.to_dict(),
+          "request_id": request_id,
+          "elapsed_time_ns": elapsed_time_ns,
+          "result_size": resp.size if resp is not None else 0,
+        }),
+      )
+    )
+    return resp
+
+  async def _process_tensor(
+    self,
+    base_shard: Shard,
+    tensor: np.ndarray,
+    request_id: Optional[str] = None,
+    inference_state: Optional[dict] = None,
+  ) -> Optional[np.ndarray]:
+    if request_id is None:
+      request_id = str(uuid.uuid4())
+    shard = self.get_current_shard(base_shard)
+
+    if DEBUG >= 1: print(f"[{request_id}] process_tensor: {tensor.size=} {tensor.shape=}")
+    try:
+      self.outstanding_requests[request_id] = "processing"
+      result, inference_state = await self.inference_engine.infer_tensor(request_id, shard, tensor, inference_state)
+      ret = await self.process_inference_result(shard, result, request_id, inference_state) 
+      return ret
+    except Exception as e:
+      self.outstanding_requests.pop(request_id)
+      print(f"Error processing tensor for shard {shard}: {e}")
+      traceback.print_exc()
+      return None
+  
+  async def forward_example(
+    self,
+    base_shard: Shard,
+    step: np.ndarray,
+    target: np.ndarray,
+    length: np.ndarray,
+    train: bool,
+    request_id: str,
+    target_index: int,
+  ) -> None:
+    if DEBUG >= 1: print(f"target partition index: {target_index}")
+    target_id = self.partitioning_strategy.partition(self.topology)[target_index].node_id
+    target_shard = self.get_current_shard(base_shard, target_index)
+    if DEBUG >= 2: print(f"computed target from: {base_shard} {target_index}, {self.topology}. target shard: {target_shard}")
+    target_peer = next((p for p in self.peers if p.id() == target_id), None)
+    if not target_peer:
+      raise ValueError(f"peer for {target_index} not found")
+    if DEBUG >= 1: print(f"sending example to {target_peer.id()}: {step} => {target} ({length})")
+    resp = await target_peer.send_example(target_shard, step, target, length, request_id=request_id, train=train)
+    return resp
+
+  async def forward_prompt(
+    self,
+    base_shard: Shard,
+    prompt: str,
+    request_id: str,
+    target_index: int,
+    inference_state: Optional[dict] = None,
+  ) -> None:
+    if DEBUG >= 1: print(f"target partition index: {target_index}")
+    target_id = self.partitioning_strategy.partition(self.topology)[target_index].node_id
+    next_shard = self.get_current_shard(base_shard, target_index)
+    if DEBUG >= 2: print(f"Computed target from: {base_shard} {target_index}, {self.topology}. next shard: {next_shard}")
+    if target_id == self.id:
+      await self.process_prompt(next_shard, prompt, request_id, inference_state)
+    else:
+      target_peer = next((p for p in self.peers if p.id() == target_id), None)
+      if not target_peer:
+        raise ValueError(f"Peer for {target_index} not found")
+      if DEBUG >= 1: print(f"Sending prompt to {target_peer.id()}: {prompt}")
+      await target_peer.send_prompt(next_shard, prompt, request_id=request_id, inference_state=inference_state)
+  
+  async def forward_tensor(
+    self,
+    base_shard: Shard,
+    tensor: np.ndarray,
+    request_id: str,
+    target_index: int,
+    inference_state: Optional[dict] = None,
+  ) -> None:
+    if DEBUG >= 1: print(f"target partition index: {target_index}")
+    target_id = self.partitioning_strategy.partition(self.topology)[target_index].node_id
+    next_shard = self.get_current_shard(base_shard, target_index)
+    if DEBUG >= 2: print(f"Computed target from: {base_shard} {target_index}, {self.topology}. target shard: {next_shard}")
+    if target_id == self.id:
+      await self.process_tensor(next_shard, tensor, request_id, inference_state)
+    else:
+      target_peer = next((p for p in self.peers if p.id() == target_id), None)
+      if not target_peer:
+        raise ValueError(f"Peer for {target_index} not found")
+      if DEBUG >= 1: print(f"Sending tensor to {target_peer.id()}: {tensor}")
+      await target_peer.send_tensor(next_shard, tensor, request_id=request_id, inference_state=inference_state)
+
+  def get_partition_index(self, offset: int = 0):
+    if not self.partitioning_strategy:
+      if DEBUG >= 1: print("No partitioning strategy found. Skipping forward.")
+      return None
+    partitions = self.partitioning_strategy.partition(self.topology)
+    current_partition_index = next((i for i, p in enumerate(partitions) if p.node_id == self.id), None)
+    if current_partition_index is None:
+      raise ValueError(f"No current partition found for node: {self.id}")
+    return (current_partition_index + offset) % len(partitions)
+
+  def get_current_shard(self, base_shard: Shard, index: Optional[int] = None) -> Shard:
+    if index is None:
+      index = self.get_partition_index()
+    partitions = self.partitioning_strategy.partition(self.topology)
+    shards = map_partitions_to_shards(partitions, base_shard.n_layers, base_shard.model_id)
+    return shards[index]
+
+  async def update_peers(self, wait_for_peers: int = 0) -> bool:
+    next_peers = await self.discovery.discover_peers(wait_for_peers)
+    current_peer_ids = {peer.id() for peer in self.peers}
+    next_peer_ids = {peer.id() for peer in next_peers}
+    peers_added = [peer for peer in next_peers if peer.id() not in current_peer_ids]
+    peers_removed = [peer for peer in self.peers if peer.id() not in next_peer_ids]
+    peers_updated = [peer for peer in next_peers if peer.id() in current_peer_ids and any(p.addr() != peer.addr() for p in self.peers if p.id() == peer.id())]
+    peers_unchanged = [peer for peer in next_peers if peer.id() in current_peer_ids and all(p.addr() == peer.addr() for p in self.peers if p.id() == peer.id())]
+    peers_to_disconnect = [peer for peer in peers_removed if await peer.is_connected()]
+    peers_to_connect = [peer for peer in peers_added + peers_updated + peers_unchanged if not await peer.is_connected()]
+
+    def _pretty(peers: List[PeerHandle]) -> List[str]:
+      return [f"{peer.id()}@{peer.addr()}" for peer in peers]
 
-  @abstractmethod
-  async def process_prompt(self, shard: Shard, prompt: str, request_id: Optional[str] = None, inference_state: Optional[dict] = None) -> Optional[np.ndarray]:
-    pass
+    if DEBUG >= 2:
+      print(f"update_peers: added={peers_added} removed={peers_removed} updated={peers_updated} unchanged={peers_unchanged} to_disconnect={peers_to_disconnect} to_connect={peers_to_connect}")
 
-  @abstractmethod
-  async def process_tensor(self, shard: Shard, tensor: np.ndarray, request_id: Optional[str] = None, inference_state: Optional[dict] = None) -> Optional[np.ndarray]:
-    pass
+    async def disconnect_with_timeout(peer, timeout=5):
+      try:
+        await asyncio.wait_for(peer.disconnect(), timeout)
+        return True
+      except Exception as e:
+        print(f"Error disconnecting peer {peer.id()}@{peer.addr()}: {e}")
+        traceback.print_exc()
+        return False
+
+    async def connect_with_timeout(peer, timeout=5):
+      try:
+        await asyncio.wait_for(peer.connect(), timeout)
+        return True
+      except Exception as e:
+        print(f"Error connecting peer {peer.id()}@{peer.addr()}: {e}")
+        traceback.print_exc()
+        return False
+
+    disconnect_results = await asyncio.gather(*(disconnect_with_timeout(peer) for peer in peers_to_disconnect), return_exceptions=True)
+    connect_results = await asyncio.gather(*(connect_with_timeout(peer) for peer in peers_to_connect), return_exceptions=True)
+
+    successful_disconnects = [peer for peer, result in zip(peers_to_disconnect, disconnect_results) if result is True]
+    failed_disconnects = [peer for peer, result in zip(peers_to_disconnect, disconnect_results) if result is False]
+    successful_connects = [peer for peer, result in zip(peers_to_connect, connect_results) if result is True]
+    failed_connects = [peer for peer, result in zip(peers_to_connect, connect_results) if result is False]
+    if DEBUG >= 1:
+      if successful_disconnects: print(f"Successfully disconnected peers: {_pretty(successful_disconnects)}")
+      if failed_disconnects: print(f"Failed to disconnect peers: {_pretty(failed_disconnects)}")
+      if successful_connects: print(f"Successfully connected peers: {_pretty(successful_connects)}")
+      if failed_connects: print(f"Failed to connect peers: {_pretty(failed_connects)}")
+
+    self.peers = next_peers
+    return len(peers_added) > 0 or len(peers_removed) > 0 or len(peers_updated) > 0
+
+  async def select_best_inference_engine(self):
+    if self.inference_engine.__class__.__name__ == 'DummyInferenceEngine': return
+    supported_engines = self.get_supported_inference_engines()
+    await self.broadcast_supported_engines(supported_engines)
+    if len(self.get_topology_inference_engines()):
+      self.inference_engine = get_inference_engine(supported_engines[0], self.shard_downloader)
+
+  async def periodic_topology_collection(self, interval: int):
+    while True:
+      await asyncio.sleep(interval)
+      try:
+        did_peers_change = await self.update_peers()
+        if DEBUG >= 2: print(f"{did_peers_change=}")
+        if did_peers_change:
+          await self.collect_topology(set())
+          await self.select_best_inference_engine()
+      except Exception as e:
+        print(f"Error collecting topology: {e}")
+        traceback.print_exc()
 
-  @abstractmethod
   async def get_inference_result(self, request_id: str) -> Tuple[Optional[np.ndarray], bool]:
-    pass
+    if request_id not in self.buffered_token_output:
+      return None, False
+    return np.array(self.buffered_token_output[request_id][0]), self.buffered_token_output[request_id][1]
 
-  @abstractmethod
-  async def collect_topology(self, visited: set[str] = set(), max_depth: int = 2) -> Topology:
-    pass
+  async def collect_topology(self, visited: set[str], max_depth: int = 4) -> Topology:
+    next_topology = Topology()
+    next_topology.update_node(self.id, self.device_capabilities)
 
-  @property
-  @abstractmethod
-  def current_topology(self) -> Topology:
-    pass
+    if DEBUG >= 2: print(f"Collecting topology {max_depth=} {visited=}")
+
+    prev_visited = visited.copy()
+    visited.add(self.id)
+    visited.update(p.id() for p in self.peers)
+
+    for peer in self.peers:
+      next_topology.update_node(peer.id(), peer.device_capabilities())
+      next_topology.add_edge(self.id, peer.id(), peer.description())
+
+      if peer.id() in prev_visited:
+        continue
+
+      if max_depth <= 0:
+        if DEBUG >= 2: print("Max depth reached. Skipping...")
+        continue
+
+      try:
+        other_topology = await asyncio.wait_for(peer.collect_topology(visited, max_depth=max_depth - 1), timeout=5.0)
+        if DEBUG >= 2: print(f"Collected topology from: {peer.id()}: {other_topology}")
+        next_topology.merge(peer.id(), other_topology)
+      except Exception as e:
+        print(f"Error collecting topology from {peer.id()}: {e}")
+        traceback.print_exc()
+
+    next_topology.active_node_id = self.topology.active_node_id
+    self.topology = next_topology
+    if self.topology_viz:
+      self.topology_viz.update_visualization(self.topology, self.partitioning_strategy.partition(self.topology), self.id)
+    return self.topology
 
   @property
-  @abstractmethod
   def on_token(self) -> AsyncCallbackSystem[str, Tuple[str, List[int], bool]]:
-    pass
+    return self._on_token
 
   @property
-  @abstractmethod
   def on_opaque_status(self) -> AsyncCallbackSystem[str, Tuple[str, str]]:
-    pass
+    return self._on_opaque_status
+
+  def trigger_on_token_callbacks(self, request_id: str, tokens: List[int], is_finished: bool) -> None:
+    if DEBUG >= 2: print(f"Triggering all on_token callbacks with {request_id=} num_tokens={len(tokens)} {is_finished=}")
+    self.on_token.trigger_all(request_id, tokens, is_finished)
+  
+  async def broadcast_result(self, request_id: str, result: List[int], is_finished: bool) -> None:
+    async def send_result_to_peer(peer):
+      try:
+        await asyncio.wait_for(peer.send_result(request_id, result, is_finished), timeout=15.0)
+      except asyncio.TimeoutError:
+        print(f"Timeout broadcasting result to {peer.id()}")
+      except Exception as e:
+        print(f"Error broadcasting result to {peer.id()}: {e}")
+        traceback.print_exc()
+
+    await asyncio.gather(*[send_result_to_peer(peer) for peer in self.peers], return_exceptions=True)
+
+  async def broadcast_opaque_status(self, request_id: str, status: str) -> None:
+    if DEBUG >= 8: print(f"Broadcasting opaque status: {request_id=} {status=}")
+
+    async def send_status_to_peer(peer):
+      try:
+        await asyncio.wait_for(peer.send_opaque_status(request_id, status), timeout=15.0)
+      except asyncio.TimeoutError:
+        print(f"Timeout sending opaque status to {peer.id()}")
+      except Exception as e:
+        print(f"Error sending opaque status to {peer.id()}: {e}")
+        traceback.print_exc()
+
+    await asyncio.gather(*[send_status_to_peer(peer) for peer in self.peers], return_exceptions=True)
+    # in the case of opaque status, we also want to receive our own opaque statuses
+    self.on_opaque_status.trigger_all(request_id, status)
+
+  @property
+  def current_topology(self) -> Topology:
+    return self.topology
+
+  def handle_stable_diffusion(self, inference_state, result):
+    if inference_state['is_step_finished']:
+      inference_state['step']+=1
+    progress = [inference_state['step'],inference_state['total_steps']]
+    intermediate_result = result
+    if progress[0] == progress[1]:
+      intermediate_result = result
+    return intermediate_result, inference_state

exo/orchestration/standard_node.py

@@ -1,488 +0,0 @@
-import numpy as np
-import json
-import asyncio
-import uuid
-import time
-import traceback
-from typing import List, Dict, Optional, Tuple, Union, Set
-from exo.networking import Discovery, PeerHandle, Server
-from exo.inference.inference_engine import InferenceEngine, Shard
-from .node import Node
-from exo.topology.topology import Topology
-from exo.topology.device_capabilities import device_capabilities
-from exo.topology.partitioning_strategy import Partition, PartitioningStrategy, map_partitions_to_shards
-from exo import DEBUG
-from exo.helpers import AsyncCallbackSystem
-from exo.viz.topology_viz import TopologyViz
-from exo.download.hf.hf_helpers import RepoProgressEvent
-from exo.inference.inference_engine import get_inference_engine, InferenceEngine
-from exo.download.hf.hf_shard_download import HFShardDownloader
-
-class StandardNode(Node):
-  def __init__(
-    self,
-    _id: str,
-    server: Server,
-    inference_engine: InferenceEngine,
-    discovery: Discovery,
-    partitioning_strategy: PartitioningStrategy = None,
-    max_generate_tokens: int = 1024,
-    default_sample_temperature: float = 0.0,
-    topology_viz: Optional[TopologyViz] = None,
-    shard_downloader: Optional[HFShardDownloader] = None,
-  ):
-    self.id = _id
-    self.inference_engine = inference_engine
-    self.server = server
-    self.discovery = discovery
-    self.partitioning_strategy = partitioning_strategy
-    self.peers: List[PeerHandle] = {}
-    self.topology: Topology = Topology()
-    self.device_capabilities = device_capabilities()
-    self.buffered_token_output: Dict[str, Tuple[List[int], bool]] = {}
-    self.buffered_logits: Dict[str, List[np.ndarray]] = {}
-    self.buffered_inputs: Dict[str, List[np.ndarray]] = {}
-    self.max_generate_tokens = max_generate_tokens
-    self.topology_viz = topology_viz
-    self.default_sample_temperature = default_sample_temperature
-    self._on_token = AsyncCallbackSystem[str, Tuple[str, List[int], bool]]()
-    self._on_opaque_status = AsyncCallbackSystem[str, Tuple[str, str]]()
-    self._on_opaque_status.register("node_status").on_next(self.on_node_status)
-    self.node_download_progress: Dict[str, RepoProgressEvent] = {}
-    self.topology_inference_engines_pool: List[List[str]] = []
-    self.shard_downloader = shard_downloader
-
-  async def start(self, wait_for_peers: int = 0) -> None:
-    await self.server.start()
-    await self.discovery.start()
-    await self.update_peers(wait_for_peers)
-    await self.collect_topology()
-    if DEBUG >= 2: print(f"Collected topology: {self.topology}")
-    asyncio.create_task(self.periodic_topology_collection(1.0))
-
-  async def stop(self) -> None:
-    await self.discovery.stop()
-    await self.server.stop()
-
-  def on_node_status(self, request_id, opaque_status):
-    try:
-      status_data = json.loads(opaque_status)
-      if status_data.get("type", "") == "supported_inference_engines":
-        node_id = status_data.get("node_id")
-        engines = status_data.get("engines", [])
-        self.topology_inference_engines_pool.append(engines)
-      if status_data.get("type", "") == "node_status":
-        if status_data.get("status", "").startswith("start_"):
-          self.current_topology.active_node_id = status_data.get("node_id")
-        elif status_data.get("status", "").startswith("end_"):
-          if status_data.get("node_id") == self.current_topology.active_node_id:
-            self.current_topology.active_node_id = None
-      download_progress = None
-      if status_data.get("type", "") == "download_progress":
-        if DEBUG >= 8: print(f"Download progress from {status_data.get('node_id')}: {status_data.get('progress')}")
-        download_progress = RepoProgressEvent.from_dict(status_data.get('progress'))
-        self.node_download_progress[status_data.get('node_id')] = download_progress
-      if self.topology_viz:
-        self.topology_viz.update_visualization(self.current_topology, self.partitioning_strategy.partition(self.current_topology), self.id, self.node_download_progress)
-    except Exception as e:
-      if DEBUG >= 1: print(f"Error updating visualization: {e}")
-      if DEBUG >= 1: traceback.print_exc()
-
-  def get_supported_inference_engines(self):
-    supported_engine_names = []
-    if self.inference_engine.__class__.__name__ == 'MLXDynamicShardInferenceEngine':
-      supported_engine_names.append('mlx')
-      supported_engine_names.append('tinygrad')
-    else:
-      supported_engine_names.append('tinygrad')
-    return supported_engine_names
-
-  async def broadcast_supported_engines(self, supported_engines_names: List[str]):
-    status_message = json.dumps({"type": "supported_inference_engines", "node_id": self.id, "engines": supported_engines_names})
-    await self.broadcast_opaque_status("", status_message)
-
-  def get_topology_inference_engines(self) -> List[List[str]]:
-    return self.topology_inference_engines_pool
-  
-  async def process_inference_result(
-    self,
-    shard,
-    result: np.ndarray,
-    request_id: Optional[str] = None,
-    inference_state: Optional[dict] = None,
-  ):
-    if shard.model_id != 'stable-diffusion-2-1-base':
-      if request_id not in self.buffered_token_output:
-        self.buffered_token_output[request_id] = ([], False)
-      is_finished = len(self.buffered_token_output[request_id][0]) >= self.max_generate_tokens
-      if shard.is_last_layer() and not is_finished:
-        token = await self.inference_engine.sample(result, temp = self.default_sample_temperature)
-        self.buffered_token_output[request_id][0].append(token.item())
-        intermediate_result = self.buffered_token_output[request_id][0]
-        if DEBUG >= 2: print(f"[{request_id}] result size: {result.size}, is finished: {is_finished}, buffered tokens: {len(self.buffered_token_output[request_id][0])}")
-        is_finished = token.item() == self.inference_engine.tokenizer.eos_token_id
-        forward = token.reshape(1, -1)
-      else:
-        forward = result
-    else:
-      await self.inference_engine.ensure_shard(shard)
-      is_finished = inference_state.get('is_finished', False)
-      intermediate_result, inference_state = self.handle_stable_diffusion(inference_state, result)
-      forward = result
-    if shard.is_last_layer():
-      asyncio.create_task(self.broadcast_result(request_id, intermediate_result, is_finished))
-      self.trigger_on_token_callbacks(request_id, intermediate_result, is_finished)
-    if is_finished:
-      if shard.model_id != 'stable-diffusion-2-1-base':
-          self.buffered_token_output[request_id] = (self.buffered_token_output[request_id][0], True)
-          intermediate_result = self.buffered_token_output[request_id][0]
-    else:
-      asyncio.create_task(self.forward_tensor(shard, forward, request_id, self.get_partition_index(offset = 1), inference_state))
-
-    return np.array(intermediate_result)
-  
-  async def process_prompt(
-    self,
-    base_shard: Shard,
-    prompt: str,
-    request_id: Optional[str] = None,
-    inference_state: Optional[dict] = {},
-  ) -> Optional[np.ndarray]:
-    shard = self.get_current_shard(base_shard)
-    asyncio.create_task(
-      self.broadcast_opaque_status(
-        request_id,
-        json.dumps({
-          "type": "node_status",
-          "node_id": self.id,
-          "status": "start_process_prompt",
-          "base_shard": base_shard.to_dict(),
-          "shard": shard.to_dict(),
-          "prompt": prompt,
-          "request_id": request_id,
-        }),
-      )
-    )
-    start_time = time.perf_counter_ns()
-    resp = await self._process_prompt(base_shard, prompt, request_id, inference_state)
-    end_time = time.perf_counter_ns()
-    elapsed_time_ns = end_time - start_time
-    asyncio.create_task(
-      self.broadcast_opaque_status(
-        request_id,
-        json.dumps({
-          "type": "node_status",
-          "node_id": self.id,
-          "status": "end_process_prompt",
-          "base_shard": base_shard.to_dict(),
-          "shard": shard.to_dict(),
-          "prompt": prompt,
-          "request_id": request_id,
-          "elapsed_time_ns": elapsed_time_ns,
-          "result_size": resp.size if resp is not None else 0,
-        }),
-      )
-    )
-    return resp
-
-  async def _process_prompt(self, base_shard: Shard, prompt: str, request_id: Optional[str] = None, inference_state: Optional[dict] = None) -> Optional[np.ndarray]:
-    if request_id is None:
-      request_id = str(uuid.uuid4())
-    shard = self.get_current_shard(base_shard)
-    if DEBUG >= 2: print(f"[{request_id}] process prompt: {base_shard=} {shard=} {prompt=}")
-    if not shard.is_first_layer():
-      if DEBUG >= 2: print(f"[{request_id}] forwarding to next shard: {base_shard=} {shard=} {prompt=}")
-      resp = await self.forward_prompt(shard, prompt, request_id, 0, inference_state)
-      return None
-    else:
-      result,inference_state = await self.inference_engine.infer_prompt(request_id, shard, prompt, inference_state)
-      ret = await self.process_inference_result(shard, result, request_id, inference_state) 
-      return result
-
-  async def process_tensor(
-    self,
-    base_shard: Shard,
-    tensor: np.ndarray,
-    request_id: Optional[str] = None,
-    inference_state: Optional[dict] = None,
-  ) -> Optional[np.ndarray]:
-    shard = self.get_current_shard(base_shard)
-    asyncio.create_task(
-      self.broadcast_opaque_status(
-        request_id,
-        json.dumps({
-          "type": "node_status",
-          "node_id": self.id,
-          "status": "start_process_tensor",
-          "base_shard": base_shard.to_dict(),
-          "shard": shard.to_dict(),
-          "tensor_size": tensor.size,
-          "tensor_shape": tensor.shape,
-          "request_id": request_id,
-        }),
-      )
-    )
-    start_time = time.perf_counter_ns()
-    resp = await self._process_tensor(shard, tensor, request_id, inference_state)
-    end_time = time.perf_counter_ns()
-    elapsed_time_ns = end_time - start_time
-    asyncio.create_task(
-      self.broadcast_opaque_status(
-        request_id,
-        json.dumps({
-          "type": "node_status",
-          "node_id": self.id,
-          "status": "end_process_tensor",
-          "base_shard": base_shard.to_dict(),
-          "shard": shard.to_dict(),
-          "request_id": request_id,
-          "elapsed_time_ns": elapsed_time_ns,
-          "result_size": resp.size if resp is not None else 0,
-        }),
-      )
-    )
-    return resp
-
-  async def _process_tensor(
-    self,
-    base_shard: Shard,
-    tensor: np.ndarray,
-    request_id: Optional[str] = None,
-    inference_state: Optional[dict] = None,
-  ) -> Optional[np.ndarray]:
-    if request_id is None:
-      request_id = str(uuid.uuid4())
-    shard = self.get_current_shard(base_shard)
-
-    if DEBUG >= 1: print(f"[{request_id}] process_tensor: {tensor.size=} {tensor.shape=}")
-    try:
-      result, inference_state = await self.inference_engine.infer_tensor(request_id, shard, tensor, inference_state)
-      ret = await self.process_inference_result(shard, result, request_id, inference_state) 
-      return ret
-    except Exception as e:
-      print(f"Error processing tensor for shard {shard}: {e}")
-      traceback.print_exc()
-      return None
-
-  async def forward_prompt(
-    self,
-    base_shard: Shard,
-    prompt: str,
-    request_id: str,
-    target_index: int,
-    inference_state: Optional[dict] = None,
-  ) -> None:
-    if DEBUG >= 1: print(f"target partition index: {target_index}")
-    target_id = self.partitioning_strategy.partition(self.topology)[target_index].node_id
-    next_shard = self.get_current_shard(base_shard, target_index)
-    if DEBUG >= 2: print(f"Computed target from: {base_shard} {target_index}, {self.topology}. next shard: {next_shard}")
-    if target_id == self.id:
-      await self.process_prompt(next_shard, prompt, request_id)
-    else:
-      target_peer = next((p for p in self.peers if p.id() == target_id), None)
-      if not target_peer:
-        raise ValueError(f"Peer for {target_index} not found")
-      if DEBUG >= 1: print(f"Sending prompt to {target_peer.id()}: {prompt}")
-      await target_peer.send_prompt(next_shard, prompt, request_id=request_id, inference_state=inference_state)
-  
-  async def forward_tensor(
-    self,
-    base_shard: Shard,
-    tensor: np.ndarray,
-    request_id: str,
-    target_index: int,
-    inference_state: Optional[dict] = None,
-  ) -> None:
-    if DEBUG >= 1: print(f"target partition index: {target_index}")
-    target_id = self.partitioning_strategy.partition(self.topology)[target_index].node_id
-    next_shard = self.get_current_shard(base_shard, target_index)
-    if DEBUG >= 2: print(f"Computed target from: {base_shard} {target_index}, {self.topology}. target shard: {next_shard}")
-    if target_id == self.id:
-      await self.process_tensor(next_shard, tensor, request_id, inference_state)
-    else:
-      target_peer = next((p for p in self.peers if p.id() == target_id), None)
-      if not target_peer:
-        raise ValueError(f"Peer for {target_index} not found")
-      if DEBUG >= 1: print(f"Sending tensor to {target_peer.id()}: {tensor}")
-      await target_peer.send_tensor(next_shard, tensor, request_id=request_id, inference_state=inference_state)
-
-  def get_partition_index(self, offset: int = 0):
-    if not self.partitioning_strategy:
-      if DEBUG >= 1: print("No partitioning strategy found. Skipping forward.")
-      return None
-    partitions = self.partitioning_strategy.partition(self.topology)
-    current_partition_index = next((i for i, p in enumerate(partitions) if p.node_id == self.id), None)
-    if current_partition_index is None:
-      raise ValueError(f"No current partition found for node: {self.id}")
-    return (current_partition_index + offset) % len(partitions)
-
-  def get_current_shard(self, base_shard: Shard, index: Optional[int] = None) -> Shard:
-    if index is None:
-      index = self.get_partition_index()
-    partitions = self.partitioning_strategy.partition(self.topology)
-    shards = map_partitions_to_shards(partitions, base_shard.n_layers, base_shard.model_id)
-    return shards[index]
-
-  async def update_peers(self, wait_for_peers: int = 0) -> bool:
-    next_peers = await self.discovery.discover_peers(wait_for_peers)
-    current_peer_ids = {peer.id() for peer in self.peers}
-    next_peer_ids = {peer.id() for peer in next_peers}
-    peers_added = [peer for peer in next_peers if peer.id() not in current_peer_ids]
-    peers_removed = [peer for peer in self.peers if peer.id() not in next_peer_ids]
-    peers_updated = [peer for peer in next_peers if peer.id() in current_peer_ids and any(p.addr() != peer.addr() for p in self.peers if p.id() == peer.id())]
-    peers_unchanged = [peer for peer in next_peers if peer.id() in current_peer_ids and all(p.addr() == peer.addr() for p in self.peers if p.id() == peer.id())]
-    peers_to_disconnect = [peer for peer in peers_removed if await peer.is_connected()]
-    peers_to_connect = [peer for peer in peers_added + peers_updated + peers_unchanged if not await peer.is_connected()]
-
-    def _pretty(peers: List[PeerHandle]) -> List[str]:
-      return [f"{peer.id()}@{peer.addr()}" for peer in peers]
-
-    if DEBUG >= 2:
-      print(f"update_peers: added={peers_added} removed={peers_removed} updated={peers_updated} unchanged={peers_unchanged} to_disconnect={peers_to_disconnect} to_connect={peers_to_connect}")
-
-    async def disconnect_with_timeout(peer, timeout=5):
-      try:
-        await asyncio.wait_for(peer.disconnect(), timeout)
-        return True
-      except Exception as e:
-        print(f"Error disconnecting peer {peer.id()}@{peer.addr()}: {e}")
-        traceback.print_exc()
-        return False
-
-    async def connect_with_timeout(peer, timeout=5):
-      try:
-        await asyncio.wait_for(peer.connect(), timeout)
-        return True
-      except Exception as e:
-        print(f"Error connecting peer {peer.id()}@{peer.addr()}: {e}")
-        traceback.print_exc()
-        return False
-
-    disconnect_results = await asyncio.gather(*(disconnect_with_timeout(peer) for peer in peers_to_disconnect), return_exceptions=True)
-    connect_results = await asyncio.gather(*(connect_with_timeout(peer) for peer in peers_to_connect), return_exceptions=True)
-
-    successful_disconnects = [peer for peer, result in zip(peers_to_disconnect, disconnect_results) if result is True]
-    failed_disconnects = [peer for peer, result in zip(peers_to_disconnect, disconnect_results) if result is False]
-    successful_connects = [peer for peer, result in zip(peers_to_connect, connect_results) if result is True]
-    failed_connects = [peer for peer, result in zip(peers_to_connect, connect_results) if result is False]
-    if DEBUG >= 1:
-      if successful_disconnects: print(f"Successfully disconnected peers: {_pretty(successful_disconnects)}")
-      if failed_disconnects: print(f"Failed to disconnect peers: {_pretty(failed_disconnects)}")
-      if successful_connects: print(f"Successfully connected peers: {_pretty(successful_connects)}")
-      if failed_connects: print(f"Failed to connect peers: {_pretty(failed_connects)}")
-
-    self.peers = next_peers
-    return len(peers_added) > 0 or len(peers_removed) > 0 or len(peers_updated) > 0
-
-  async def select_best_inference_engine(self):
-    if self.inference_engine.__class__.__name__ == 'DummyInferenceEngine': return
-    supported_engines = self.get_supported_inference_engines()
-    await self.broadcast_supported_engines(supported_engines)
-    if len(self.get_topology_inference_engines()):
-      self.inference_engine = get_inference_engine(supported_engines[0], self.shard_downloader)
-
-  async def periodic_topology_collection(self, interval: int):
-    while True:
-      await asyncio.sleep(interval)
-      try:
-        did_peers_change = await self.update_peers()
-        if DEBUG >= 2: print(f"{did_peers_change=}")
-        if did_peers_change:
-          await self.collect_topology()
-          await self.select_best_inference_engine()
-      except Exception as e:
-        print(f"Error collecting topology: {e}")
-        traceback.print_exc()
-
-  async def get_inference_result(self, request_id: str) -> Tuple[Optional[np.ndarray], bool]:
-    if request_id not in self.buffered_token_output:
-      return None, False
-    return np.array(self.buffered_token_output[request_id][0]), self.buffered_token_output[request_id][1]
-
-  async def collect_topology(self, visited: set[str] = set(), max_depth: int = 4) -> Topology:
-    next_topology = Topology()
-    next_topology.update_node(self.id, self.device_capabilities)
-
-    if DEBUG >= 2: print(f"Collecting topology {max_depth=} {visited=}")
-
-    prev_visited = visited.copy()
-    visited.add(self.id)
-    visited.update(p.id() for p in self.peers)
-
-    for peer in self.peers:
-      next_topology.update_node(peer.id(), peer.device_capabilities())
-      next_topology.add_edge(self.id, peer.id())
-
-      if peer.id() in prev_visited:
-        continue
-
-      if max_depth <= 0:
-        if DEBUG >= 2: print("Max depth reached. Skipping...")
-        continue
-
-      try:
-        other_topology = await asyncio.wait_for(peer.collect_topology(visited, max_depth=max_depth - 1), timeout=5.0)
-        if DEBUG >= 2: print(f"Collected topology from: {peer.id()}: {other_topology}")
-        self.topology.merge(other_topology)
-      except Exception as e:
-        print(f"Error collecting topology from {peer.id()}: {e}")
-        traceback.print_exc()
-
-    next_topology.active_node_id = self.topology.active_node_id  # this is not so clean.
-    self.topology = next_topology
-    if self.topology_viz:
-      self.topology_viz.update_visualization(self.current_topology, self.partitioning_strategy.partition(self.current_topology), self.id)
-    return next_topology
-
-  @property
-  def on_token(self) -> AsyncCallbackSystem[str, Tuple[str, List[int], bool]]:
-    return self._on_token
-
-  @property
-  def on_opaque_status(self) -> AsyncCallbackSystem[str, Tuple[str, str]]:
-    return self._on_opaque_status
-
-  def trigger_on_token_callbacks(self, request_id: str, tokens: List[int], is_finished: bool) -> None:
-    if DEBUG >= 2: print(f"Triggering all on_token callbacks with {request_id=} num_tokens={len(tokens)} {is_finished=}")
-    self.on_token.trigger_all(request_id, tokens, is_finished)
-  
-  async def broadcast_result(self, request_id: str, result: List[int], is_finished: bool) -> None:
-    async def send_result_to_peer(peer):
-      try:
-        await asyncio.wait_for(peer.send_result(request_id, result, is_finished), timeout=15.0)
-      except asyncio.TimeoutError:
-        print(f"Timeout broadcasting result to {peer.id()}")
-      except Exception as e:
-        print(f"Error broadcasting result to {peer.id()}: {e}")
-        traceback.print_exc()
-
-    await asyncio.gather(*[send_result_to_peer(peer) for peer in self.peers], return_exceptions=True)
-
-  async def broadcast_opaque_status(self, request_id: str, status: str) -> None:
-    if DEBUG >= 8: print(f"Broadcasting opaque status: {request_id=} {status=}")
-
-    async def send_status_to_peer(peer):
-      try:
-        await asyncio.wait_for(peer.send_opaque_status(request_id, status), timeout=15.0)
-      except asyncio.TimeoutError:
-        print(f"Timeout sending opaque status to {peer.id()}")
-      except Exception as e:
-        print(f"Error sending opaque status to {peer.id()}: {e}")
-        traceback.print_exc()
-
-    await asyncio.gather(*[send_status_to_peer(peer) for peer in self.peers], return_exceptions=True)
-    # in the case of opaque status, we also want to receive our own opaque statuses
-    self.on_opaque_status.trigger_all(request_id, status)
-
-  @property
-  def current_topology(self) -> Topology:
-    return self.topology
-
-  def handle_stable_diffusion(self, inference_state, result):
-    if inference_state['is_step_finished']:
-      inference_state['step']+=1
-    progress = [inference_state['step'],inference_state['total_steps']]
-    intermediate_result = result
-    if progress[0] == progress[1]:
-      intermediate_result = result
-    return intermediate_result, inference_state

exo/orchestration/test_node.py

@@ -2,7 +2,7 @@ import unittest
 from unittest.mock import Mock, AsyncMock
 import numpy as np
 
-from .standard_node import StandardNode
+from .node import Node
 from exo.networking.peer_handle import PeerHandle
 
 
@@ -21,7 +21,7 @@ class TestNode(unittest.IsolatedAsyncioTestCase):
     mock_peer2.id.return_value = "peer2"
     self.mock_discovery.discover_peers = AsyncMock(return_value=[mock_peer1, mock_peer2])
 
-    self.node = StandardNode("test_node", self.mock_server, self.mock_inference_engine, "localhost", 50051, self.mock_discovery)
+    self.node = Node("test_node", self.mock_server, self.mock_inference_engine, "localhost", 50051, self.mock_discovery)
 
   async def asyncSetUp(self):
     await self.node.start()

exo/tinychat/index.css

@@ -21,8 +21,8 @@ main {
 .home {
   width: 100%;
   height: 90%;
-
   margin-bottom: 10rem;
+  padding-top: 2rem;
 }
 
 .title {
@@ -129,8 +129,9 @@ main {
   flex-direction: column;
   gap: 1rem;
   align-items: center;
-  padding-top: 1rem;
+  padding-top: 4rem;
   padding-bottom: 11rem;
+  margin: 0 auto;
 }
 
 .message {
@@ -149,10 +150,17 @@ main {
   color: #000;
 }
 .download-progress {
-  margin-bottom: 12em;
+  position: fixed;
+  bottom: 11rem;
+  left: 50%;
+  transform: translateX(-50%);
+  margin-left: 125px;
+  width: 100%;
+  max-width: 1200px;
   overflow-y: auto;
   min-height: 350px;
   padding: 2rem;
+  z-index: 998;
 }
 .message > pre {
   white-space: pre-wrap;
@@ -271,23 +279,24 @@ main {
 }
 
 .input-container {
-  position: absolute;
+  position: fixed;
   bottom: 0;
-
-  /* linear gradient from background-color to transparent on the top */
-  background: linear-gradient(
-    0deg,
-    var(--primary-bg-color) 55%,
-    transparent 100%
-  );
-
-  width: 100%;
+  left: 250px;
+  width: calc(100% - 250px);
   max-width: 1200px;
   display: flex;
   flex-direction: column;
   justify-content: center;
   align-items: center;
   z-index: 999;
+  background: linear-gradient(
+    0deg,
+    var(--primary-bg-color) 55%,
+    transparent 100%
+  );
+  left: 50%;
+  transform: translateX(-50%);
+  margin-left: 125px;
 }
 
 .input-performance {
@@ -372,22 +381,7 @@ p {
 }
 
 .model-selector {
-  display: flex;
-  justify-content: center;
-  padding: 20px 0;
-}
-.model-selector select {
-  padding: 10px 20px;
-  font-size: 16px;
-  border: 1px solid #ccc;
-  border-radius: 5px;
-  background-color: #f8f8f8;
-  cursor: pointer;
-}
-.model-selector select:focus {
-  outline: none;
-  border-color: #007bff;
-  box-shadow: 0 0 0 2px rgba(0,123,255,.25);
+  display: none;
 }
 
 /* Image upload button styles */
@@ -481,4 +475,183 @@ p {
 
 .clear-history-button i {
   font-size: 14px;
+}
+
+/* Add new sidebar styles */
+.sidebar {
+  position: fixed;
+  left: 0;
+  top: 0;
+  bottom: 0;
+  width: 250px;
+  background-color: var(--secondary-color);
+  padding: 20px;
+  overflow-y: auto;
+  z-index: 1000;
+}
+
+.model-option {
+  padding: 12px;
+  margin: 8px 0;
+  border-radius: 8px;
+  background-color: var(--primary-bg-color);
+  cursor: pointer;
+  transition: all 0.2s ease;
+}
+
+.model-option:hover {
+  transform: translateX(5px);
+}
+
+.model-option.selected {
+  border-left: 3px solid var(--primary-color);
+  background-color: var(--secondary-color-transparent);
+}
+
+.model-name {
+  font-weight: bold;
+  margin-bottom: 4px;
+}
+
+.model-progress {
+  font-size: 0.9em;
+  color: var(--secondary-color-transparent);
+  display: flex;
+  flex-direction: column;
+  gap: 0.5rem;
+}
+
+.model-progress-info {
+  display: flex;
+  flex-direction: column;
+  gap: 0.5rem;
+}
+
+.model-progress i {
+  font-size: 0.9em;
+  color: var(--primary-color);
+}
+
+/* Adjust main content to accommodate sidebar */
+main {
+  margin-left: 250px;
+  width: calc(100% - 250px);
+}
+
+/* Add styles for the back button */
+.back-button {
+  position: fixed;
+  top: 1rem;
+  left: calc(250px + 1rem); /* Sidebar width + padding */
+  background-color: var(--secondary-color);
+  color: var(--foreground-color);
+  padding: 0.5rem 1rem;
+  border-radius: 8px;
+  border: none;
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  gap: 0.5rem;
+  z-index: 1000;
+  transition: all 0.2s ease;
+}
+
+.back-button:hover {
+  transform: translateX(-5px);
+  background-color: var(--secondary-color-transparent);
+}
+
+.model-info {
+  display: flex;
+  flex-direction: column;
+  gap: 4px;
+}
+
+.model-size {
+  font-size: 0.8em;
+  color: var(--secondary-color-transparent);
+  opacity: 0.8;
+}
+
+.model-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 4px;
+}
+
+.model-delete-button {
+    background: none;
+    border: none;
+    color: var(--red-color);
+    padding: 4px 8px;
+    cursor: pointer;
+    transition: all 0.2s ease;
+    opacity: 0.7;
+}
+
+.model-delete-button:hover {
+    opacity: 1;
+    transform: scale(1.1);
+}
+
+.model-option:hover .model-delete-button {
+    opacity: 1;
+}
+
+.loading-container {
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+    gap: 10px;
+    padding: 20px;
+    color: var(--secondary-color-transparent);
+}
+
+.loading-container i {
+    font-size: 24px;
+}
+
+.loading-container span {
+    font-size: 14px;
+}
+
+/* Add this to your CSS */
+.fa-spin {
+    animation: fa-spin 2s infinite linear;
+}
+
+@keyframes fa-spin {
+    0% {
+        transform: rotate(0deg);
+    }
+    100% {
+        transform: rotate(360deg);
+    }
+}
+
+.model-download-button {
+  background: none;
+  border: none;
+  color: var(--primary-color);
+  padding: 4px 8px;
+  border-radius: 4px;
+  cursor: pointer;
+  transition: all 0.2s ease;
+  display: inline-flex;
+  align-items: center;
+  gap: 6px;
+  background-color: var(--primary-bg-color);
+  font-size: 0.9em;
+  width: fit-content;
+  align-self: flex-start;
+}
+
+.model-download-button:hover {
+  transform: scale(1.05);
+  background-color: var(--secondary-color-transparent);
+}
+
+.model-download-button i {
+  font-size: 0.9em;
 }

exo/tinychat/index.html

@@ -25,14 +25,73 @@
 </head>
 <body>
 <main x-data="state" x-init="console.log(endpoint)">
-     <!-- Error Toast -->
-    <div x-show="errorMessage" x-transition.opacity class="toast">
+  <div class="sidebar">
+    <h2 class="megrim-regular" style="margin-bottom: 20px;">Models</h2>
+    
+    <!-- Loading indicator -->
+    <div class="loading-container" x-show="Object.keys(models).length === 0">
+        <i class="fas fa-spinner fa-spin"></i>
+        <span>Loading models...</span>
+    </div>
+    
+    <template x-for="(model, key) in models" :key="key">
+        <div class="model-option" 
+             :class="{ 'selected': cstate.selectedModel === key }"
+             @click="cstate.selectedModel = key">
+            <div class="model-header">
+                <div class="model-name" x-text="model.name"></div>
+                <button 
+                    @click.stop="deleteModel(key, model)"
+                    class="model-delete-button"
+                    x-show="model.download_percentage > 0">
+                    <i class="fas fa-trash"></i>
+                </button>
+            </div>
+            <div class="model-info">
+                <div class="model-progress">
+                    <template x-if="model.loading">
+                        <span><i class="fas fa-spinner fa-spin"></i> Checking download status...</span>
+                    </template>
+                    <div class="model-progress-info">
+                        <template x-if="!model.loading && model.download_percentage != null">
+                            <span>
+                                <!-- Check if there's an active download for this model -->
+                                <template x-if="downloadProgress?.some(p => 
+                                    p.repo_id && p.repo_id.toLowerCase().includes(key.toLowerCase()) && !p.isComplete
+                                )">
+                                    <i class="fas fa-circle-notch fa-spin"></i>
+                                </template>
+                                <span x-text="model.downloaded ? 'Downloaded' : `${Math.round(model.download_percentage)}% downloaded`"></span>
+                            </span>
+                        </template>
+                        <template x-if="!model.loading && (model.download_percentage === null || model.download_percentage < 100) && !downloadProgress?.some(p => !p.isComplete)">
+                            <button 
+                                @click.stop="handleDownload(key)"
+                                class="model-download-button">
+                                <i class="fas fa-download"></i>
+                                <span x-text="(model.download_percentage > 0 && model.download_percentage < 100) ? 'Continue Downloading' : 'Download'"></span>
+                            </button>
+                        </template>
+                    </div>
+                </div>
+                <template x-if="model.total_size">
+                    <div class="model-size" x-text="model.total_downloaded ? 
+                        `${formatBytes(model.total_downloaded)} / ${formatBytes(model.total_size)}` : 
+                        formatBytes(model.total_size)">
+                    </div>
+                </template>
+            </div>
+        </div>
+    </template>
+  </div> 
+    <!-- Error Toast -->
+    <div x-show="errorMessage !== null" x-transition.opacity class="toast">
         <div class="toast-header">
-            <span class="toast-error-message" x-text="errorMessage.basic"></span>
+            <span class="toast-error-message" x-text="errorMessage?.basic || ''"></span>
             <div class="toast-header-buttons">
                 <button @click="errorExpanded = !errorExpanded; if (errorTimeout) { clearTimeout(errorTimeout); errorTimeout = null; }" 
                         class="toast-expand-button" 
-                        x-show="errorMessage.stack">
+                        x-show="errorMessage?.stack">
                     <span x-text="errorExpanded ? 'Hide Details' : 'Show Details'"></span>
                 </button>
                 <button @click="errorMessage = null; errorExpanded = false;" class="toast-close-button">
@@ -41,13 +100,10 @@
             </div>
         </div>
         <div class="toast-content" x-show="errorExpanded" x-transition>
-            <span x-text="errorMessage.stack"></span>
+            <span x-text="errorMessage?.stack || ''"></span>
         </div>
     </div>
-<div class="model-selector">
-  <select @change="if (cstate) cstate.selectedModel = $event.target.value" x-model="cstate.selectedModel" x-init="await populateSelector()" class='model-select'>
-  </select>
-</div>
+
 <div @popstate.window="
       if (home === 2) {
         home = -1;
@@ -79,10 +135,8 @@
 <template x-for="_state in histories.toSorted((a, b) =&gt; b.time - a.time)">
 <div @click="
             cstate = _state;
-            if (cstate) cstate.selectedModel = document.querySelector('.model-selector select').value
-            // updateTotalTokens(cstate.messages);
-            home = 1;
-            // ensure that going back in history will go back to home
+            if (!cstate.selectedModel) cstate.selectedModel = 'llama-3.2-1b';
+            home = 2;
             window.history.pushState({}, '', '/');
           " @touchend="
             if (Math.abs($event.changedTouches[0].clientX - otx) &gt; trigger) removeHistory(_state);
@@ -108,6 +162,19 @@
 </template>
 </div>
 </div>
+<button 
+    @click="
+        home = 0;
+        cstate = { time: null, messages: [], selectedModel: cstate.selectedModel };
+        time_till_first = 0;
+        tokens_per_second = 0;
+        total_tokens = 0;
+    " 
+    class="back-button"
+    x-show="home === 2">
+    <i class="fas fa-arrow-left"></i>
+    Back to Chats
+</button>
 <div class="messages" x-init="
       $watch('cstate', value =&gt; {
         $el.innerHTML = '';
@@ -227,27 +294,46 @@
 <i class="fas fa-times"></i>
 </button>
 </div>
-<textarea :disabled="generating" :placeholder="generating ? 'Generating...' : 'Say something'" @input="
-            home = (home === 0) ? 1 : home
-            if (cstate.messages.length === 0 &amp;&amp; $el.value === '') home = -1;
+<textarea 
+    :disabled="generating || (downloadProgress?.length > 0 && downloadProgress.some(p => !p.isComplete))" 
+    :placeholder="
+        generating ? 'Generating...' : 
+        (downloadProgress?.length > 0 && downloadProgress.some(p => !p.isComplete)) ? 'Download in progress...' :
+        'Say something'
+    "
+    @input="
+        home = (home === 0) ? 1 : home
+        if (cstate.messages.length === 0 && $el.value === '') home = -1;
 
-            if ($el.value !== '') {
-              const messages = [...cstate.messages];
-              messages.push({ role: 'user', content: $el.value });
-              // updateTotalTokens(messages);
-            } else {
-              if (cstate.messages.length === 0) total_tokens = 0;
-              // else updateTotalTokens(cstate.messages);
-            }
-          " @keydown.enter="await handleEnter($event)" @keydown.escape.window="$focus.focus($el)" autofocus="" class="input-form" id="input-form" rows="1" x-autosize="" x-effect="
-            console.log(generating);
-            if (!generating) $nextTick(() =&gt; {
-              $el.focus();
-              setTimeout(() =&gt; $refs.messages.scrollTo({ top: $refs.messages.scrollHeight, behavior: 'smooth' }), 100);
-            });
-          " x-ref="inputForm"></textarea>
-<button :disabled="generating" @click="await handleSend()" class="input-button">
-<i :class="generating ? 'fa-spinner fa-spin' : 'fa-paper-plane'" class="fas"></i>
+        if ($el.value !== '') {
+            const messages = [...cstate.messages];
+            messages.push({ role: 'user', content: $el.value });
+            // updateTotalTokens(messages);
+        } else {
+            if (cstate.messages.length === 0) total_tokens = 0;
+            // else updateTotalTokens(cstate.messages);
+        }
+    "
+    @keydown.enter="await handleEnter($event)"
+    @keydown.escape.window="$focus.focus($el)"
+    autofocus=""
+    class="input-form"
+    id="input-form"
+    rows="1"
+    x-autosize=""
+    x-effect="
+        console.log(generating);
+        if (!generating) $nextTick(() => {
+            $el.focus();
+            setTimeout(() => $refs.messages.scrollTo({ top: $refs.messages.scrollHeight, behavior: 'smooth' }), 100);
+        });
+    "
+    x-ref="inputForm"></textarea>
+<button 
+    :disabled="generating || (downloadProgress?.length > 0 && downloadProgress.some(p => !p.isComplete))" 
+    @click="await handleSend()" 
+    class="input-button">
+    <i :class="generating ? 'fa-spinner fa-spin' : 'fa-paper-plane'" class="fas"></i>
 </button>
 </div>
 </div>

exo/tinychat/index.js

@@ -13,6 +13,8 @@ document.addEventListener("alpine:init", () => {
     home: 0,
     generating: false,
     endpoint: `${window.location.origin}/v1`,
+    
+    // Initialize error message structure
     errorMessage: null,
     errorExpanded: false,
     errorTimeout: null,
@@ -32,12 +34,81 @@ document.addEventListener("alpine:init", () => {
     // Pending message storage
     pendingMessage: null,
 
+    modelPoolInterval: null,
+
+    // Add models state alongside existing state
+    models: {},
+
     init() {
       // Clean up any pending messages
       localStorage.removeItem("pendingMessage");
 
+      // Get initial model list
+      this.fetchInitialModels();
+
       // Start polling for download progress
       this.startDownloadProgressPolling();
+      
+      // Start model polling with the new pattern
+      this.startModelPolling();
+    },
+
+    async fetchInitialModels() {
+      try {
+        const response = await fetch(`${window.location.origin}/initial_models`);
+        if (response.ok) {
+          const initialModels = await response.json();
+          this.models = initialModels;
+        }
+      } catch (error) {
+        console.error('Error fetching initial models:', error);
+      }
+    },
+
+    async startModelPolling() {
+      while (true) {
+        try {
+          await this.populateSelector();
+          // Wait 5 seconds before next poll
+          await new Promise(resolve => setTimeout(resolve, 5000));
+        } catch (error) {
+          console.error('Model polling error:', error);
+          // If there's an error, wait before retrying
+          await new Promise(resolve => setTimeout(resolve, 5000));
+        }
+      }
+    },
+
+    async populateSelector() {
+      return new Promise((resolve, reject) => {
+        const evtSource = new EventSource(`${window.location.origin}/modelpool`);
+        
+        evtSource.onmessage = (event) => {
+          if (event.data === "[DONE]") {
+            evtSource.close();
+            resolve();
+            return;
+          }
+          
+          const modelData = JSON.parse(event.data);
+          // Update existing model data while preserving other properties
+          Object.entries(modelData).forEach(([modelName, data]) => {
+            if (this.models[modelName]) {
+              this.models[modelName] = {
+                ...this.models[modelName],
+                ...data,
+                loading: false
+              };
+            }
+          });
+        };
+        
+        evtSource.onerror = (error) => {
+          console.error('EventSource failed:', error);
+          evtSource.close();
+          reject(error);
+        };
+      });
     },
 
     removeHistory(cstate) {
@@ -74,56 +145,6 @@ document.addEventListener("alpine:init", () => {
       return `${s}s`;
     },
 
-    async populateSelector() {
-      try {
-        const response = await fetch(`${window.location.origin}/modelpool`);
-        const responseText = await response.text(); // Get raw response text first
-        
-        if (!response.ok) {
-          throw new Error(`HTTP error! status: ${response.status}`);
-        }
-        
-        // Try to parse the response text
-        let responseJson;
-        try {
-          responseJson = JSON.parse(responseText);
-        } catch (parseError) {
-          console.error('Failed to parse JSON:', parseError);
-          throw new Error(`Invalid JSON response: ${responseText}`);
-        }
-
-        const sel = document.querySelector(".model-select");
-        if (!sel) {
-          throw new Error("Could not find model selector element");
-        }
-
-        // Clear the current options and add new ones
-        sel.innerHTML = '';
-          
-        const modelDict = responseJson["model pool"];
-        if (!modelDict) {
-          throw new Error("Response missing 'model pool' property");
-        }
-
-        Object.entries(modelDict).forEach(([key, value]) => {
-          const opt = document.createElement("option");
-          opt.value = key;
-          opt.textContent = value;
-          sel.appendChild(opt);
-        });
-
-        // Set initial value to the first model
-        const firstKey = Object.keys(modelDict)[0];
-        if (firstKey) {
-          sel.value = firstKey;
-          this.cstate.selectedModel = firstKey;
-        }
-      } catch (error) {
-        console.error("Error populating model selector:", error);
-        this.errorMessage = `Failed to load models: ${error.message}`;
-      }
-    },
-
     async handleImageUpload(event) {
       const file = event.target.files[0];
       if (file) {
@@ -169,29 +190,7 @@ document.addEventListener("alpine:init", () => {
         this.processMessage(value);
       } catch (error) {
         console.error('error', error);
-        const errorDetails = {
-            message: error.message || 'Unknown error',
-            stack: error.stack,
-            name: error.name || 'Error'
-        };
-        
-        this.errorMessage = {
-            basic: `${errorDetails.name}: ${errorDetails.message}`,
-            stack: errorDetails.stack
-        };
-
-        // Clear any existing timeout
-        if (this.errorTimeout) {
-            clearTimeout(this.errorTimeout);
-        }
-
-        // Only set the timeout if the error details aren't expanded
-        if (!this.errorExpanded) {
-            this.errorTimeout = setTimeout(() => {
-                this.errorMessage = null;
-                this.errorExpanded = false;
-            }, 30 * 1000);
-        }
+        this.setError(error);
         this.generating = false;
       }
     },
@@ -366,29 +365,7 @@ document.addEventListener("alpine:init", () => {
         }
       } catch (error) {
         console.error('error', error);
-        const errorDetails = {
-            message: error.message || 'Unknown error',
-            stack: error.stack,
-            name: error.name || 'Error'
-        };
-        
-        this.errorMessage = {
-            basic: `${errorDetails.name}: ${errorDetails.message}`,
-            stack: errorDetails.stack
-        };
-
-        // Clear any existing timeout
-        if (this.errorTimeout) {
-            clearTimeout(this.errorTimeout);
-        }
-
-        // Only set the timeout if the error details aren't expanded
-        if (!this.errorExpanded) {
-            this.errorTimeout = setTimeout(() => {
-                this.errorMessage = null;
-                this.errorExpanded = false;
-            }, 30 * 1000);
-        }
+        this.setError(error);
       } finally {
         this.generating = false;
       }
@@ -524,6 +501,106 @@ document.addEventListener("alpine:init", () => {
         this.fetchDownloadProgress();
       }, 1000); // Poll every second
     },
+
+    // Add a helper method to set errors consistently
+    setError(error) {
+      this.errorMessage = {
+        basic: error.message || "An unknown error occurred",
+        stack: error.stack || ""
+      };
+      this.errorExpanded = false;
+      
+      if (this.errorTimeout) {
+        clearTimeout(this.errorTimeout);
+      }
+
+      if (!this.errorExpanded) {
+        this.errorTimeout = setTimeout(() => {
+          this.errorMessage = null;
+          this.errorExpanded = false;
+        }, 30 * 1000);
+      }
+    },
+
+    async deleteModel(modelName, model) {
+      const downloadedSize = model.total_downloaded || 0;
+      const sizeMessage = downloadedSize > 0 ? 
+        `This will free up ${this.formatBytes(downloadedSize)} of space.` :
+        'This will remove any partially downloaded files.';
+      
+      if (!confirm(`Are you sure you want to delete ${model.name}? ${sizeMessage}`)) {
+        return;
+      }
+
+      try {
+        const response = await fetch(`${window.location.origin}/models/${modelName}`, {
+          method: 'DELETE',
+          headers: {
+            'Content-Type': 'application/json'
+          }
+        });
+
+        const data = await response.json();
+        
+        if (!response.ok) {
+          throw new Error(data.detail || 'Failed to delete model');
+        }
+
+        // Update the model status in the UI
+        if (this.models[modelName]) {
+          this.models[modelName].downloaded = false;
+          this.models[modelName].download_percentage = 0;
+          this.models[modelName].total_downloaded = 0;
+        }
+
+        // If this was the selected model, switch to a different one
+        if (this.cstate.selectedModel === modelName) {
+          const availableModel = Object.keys(this.models).find(key => this.models[key].downloaded);
+          this.cstate.selectedModel = availableModel || 'llama-3.2-1b';
+        }
+
+        // Show success message
+        console.log(`Model deleted successfully from: ${data.path}`);
+
+        // Refresh the model list
+        await this.populateSelector();
+      } catch (error) {
+        console.error('Error deleting model:', error);
+        this.setError(error.message || 'Failed to delete model');
+      }
+    },
+
+    async handleDownload(modelName) {
+      try {
+        const response = await fetch(`${window.location.origin}/download`, {
+          method: 'POST',
+          headers: {
+            'Content-Type': 'application/json'
+          },
+          body: JSON.stringify({
+            model: modelName
+          })
+        });
+
+        const data = await response.json();
+
+        if (!response.ok) {
+          throw new Error(data.error || 'Failed to start download');
+        }
+
+        // Update the model's status immediately when download starts
+        if (this.models[modelName]) {
+          this.models[modelName] = {
+            ...this.models[modelName],
+            loading: true
+          };
+        }
+
+      } catch (error) {
+        console.error('Error starting download:', error);
+        this.setError(error);
+      }
+    }
   }));
 });
 

exo/topology/topology.py

@@ -1,11 +1,27 @@
 from .device_capabilities import DeviceCapabilities
 from typing import Dict, Set, Optional
+from dataclasses import dataclass
 
+@dataclass
+class PeerConnection:
+  from_id: str
+  to_id: str
+  description: Optional[str] = None
+
+  def __hash__(self):
+    # Use both from_id and to_id for uniqueness in sets
+    return hash((self.from_id, self.to_id))
+
+  def __eq__(self, other):
+    if not isinstance(other, PeerConnection):
+      return False
+    # Compare both from_id and to_id for equality
+    return self.from_id == other.from_id and self.to_id == other.to_id
 
 class Topology:
   def __init__(self):
-    self.nodes: Dict[str, DeviceCapabilities] = {}  # Maps node IDs to DeviceCapabilities
-    self.peer_graph: Dict[str, Set[str]] = {}  # Adjacency list representing the graph
+    self.nodes: Dict[str, DeviceCapabilities] = {}
+    self.peer_graph: Dict[str, Set[PeerConnection]] = {}
     self.active_node_id: Optional[str] = None
 
   def update_node(self, node_id: str, device_capabilities: DeviceCapabilities):
@@ -17,33 +33,43 @@ class Topology:
   def all_nodes(self):
     return self.nodes.items()
 
-  def add_edge(self, node1_id: str, node2_id: str):
-    if node1_id not in self.peer_graph:
-      self.peer_graph[node1_id] = set()
-    if node2_id not in self.peer_graph:
-      self.peer_graph[node2_id] = set()
-    self.peer_graph[node1_id].add(node2_id)
-    self.peer_graph[node2_id].add(node1_id)
-
-  def get_neighbors(self, node_id: str) -> Set[str]:
-    return self.peer_graph.get(node_id, set())
-
-  def all_edges(self):
-    edges = []
-    for node, neighbors in self.peer_graph.items():
-      for neighbor in neighbors:
-        if (neighbor, node) not in edges:  # Avoid duplicate edges
-          edges.append((node, neighbor))
-    return edges
-
-  def merge(self, other: "Topology"):
+  def add_edge(self, from_id: str, to_id: str, description: Optional[str] = None):
+    if from_id not in self.peer_graph:
+      self.peer_graph[from_id] = set()
+    conn = PeerConnection(from_id, to_id, description)
+    self.peer_graph[from_id].add(conn)
+
+  def merge(self, peer_node_id: str, other: "Topology"):
     for node_id, capabilities in other.nodes.items():
+      if node_id != peer_node_id: continue
       self.update_node(node_id, capabilities)
-    for node_id, neighbors in other.peer_graph.items():
-      for neighbor in neighbors:
-        self.add_edge(node_id, neighbor)
+    for node_id, connections in other.peer_graph.items():
+      for conn in connections:
+        if conn.from_id != peer_node_id: continue
+        self.add_edge(conn.from_id, conn.to_id, conn.description)
 
   def __str__(self):
     nodes_str = ", ".join(f"{node_id}: {cap}" for node_id, cap in self.nodes.items())
-    edges_str = ", ".join(f"{node}: {neighbors}" for node, neighbors in self.peer_graph.items())
+    edges_str = ", ".join(f"{node}: {[f'{c.to_id}({c.description})' for c in conns]}"
+                         for node, conns in self.peer_graph.items())
     return f"Topology(Nodes: {{{nodes_str}}}, Edges: {{{edges_str}}})"
+
+  def to_json(self):
+    return {
+      "nodes": {
+        node_id: capabilities.to_dict()
+        for node_id, capabilities in self.nodes.items()
+      },
+      "peer_graph": {
+        node_id: [
+          {
+            "from_id": conn.from_id,
+            "to_id": conn.to_id,
+            "description": conn.description
+          }
+          for conn in connections
+        ]
+        for node_id, connections in self.peer_graph.items()
+      },
+      "active_node_id": self.active_node_id
+    }

exo/train/data/lora/test.jsonl

@@ -0,0 +1,100 @@
+{"text": "table: 1-10015132-16\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What is terrence ross' nationality\nA: SELECT Nationality FROM 1-10015132-16 WHERE Player = 'Terrence Ross'"}
+{"text": "table: 1-10015132-16\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What clu was in toronto 1995-96\nA: SELECT School/Club Team FROM 1-10015132-16 WHERE Years in Toronto = '1995-96'"}
+{"text": "table: 1-10015132-16\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: which club was in toronto 2003-06\nA: SELECT School/Club Team FROM 1-10015132-16 WHERE Years in Toronto = '2003-06'"}
+{"text": "table: 1-10015132-16\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: how many schools or teams had jalen rose\nA: SELECT COUNT School/Club Team FROM 1-10015132-16 WHERE Player = 'Jalen Rose'"}
+{"text": "table: 1-10083598-1\ncolumns: No, Date, Round, Circuit, Pole Position, Fastest Lap, Race winner, Report\nQ: Where was Assen held?\nA: SELECT Round FROM 1-10083598-1 WHERE Circuit = 'Assen'"}
+{"text": "table: 1-10083598-1\ncolumns: No, Date, Round, Circuit, Pole Position, Fastest Lap, Race winner, Report\nQ: What was the number of race that Kevin Curtain won?\nA: SELECT COUNT No FROM 1-10083598-1 WHERE Pole Position = 'Kevin Curtain'"}
+{"text": "table: 1-10083598-1\ncolumns: No, Date, Round, Circuit, Pole Position, Fastest Lap, Race winner, Report\nQ: What was the date of the race in Misano?\nA: SELECT Date FROM 1-10083598-1 WHERE Circuit = 'Misano'"}
+{"text": "table: 1-1013129-2\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: How many different positions did Sherbrooke Faucons (qmjhl) provide in the draft?\nA: SELECT COUNT Position FROM 1-1013129-2 WHERE College/junior/club team = 'Sherbrooke Faucons (QMJHL)'"}
+{"text": "table: 1-1013129-2\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What are the nationalities of the player picked from Thunder Bay Flyers (ushl)\nA: SELECT Nationality FROM 1-1013129-2 WHERE College/junior/club team = 'Thunder Bay Flyers (USHL)'"}
+{"text": "table: 1-1013129-2\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: How many different college/junior/club teams provided a player to the Washington Capitals NHL Team?\nA: SELECT COUNT College/junior/club team FROM 1-1013129-2 WHERE NHL team = 'Washington Capitals'"}
+{"text": "table: 1-1013129-3\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: How many different nationalities do the players of New Jersey Devils come from?\nA: SELECT COUNT Nationality FROM 1-1013129-3 WHERE NHL team = 'New Jersey Devils'"}
+{"text": "table: 1-1013129-3\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What's Dorain Anneck's pick number?\nA: SELECT Pick FROM 1-1013129-3 WHERE Player = 'Dorain Anneck'"}
+{"text": "table: 1-1013129-3\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What is the nationality of the player from Vancouver Canucks?\nA: SELECT Nationality FROM 1-1013129-3 WHERE NHL team = 'Vancouver Canucks'"}
+{"text": "table: 1-1013129-3\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What's the pick number of the player from Springfield Olympics (Nejhl)?\nA: SELECT Pick FROM 1-1013129-3 WHERE College/junior/club team = 'Springfield Olympics (NEJHL)'"}
+{"text": "table: 1-1014206-2\ncolumns: #, Shipyard, Laid down, Launched, Commissioned, Fleet, Status\nQ: When were the ships launched that were laid down on september 1, 1964?\nA: SELECT Launched FROM 1-1014206-2 WHERE Laid down = 'September 1, 1964'"}
+{"text": "table: 1-1014206-2\ncolumns: #, Shipyard, Laid down, Launched, Commissioned, Fleet, Status\nQ: List the # for ships commissioned on december 18, 1965.\nA: SELECT # FROM 1-1014206-2 WHERE Commissioned = 'December 18, 1965'"}
+{"text": "table: 1-1014206-2\ncolumns: #, Shipyard, Laid down, Launched, Commissioned, Fleet, Status\nQ: List the # for ships commissioned on september 30, 1967.\nA: SELECT # FROM 1-1014206-2 WHERE Commissioned = 'September 30, 1967'"}
+{"text": "table: 1-1014206-2\ncolumns: #, Shipyard, Laid down, Launched, Commissioned, Fleet, Status\nQ: When were ships laid down that were commissioned on october 29, 1965?\nA: SELECT Laid down FROM 1-1014206-2 WHERE Commissioned = 'October 29, 1965'"}
+{"text": "table: 1-1015521-2\ncolumns: Equivalent NATO Rank Code, Rank in Spanish, Rank in English, Commonwealth equivalent, US Air Force equivalent\nQ:  What could a spanish coronel be addressed as in the commonwealth military?\nA: SELECT Commonwealth equivalent FROM 1-1015521-2 WHERE Rank in Spanish = 'Coronel'"}
+{"text": "table: 1-1015521-2\ncolumns: Equivalent NATO Rank Code, Rank in Spanish, Rank in English, Commonwealth equivalent, US Air Force equivalent\nQ: Give me a list of all spanish officer titles that could receive recognition as group captain in english\nA: SELECT Rank in English FROM 1-1015521-2 WHERE Commonwealth equivalent = 'Group Captain'"}
+{"text": "table: 1-1015521-2\ncolumns: Equivalent NATO Rank Code, Rank in Spanish, Rank in English, Commonwealth equivalent, US Air Force equivalent\nQ: If you are a pilot officer in the commonwealth then what will you called as in the US air force?\nA: SELECT US Air Force equivalent FROM 1-1015521-2 WHERE Commonwealth equivalent = 'Pilot Officer'"}
+{"text": "table: 1-1015521-2\ncolumns: Equivalent NATO Rank Code, Rank in Spanish, Rank in English, Commonwealth equivalent, US Air Force equivalent\nQ: If you're a major general in the US air force then what ranking will you receive in the commonwealth's air force?\nA: SELECT Commonwealth equivalent FROM 1-1015521-2 WHERE US Air Force equivalent = 'Major General'"}
+{"text": "table: 1-1015521-2\ncolumns: Equivalent NATO Rank Code, Rank in Spanish, Rank in English, Commonwealth equivalent, US Air Force equivalent\nQ: If you get a ranking as major in the  english military then what would the spanish military address you as? \nA: SELECT Rank in Spanish FROM 1-1015521-2 WHERE Rank in English = 'Major'"}
+{"text": "table: 1-10182508-5\ncolumns: Rank Each wrestlers total number of days as champion are ranked highest to lowest; wrestlers with the same number mean that they are tied for that certain rank., Wrestler, # of reigns, Combined defenses, Combined days\nQ: Which wrestlers have had 2 reigns?\nA: SELECT Wrestler FROM 1-10182508-5 WHERE # of reigns = 2"}
+{"text": "table: 1-10182508-5\ncolumns: Rank Each wrestlers total number of days as champion are ranked highest to lowest; wrestlers with the same number mean that they are tied for that certain rank., Wrestler, # of reigns, Combined defenses, Combined days\nQ: In terms of reigns, what is the lowest number listed?\nA: SELECT MIN # of reigns FROM 1-10182508-5"}
+{"text": "table: 1-10182508-5\ncolumns: Rank Each wrestlers total number of days as champion are ranked highest to lowest; wrestlers with the same number mean that they are tied for that certain rank., Wrestler, # of reigns, Combined defenses, Combined days\nQ: What rank was Bryan Danielson in this chart?\nA: SELECT Rank Each wrestlers total number of days as champion are ranked highest to lowest; wrestlers with the same number mean that they are tied for that certain rank. FROM 1-10182508-5 WHERE Wrestler = 'Bryan Danielson'"}
+{"text": "table: 1-10182508-5\ncolumns: Rank Each wrestlers total number of days as champion are ranked highest to lowest; wrestlers with the same number mean that they are tied for that certain rank., Wrestler, # of reigns, Combined defenses, Combined days\nQ: How many combined days did Go Shiozaki have?\nA: SELECT Combined days FROM 1-10182508-5 WHERE Wrestler = 'Go Shiozaki'"}
+{"text": "table: 1-10182508-5\ncolumns: Rank Each wrestlers total number of days as champion are ranked highest to lowest; wrestlers with the same number mean that they are tied for that certain rank., Wrestler, # of reigns, Combined defenses, Combined days\nQ: What was Go Shiozaki's rank?\nA: SELECT MIN Rank Each wrestlers total number of days as champion are ranked highest to lowest; wrestlers with the same number mean that they are tied for that certain rank. FROM 1-10182508-5 WHERE Wrestler = 'Go Shiozaki'"}
+{"text": "table: 1-1024710-2\ncolumns: Member, Electorate, Province, MPs term, Election date\nQ: Which province is grey and bell electorate in\nA: SELECT Province FROM 1-1024710-2 WHERE Electorate = 'Grey and Bell'"}
+{"text": "table: 1-1024710-2\ncolumns: Member, Electorate, Province, MPs term, Election date\nQ: Which province is bay of islands in\nA: SELECT Province FROM 1-1024710-2 WHERE Electorate = 'Bay of Islands'"}
+{"text": "table: 1-10294071-1\ncolumns: Player, Total W\u2013L, Singles W\u2013L, Doubles W\u2013L, Ties played, Debut, Years played\nQ: what is the total number of\u00a0total w\u2013l\u00a0where\u00a0doubles w\u2013l\u00a0is 11\u201311\nA: SELECT COUNT Total W\u2013L FROM 1-10294071-1 WHERE Doubles W\u2013L = '11\u201311'"}
+{"text": "table: 1-10294071-1\ncolumns: Player, Total W\u2013L, Singles W\u2013L, Doubles W\u2013L, Ties played, Debut, Years played\nQ: what is the total number of\u00a0singles w\u2013l\u00a0where\u00a0doubles w\u2013l\u00a0is 11\u201314\nA: SELECT COUNT Singles W\u2013L FROM 1-10294071-1 WHERE Doubles W\u2013L = '11\u201314'"}
+{"text": "table: 1-10294071-1\ncolumns: Player, Total W\u2013L, Singles W\u2013L, Doubles W\u2013L, Ties played, Debut, Years played\nQ:  what's the\u00a0total w\u2013l\u00a0where\u00a0player\u00a0is boro jovanovi\u0107 category:articles with hcards\nA: SELECT Total W\u2013L FROM 1-10294071-1 WHERE Player = 'Boro Jovanovi\u0107 Category:Articles with hCards'"}
+{"text": "table: 1-10294071-1\ncolumns: Player, Total W\u2013L, Singles W\u2013L, Doubles W\u2013L, Ties played, Debut, Years played\nQ: what is the maximum\u00a0ties played\u00a0where\u00a0player\u00a0is josip palada category:articles with hcards\nA: SELECT MAX Ties played FROM 1-10294071-1 WHERE Player = 'Josip Palada Category:Articles with hCards'"}
+{"text": "table: 1-10294071-1\ncolumns: Player, Total W\u2013L, Singles W\u2013L, Doubles W\u2013L, Ties played, Debut, Years played\nQ: what is the total number of\u00a0ties played\u00a0where\u00a0total w\u2013l\u00a0is 38\u201324\nA: SELECT COUNT Ties played FROM 1-10294071-1 WHERE Total W\u2013L = '38\u201324'"}
+{"text": "table: 1-10333757-1\ncolumns: Calls, Frequency, Branding, Format, Market/Rank, Timeslot, Group owner\nQ: What is the Frequency at the Market/Rank of Burlington - Plattsburgh , Vermont - New York /143?\nA: SELECT COUNT Frequency FROM 1-10333757-1 WHERE Market/Rank = 'Burlington - Plattsburgh , Vermont - New York /143'"}
+{"text": "table: 1-10333757-1\ncolumns: Calls, Frequency, Branding, Format, Market/Rank, Timeslot, Group owner\nQ: What is the Branding for Group Owner Qantam of Cape Cod, LLC?\nA: SELECT Branding FROM 1-10333757-1 WHERE Group owner = 'Qantam of Cape Cod, LLC'"}
+{"text": "table: 1-10333757-1\ncolumns: Calls, Frequency, Branding, Format, Market/Rank, Timeslot, Group owner\nQ: What Branding does WRKO calls use?\nA: SELECT Branding FROM 1-10333757-1 WHERE Calls = 'WRKO'"}
+{"text": "table: 1-10333757-1\ncolumns: Calls, Frequency, Branding, Format, Market/Rank, Timeslot, Group owner\nQ: What is the Format for Branding of 1290 wkbk w281au 104.1?\nA: SELECT Format FROM 1-10333757-1 WHERE Branding = '1290 WKBK W281AU 104.1'"}
+{"text": "table: 1-10333757-1\ncolumns: Calls, Frequency, Branding, Format, Market/Rank, Timeslot, Group owner\nQ: Which Market/Rank is associated with WCRN calls?\nA: SELECT Market/Rank FROM 1-10333757-1 WHERE Calls = 'WCRN'"}
+{"text": "table: 1-10333757-1\ncolumns: Calls, Frequency, Branding, Format, Market/Rank, Timeslot, Group owner\nQ: Which Frequency is used for WEGP calls?\nA: SELECT Frequency FROM 1-10333757-1 WHERE Calls = 'WEGP'"}
+{"text": "table: 1-10408617-5\ncolumns: Scheme, Tariff code, BTs retail price (regulated), Approx premium, Prefixes\nQ: What is the regulated retail price for the tariff code ff0 prs?\nA: SELECT BTs retail price (regulated) FROM 1-10408617-5 WHERE Tariff code = 'ff0 PRS'"}
+{"text": "table: 1-10408617-5\ncolumns: Scheme, Tariff code, BTs retail price (regulated), Approx premium, Prefixes\nQ: What is the premium associated with tariff code g9?\nA: SELECT Approx premium FROM 1-10408617-5 WHERE Tariff code = 'g9'"}
+{"text": "table: 1-10408617-5\ncolumns: Scheme, Tariff code, BTs retail price (regulated), Approx premium, Prefixes\nQ: How many tariff codes have a bts retail price of 2p/min or inclusive?\nA: SELECT COUNT Tariff code FROM 1-10408617-5 WHERE BTs retail price (regulated) = '2p/min or inclusive'"}
+{"text": "table: 1-10408617-5\ncolumns: Scheme, Tariff code, BTs retail price (regulated), Approx premium, Prefixes\nQ: How many tariff codes have a bts retail price of 2.553p/min?\nA: SELECT COUNT Tariff code FROM 1-10408617-5 WHERE BTs retail price (regulated) = '2.553p/min'"}
+{"text": "table: 1-10408617-5\ncolumns: Scheme, Tariff code, BTs retail price (regulated), Approx premium, Prefixes\nQ: What prefixes are priced at pence per minute, fixed at all times with a premium of 3p/min?\nA: SELECT Prefixes FROM 1-10408617-5 WHERE Scheme = 'Pence per minute, fixed at all times' AND Approx premium = '3p/min'"}
+{"text": "table: 1-10408617-5\ncolumns: Scheme, Tariff code, BTs retail price (regulated), Approx premium, Prefixes\nQ: What is the bts retail price (regulated) for tariff code g10?\nA: SELECT BTs retail price (regulated) FROM 1-10408617-5 WHERE Tariff code = 'g10'"}
+{"text": "table: 1-10409754-5\ncolumns: Nominative, Old orthography, New orthography, /e/ or /\u00e6/ (IPA), Tone (Latvian notation: /~/ - level, /^/ - broken), Translation\nQ: What is the tone for gen.sing. plague?\nA: SELECT Tone (Latvian notation: /~/ - level, /^/ - broken) FROM 1-10409754-5 WHERE Translation = 'Gen.Sing. plague'"}
+{"text": "table: 1-10432351-1\ncolumns: Star (Pismis24-#), Spectral type, Magnitude (M bol ), Temperature (K), Radius (R \u2609 ), Mass (M \u2609 )\nQ: What is the smallest possible radius?\nA: SELECT MIN Radius (R \u2609 ) FROM 1-10432351-1"}
+{"text": "table: 1-10432351-1\ncolumns: Star (Pismis24-#), Spectral type, Magnitude (M bol ), Temperature (K), Radius (R \u2609 ), Mass (M \u2609 )\nQ: What are all the spectral types for star mismis24-# is 1sw?\nA: SELECT Spectral type FROM 1-10432351-1 WHERE Star (Pismis24-#) = '1SW'"}
+{"text": "table: 1-10432351-1\ncolumns: Star (Pismis24-#), Spectral type, Magnitude (M bol ), Temperature (K), Radius (R \u2609 ), Mass (M \u2609 )\nQ: If a radius is 10, what  is the lowest possible mass?\nA: SELECT MIN Mass (M \u2609 ) FROM 1-10432351-1 WHERE Radius (R \u2609 ) = 10"}
+{"text": "table: 1-105344-2\ncolumns: Year, Aircraft kilometers, Departures, Flying hours, Passengers, Seat factor, Employees, Profit/loss\nQ: What percentage of seats were filled in 2006?\nA: SELECT Seat factor FROM 1-105344-2 WHERE Year = 2006"}
+{"text": "table: 1-105344-2\ncolumns: Year, Aircraft kilometers, Departures, Flying hours, Passengers, Seat factor, Employees, Profit/loss\nQ: How many hours were flown in each of the years where more than 64379058.0 kilometers were flown?\nA: SELECT Flying hours FROM 1-105344-2 WHERE Aircraft kilometers > 64379058.0"}
+{"text": "table: 1-105344-2\ncolumns: Year, Aircraft kilometers, Departures, Flying hours, Passengers, Seat factor, Employees, Profit/loss\nQ: Of the years that had exactly 17096 departures, what is the greatest number of aircraft kilometers flown?\nA: SELECT MAX Aircraft kilometers FROM 1-105344-2 WHERE Departures = 17096"}
+{"text": "table: 1-10548224-1\ncolumns: Year, Game or event, Date contested, League or governing body, Sport, Winning team, Losing team, Final score\nQ: Which winning team beat the New York Yankees?\nA: SELECT Winning team FROM 1-10548224-1 WHERE Losing team = 'New York Yankees'"}
+{"text": "table: 1-10548224-1\ncolumns: Year, Game or event, Date contested, League or governing body, Sport, Winning team, Losing team, Final score\nQ: What was the final score for the game that was contested on February 1, 2009?\nA: SELECT Final score FROM 1-10548224-1 WHERE Date contested = 'February 1, 2009'"}
+{"text": "table: 1-10548224-1\ncolumns: Year, Game or event, Date contested, League or governing body, Sport, Winning team, Losing team, Final score\nQ: What sport had a final score of 3-2?\nA: SELECT Sport FROM 1-10548224-1 WHERE Final score = '3-2'"}
+{"text": "table: 1-10548224-1\ncolumns: Year, Game or event, Date contested, League or governing body, Sport, Winning team, Losing team, Final score\nQ: Who was the winning team of the game that was contested on February 1, 2009?\nA: SELECT Winning team FROM 1-10548224-1 WHERE Date contested = 'February 1, 2009'"}
+{"text": "table: 1-10548224-1\ncolumns: Year, Game or event, Date contested, League or governing body, Sport, Winning team, Losing team, Final score\nQ: Who was the losing team of the game that was contested on February 1, 2004?\nA: SELECT Losing team FROM 1-10548224-1 WHERE Date contested = 'February 1, 2004'"}
+{"text": "table: 1-1057262-2\ncolumns: Crop (kilotonnes), New South Wales, Victoria, Queensland, Western Australia, South Australia, Tasmania, Total\nQ: what's the minimum\u00a0total\u00a0with\u00a0crop (kilotonnes)\u00a0being s lupin\nA: SELECT MIN Total FROM 1-1057262-2 WHERE Crop (kilotonnes) = 's Lupin'"}
+{"text": "table: 1-1057262-2\ncolumns: Crop (kilotonnes), New South Wales, Victoria, Queensland, Western Australia, South Australia, Tasmania, Total\nQ: what's the\u00a0new south wales\u00a0with\u00a0crop (kilotonnes)\u00a0being canola\nA: SELECT New South Wales FROM 1-1057262-2 WHERE Crop (kilotonnes) = 'Canola'"}
+{"text": "table: 1-1057262-2\ncolumns: Crop (kilotonnes), New South Wales, Victoria, Queensland, Western Australia, South Australia, Tasmania, Total\nQ: what's the total number of\u00a0south australia\u00a0with\u00a0victoria\u00a0value of 2173\nA: SELECT COUNT South Australia FROM 1-1057262-2 WHERE Victoria = 2173"}
+{"text": "table: 1-1057262-2\ncolumns: Crop (kilotonnes), New South Wales, Victoria, Queensland, Western Australia, South Australia, Tasmania, Total\nQ: what's the minimum\u00a0tasmania value\nA: SELECT MIN Tasmania FROM 1-1057262-2"}
+{"text": "table: 1-1057262-2\ncolumns: Crop (kilotonnes), New South Wales, Victoria, Queensland, Western Australia, South Australia, Tasmania, Total\nQ: what's the total number of\u00a0tasmania\u00a0with\u00a0new south wales\u00a0crop of 190 kilotonnes\nA: SELECT COUNT Tasmania FROM 1-1057262-2 WHERE New South Wales = 190"}
+{"text": "table: 1-1058787-1\ncolumns: Approximate Age, Virtues, Psycho Social Crisis, Significant Relationship, Existential Question [ not in citation given ], Examples\nQ: How many significant relationships list Will as a virtue?\nA: SELECT COUNT Significant Relationship FROM 1-1058787-1 WHERE Virtues = 'Will'"}
+{"text": "table: 1-1058787-1\ncolumns: Approximate Age, Virtues, Psycho Social Crisis, Significant Relationship, Existential Question [ not in citation given ], Examples\nQ: Which examples ask the existential question \"Can I Love?\"\nA: SELECT Examples FROM 1-1058787-1 WHERE Existential Question [ not in citation given ] = 'Can I Love?'"}
+{"text": "table: 1-1059743-2\ncolumns: Rank, Member Association, Points, Group stage, Play-off, AFC Cup\nQ: How many countries got 796.7 points?\nA: SELECT COUNT Rank FROM 1-1059743-2 WHERE Points = '796.7'"}
+{"text": "table: 1-1059743-2\ncolumns: Rank, Member Association, Points, Group stage, Play-off, AFC Cup\nQ: In what group stage were 177.2 points awarded?\nA: SELECT COUNT Group stage FROM 1-1059743-2 WHERE Points = '177.2'"}
+{"text": "table: 1-1059743-2\ncolumns: Rank, Member Association, Points, Group stage, Play-off, AFC Cup\nQ: What is the lowest group to earn 886.6 points?\nA: SELECT MIN Group stage FROM 1-1059743-2 WHERE Points = '886.6'"}
+{"text": "table: 1-1059743-2\ncolumns: Rank, Member Association, Points, Group stage, Play-off, AFC Cup\nQ: How many countries earned 177.2 points?\nA: SELECT COUNT Member Association FROM 1-1059743-2 WHERE Points = '177.2'"}
+{"text": "table: 1-10586064-2\ncolumns: County, Precincts, Lunsford, % Lunsford, McConnell, % McConnell, Total\nQ: If % lunsford is 51.82% what is the % mcconnell in Letcher?\nA: SELECT % McConnell FROM 1-10586064-2 WHERE % Lunsford = '51.82%'"}
+{"text": "table: 1-10586064-2\ncolumns: County, Precincts, Lunsford, % Lunsford, McConnell, % McConnell, Total\nQ: What country had the total 18,900 (r)?\nA: SELECT County FROM 1-10586064-2 WHERE Total = '18,900 (R)'"}
+{"text": "table: 1-10586064-2\ncolumns: County, Precincts, Lunsford, % Lunsford, McConnell, % McConnell, Total\nQ: When % mcconnell is 44.54% what are the total number of counties?\nA: SELECT COUNT County FROM 1-10586064-2 WHERE % McConnell = '44.54%'"}
+{"text": "table: 1-10586064-2\ncolumns: County, Precincts, Lunsford, % Lunsford, McConnell, % McConnell, Total\nQ: If % mcconnell is 47.17% what is the total number of mcconnell ?\nA: SELECT COUNT McConnell FROM 1-10586064-2 WHERE % McConnell = '47.17%'"}
+{"text": "table: 1-10586064-2\ncolumns: County, Precincts, Lunsford, % Lunsford, McConnell, % McConnell, Total\nQ: What is the county of precints 515?\nA: SELECT County FROM 1-10586064-2 WHERE Precincts = 515"}
+{"text": "table: 1-10601843-2\ncolumns: Stadium, Capacity, City, Country, Tenant, Opening\nQ: Which city has a capacity of 41903?\nA: SELECT City FROM 1-10601843-2 WHERE Capacity = 41903"}
+{"text": "table: 1-10601843-2\ncolumns: Stadium, Capacity, City, Country, Tenant, Opening\nQ: What is the maximum capacity of the Otkrytie Arena stadium?\nA: SELECT MAX Capacity FROM 1-10601843-2 WHERE Stadium = 'Otkrytie Arena'"}
+{"text": "table: 1-10601843-2\ncolumns: Stadium, Capacity, City, Country, Tenant, Opening\nQ: When did the stadium where Bursaspor is the tenant open?\nA: SELECT MIN Opening FROM 1-10601843-2 WHERE Tenant = 'Bursaspor'"}
+{"text": "table: 1-10601843-2\ncolumns: Stadium, Capacity, City, Country, Tenant, Opening\nQ: How many tenants are there in the city of Samsun?\nA: SELECT COUNT Tenant FROM 1-10601843-2 WHERE City = 'Samsun'"}
+{"text": "table: 1-10610087-5\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date\nQ: what's the\u00a0original air date\u00a0with\u00a0title\u00a0 \"hell\"\nA: SELECT Original air date FROM 1-10610087-5 WHERE Title = '\"Hell\"'"}
+{"text": "table: 1-10638523-1\ncolumns: Particulars and Characteristics, Shivalik Zone, Mid-Hill Zone, High hill zone, Trance- n Himalaya Zone\nQ: What is the percentage of the Shivalik Zone where the percentage of the Mid-Hill Zone is 10%?\nA: SELECT Shivalik Zone FROM 1-10638523-1 WHERE Mid-Hill Zone = '10%'"}
+{"text": "table: 1-10638523-1\ncolumns: Particulars and Characteristics, Shivalik Zone, Mid-Hill Zone, High hill zone, Trance- n Himalaya Zone\nQ: For mid-hill zone  what is the altitude?\nA: SELECT Mid-Hill Zone FROM 1-10638523-1 WHERE Particulars and Characteristics = 'Altitude'"}
+{"text": "table: 1-10638523-1\ncolumns: Particulars and Characteristics, Shivalik Zone, Mid-Hill Zone, High hill zone, Trance- n Himalaya Zone\nQ: What are the climatic conditions for the trance- n himalaya zone?\nA: SELECT Trance- n Himalaya Zone FROM 1-10638523-1 WHERE Particulars and Characteristics = 'Climatic conditions'"}
+{"text": "table: 1-10638523-1\ncolumns: Particulars and Characteristics, Shivalik Zone, Mid-Hill Zone, High hill zone, Trance- n Himalaya Zone\nQ: What is the percentage of the  trance- n himalaya zone that corresponds with the high hill zone is 25%?\nA: SELECT Trance- n Himalaya Zone FROM 1-10638523-1 WHERE High hill zone = '25%'"}
+{"text": "table: 1-10644188-3\ncolumns: Total tenure rank, Uninterrupted rank, Name, State represented, Dates of service, Total tenure time, Uninterrupted time\nQ: What is the state of Ted Stevens?\nA: SELECT State represented FROM 1-10644188-3 WHERE Name = 'Ted Stevens'"}
+{"text": "table: 1-10682862-68\ncolumns: Country, Players, Standard, Minor, First title, Last title\nQ: What's the standard of the country who won its first title in 1992?\nA: SELECT MAX Standard FROM 1-10682862-68 WHERE First title = 1992"}
+{"text": "table: 1-10682862-68\ncolumns: Country, Players, Standard, Minor, First title, Last title\nQ: What's the smallest number of players?\nA: SELECT MIN Players FROM 1-10682862-68"}
+{"text": "table: 1-10682862-68\ncolumns: Country, Players, Standard, Minor, First title, Last title\nQ: In what year was the last last title received, by any of the countries?\nA: SELECT MAX Last title FROM 1-10682862-68"}
+{"text": "table: 1-10710364-1\ncolumns: Religious group, Population % 1961, Population % 1971, Population % 1981, Population % 1991, Population % 2001\nQ: What religious groups made up 0.72% of the Indian population in 2001?\nA: SELECT Religious group FROM 1-10710364-1 WHERE Population % 2001 = '0.72%'"}
+{"text": "table: 1-10718868-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: What is the original air date for episode 15 of season 6?\nA: SELECT Original air date FROM 1-10718868-2 WHERE No. in season = 15"}
+{"text": "table: 1-10718868-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: How many episodes in season 6 titles \"Poppin' Tags\"?\nA: SELECT COUNT No. in season FROM 1-10718868-2 WHERE Title = '\"Poppin' Tags\"'"}
+{"text": "table: 1-10753917-1\ncolumns: Season, Driver, Team, Engine, Poles, Wins, Podiums, Points, Margin of defeat\nQ: Which podiums did the Williams team have with a margin of defeat of 2?\nA: SELECT Podiums FROM 1-10753917-1 WHERE Team = 'Williams' AND Margin of defeat = '2'"}
+{"text": "table: 1-10753917-1\ncolumns: Season, Driver, Team, Engine, Poles, Wins, Podiums, Points, Margin of defeat\nQ: How many drivers on the williams team had a margin of defeat of 2?\nA: SELECT COUNT Driver FROM 1-10753917-1 WHERE Team = 'Williams' AND Margin of defeat = '2'"}
+{"text": "table: 1-10753917-1\ncolumns: Season, Driver, Team, Engine, Poles, Wins, Podiums, Points, Margin of defeat\nQ: How many seasons was clay regazzoni the driver?\nA: SELECT COUNT Season FROM 1-10753917-1 WHERE Driver = 'Clay Regazzoni'"}
+{"text": "table: 1-10753917-1\ncolumns: Season, Driver, Team, Engine, Poles, Wins, Podiums, Points, Margin of defeat\nQ: Which margin of defeats had points of 30?\nA: SELECT Margin of defeat FROM 1-10753917-1 WHERE Points = '30'"}
+{"text": "table: 1-10753917-1\ncolumns: Season, Driver, Team, Engine, Poles, Wins, Podiums, Points, Margin of defeat\nQ: Which podiums did the alfa romeo team have?\nA: SELECT Podiums FROM 1-10753917-1 WHERE Team = 'Alfa Romeo'"}
+{"text": "table: 1-10797636-1\ncolumns: Village (German), Village (Slovene), Number of people 1991, Percent of Slovenes 1991, Percent of Slovenes 1951\nQ: What was the percent of slovenes 1951 for bach?\nA: SELECT Percent of Slovenes 1951 FROM 1-10797636-1 WHERE Village (German) = 'Bach'"}
+{"text": "table: 1-10812403-4\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What college's team is the Saskatchewan Roughriders?\nA: SELECT College FROM 1-10812403-4 WHERE CFL Team = 'Saskatchewan Roughriders'"}
+{"text": "table: 1-10812403-4\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What position did Calvin Mccarty play?\nA: SELECT Position FROM 1-10812403-4 WHERE Player = 'Calvin McCarty'"}
+{"text": "table: 1-10812403-4\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: How many people were pick #30?\nA: SELECT COUNT Position FROM 1-10812403-4 WHERE Pick # = 30"}

exo/train/data/lora/train.jsonl

@@ -0,0 +1,1000 @@
+{"text": "table: 1-1000181-1\ncolumns: State/territory, Text/background colour, Format, Current slogan, Current series, Notes\nQ: Tell me what the notes are for South Australia \nA: SELECT Notes FROM 1-1000181-1 WHERE Current slogan = 'SOUTH AUSTRALIA'"}
+{"text": "table: 1-1000181-1\ncolumns: State/territory, Text/background colour, Format, Current slogan, Current series, Notes\nQ: What is the current series where the new series began in June 2011?\nA: SELECT Current series FROM 1-1000181-1 WHERE Notes = 'New series began in June 2011'"}
+{"text": "table: 1-1000181-1\ncolumns: State/territory, Text/background colour, Format, Current slogan, Current series, Notes\nQ: What is the format for South Australia?\nA: SELECT Format FROM 1-1000181-1 WHERE State/territory = 'South Australia'"}
+{"text": "table: 1-1000181-1\ncolumns: State/territory, Text/background colour, Format, Current slogan, Current series, Notes\nQ: Name the background colour for the Australian Capital Territory\nA: SELECT Text/background colour FROM 1-1000181-1 WHERE State/territory = 'Australian Capital Territory'"}
+{"text": "table: 1-10007452-3\ncolumns: Order Year, Manufacturer, Model, Fleet Series (Quantity), Powertrain (Engine/Transmission), Fuel Propulsion\nQ: how many times is the fuel propulsion is cng?\nA: SELECT COUNT Fleet Series (Quantity) FROM 1-10007452-3 WHERE Fuel Propulsion = 'CNG'"}
+{"text": "table: 1-10007452-3\ncolumns: Order Year, Manufacturer, Model, Fleet Series (Quantity), Powertrain (Engine/Transmission), Fuel Propulsion\nQ: what is the fuel propulsion where the fleet series (quantity) is 310-329 (20)?\nA: SELECT Fuel Propulsion FROM 1-10007452-3 WHERE Fleet Series (Quantity) = '310-329 (20)'"}
+{"text": "table: 1-10007452-3\ncolumns: Order Year, Manufacturer, Model, Fleet Series (Quantity), Powertrain (Engine/Transmission), Fuel Propulsion\nQ: who is the manufacturer for the order year 1998?\nA: SELECT Manufacturer FROM 1-10007452-3 WHERE Order Year = '1998'"}
+{"text": "table: 1-10007452-3\ncolumns: Order Year, Manufacturer, Model, Fleet Series (Quantity), Powertrain (Engine/Transmission), Fuel Propulsion\nQ: how many times is the model ge40lfr?\nA: SELECT COUNT Manufacturer FROM 1-10007452-3 WHERE Model = 'GE40LFR'"}
+{"text": "table: 1-10007452-3\ncolumns: Order Year, Manufacturer, Model, Fleet Series (Quantity), Powertrain (Engine/Transmission), Fuel Propulsion\nQ: how many times is the fleet series (quantity) is 468-473 (6)?\nA: SELECT COUNT Order Year FROM 1-10007452-3 WHERE Fleet Series (Quantity) = '468-473 (6)'"}
+{"text": "table: 1-10007452-3\ncolumns: Order Year, Manufacturer, Model, Fleet Series (Quantity), Powertrain (Engine/Transmission), Fuel Propulsion\nQ: what is the powertrain (engine/transmission) when the order year is 2000?\nA: SELECT Powertrain (Engine/Transmission) FROM 1-10007452-3 WHERE Order Year = '2000'"}
+{"text": "table: 1-10006830-1\ncolumns: Aircraft, Description, Max Gross Weight, Total disk area, Max disk Loading\nQ: What if the description of a ch-47d chinook?\nA: SELECT Description FROM 1-10006830-1 WHERE Aircraft = 'CH-47D Chinook'"}
+{"text": "table: 1-10006830-1\ncolumns: Aircraft, Description, Max Gross Weight, Total disk area, Max disk Loading\nQ: What is the max gross weight of the Robinson R-22?\nA: SELECT Max Gross Weight FROM 1-10006830-1 WHERE Aircraft = 'Robinson R-22'"}
+{"text": "table: 1-10015132-1\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What school did player number 6 come from?\nA: SELECT School/Club Team FROM 1-10015132-1 WHERE No. = '6'"}
+{"text": "table: 1-10015132-1\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What school did the player that has been in Toronto from 2012-present come from?\nA: SELECT School/Club Team FROM 1-10015132-1 WHERE Years in Toronto = '2012-present'"}
+{"text": "table: 1-10015132-1\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What school did the player that has been in Toronto from 2010-2012 go to?\nA: SELECT School/Club Team FROM 1-10015132-1 WHERE Years in Toronto = '2010-2012'"}
+{"text": "table: 1-10015132-1\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What position did the player from Baylor play?\nA: SELECT Position FROM 1-10015132-1 WHERE School/Club Team = 'Baylor'"}
+{"text": "table: 1-10015132-14\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: Who played in the Toronto Raptors from 1995-96?\nA: SELECT Player FROM 1-10015132-14 WHERE Years in Toronto = '1995-96'"}
+{"text": "table: 1-10015132-14\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: Which number was Patrick O'Bryant?\nA: SELECT No. FROM 1-10015132-14 WHERE Player = 'Patrick O'Bryant'"}
+{"text": "table: 1-10015132-14\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What school did Patrick O'Bryant play for?\nA: SELECT School/Club Team FROM 1-10015132-14 WHERE Player = 'Patrick O'Bryant'"}
+{"text": "table: 1-10015132-14\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: How many number does Fordham school have?\nA: SELECT COUNT No. FROM 1-10015132-14 WHERE School/Club Team = 'Fordham'"}
+{"text": "table: 1-10015132-14\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: Which school was in Toronto in 2001-02?\nA: SELECT School/Club Team FROM 1-10015132-14 WHERE Years in Toronto = '2001-02'"}
+{"text": "table: 1-10015132-21\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: Which school did the player that played 2004-05 attend?\nA: SELECT School/Club Team FROM 1-10015132-21 WHERE Years in Toronto = '2004-05'"}
+{"text": "table: 1-10015132-21\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: Which position does Loren Woods play?\nA: SELECT Position FROM 1-10015132-21 WHERE Player = 'Loren Woods'"}
+{"text": "table: 1-10015132-21\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What number is the player that played 1998-2001\nA: SELECT MIN No. FROM 1-10015132-21 WHERE Years in Toronto = '1998-2001'"}
+{"text": "table: 1-10015132-21\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: Which country is the player that went to Georgetown from?\nA: SELECT Nationality FROM 1-10015132-21 WHERE School/Club Team = 'Georgetown'"}
+{"text": "table: 1-10015132-21\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: Which school did Herb Williams go to?\nA: SELECT School/Club Team FROM 1-10015132-21 WHERE Player = 'Herb Williams'"}
+{"text": "table: 1-10015132-3\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: When did the player from Hawaii play for Toronto?\nA: SELECT Years in Toronto FROM 1-10015132-3 WHERE School/Club Team = 'Hawaii'"}
+{"text": "table: 1-10015132-3\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: During what period did Dell Curry play for Toronto?\nA: SELECT Years in Toronto FROM 1-10015132-3 WHERE Player = 'Dell Curry'"}
+{"text": "table: 1-10015132-3\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What's the number of the player from Boise State?\nA: SELECT No. FROM 1-10015132-3 WHERE School/Club Team = 'Boise State'"}
+{"text": "table: 1-10015132-3\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What's Dell Curry nationality?\nA: SELECT Nationality FROM 1-10015132-3 WHERE Player = 'Dell Curry'"}
+{"text": "table: 1-10015132-7\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: which player is from georgia\nA: SELECT Player FROM 1-10015132-7 WHERE School/Club Team = 'Georgia'"}
+{"text": "table: 1-10015132-7\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: what school is rudy gay from\nA: SELECT School/Club Team FROM 1-10015132-7 WHERE Player = 'Rudy Gay'"}
+{"text": "table: 1-10015132-7\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: what nationality is the player who played from 1997-98\nA: SELECT Nationality FROM 1-10015132-7 WHERE Years in Toronto = '1997-98'"}
+{"text": "table: 1-10015132-7\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: what position did the player from connecticut play\nA: SELECT Position FROM 1-10015132-7 WHERE School/Club Team = 'Connecticut'"}
+{"text": "table: 1-10015132-2\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: During which years was Marcus Banks in Toronto?\nA: SELECT Years in Toronto FROM 1-10015132-2 WHERE Player = 'Marcus Banks'"}
+{"text": "table: 1-10015132-2\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: Which positions were in Toronto in 2004?\nA: SELECT Position FROM 1-10015132-2 WHERE Years in Toronto = '2004'"}
+{"text": "table: 1-10015132-2\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What nationality is the player Muggsy Bogues?\nA: SELECT Nationality FROM 1-10015132-2 WHERE Player = 'Muggsy Bogues'"}
+{"text": "table: 1-10015132-2\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What years was the player Lonny Baxter in Toronto?\nA: SELECT Years in Toronto FROM 1-10015132-2 WHERE Player = 'Lonny Baxter'"}
+{"text": "table: 1-10015132-2\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: How many players were with the school or club team La Salle?\nA: SELECT COUNT Player FROM 1-10015132-2 WHERE School/Club Team = 'La Salle'"}
+{"text": "table: 1-10021158-3\ncolumns: Year, Tournaments played, Cuts made*, Wins, 2nd, Top 10s, Best finish, Earnings ($), Money list rank, Scoring average, Scoring rank\nQ: When the scoring rank was 117, what was the best finish?\nA: SELECT Best finish FROM 1-10021158-3 WHERE Scoring rank = '117'"}
+{"text": "table: 1-10021158-3\ncolumns: Year, Tournaments played, Cuts made*, Wins, 2nd, Top 10s, Best finish, Earnings ($), Money list rank, Scoring average, Scoring rank\nQ: When the best finish was T69, how many people came in 2nd?\nA: SELECT 2nd FROM 1-10021158-3 WHERE Best finish = 'T69'"}
+{"text": "table: 1-10021158-3\ncolumns: Year, Tournaments played, Cuts made*, Wins, 2nd, Top 10s, Best finish, Earnings ($), Money list rank, Scoring average, Scoring rank\nQ: How many wins were there when the money list rank was 183?\nA: SELECT COUNT Wins FROM 1-10021158-3 WHERE Money list rank = '183'"}
+{"text": "table: 1-10021158-3\ncolumns: Year, Tournaments played, Cuts made*, Wins, 2nd, Top 10s, Best finish, Earnings ($), Money list rank, Scoring average, Scoring rank\nQ: When the money list rank was n/a, what was the scoring average?\nA: SELECT Scoring average FROM 1-10021158-3 WHERE Money list rank = 'n/a'"}
+{"text": "table: 1-10021158-3\ncolumns: Year, Tournaments played, Cuts made*, Wins, 2nd, Top 10s, Best finish, Earnings ($), Money list rank, Scoring average, Scoring rank\nQ: What time was the highest for 2nd finishers?\nA: SELECT MAX 2nd FROM 1-10021158-3"}
+{"text": "table: 1-1004033-1\ncolumns: Season, Player, Position, Nationality, Team, Draft Pick #, Draft Class, College\nQ: When did the Metrostars have their first Rookie of the Year winner?\nA: SELECT MIN Season FROM 1-1004033-1 WHERE Team = 'MetroStars'"}
+{"text": "table: 1-1004033-1\ncolumns: Season, Player, Position, Nationality, Team, Draft Pick #, Draft Class, College\nQ: What college did the Rookie of the Year from the Columbus Crew attend?\nA: SELECT College FROM 1-1004033-1 WHERE Team = 'Columbus Crew'"}
+{"text": "table: 1-1004033-1\ncolumns: Season, Player, Position, Nationality, Team, Draft Pick #, Draft Class, College\nQ: How many teams had a #1 draft pick that won the Rookie of the Year Award?\nA: SELECT COUNT Team FROM 1-1004033-1 WHERE Draft Pick # = '1'"}
+{"text": "table: 1-1004033-1\ncolumns: Season, Player, Position, Nationality, Team, Draft Pick #, Draft Class, College\nQ: What position did the #10 draft pick play?\nA: SELECT Position FROM 1-1004033-1 WHERE Draft Pick # = '10'"}
+{"text": "table: 1-10023387-1\ncolumns: Player, Years Played, Total W-L, Singles W-L, Doubles W-L\nQ: what's the\u00a0years played\u00a0with\u00a0singles w-l\u00a0of 3\u20132\nA: SELECT Years Played FROM 1-10023387-1 WHERE Singles W-L = '3\u20132'"}
+{"text": "table: 1-10023387-1\ncolumns: Player, Years Played, Total W-L, Singles W-L, Doubles W-L\nQ: what's the\u00a0doubles w-l\u00a0for player\u00a0seol jae-min (none)\nA: SELECT Doubles W-L FROM 1-10023387-1 WHERE Player = 'Seol Jae-Min (none)'"}
+{"text": "table: 1-10023387-1\ncolumns: Player, Years Played, Total W-L, Singles W-L, Doubles W-L\nQ: what's the\u00a0singles w-l\u00a0for kim doo-hwan\nA: SELECT Singles W-L FROM 1-10023387-1 WHERE Player = 'Kim Doo-Hwan'"}
+{"text": "table: 1-10023387-1\ncolumns: Player, Years Played, Total W-L, Singles W-L, Doubles W-L\nQ: what's the total number of\u00a0singles w-l\u00a0with\u00a0doubles w-l\u00a0of 0\u20130 and\u00a0total w-l\u00a0of 3\u20131\nA: SELECT COUNT Singles W-L FROM 1-10023387-1 WHERE Doubles W-L = '0\u20130' AND Total W-L = '3\u20131'"}
+{"text": "table: 1-10023387-1\ncolumns: Player, Years Played, Total W-L, Singles W-L, Doubles W-L\nQ: what's the\u00a0doubles w-l\u00a0with\u00a0years played\u00a0value of 1 (1968)\nA: SELECT Doubles W-L FROM 1-10023387-1 WHERE Years Played = '1 (1968)'"}
+{"text": "table: 1-10023387-1\ncolumns: Player, Years Played, Total W-L, Singles W-L, Doubles W-L\nQ: what\u00a0years are played\u00a0for player\u00a0 im chung-yang\nA: SELECT Years Played FROM 1-10023387-1 WHERE Player = 'Im Chung-Yang'"}
+{"text": "table: 1-10020178-1\ncolumns: Name, Canton, Height (meters), Crest length (meters), Type, Year of construction, Name of the Lake\nQ: What is the name of the 375 crest length?\nA: SELECT Name FROM 1-10020178-1 WHERE Crest length (meters) = 375"}
+{"text": "table: 1-10020178-1\ncolumns: Name, Canton, Height (meters), Crest length (meters), Type, Year of construction, Name of the Lake\nQ: What is year of construction of spitallamm?\nA: SELECT MIN Year of construction FROM 1-10020178-1 WHERE Name = 'Spitallamm'"}
+{"text": "table: 1-10020178-1\ncolumns: Name, Canton, Height (meters), Crest length (meters), Type, Year of construction, Name of the Lake\nQ: What is the canton of grande dixence?\nA: SELECT Canton FROM 1-10020178-1 WHERE Name = 'Grande Dixence'"}
+{"text": "table: 1-10020178-1\ncolumns: Name, Canton, Height (meters), Crest length (meters), Type, Year of construction, Name of the Lake\nQ: What is the name where lago di luzzone is?\nA: SELECT Name FROM 1-10020178-1 WHERE Name of the Lake = 'Lago di Luzzone'"}
+{"text": "table: 1-100518-1\ncolumns: Name, Direction, Mantra, Weapon, Consort, Graha (Planet), Guardian M\u0101t\u1e5bk\u0101\nQ: What is the  guardian m\u0101t\u1e5bk\u0101 for the guardian whose consort is Sv\u0101h\u0101?\nA: SELECT Guardian M\u0101t\u1e5bk\u0101 FROM 1-100518-1 WHERE Consort = 'Sv\u0101h\u0101'"}
+{"text": "table: 1-100518-1\ncolumns: Name, Direction, Mantra, Weapon, Consort, Graha (Planet), Guardian M\u0101t\u1e5bk\u0101\nQ: Where the mantra is \"o\u1e43 ya\u1e43 v\u0101yuve nama\u1e25\", what is the direction of the guardian?\nA: SELECT Direction FROM 1-100518-1 WHERE Mantra = 'O\u1e43 Ya\u1e43 V\u0101yuve Nama\u1e25'"}
+{"text": "table: 1-100518-1\ncolumns: Name, Direction, Mantra, Weapon, Consort, Graha (Planet), Guardian M\u0101t\u1e5bk\u0101\nQ: What weapon is used by the guardian whose consort is \u015bac\u012b?\nA: SELECT Weapon FROM 1-100518-1 WHERE Consort = '\u015aac\u012b'"}
+{"text": "table: 1-100518-1\ncolumns: Name, Direction, Mantra, Weapon, Consort, Graha (Planet), Guardian M\u0101t\u1e5bk\u0101\nQ: What are the directions for the guardian whose weapon is kha\u1e0dga (sword)?\nA: SELECT Direction FROM 1-100518-1 WHERE Weapon = 'Kha\u1e0dga (sword)'"}
+{"text": "table: 1-100518-1\ncolumns: Name, Direction, Mantra, Weapon, Consort, Graha (Planet), Guardian M\u0101t\u1e5bk\u0101\nQ: What are the weapons used by guardians for the direction East?\nA: SELECT Weapon FROM 1-100518-1 WHERE Direction = 'East'"}
+{"text": "table: 1-100518-1\ncolumns: Name, Direction, Mantra, Weapon, Consort, Graha (Planet), Guardian M\u0101t\u1e5bk\u0101\nQ: What are the directions for the guardian whose graha (planet) is b\u1e5bhaspati (Jupiter)?\nA: SELECT Direction FROM 1-100518-1 WHERE Graha (Planet) = 'B\u1e5bhaspati (Jupiter)'"}
+{"text": "table: 1-10054296-1\ncolumns: Member, Headquarters, Classification, Chapters, Founded, UCCFS\nQ: What is the number of chapters listed for the fraternity with a headquarters in Austin, Texas?\nA: SELECT MAX Chapters FROM 1-10054296-1 WHERE Classification = 'Fraternity' AND Headquarters = 'Austin, Texas'"}
+{"text": "table: 1-10054296-1\ncolumns: Member, Headquarters, Classification, Chapters, Founded, UCCFS\nQ: What are the members listed with the sorority classification\nA: SELECT Member FROM 1-10054296-1 WHERE Classification = 'Sorority'"}
+{"text": "table: 1-10054296-1\ncolumns: Member, Headquarters, Classification, Chapters, Founded, UCCFS\nQ: Name the member that has 12 chapters\nA: SELECT Member FROM 1-10054296-1 WHERE Chapters = 12"}
+{"text": "table: 1-10054296-1\ncolumns: Member, Headquarters, Classification, Chapters, Founded, UCCFS\nQ: Where is the headquarters of Alpha Nu Omega\nA: SELECT Headquarters FROM 1-10054296-1 WHERE Member = 'Alpha Nu Omega'"}
+{"text": "table: 1-1007688-1\ncolumns: Year, Typhus, Typhoid fever, Relapsing fever, Smallpox, Malaria\nQ: what is the number of relapsing fever when malaria is 3000\nA: SELECT MIN Relapsing fever FROM 1-1007688-1 WHERE Malaria = '3000'"}
+{"text": "table: 1-1007688-1\ncolumns: Year, Typhus, Typhoid fever, Relapsing fever, Smallpox, Malaria\nQ: what is the typhoid fever number for the year 1934\nA: SELECT Typhoid fever FROM 1-1007688-1 WHERE Year = '1934'"}
+{"text": "table: 1-1007688-1\ncolumns: Year, Typhus, Typhoid fever, Relapsing fever, Smallpox, Malaria\nQ: What are all the typhus number when smallpox is 4\nA: SELECT Typhus FROM 1-1007688-1 WHERE Smallpox = 4"}
+{"text": "table: 1-1007688-1\ncolumns: Year, Typhus, Typhoid fever, Relapsing fever, Smallpox, Malaria\nQ: what is the number of smallpox when typhoid fever is 293\nA: SELECT MAX Smallpox FROM 1-1007688-1 WHERE Typhoid fever = 293"}
+{"text": "table: 1-1007688-1\ncolumns: Year, Typhus, Typhoid fever, Relapsing fever, Smallpox, Malaria\nQ: what is the typhoid fever number for the year 1929\nA: SELECT Typhoid fever FROM 1-1007688-1 WHERE Year = '1929'"}
+{"text": "table: 1-10082596-1\ncolumns: School, Location, Founded, Affiliation, Enrollment, Team Nickname, Primary conference\nQ: How many schools are in Bloomington, IN?\nA: SELECT COUNT Founded FROM 1-10082596-1 WHERE Location = 'Bloomington, IN'"}
+{"text": "table: 1-10082596-1\ncolumns: School, Location, Founded, Affiliation, Enrollment, Team Nickname, Primary conference\nQ: How many of the schools are designated private/Presbyterian?\nA: SELECT COUNT Location FROM 1-10082596-1 WHERE Affiliation = 'Private/Presbyterian'"}
+{"text": "table: 1-10082596-1\ncolumns: School, Location, Founded, Affiliation, Enrollment, Team Nickname, Primary conference\nQ: In what year was Lindenwood University founded?\nA: SELECT MIN Founded FROM 1-10082596-1 WHERE School = 'Lindenwood University'"}
+{"text": "table: 1-10082596-1\ncolumns: School, Location, Founded, Affiliation, Enrollment, Team Nickname, Primary conference\nQ: How many of the schools listed are in Ames, IA?\nA: SELECT COUNT Primary conference FROM 1-10082596-1 WHERE Location = 'Ames, IA'"}
+{"text": "table: 1-1008653-9\ncolumns: Country ( exonym ), Capital ( exonym ), Country ( endonym ), Capital ( endonym ), Official or native language(s) (alphabet/script)\nQ: What is the capital (endonym) where Douglas is the Capital (exonym)?\nA: SELECT Capital ( endonym ) FROM 1-1008653-9 WHERE Capital ( exonym ) = 'Douglas'"}
+{"text": "table: 1-1008653-9\ncolumns: Country ( exonym ), Capital ( exonym ), Country ( endonym ), Capital ( endonym ), Official or native language(s) (alphabet/script)\nQ: How many countries (endonym) has the capital (endonym) of Jakarta?\nA: SELECT COUNT Country ( endonym ) FROM 1-1008653-9 WHERE Capital ( endonym ) = 'Jakarta'"}
+{"text": "table: 1-1008653-9\ncolumns: Country ( exonym ), Capital ( exonym ), Country ( endonym ), Capital ( endonym ), Official or native language(s) (alphabet/script)\nQ: What is the country (exonym) where the official or native language(s) (alphabet/script) is Icelandic?\nA: SELECT Country ( exonym ) FROM 1-1008653-9 WHERE Official or native language(s) (alphabet/script) = 'Icelandic'"}
+{"text": "table: 1-1008653-9\ncolumns: Country ( exonym ), Capital ( exonym ), Country ( endonym ), Capital ( endonym ), Official or native language(s) (alphabet/script)\nQ: In which country (endonym) is Irish English the official or native language(s) (alphabet/script)?\nA: SELECT Country ( endonym ) FROM 1-1008653-9 WHERE Official or native language(s) (alphabet/script) = 'Irish English'"}
+{"text": "table: 1-1008653-9\ncolumns: Country ( exonym ), Capital ( exonym ), Country ( endonym ), Capital ( endonym ), Official or native language(s) (alphabet/script)\nQ: Which country (exonym) is the country (endonym) isle of man ellan vannin?\nA: SELECT Country ( exonym ) FROM 1-1008653-9 WHERE Country ( endonym ) = 'Isle of Man Ellan Vannin'"}
+{"text": "table: 1-1009087-1\ncolumns: Season, Network, Season premiere, Season finale, TV season, Ranking, Viewers (in millions)\nQ: The season premiere aired on September 11, 2000 aired on how many networks? \nA: SELECT COUNT Network FROM 1-1009087-1 WHERE Season premiere = 'September 11, 2000'"}
+{"text": "table: 1-1009087-1\ncolumns: Season, Network, Season premiere, Season finale, TV season, Ranking, Viewers (in millions)\nQ: What was the ranking of the season finale aired on May 8, 2006? \nA: SELECT Ranking FROM 1-1009087-1 WHERE Season finale = 'May 8, 2006'"}
+{"text": "table: 1-1011906-1\ncolumns: Regional County Municipality (RCM), Population Canada 2011 Census, Land Area, Density (pop. per km2), Seat of RCM\nQ: what is the minimum\u00a0population canada 2011 census\u00a0with\u00a0seat of rcm\u00a0being cowansville\nA: SELECT MIN Population Canada 2011 Census FROM 1-1011906-1 WHERE Seat of RCM = 'Cowansville'"}
+{"text": "table: 1-1011906-1\ncolumns: Regional County Municipality (RCM), Population Canada 2011 Census, Land Area, Density (pop. per km2), Seat of RCM\nQ: what's the\u00a0land area\u00a0with\u00a0seat of rcm\u00a0being granby\nA: SELECT Land Area FROM 1-1011906-1 WHERE Seat of RCM = 'Granby'"}
+{"text": "table: 1-101196-1\ncolumns: County, English name, Irish name, Population, Irish speakers\nQ: What is the population for County Mayo with the English Name Carrowteige?\nA: SELECT Population FROM 1-101196-1 WHERE County = 'County Mayo' AND English name = 'Carrowteige'"}
+{"text": "table: 1-101196-1\ncolumns: County, English name, Irish name, Population, Irish speakers\nQ: What is the Irish name listed with 62% Irish speakers?\nA: SELECT Irish name FROM 1-101196-1 WHERE Irish speakers = '62%'"}
+{"text": "table: 1-101196-1\ncolumns: County, English name, Irish name, Population, Irish speakers\nQ: What is the population for the Irish Name Leitir meall\u00e1in?\nA: SELECT Population FROM 1-101196-1 WHERE Irish name = 'Leitir Meall\u00e1in'"}
+{"text": "table: 1-101196-1\ncolumns: County, English name, Irish name, Population, Irish speakers\nQ: What is the county for the Irish name Carna?\nA: SELECT County FROM 1-101196-1 WHERE Irish name = 'Carna'"}
+{"text": "table: 1-101196-1\ncolumns: County, English name, Irish name, Population, Irish speakers\nQ: How many County Kerry have 53% Irish speakers?\nA: SELECT COUNT English name FROM 1-101196-1 WHERE Irish speakers = '53%' AND County = 'County Kerry'"}
+{"text": "table: 1-101196-1\ncolumns: County, English name, Irish name, Population, Irish speakers\nQ: What is the population for the English name Spiddal?\nA: SELECT Population FROM 1-101196-1 WHERE English name = 'Spiddal'"}
+{"text": "table: 1-10118412-6\ncolumns: State/Territory, Asian American Population (2010 Census), Chinese, Filipino, Indian, Japanese, Korean, Vietnamese, Other Asian\nQ: What is the the Chinese population for the state that has a Filipino population of 1474707?\nA: SELECT MIN Chinese FROM 1-10118412-6 WHERE Filipino = 1474707"}
+{"text": "table: 1-10118412-6\ncolumns: State/Territory, Asian American Population (2010 Census), Chinese, Filipino, Indian, Japanese, Korean, Vietnamese, Other Asian\nQ: How many States have an Indian population of 30947?\nA: SELECT COUNT Filipino FROM 1-10118412-6 WHERE Indian = 30947"}
+{"text": "table: 1-10118412-6\ncolumns: State/Territory, Asian American Population (2010 Census), Chinese, Filipino, Indian, Japanese, Korean, Vietnamese, Other Asian\nQ: What is the highest Indian population?\nA: SELECT MAX Indian FROM 1-10118412-6"}
+{"text": "table: 1-10121127-1\ncolumns: UN Operation name, UN Operation title, Location, Dates of Australian involvement, Number of Australians involved, Australian role\nQ: What is Australia's role in the UN operation Unama?\nA: SELECT Australian role FROM 1-10121127-1 WHERE UN Operation name = 'UNAMA'"}
+{"text": "table: 1-10121127-1\ncolumns: UN Operation name, UN Operation title, Location, Dates of Australian involvement, Number of Australians involved, Australian role\nQ: What is the UN operation title with the UN operation name, Uncok?\nA: SELECT UN Operation title FROM 1-10121127-1 WHERE UN Operation name = 'UNCOK'"}
+{"text": "table: 1-10121127-1\ncolumns: UN Operation name, UN Operation title, Location, Dates of Australian involvement, Number of Australians involved, Australian role\nQ: How many Australians were in the UN commission on Korea?\nA: SELECT COUNT Number of Australians involved FROM 1-10121127-1 WHERE UN Operation title = 'UN Commission on Korea'"}
+{"text": "table: 1-10121127-1\ncolumns: UN Operation name, UN Operation title, Location, Dates of Australian involvement, Number of Australians involved, Australian role\nQ: When was it where 65 Australians were involved in the UN?\nA: SELECT Dates of Australian involvement FROM 1-10121127-1 WHERE Number of Australians involved = '65'"}
+{"text": "table: 1-10120207-8\ncolumns: Season, Timeslot ( ET ), Season premiere, Season finale, TV season, Rank, Viewers (millions)\nQ: What year is the season with the 10.73 million views?\nA: SELECT TV season FROM 1-10120207-8 WHERE Viewers (millions) = '10.73'"}
+{"text": "table: 1-10120207-8\ncolumns: Season, Timeslot ( ET ), Season premiere, Season finale, TV season, Rank, Viewers (millions)\nQ: What is the season year where the rank is 39?\nA: SELECT TV season FROM 1-10120207-8 WHERE Rank = '39'"}
+{"text": "table: 1-10120207-8\ncolumns: Season, Timeslot ( ET ), Season premiere, Season finale, TV season, Rank, Viewers (millions)\nQ: What is the number of season premieres were 10.17 people watched?\nA: SELECT COUNT Season premiere FROM 1-10120207-8 WHERE Viewers (millions) = '10.17'"}
+{"text": "table: 1-10120207-8\ncolumns: Season, Timeslot ( ET ), Season premiere, Season finale, TV season, Rank, Viewers (millions)\nQ: What is the year of the season that was 12?\nA: SELECT TV season FROM 1-10120207-8 WHERE Season = 12"}
+{"text": "table: 1-1012730-1\ncolumns: Year, Starts, Wins, Top 5, Top 10, Poles, Avg. Start, Avg. Finish, Winnings, Position, Team(s)\nQ: In 2012 what was the average finish?\nA: SELECT Avg. Finish FROM 1-1012730-1 WHERE Year = 2012"}
+{"text": "table: 1-1012730-1\ncolumns: Year, Starts, Wins, Top 5, Top 10, Poles, Avg. Start, Avg. Finish, Winnings, Position, Team(s)\nQ: How many wins happened in 1983?\nA: SELECT MIN Wins FROM 1-1012730-1 WHERE Year = 1983"}
+{"text": "table: 1-1012730-1\ncolumns: Year, Starts, Wins, Top 5, Top 10, Poles, Avg. Start, Avg. Finish, Winnings, Position, Team(s)\nQ: How many top tens had an average start of 29.4?\nA: SELECT COUNT Top 10 FROM 1-1012730-1 WHERE Avg. Start = '29.4'"}
+{"text": "table: 1-1012730-1\ncolumns: Year, Starts, Wins, Top 5, Top 10, Poles, Avg. Start, Avg. Finish, Winnings, Position, Team(s)\nQ: How many poles had an average finish of 19.1?\nA: SELECT MAX Poles FROM 1-1012730-1 WHERE Avg. Finish = '19.1'"}
+{"text": "table: 1-1012730-1\ncolumns: Year, Starts, Wins, Top 5, Top 10, Poles, Avg. Start, Avg. Finish, Winnings, Position, Team(s)\nQ: How many starts did Hendrick motorsports have?\nA: SELECT MIN Starts FROM 1-1012730-1 WHERE Team(s) = 'Hendrick Motorsports'"}
+{"text": "table: 1-1013129-10\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: NHL players are all centre in Florida panthers.\nA: SELECT Player FROM 1-1013129-10 WHERE Position = 'Centre' AND NHL team = 'Florida Panthers'"}
+{"text": "table: 1-1013129-10\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: NHL team player San Jose Sharks is United States nationally.\nA: SELECT Player FROM 1-1013129-10 WHERE NHL team = 'San Jose Sharks' AND Nationality = 'United States'"}
+{"text": "table: 1-1013129-10\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: All players are position mark polak.\nA: SELECT Position FROM 1-1013129-10 WHERE Player = 'Mark Polak'"}
+{"text": "table: 1-1013129-10\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: Position in nhl team centre are all smaller pick than 243.0\nA: SELECT NHL team FROM 1-1013129-10 WHERE Position = 'Centre' AND Pick < 243.0"}
+{"text": "table: 1-1013129-11\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What college/junior/club teams do the players from the St. Louis Blues come from?\nA: SELECT College/junior/club team FROM 1-1013129-11 WHERE NHL team = 'St. Louis Blues'"}
+{"text": "table: 1-1013129-11\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What teams do the players from TPS (Finland) play for?\nA: SELECT NHL team FROM 1-1013129-11 WHERE College/junior/club team = 'TPS (Finland)'"}
+{"text": "table: 1-1013129-11\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What high school team did Doug Nolan play for?\nA: SELECT College/junior/club team FROM 1-1013129-11 WHERE Player = 'Doug Nolan'"}
+{"text": "table: 1-1013129-11\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What club team is Per Gustafsson play for?\nA: SELECT College/junior/club team FROM 1-1013129-11 WHERE Player = 'Per Gustafsson'"}
+{"text": "table: 1-1013129-11\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What is the nationality of Shayne Wright?\nA: SELECT Nationality FROM 1-1013129-11 WHERE Player = 'Shayne Wright'"}
+{"text": "table: 1-10128185-2\ncolumns: Song, Mobiles, Northern Ireland, Northern England, Scotland, Southern England, Wales, Total\nQ: How many votes did Southern England cast whilst Northern Ireland cast 3?\nA: SELECT Southern England FROM 1-10128185-2 WHERE Northern Ireland = 3"}
+{"text": "table: 1-10128185-2\ncolumns: Song, Mobiles, Northern Ireland, Northern England, Scotland, Southern England, Wales, Total\nQ: What was the lowest number of votes Scotland cast?\nA: SELECT MIN Scotland FROM 1-10128185-2"}
+{"text": "table: 1-10128185-2\ncolumns: Song, Mobiles, Northern Ireland, Northern England, Scotland, Southern England, Wales, Total\nQ: What is the total number of votes if Scotland cast 35?\nA: SELECT COUNT Scotland FROM 1-10128185-2 WHERE Total = 35"}
+{"text": "table: 1-10128185-2\ncolumns: Song, Mobiles, Northern Ireland, Northern England, Scotland, Southern England, Wales, Total\nQ: How many votes did Northern Ireland cast if the total was 35?\nA: SELECT Northern Ireland FROM 1-10128185-2 WHERE Total = 35"}
+{"text": "table: 1-10128185-2\ncolumns: Song, Mobiles, Northern Ireland, Northern England, Scotland, Southern England, Wales, Total\nQ: How many votes did Wales cast when Northern England cast 6?\nA: SELECT MIN Wales FROM 1-10128185-2 WHERE Northern England = 6"}
+{"text": "table: 1-1012730-2\ncolumns: Year, Starts, Wins, Top 5, Top 10, Poles, Avg. Start, Avg. Finish, Winnings, Position, Team(s)\nQ: What teams had 9 in the top 5 and 1 wins?\nA: SELECT Team(s) FROM 1-1012730-2 WHERE Top 5 = 9 AND Wins = 1"}
+{"text": "table: 1-1013129-1\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What teams did the player vadim sharifijanov play for?\nA: SELECT College/junior/club team FROM 1-1013129-1 WHERE Player = 'Vadim Sharifijanov'"}
+{"text": "table: 1-1013129-1\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What positions do the hartford whalers nhl team have?\nA: SELECT Position FROM 1-1013129-1 WHERE NHL team = 'Hartford Whalers'"}
+{"text": "table: 1-1013129-1\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What is the smallest pick for the player, brett lindros?\nA: SELECT MIN Pick FROM 1-1013129-1 WHERE Player = 'Brett Lindros'"}
+{"text": "table: 1-1013129-1\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What positions does the college/junior/club team, molot perm (russia) have?\nA: SELECT Position FROM 1-1013129-1 WHERE College/junior/club team = 'Molot Perm (Russia)'"}
+{"text": "table: 1-1013129-1\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: The nhl team new york islanders is what nationality?\nA: SELECT Nationality FROM 1-1013129-1 WHERE NHL team = 'New York Islanders'"}
+{"text": "table: 1-1013168-3\ncolumns: District, Vacator, Reason for change, Successor, Date successor seated\nQ: What is the name of the vacator for district Louisiana 1st?\nA: SELECT Vacator FROM 1-1013168-3 WHERE District = 'Louisiana 1st'"}
+{"text": "table: 1-101336-1\ncolumns: Formula, Notation, T c (K), No. of Cu-O planes in unit cell, Crystal structure\nQ: What is the notion when the crystal structure is tetragonal and the formula is bi 2 sr 2 cacu 2 o 8\nA: SELECT Notation FROM 1-101336-1 WHERE Crystal structure = 'Tetragonal' AND Formula = 'Bi 2 Sr 2 CaCu 2 O 8'"}
+{"text": "table: 1-101336-1\ncolumns: Formula, Notation, T c (K), No. of Cu-O planes in unit cell, Crystal structure\nQ: How many times is the formula tl 2 ba 2 cuo 6?\nA: SELECT No. of Cu-O planes in unit cell FROM 1-101336-1 WHERE Formula = 'Tl 2 Ba 2 CuO 6'"}
+{"text": "table: 1-101336-1\ncolumns: Formula, Notation, T c (K), No. of Cu-O planes in unit cell, Crystal structure\nQ: What is the crystal structure for the formula yba 2 cu 3 o 7?\nA: SELECT Crystal structure FROM 1-101336-1 WHERE Formula = 'YBa 2 Cu 3 O 7'"}
+{"text": "table: 1-101336-1\ncolumns: Formula, Notation, T c (K), No. of Cu-O planes in unit cell, Crystal structure\nQ: What is the number for t c (k) when the notation is tl-2212?\nA: SELECT COUNT T c (K) FROM 1-101336-1 WHERE Notation = 'Tl-2212'"}
+{"text": "table: 1-10138926-1\ncolumns: #, City, 1981 Census, 1991 Census, 2001 Census, 2010 Est., Region\nQ: How many 2010 estimations have been done in the city of Cremona?\nA: SELECT COUNT 2010 Est. FROM 1-10138926-1 WHERE City = 'Cremona'"}
+{"text": "table: 1-10138926-1\ncolumns: #, City, 1981 Census, 1991 Census, 2001 Census, 2010 Est., Region\nQ: What's the 2001 census of the region of Abruzzo where the 1871 census is bigger than 51092.0?\nA: SELECT MIN 2001 Census FROM 1-10138926-1 WHERE Region = 'Abruzzo' AND 1981 Census > 51092.0"}
+{"text": "table: 1-10138926-1\ncolumns: #, City, 1981 Census, 1991 Census, 2001 Census, 2010 Est., Region\nQ: What's the 1991 census of the city of Carpi?\nA: SELECT MAX 1991 Census FROM 1-10138926-1 WHERE City = 'Carpi'"}
+{"text": "table: 1-10138926-1\ncolumns: #, City, 1981 Census, 1991 Census, 2001 Census, 2010 Est., Region\nQ: How many 2001 censuses are there on number 13?\nA: SELECT COUNT 2001 Census FROM 1-10138926-1 WHERE # = 13"}
+{"text": "table: 1-10138926-1\ncolumns: #, City, 1981 Census, 1991 Census, 2001 Census, 2010 Est., Region\nQ: What's the 1981 census of Livorno?\nA: SELECT 1981 Census FROM 1-10138926-1 WHERE City = 'Livorno'"}
+{"text": "table: 1-1013129-8\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: Which NHL team has player Mike Loach?\nA: SELECT NHL team FROM 1-1013129-8 WHERE Player = 'Mike Loach'"}
+{"text": "table: 1-1013129-8\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What is the NHL team that has Peter Strom?\nA: SELECT NHL team FROM 1-1013129-8 WHERE Player = 'Peter Strom'"}
+{"text": "table: 1-1013129-8\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: What team is Keith Mccambridge on?\nA: SELECT College/junior/club team FROM 1-1013129-8 WHERE Player = 'Keith McCambridge'"}
+{"text": "table: 1-1013129-8\ncolumns: Pick, Player, Position, Nationality, NHL team, College/junior/club team\nQ: How many nationalities are the pick 193?\nA: SELECT COUNT Nationality FROM 1-1013129-8 WHERE Pick = 193"}
+{"text": "table: 1-1013168-2\ncolumns: State (class), Vacator, Reason for change, Successor, Date of successors formal installation\nQ: Who was the succesor that was formally installed on November 8, 1978?\nA: SELECT Successor FROM 1-1013168-2 WHERE Date of successors formal installation = 'November 8, 1978'"}
+{"text": "table: 1-1014319-1\ncolumns: Week, Dance/song, Horwood, Goodman, Dixon, Tonioli, Total, Result\nQ: How many songs received a 10 from Goodman and were rated by Tonioli?\nA: SELECT COUNT Tonioli FROM 1-1014319-1 WHERE Goodman = '10'"}
+{"text": "table: 1-1014319-1\ncolumns: Week, Dance/song, Horwood, Goodman, Dixon, Tonioli, Total, Result\nQ: What score did Goodman give to all songs with safe results, which received a 7 from Horwood and have a total score of 31?\nA: SELECT Goodman FROM 1-1014319-1 WHERE Total = '31' AND Horwood = '7' AND Result = 'Safe'"}
+{"text": "table: 1-1014319-1\ncolumns: Week, Dance/song, Horwood, Goodman, Dixon, Tonioli, Total, Result\nQ: What score did Dixon give to the song \"samba / young hearts run free\", which was in second place?\nA: SELECT Dixon FROM 1-1014319-1 WHERE Dance/song = 'Samba / Young Hearts Run Free' AND Result = 'Second place'"}
+{"text": "table: 1-1014319-1\ncolumns: Week, Dance/song, Horwood, Goodman, Dixon, Tonioli, Total, Result\nQ: How many scores did Goodman give to \"samba / young hearts run free\", which was in second place?\nA: SELECT COUNT Goodman FROM 1-1014319-1 WHERE Result = 'Second place' AND Dance/song = 'Samba / Young Hearts Run Free'"}
+{"text": "table: 1-1015421-1\ncolumns: Class, Operator, No. Built, Year Built, Cars per Set, Unit nos.\nQ: What year was number 7 built?\nA: SELECT Year Built FROM 1-1015421-1 WHERE No. Built = 7"}
+{"text": "table: 1-1015914-24\ncolumns: Case/Suffix, we two, you and I, you two, them two (the two), who-two\nQ: What is we two when the case/suffix is loc.?\nA: SELECT we two FROM 1-1015914-24 WHERE Case/Suffix = 'loc.'"}
+{"text": "table: 1-1015914-24\ncolumns: Case/Suffix, we two, you and I, you two, them two (the two), who-two\nQ: What is them two (the two) when we two is ngalbelpa?\nA: SELECT them two (the two) FROM 1-1015914-24 WHERE we two = 'ngalbelpa'"}
+{"text": "table: 1-1015914-24\ncolumns: Case/Suffix, we two, you and I, you two, them two (the two), who-two\nQ: What is them two (the two) when you and i is ng\u0153balngu?\nA: SELECT them two (the two) FROM 1-1015914-24 WHERE you and I = 'ng\u0153balngu'"}
+{"text": "table: 1-1015914-24\ncolumns: Case/Suffix, we two, you and I, you two, them two (the two), who-two\nQ: What is who-two where you and i is ng\u0153ban?\nA: SELECT who-two FROM 1-1015914-24 WHERE you and I = 'ng\u0153ban'"}
+{"text": "table: 1-1015914-24\ncolumns: Case/Suffix, we two, you and I, you two, them two (the two), who-two\nQ: What is we two where you two is ngipen?\nA: SELECT we two FROM 1-1015914-24 WHERE you two = 'ngipen'"}
+{"text": "table: 1-1015914-24\ncolumns: Case/Suffix, we two, you and I, you two, them two (the two), who-two\nQ: What is who-two when you two is ngipelngu?\nA: SELECT who-two FROM 1-1015914-24 WHERE you two = 'ngipelngu'"}
+{"text": "table: 1-10160447-1\ncolumns: Position, Driver, Points, Winnings, Series\nQ: what's the\u00a0points\u00a0with\u00a0driver\u00a0 mark martin\nA: SELECT Points FROM 1-10160447-1 WHERE Driver = 'Mark Martin'"}
+{"text": "table: 1-10160447-1\ncolumns: Position, Driver, Points, Winnings, Series\nQ: what's the\u00a0points\u00a0with\u00a0driver\u00a0 rusty wallace\nA: SELECT Points FROM 1-10160447-1 WHERE Driver = 'Rusty Wallace'"}
+{"text": "table: 1-10160447-1\ncolumns: Position, Driver, Points, Winnings, Series\nQ: what's the total number of\u00a0position\u00a0with\u00a0driver\u00a0 robby gordon\nA: SELECT COUNT Position FROM 1-10160447-1 WHERE Driver = 'Robby Gordon'"}
+{"text": "table: 1-10160447-1\ncolumns: Position, Driver, Points, Winnings, Series\nQ: what's the maximum\u00a0position\u00a0with\u00a0winnings\u00a0 $50,000\nA: SELECT MAX Position FROM 1-10160447-1 WHERE Winnings = '$50,000'"}
+{"text": "table: 1-10236830-6\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: What actor was nominted for an award in the film Anastasiya Slutskaya?\nA: SELECT Actors Name FROM 1-10236830-6 WHERE Film Name = 'Anastasiya Slutskaya'"}
+{"text": "table: 1-10236830-6\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: What was the film Falling up nominated for?\nA: SELECT Nomination FROM 1-10236830-6 WHERE Film Name = 'Falling Up'"}
+{"text": "table: 1-10236830-6\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: What is the name of the actress that was nominated for best actress in a leading role in the film Chopin: Desire for love?\nA: SELECT Actors Name FROM 1-10236830-6 WHERE Film Name = 'Chopin: Desire for Love' AND Nomination = 'Best Actress in a Leading Role'"}
+{"text": "table: 1-10236830-6\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: What is the name of the actress that was nominated for best actress in a leading role in the film Chopin: Desire for love?\nA: SELECT Actors Name FROM 1-10236830-6 WHERE Film Name = 'Chopin: Desire for Love' AND Nomination = 'Best Actress in a Leading Role'"}
+{"text": "table: 1-10236830-6\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: Which films does the actor Alla Sergiyko star in?\nA: SELECT Film Name FROM 1-10236830-6 WHERE Actors Name = 'Alla Sergiyko'"}
+{"text": "table: 1-10236830-6\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: Which nominations was the film 27 Stolen Kisses nominated for?\nA: SELECT Nomination FROM 1-10236830-6 WHERE Film Name = '27 Stolen Kisses'"}
+{"text": "table: 1-10236830-4\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: Which actor from Serbia was nominated for best actor in a supporting role?\nA: SELECT Actors Name FROM 1-10236830-4 WHERE Nomination = 'Best Actor in a Supporting Role' AND Country = 'Serbia'"}
+{"text": "table: 1-10236830-4\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: Vsevolod Shilovskiy is from what country?\nA: SELECT Country FROM 1-10236830-4 WHERE Actors Name = 'Vsevolod Shilovskiy'"}
+{"text": "table: 1-10236830-4\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: Which nominations are connected to the film Totalitarian Romance?\nA: SELECT Nomination FROM 1-10236830-4 WHERE Film Name = 'Totalitarian Romance'"}
+{"text": "table: 1-10236830-4\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: Srdjan Dragojevic worked on a film which earned what nomination?\nA: SELECT Nomination FROM 1-10236830-4 WHERE Director = 'Srdjan Dragojevic'"}
+{"text": "table: 1-10236830-4\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: Which actors are from Ukraine?\nA: SELECT Actors Name FROM 1-10236830-4 WHERE Country = 'Ukraine'"}
+{"text": "table: 1-10236830-1\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: What was the film that vadim ilyenko directed?\nA: SELECT Film Name FROM 1-10236830-1 WHERE Director = 'Vadim Ilyenko'"}
+{"text": "table: 1-10236830-1\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: What was the actors name that vadim ilyenko directed?\nA: SELECT Actors Name FROM 1-10236830-1 WHERE Director = 'Vadim Ilyenko'"}
+{"text": "table: 1-10236830-1\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: What was the actors name for fuchzhou and nomination was best non-professional actor?\nA: SELECT Actors Name FROM 1-10236830-1 WHERE Film Name = 'Fuchzhou' AND Nomination = 'Best Non-Professional Actor'"}
+{"text": "table: 1-10236830-1\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: What film did michaylo ilyenko make with best actor in a supporting role?\nA: SELECT Film Name FROM 1-10236830-1 WHERE Director = 'Michaylo Ilyenko' AND Nomination = 'Best Actor in a Supporting Role'"}
+{"text": "table: 1-10236830-1\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: What was the actor's name for best debut?\nA: SELECT Actors Name FROM 1-10236830-1 WHERE Nomination = 'Best Debut'"}
+{"text": "table: 1-10236830-1\ncolumns: Nomination, Actors Name, Film Name, Director, Country\nQ: What was the number of nominations for natalia raskokoha?\nA: SELECT COUNT Nomination FROM 1-10236830-1 WHERE Actors Name = 'Natalia Raskokoha'"}
+{"text": "table: 1-10240125-1\ncolumns: Season, Division, League Apps, League Goals, FA Cup Apps, FA Cup Goals, Total Apps, Total Goals\nQ: What is the highest value of Total Goals?\nA: SELECT MAX Total Goals FROM 1-10240125-1"}
+{"text": "table: 1-10240125-1\ncolumns: Season, Division, League Apps, League Goals, FA Cup Apps, FA Cup Goals, Total Apps, Total Goals\nQ: When FA Cup Apps is 9 what is the smallest number of FA Cup Goals?\nA: SELECT MIN FA Cup Goals FROM 1-10240125-1 WHERE FA Cup Apps = 9"}
+{"text": "table: 1-10240125-1\ncolumns: Season, Division, League Apps, League Goals, FA Cup Apps, FA Cup Goals, Total Apps, Total Goals\nQ: What is the smallest number of Total Goals?\nA: SELECT MIN Total Goals FROM 1-10240125-1"}
+{"text": "table: 1-10264179-2\ncolumns: Round, Circuit, Date, Pole Position, Fastest Lap, Winning Driver, Winning Team\nQ: What circuit was the race where Hideki Mutoh had the fastest lap?\nA: SELECT Circuit FROM 1-10264179-2 WHERE Fastest Lap = 'Hideki Mutoh'"}
+{"text": "table: 1-10269427-3\ncolumns: Episode #, Production code, Title, Directed by, Written by, Airdate\nQ: what is the minimum production code with title \"foreign exchange problem / turn about\"\nA: SELECT MIN Production code FROM 1-10269427-3 WHERE Title = '\"Foreign Exchange Problem / Turn About\"'"}
+{"text": "table: 1-10269427-3\ncolumns: Episode #, Production code, Title, Directed by, Written by, Airdate\nQ: what is the episode # for title \"the yindianapolis 500 / personality problem\"\nA: SELECT Episode # FROM 1-10269427-3 WHERE Title = '\"The Yindianapolis 500 / Personality Problem\"'"}
+{"text": "table: 1-10269427-3\ncolumns: Episode #, Production code, Title, Directed by, Written by, Airdate\nQ: what is the episode # for production code 227\nA: SELECT Episode # FROM 1-10269427-3 WHERE Production code = 227"}
+{"text": "table: 1-10269427-3\ncolumns: Episode #, Production code, Title, Directed by, Written by, Airdate\nQ: who directed the movie written by is sib ventress / aydrea ten bosch\nA: SELECT Directed by FROM 1-10269427-3 WHERE Written by = 'Sib Ventress / Aydrea ten Bosch'"}
+{"text": "table: 1-10269427-3\ncolumns: Episode #, Production code, Title, Directed by, Written by, Airdate\nQ: what is the production code with title \"skirting the issue / moon over my yinnie\"\nA: SELECT Production code FROM 1-10269427-3 WHERE Title = '\"Skirting the Issue / Moon Over my Yinnie\"'"}
+{"text": "table: 1-10240125-2\ncolumns: Season, Division, League Apps, League Goals, FA Cup Apps, FA Cup Goals, Total Apps, Total Goals\nQ: Whatis the number of total goals maximum?\nA: SELECT MAX Total Goals FROM 1-10240125-2"}
+{"text": "table: 1-10262329-1\ncolumns: Assembly Type, Adhesive Type, Time(Sec), Temp (\u00b0C), Pressure\nQ: HOW MANY TEMPERATURE INTERVALS ARE POSSIBLE TO USE WITH ACRYL? \nA: SELECT COUNT Temp (\u00b0C) FROM 1-10262329-1 WHERE Adhesive Type = 'Acryl'"}
+{"text": "table: 1-1028356-3\ncolumns: Outcome, Year, Championship, Surface, Partner, Opponents, Score\nQ: How many matches where played with Jim Pugh?\nA: SELECT COUNT Opponents FROM 1-1028356-3 WHERE Partner = 'Jim Pugh'"}
+{"text": "table: 1-1028356-3\ncolumns: Outcome, Year, Championship, Surface, Partner, Opponents, Score\nQ: What is the score with partner Jim Pugh?\nA: SELECT Score FROM 1-1028356-3 WHERE Partner = 'Jim Pugh'"}
+{"text": "table: 1-1028356-3\ncolumns: Outcome, Year, Championship, Surface, Partner, Opponents, Score\nQ: How many matched scored 3\u20136, 7\u20136(5), 6\u20133?\nA: SELECT COUNT Surface FROM 1-1028356-3 WHERE Score = '3\u20136, 7\u20136(5), 6\u20133'"}
+{"text": "table: 1-1028356-3\ncolumns: Outcome, Year, Championship, Surface, Partner, Opponents, Score\nQ: What is the score of the match with partner Jim Pugh?\nA: SELECT Score FROM 1-1028356-3 WHERE Partner = 'Jim Pugh'"}
+{"text": "table: 1-1028356-3\ncolumns: Outcome, Year, Championship, Surface, Partner, Opponents, Score\nQ: What year was the championship in Wimbledon (2)?\nA: SELECT Year FROM 1-1028356-3 WHERE Championship = 'Wimbledon (2)'"}
+{"text": "table: 1-1028356-3\ncolumns: Outcome, Year, Championship, Surface, Partner, Opponents, Score\nQ: What is the score of the match with opponents Gretchen Magers Kelly Jones?\nA: SELECT Score FROM 1-1028356-3 WHERE Opponents = 'Gretchen Magers Kelly Jones'"}
+{"text": "table: 1-10284385-1\ncolumns: Begin Date, End Date, Representative, Date of birth, House term, State served, Party, Age (years, days)\nQ: How many birthdays does Earl Hanley Beshlin have?\nA: SELECT COUNT Date of birth FROM 1-10284385-1 WHERE Representative = 'Earl Hanley Beshlin'"}
+{"text": "table: 1-10284385-1\ncolumns: Begin Date, End Date, Representative, Date of birth, House term, State served, Party, Age (years, days)\nQ: Which politican party has a birthday of November 10, 1880\nA: SELECT Party FROM 1-10284385-1 WHERE Date of birth = 'November 10, 1880'"}
+{"text": "table: 1-10284385-1\ncolumns: Begin Date, End Date, Representative, Date of birth, House term, State served, Party, Age (years, days)\nQ: Which representative has a birthday of January 31, 1866?\nA: SELECT Representative FROM 1-10284385-1 WHERE Date of birth = 'January 31, 1866'"}
+{"text": "table: 1-10295819-1\ncolumns: Player, Current singles ranking, Current doubles ranking, First year played, Ties played, Total W\u2013L, Singles W\u2013L, Doubles W\u2013L\nQ: What is the Singles W-L for the players named  Laurynas Grigelis?\nA: SELECT Singles W\u2013L FROM 1-10295819-1 WHERE Player = 'Laurynas Grigelis'"}
+{"text": "table: 1-10295819-1\ncolumns: Player, Current singles ranking, Current doubles ranking, First year played, Ties played, Total W\u2013L, Singles W\u2013L, Doubles W\u2013L\nQ: What is the Current singles ranking for the player named Mantas Bugaili\u0161kis?\nA: SELECT Current singles ranking FROM 1-10295819-1 WHERE Player = 'Mantas Bugaili\u0161kis'"}
+{"text": "table: 1-10312547-1\ncolumns: Character, 1954 Broadway, 1955 broadcast, 1960 broadcast, 1979 Broadway, 1990 Broadway, 1991 Broadway, 1998 Broadway, 1999 Broadway\nQ: How many playerd Mrs. Darling in the 1999 Broadway?\nA: SELECT COUNT 1999 Broadway FROM 1-10312547-1 WHERE Character = 'Mrs. Darling'"}
+{"text": "table: 1-10312547-1\ncolumns: Character, 1954 Broadway, 1955 broadcast, 1960 broadcast, 1979 Broadway, 1990 Broadway, 1991 Broadway, 1998 Broadway, 1999 Broadway\nQ: Who played Peter Pan in the 1990 Broadway?\nA: SELECT 1990 Broadway FROM 1-10312547-1 WHERE Character = 'Peter Pan'"}
+{"text": "table: 1-10312547-1\ncolumns: Character, 1954 Broadway, 1955 broadcast, 1960 broadcast, 1979 Broadway, 1990 Broadway, 1991 Broadway, 1998 Broadway, 1999 Broadway\nQ: Who played in the 1991 Broadway before Barbara McCulloh played the part in the 1999 Broadway?\nA: SELECT 1991 Broadway FROM 1-10312547-1 WHERE 1999 Broadway = 'Barbara McCulloh'"}
+{"text": "table: 1-10312547-1\ncolumns: Character, 1954 Broadway, 1955 broadcast, 1960 broadcast, 1979 Broadway, 1990 Broadway, 1991 Broadway, 1998 Broadway, 1999 Broadway\nQ: Who played in the 1990 Broadway after Tom Halloran played the character in the 1955 Broadcast?\nA: SELECT 1990 Broadway FROM 1-10312547-1 WHERE 1955 broadcast = 'Tom Halloran'"}
+{"text": "table: 1-10312547-1\ncolumns: Character, 1954 Broadway, 1955 broadcast, 1960 broadcast, 1979 Broadway, 1990 Broadway, 1991 Broadway, 1998 Broadway, 1999 Broadway\nQ: What character did Drake English play in the 1998 Broadway?\nA: SELECT Character FROM 1-10312547-1 WHERE 1998 Broadway = 'Drake English'"}
+{"text": "table: 1-103084-4\ncolumns: Year, Broadcast date, BBC One total viewing, BBC One Rank, BBC Two total viewing, BBC Two Rank\nQ: What date was BBC One total viewing greater then 11616996.338225884?\nA: SELECT Broadcast date FROM 1-103084-4 WHERE BBC One total viewing > 11616996.338225884"}
+{"text": "table: 1-103084-4\ncolumns: Year, Broadcast date, BBC One total viewing, BBC One Rank, BBC Two total viewing, BBC Two Rank\nQ: How many years did BBC One rank 20th?\nA: SELECT COUNT Year FROM 1-103084-4 WHERE BBC One Rank = '20th'"}
+{"text": "table: 1-103084-4\ncolumns: Year, Broadcast date, BBC One total viewing, BBC One Rank, BBC Two total viewing, BBC Two Rank\nQ: What year was the BBC two total viewing 7,530,000?\nA: SELECT MIN Year FROM 1-103084-4 WHERE BBC Two total viewing = '7,530,000'"}
+{"text": "table: 1-10321124-1\ncolumns: \u2193 Function / Genus \u2192, Shigella, Salmonella, Yersinia, Escherichia\nQ:  how many\u00a0\u2193 function / genus \u2192\u00a0with\u00a0escherichia\u00a0being espd\nA: SELECT COUNT \u2193 Function / Genus \u2192 FROM 1-10321124-1 WHERE Escherichia = 'EspD'"}
+{"text": "table: 1-10321124-1\ncolumns: \u2193 Function / Genus \u2192, Shigella, Salmonella, Yersinia, Escherichia\nQ: what's the\u00a0salmonella\u00a0with\u00a0escherichia\u00a0being espd\nA: SELECT Salmonella FROM 1-10321124-1 WHERE Escherichia = 'EspD'"}
+{"text": "table: 1-10321124-1\ncolumns: \u2193 Function / Genus \u2192, Shigella, Salmonella, Yersinia, Escherichia\nQ: what's the\u00a0\u2193 function / genus \u2192\u00a0with\u00a0shigella\u00a0being spa32\nA: SELECT \u2193 Function / Genus \u2192 FROM 1-10321124-1 WHERE Shigella = 'Spa32'"}
+{"text": "table: 1-10321124-1\ncolumns: \u2193 Function / Genus \u2192, Shigella, Salmonella, Yersinia, Escherichia\nQ: what's the\u00a0salmonella\u00a0with\u00a0shigella\u00a0being ipgc\nA: SELECT Salmonella FROM 1-10321124-1 WHERE Shigella = 'IpgC'"}
+{"text": "table: 1-10321124-1\ncolumns: \u2193 Function / Genus \u2192, Shigella, Salmonella, Yersinia, Escherichia\nQ: what's the\u00a0salmonella\u00a0with\u00a0escherichia\u00a0being sepb (escn)\nA: SELECT Salmonella FROM 1-10321124-1 WHERE Escherichia = 'SepB (EscN)'"}
+{"text": "table: 1-10321124-1\ncolumns: \u2193 Function / Genus \u2192, Shigella, Salmonella, Yersinia, Escherichia\nQ: what's the\u00a0shigella\u00a0with\u00a0yersinia\u00a0being yscp\nA: SELECT Shigella FROM 1-10321124-1 WHERE Yersinia = 'YscP'"}
+{"text": "table: 1-10321805-1\ncolumns: Year (Ceremony), Film title used in nomination, Original title, Director, Result\nQ: How many original titles did Marriage Italian-Style have? \nA: SELECT COUNT Original title FROM 1-10321805-1 WHERE Film title used in nomination = 'Marriage Italian-Style'"}
+{"text": "table: 1-10321805-1\ncolumns: Year (Ceremony), Film title used in nomination, Original title, Director, Result\nQ: What year was a movie with the original title La Leggenda del Santo Bevitore submitted?\nA: SELECT Year (Ceremony) FROM 1-10321805-1 WHERE Original title = 'La leggenda del santo bevitore'"}
+{"text": "table: 1-10335-1\ncolumns: Camp, Estimated deaths, Operational, Occupied territory, Current country of location, Primary means for mass killings\nQ: what's the\u00a0camp\u00a0with\u00a0estimated deaths\u00a0of 600,000\nA: SELECT Camp FROM 1-10335-1 WHERE Estimated deaths = '600,000'"}
+{"text": "table: 1-10335-1\ncolumns: Camp, Estimated deaths, Operational, Occupied territory, Current country of location, Primary means for mass killings\nQ: what's the\u00a0operational period\u00a0with\u00a0camp\u00a0 sajmi\u0161te\nA: SELECT Operational FROM 1-10335-1 WHERE Camp = 'Sajmi\u0161te'"}
+{"text": "table: 1-10335-1\ncolumns: Camp, Estimated deaths, Operational, Occupied territory, Current country of location, Primary means for mass killings\nQ: what's the\u00a0estimated deaths\u00a0with\u00a0operational period\u00a0of 17 march 1942 \u2013 end of june 1943\nA: SELECT Estimated deaths FROM 1-10335-1 WHERE Operational = '17 March 1942 \u2013 end of June 1943'"}
+{"text": "table: 1-10335-1\ncolumns: Camp, Estimated deaths, Operational, Occupied territory, Current country of location, Primary means for mass killings\nQ: what's the\u00a0current country of location\u00a0with\u00a0operational period\u00a0\u00a0of summer of 1941 to 28 june 1944\nA: SELECT Current country of location FROM 1-10335-1 WHERE Operational = 'Summer of 1941 to 28 June 1944'"}
+{"text": "table: 1-10335-1\ncolumns: Camp, Estimated deaths, Operational, Occupied territory, Current country of location, Primary means for mass killings\nQ: what's the\u00a0occupied territory\u00a0with\u00a0estimated deaths\u00a0of 600,000\nA: SELECT Occupied territory FROM 1-10335-1 WHERE Estimated deaths = '600,000'"}
+{"text": "table: 1-10335-1\ncolumns: Camp, Estimated deaths, Operational, Occupied territory, Current country of location, Primary means for mass killings\nQ: what's the\u00a0occupied territory\u00a0with\u00a0operational\u00a0period of may 1940 \u2013 january 1945\nA: SELECT Occupied territory FROM 1-10335-1 WHERE Operational = 'May 1940 \u2013 January 1945'"}
+{"text": "table: 1-10360823-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: Which overall pick was traded to the Cleveland Browns?\nA: SELECT Overall FROM 1-10360823-1 WHERE College = 'Traded to the Cleveland Browns'"}
+{"text": "table: 1-10360823-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: Overall pick 240 was a pick in which round?\nA: SELECT Round FROM 1-10360823-1 WHERE Overall = 240"}
+{"text": "table: 1-10360823-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: Which overall pick number went to college at Youngstown State?\nA: SELECT MIN Overall FROM 1-10360823-1 WHERE College = 'Youngstown State'"}
+{"text": "table: 1-10360823-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: What position is played by pick 255 overall?\nA: SELECT Position FROM 1-10360823-1 WHERE Overall = 255"}
+{"text": "table: 1-10360823-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: Which player was chosen in round 17?\nA: SELECT Player name FROM 1-10360823-1 WHERE Round = 17"}
+{"text": "table: 1-10361453-2\ncolumns: Game, Date, Opponent, Result, Vikings points, Opponents, Record, Attendance\nQ: The record of 7-3 had the largest attendance of what?\nA: SELECT MAX Attendance FROM 1-10361453-2 WHERE Record = '7-3'"}
+{"text": "table: 1-10361453-2\ncolumns: Game, Date, Opponent, Result, Vikings points, Opponents, Record, Attendance\nQ: The record of 9-4 was against which opponent?\nA: SELECT Opponent FROM 1-10361453-2 WHERE Record = '9-4'"}
+{"text": "table: 1-10361453-2\ncolumns: Game, Date, Opponent, Result, Vikings points, Opponents, Record, Attendance\nQ: The game number of 8 had a record of what?\nA: SELECT Record FROM 1-10361453-2 WHERE Game = 8"}
+{"text": "table: 1-10360656-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: What round was Steve Stonebreaker drafted?\nA: SELECT MAX Round FROM 1-10360656-1 WHERE Player name = 'Steve Stonebreaker'"}
+{"text": "table: 1-10360656-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: Who was the top picki n the draft?\nA: SELECT MIN Choice FROM 1-10360656-1"}
+{"text": "table: 1-10360656-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: What round was Bill Hill drafted?\nA: SELECT Choice FROM 1-10360656-1 WHERE Player name = 'Bill Hill'"}
+{"text": "table: 1-10360656-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: What was the name of the quarterback drafted?\nA: SELECT Player name FROM 1-10360656-1 WHERE Position = 'Quarterback'"}
+{"text": "table: 1-10361625-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: Where is the college where Keith Hartwig plays?\nA: SELECT College FROM 1-10361625-1 WHERE Player name = 'Keith Hartwig'"}
+{"text": "table: 1-10361625-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: What is the name of the linebacker at Illinois college?\nA: SELECT Player name FROM 1-10361625-1 WHERE Position = 'Linebacker' AND College = 'Illinois'"}
+{"text": "table: 1-10361625-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: What is the greatest round of overall 83?\nA: SELECT MAX Round FROM 1-10361625-1 WHERE Overall = 83"}
+{"text": "table: 1-10361625-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: Which round did Tommy Kramer play in>\nA: SELECT Round FROM 1-10361625-1 WHERE Player name = 'Tommy Kramer'"}
+{"text": "table: 1-10361625-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: What is Rice's collage score?\nA: SELECT Overall FROM 1-10361625-1 WHERE College = 'Rice'"}
+{"text": "table: 1-10361230-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: Where does the defensive back position appear first?\nA: SELECT MIN Round FROM 1-10361230-1 WHERE Position = 'Defensive Back'"}
+{"text": "table: 1-10361230-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: What is Bruce Cerone overall?\nA: SELECT MIN Overall FROM 1-10361230-1 WHERE Player name = 'Bruce Cerone'"}
+{"text": "table: 1-10361230-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: Which player went to Emporia State?\nA: SELECT Player name FROM 1-10361230-1 WHERE College = 'Emporia State'"}
+{"text": "table: 1-10361230-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: What is the highest choice?\nA: SELECT MAX Choice FROM 1-10361230-1"}
+{"text": "table: 1-10361230-1\ncolumns: Round, Choice, Overall, Player name, Position, College\nQ: What college did Bill Cappleman go to?\nA: SELECT College FROM 1-10361230-1 WHERE Player name = 'Bill Cappleman'"}
+{"text": "table: 1-1036189-1\ncolumns: Headstamp ID, Primer Annulus Color, Bullet Tip Color, Other Features, Functional Type\nQ: For the headstamp id of h2, what was the color of the bullet tip?\nA: SELECT Bullet Tip Color FROM 1-1036189-1 WHERE Headstamp ID = 'H2'"}
+{"text": "table: 1-1036189-1\ncolumns: Headstamp ID, Primer Annulus Color, Bullet Tip Color, Other Features, Functional Type\nQ: For the functional type of light ball, what were the other features?\nA: SELECT Other Features FROM 1-1036189-1 WHERE Functional Type = 'Light Ball'"}
+{"text": "table: 1-1036189-1\ncolumns: Headstamp ID, Primer Annulus Color, Bullet Tip Color, Other Features, Functional Type\nQ: How many primers annulus colors were there when the color of the bullet tip was white?\nA: SELECT COUNT Primer Annulus Color FROM 1-1036189-1 WHERE Bullet Tip Color = 'White'"}
+{"text": "table: 1-1036189-1\ncolumns: Headstamp ID, Primer Annulus Color, Bullet Tip Color, Other Features, Functional Type\nQ: How many bullet tips colors had other features of a blue band on case base?\nA: SELECT COUNT Bullet Tip Color FROM 1-1036189-1 WHERE Other Features = 'Blue band on case base'"}
+{"text": "table: 1-1037590-1\ncolumns: Year, Games, Games started, Completions, Attempts, Completion %, Yards, Yards/Attempt, Touchdowns, Interceptions, Rating\nQ: How many touchdowns were scored in the year with a completion percentage of 56.0?\nA: SELECT MIN Touchdowns FROM 1-1037590-1 WHERE Completion % = '56.0'"}
+{"text": "table: 1-1037590-1\ncolumns: Year, Games, Games started, Completions, Attempts, Completion %, Yards, Yards/Attempt, Touchdowns, Interceptions, Rating\nQ: What number of completions are recorded for the year with 12 games started?\nA: SELECT Completions FROM 1-1037590-1 WHERE Games started = 12"}
+{"text": "table: 1-1037590-1\ncolumns: Year, Games, Games started, Completions, Attempts, Completion %, Yards, Yards/Attempt, Touchdowns, Interceptions, Rating\nQ: How many years were there with 348 attempts?\nA: SELECT COUNT Yards FROM 1-1037590-1 WHERE Attempts = 348"}
+{"text": "table: 1-10402018-1\ncolumns: Character, Australia & New Zealand (Sydney - first run, Melbourne, Auckland), London, Toronto / Broadway, Brazil, UK Tour, US Tour, Italy (Milan, Rome, Trieste)\nQ: How many characters is by Babs Rubenstein?\nA: SELECT COUNT London FROM 1-10402018-1 WHERE US Tour = 'Babs Rubenstein'"}
+{"text": "table: 1-10402018-1\ncolumns: Character, Australia & New Zealand (Sydney - first run, Melbourne, Auckland), London, Toronto / Broadway, Brazil, UK Tour, US Tour, Italy (Milan, Rome, Trieste)\nQ: Which person is in the tronto/broadway and has a uk tour of n/a\nA: SELECT Toronto / Broadway FROM 1-10402018-1 WHERE UK Tour = 'n/a'"}
+{"text": "table: 1-10402018-1\ncolumns: Character, Australia & New Zealand (Sydney - first run, Melbourne, Auckland), London, Toronto / Broadway, Brazil, UK Tour, US Tour, Italy (Milan, Rome, Trieste)\nQ: How many people play Frank in London?\nA: SELECT COUNT London FROM 1-10402018-1 WHERE Character = 'Frank'"}
+{"text": "table: 1-10399701-2\ncolumns: School Year, Class A, Class AA, Class AAA, Class AAAA, Class AAAAA\nQ: Who was Class AAA during the school year of 2000-01?\nA: SELECT Class AAA FROM 1-10399701-2 WHERE School Year = '2000-01'"}
+{"text": "table: 1-10399701-2\ncolumns: School Year, Class A, Class AA, Class AAA, Class AAAA, Class AAAAA\nQ: Who was Class AAA during the same year that Class A was (tie) Apple Springs/Texline?\nA: SELECT Class AAA FROM 1-10399701-2 WHERE Class A = '(tie) Apple Springs/Texline'"}
+{"text": "table: 1-10399701-2\ncolumns: School Year, Class A, Class AA, Class AAA, Class AAAA, Class AAAAA\nQ: Who was Class AAAAA during the school year of 1995-96?\nA: SELECT Class AAAAA FROM 1-10399701-2 WHERE School Year = '1995-96'"}
+{"text": "table: 1-10399701-2\ncolumns: School Year, Class A, Class AA, Class AAA, Class AAAA, Class AAAAA\nQ: Who was Class AAA during the same year that Class AAAAA was Brownsville Pace?\nA: SELECT Class AAA FROM 1-10399701-2 WHERE Class AAAAA = 'Brownsville Pace'"}
+{"text": "table: 1-10399701-2\ncolumns: School Year, Class A, Class AA, Class AAA, Class AAAA, Class AAAAA\nQ: What was the total number of Class AAA during the same year that Class AAA was White Oak?\nA: SELECT COUNT Class AA FROM 1-10399701-2 WHERE Class AAA = 'White Oak'"}
+{"text": "table: 1-10392906-2\ncolumns: Week, Date, Kickoff, Opponent, Final score, Team record, Game site, Attendance\nQ: How many records are listed on Friday, May 25?\nA: SELECT COUNT Team record FROM 1-10392906-2 WHERE Date = 'Friday, May 25'"}
+{"text": "table: 1-10392906-2\ncolumns: Week, Date, Kickoff, Opponent, Final score, Team record, Game site, Attendance\nQ: How many opponents were played on Saturday, June 9?\nA: SELECT COUNT Opponent FROM 1-10392906-2 WHERE Date = 'Saturday, June 9'"}
+{"text": "table: 1-10392906-2\ncolumns: Week, Date, Kickoff, Opponent, Final score, Team record, Game site, Attendance\nQ: In what week was the first game played at the Commerzbank-Arena?\nA: SELECT MIN Week FROM 1-10392906-2 WHERE Game site = 'Commerzbank-Arena'"}
+{"text": "table: 1-10413597-5\ncolumns: No. in series, No. in season, Title, Setting, Directed by, Written by, U.S. viewers (million), Original air date\nQ: What was the original air date of an episode set in 1544?\nA: SELECT Original air date FROM 1-10413597-5 WHERE Setting = '1544'"}
+{"text": "table: 1-10413597-5\ncolumns: No. in series, No. in season, Title, Setting, Directed by, Written by, U.S. viewers (million), Original air date\nQ: How many settings where there for episode 29 of the season?\nA: SELECT COUNT Setting FROM 1-10413597-5 WHERE No. in series = 29"}
+{"text": "table: 1-10413597-5\ncolumns: No. in series, No. in season, Title, Setting, Directed by, Written by, U.S. viewers (million), Original air date\nQ: Who wrote the episode that was set in winter 1541/february 13, 1542?\nA: SELECT Written by FROM 1-10413597-5 WHERE Setting = 'Winter 1541/February 13, 1542'"}
+{"text": "table: 1-10413597-4\ncolumns: No. in series, No. in season, Title, Setting, Directed by, Written by, Original air date\nQ: What episode number of the season was \"The Northern Uprising\"?\nA: SELECT No. in season FROM 1-10413597-4 WHERE Title = '\"The Northern Uprising\"'"}
+{"text": "table: 1-10416547-1\ncolumns: Date, Album name, Track, Track title, Lyricist, Music genre/style, Major instrument(s), Lyrics theme/style, Duration\nQ: What is the name of the track that lasts 5:30?\nA: SELECT Track title FROM 1-10416547-1 WHERE Duration = '5:30'"}
+{"text": "table: 1-10416547-1\ncolumns: Date, Album name, Track, Track title, Lyricist, Music genre/style, Major instrument(s), Lyrics theme/style, Duration\nQ: What is the album namethat has the track title Sweetness \u751c\u751c\u7684 (ti\u00e1n ti\u00e1n de)?\nA: SELECT Album name FROM 1-10416547-1 WHERE Track title = 'Sweetness \u751c\u751c\u7684 (Ti\u00e1n ti\u00e1n de)'"}
+{"text": "table: 1-10416547-1\ncolumns: Date, Album name, Track, Track title, Lyricist, Music genre/style, Major instrument(s), Lyrics theme/style, Duration\nQ: What is the duration of the song where the major instrument is the piano and the date is 2004-02-03?\nA: SELECT Duration FROM 1-10416547-1 WHERE Major instrument(s) = 'Piano' AND Date = '2004-02-03'"}
+{"text": "table: 1-10416547-1\ncolumns: Date, Album name, Track, Track title, Lyricist, Music genre/style, Major instrument(s), Lyrics theme/style, Duration\nQ: What is the total number of lyricist where the lyrics theme is romance and the song lasts 3:50?\nA: SELECT COUNT Lyricist FROM 1-10416547-1 WHERE Lyrics theme/style = 'Romance' AND Duration = '3:50'"}
+{"text": "table: 1-10416547-1\ncolumns: Date, Album name, Track, Track title, Lyricist, Music genre/style, Major instrument(s), Lyrics theme/style, Duration\nQ: What is the major instrument of the song that lasts 4:32? \nA: SELECT Major instrument(s) FROM 1-10416547-1 WHERE Duration = '4:32'"}
+{"text": "table: 1-10416547-1\ncolumns: Date, Album name, Track, Track title, Lyricist, Music genre/style, Major instrument(s), Lyrics theme/style, Duration\nQ: What is the total number of music genre/style in which the lyrics are a detective story?\nA: SELECT COUNT Music genre/style FROM 1-10416547-1 WHERE Lyrics theme/style = 'Detective story'"}
+{"text": "table: 1-1046071-1\ncolumns: Year, Division, League, Regular Season, Playoffs, Open Cup\nQ: What is the playoffs for the usl pro select league?\nA: SELECT Playoffs FROM 1-1046071-1 WHERE League = 'USL Pro Select League'"}
+{"text": "table: 1-1046071-1\ncolumns: Year, Division, League, Regular Season, Playoffs, Open Cup\nQ: What is the number of the division for the 1st round?\nA: SELECT COUNT Division FROM 1-1046071-1 WHERE Open Cup = '1st Round'"}
+{"text": "table: 1-10420426-1\ncolumns: Season, Series, Team, Races, Wins, Poles, F/Laps, Podiums, Points, Position\nQ: What was the team where series is formula renault 2.0 nec?\nA: SELECT Team FROM 1-10420426-1 WHERE Series = 'Formula Renault 2.0 NEC'"}
+{"text": "table: 1-10420426-1\ncolumns: Season, Series, Team, Races, Wins, Poles, F/Laps, Podiums, Points, Position\nQ: What is the total number of poles for arden international?\nA: SELECT COUNT Poles FROM 1-10420426-1 WHERE Team = 'Arden International'"}
+{"text": "table: 1-10420426-1\ncolumns: Season, Series, Team, Races, Wins, Poles, F/Laps, Podiums, Points, Position\nQ: What is the number of wins for gp2 series for racing engineering?\nA: SELECT COUNT Wins FROM 1-10420426-1 WHERE Series = 'GP2 Series' AND Team = 'Racing Engineering'"}
+{"text": "table: 1-10420426-1\ncolumns: Season, Series, Team, Races, Wins, Poles, F/Laps, Podiums, Points, Position\nQ: What is the number of podiums for season 2010 for campionato italiano superstars.\nA: SELECT COUNT Podiums FROM 1-10420426-1 WHERE Season = '2010' AND Series = 'Campionato Italiano Superstars'"}
+{"text": "table: 1-10420426-1\ncolumns: Season, Series, Team, Races, Wins, Poles, F/Laps, Podiums, Points, Position\nQ: What is the podium for 144 points?\nA: SELECT Podiums FROM 1-10420426-1 WHERE Points = 144"}
+{"text": "table: 1-10470082-3\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: How many writers had an US air date of september 25, 1993?\nA: SELECT COUNT Writer FROM 1-10470082-3 WHERE US air date = 'September 25, 1993'"}
+{"text": "table: 1-10470082-3\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: How many villians were in No. 25?\nA: SELECT COUNT Villains FROM 1-10470082-3 WHERE No. = 25"}
+{"text": "table: 1-1046454-1\ncolumns: Year, Division, League, Regular Season, Playoffs, Open Cup\nQ: what being the maximum\u00a0year\u00a0where\u00a0regular season\u00a0is 4th, northwest\nA: SELECT MAX Year FROM 1-1046454-1 WHERE Regular Season = '4th, Northwest'"}
+{"text": "table: 1-1046454-1\ncolumns: Year, Division, League, Regular Season, Playoffs, Open Cup\nQ: what is the total number of\u00a0playoffs\u00a0where\u00a0regular season\u00a0is 6th, southwest\nA: SELECT COUNT Playoffs FROM 1-1046454-1 WHERE Regular Season = '6th, Southwest'"}
+{"text": "table: 1-1046454-1\ncolumns: Year, Division, League, Regular Season, Playoffs, Open Cup\nQ: what is the maximum\u00a0division\nA: SELECT MAX Division FROM 1-1046454-1"}
+{"text": "table: 1-1046454-1\ncolumns: Year, Division, League, Regular Season, Playoffs, Open Cup\nQ:  what's the\u00a0league\u00a0where\u00a0regular season\u00a0is 2nd, northwest\nA: SELECT League FROM 1-1046454-1 WHERE Regular Season = '2nd, Northwest'"}
+{"text": "table: 1-1046454-1\ncolumns: Year, Division, League, Regular Season, Playoffs, Open Cup\nQ: what are all the regular season where year is 2011\nA: SELECT Regular Season FROM 1-1046454-1 WHERE Year = 2011"}
+{"text": "table: 1-10470082-5\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: How many titles have the number 11\nA: SELECT COUNT Title FROM 1-10470082-5 WHERE # = 11"}
+{"text": "table: 1-10470082-5\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: How many have Mrs. briar as a villain\nA: SELECT COUNT No. FROM 1-10470082-5 WHERE Villains = 'Mrs. Briar'"}
+{"text": "table: 1-10470082-5\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: how many have the number 8\nA: SELECT COUNT No. FROM 1-10470082-5 WHERE # = 8"}
+{"text": "table: 1-10470082-5\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: How many have the title \"the tale of the room for rent\"\nA: SELECT COUNT # FROM 1-10470082-5 WHERE Title = '\"The Tale of the Room for Rent\"'"}
+{"text": "table: 1-10470082-6\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: What is the name of the episode told by Kiki and directed by Will Dixon?\nA: SELECT Title FROM 1-10470082-6 WHERE Storyteller = 'Kiki' AND Director = 'Will Dixon'"}
+{"text": "table: 1-10470082-6\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: Who is the storyteller in the episode called \"The Tale of the Jagged Sign\"?\nA: SELECT Storyteller FROM 1-10470082-6 WHERE Title = '\"The Tale of the Jagged Sign\"'"}
+{"text": "table: 1-10470082-6\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: Who wrote Episode #3?\nA: SELECT Writer FROM 1-10470082-6 WHERE # = 3"}
+{"text": "table: 1-10470082-7\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: Who are the villains in the episode titled \"The Tale of the Forever Game\"?\nA: SELECT Villains FROM 1-10470082-7 WHERE Title = '\"The Tale of The Forever Game\"'"}
+{"text": "table: 1-10470082-7\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: How many villains appeared in the episode titled \"The Tale of the Virtual Pets\"?\nA: SELECT COUNT Villains FROM 1-10470082-7 WHERE Title = '\"The Tale of The Virtual Pets\"'"}
+{"text": "table: 1-10470082-7\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: Who are the villains in the episodes where Megan is the storyteller and Lorette LeBlanc is the director?\nA: SELECT Villains FROM 1-10470082-7 WHERE Storyteller = 'Megan' AND Director = 'Lorette LeBlanc'"}
+{"text": "table: 1-10470082-7\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: What is the largest # for an episode that was written by Allison Lea Bingeman?\nA: SELECT MAX # FROM 1-10470082-7 WHERE Writer = 'Allison Lea Bingeman'"}
+{"text": "table: 1-10477224-1\ncolumns: Sepal length, Sepal width, Petal length, Petal width, Species\nQ: Name the species when petal width is 2.0 and petal length is 4.9\nA: SELECT Species FROM 1-10477224-1 WHERE Petal width = '2.0' AND Petal length = '4.9'"}
+{"text": "table: 1-10477224-1\ncolumns: Sepal length, Sepal width, Petal length, Petal width, Species\nQ: Name the sepal width for i.virginica with petal length of 5.1\nA: SELECT Sepal width FROM 1-10477224-1 WHERE Species = 'I.virginica' AND Petal length = '5.1'"}
+{"text": "table: 1-10477224-1\ncolumns: Sepal length, Sepal width, Petal length, Petal width, Species\nQ: Name the number of species with sepal width of 3.4 and sepal length of 5.4\nA: SELECT COUNT Species FROM 1-10477224-1 WHERE Sepal width = '3.4' AND Sepal length = '5.4'"}
+{"text": "table: 1-10477224-1\ncolumns: Sepal length, Sepal width, Petal length, Petal width, Species\nQ: Name the sepal length for sepal width of 2.8 and petal length of 5.1\nA: SELECT Sepal length FROM 1-10477224-1 WHERE Sepal width = '2.8' AND Petal length = '5.1'"}
+{"text": "table: 1-10477224-1\ncolumns: Sepal length, Sepal width, Petal length, Petal width, Species\nQ: Name the sepal width when sepal length is 6.5 and petal width is 2.2\nA: SELECT Sepal width FROM 1-10477224-1 WHERE Sepal length = '6.5' AND Petal width = '2.2'"}
+{"text": "table: 1-10477224-1\ncolumns: Sepal length, Sepal width, Petal length, Petal width, Species\nQ: Name the sepal lengh when sepal width is 2.9 and petal width 1.3\nA: SELECT Sepal length FROM 1-10477224-1 WHERE Sepal width = '2.9' AND Petal width = '1.3'"}
+{"text": "table: 1-10470082-4\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: Who is the director and what number is the episode for episode #1 of Are You Afraid of the Dark season 3?\nA: SELECT COUNT Director FROM 1-10470082-4 WHERE # = 1"}
+{"text": "table: 1-10470082-4\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: Who is the director of the episode whom Scott Peters is the writer?\nA: SELECT Director FROM 1-10470082-4 WHERE Writer = 'Scott Peters'"}
+{"text": "table: 1-10470082-4\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: Who is the villain in episode #7?\nA: SELECT Villains FROM 1-10470082-4 WHERE # = 7"}
+{"text": "table: 1-10470082-8\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: Who wrote episode #1 in season 7?\nA: SELECT COUNT Writer FROM 1-10470082-8 WHERE # = 1"}
+{"text": "table: 1-10470082-8\ncolumns: No., #, Title, Director, Writer, US air date, Storyteller, Villains\nQ: When did the episode written by Jim Morris air?\nA: SELECT US air date FROM 1-10470082-8 WHERE Writer = 'Jim Morris'"}
+{"text": "table: 1-10527215-3\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: What was Datsun Twin 200's fastest lap?\nA: SELECT Fastest Lap FROM 1-10527215-3 WHERE Name = 'Datsun Twin 200'"}
+{"text": "table: 1-10527215-3\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: In the Datsun Twin 200 race, what was the fastest lap?\nA: SELECT Fastest Lap FROM 1-10527215-3 WHERE Name = 'Datsun Twin 200'"}
+{"text": "table: 1-10527215-3\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: What's the report for the True Value 500?\nA: SELECT Report FROM 1-10527215-3 WHERE Name = 'True Value 500'"}
+{"text": "table: 1-10527215-3\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: What was Johnny Rutherford's fastest lap while Al Unser was the pole position?\nA: SELECT Fastest Lap FROM 1-10527215-3 WHERE Winning driver = 'Johnny Rutherford' AND Pole Position = 'Al Unser'"}
+{"text": "table: 1-10527215-3\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: What's the report on Penske Racing winning while the pole position was Al Unser?\nA: SELECT COUNT Report FROM 1-10527215-3 WHERE Pole Position = 'Al Unser' AND Winning team = 'Penske Racing'"}
+{"text": "table: 1-104858-1\ncolumns: Country, Membership (from 2010), Name of member organization, Year current Scouting organization joined WOSM, Year member organization was founded, Admits boys/girls\nQ: Which countries have a scouting organization that was founded in 1926, and joined WOSM in 1930?\nA: SELECT Country FROM 1-104858-1 WHERE Year current Scouting organization joined WOSM = '1930' AND Year member organization was founded = '1926'"}
+{"text": "table: 1-104858-1\ncolumns: Country, Membership (from 2010), Name of member organization, Year current Scouting organization joined WOSM, Year member organization was founded, Admits boys/girls\nQ: Does Venezuela admit only boys, only girls, or both?\nA: SELECT Admits boys/girls FROM 1-104858-1 WHERE Country = 'Venezuela'"}
+{"text": "table: 1-104858-1\ncolumns: Country, Membership (from 2010), Name of member organization, Year current Scouting organization joined WOSM, Year member organization was founded, Admits boys/girls\nQ: Which organizations were founded in 1972, but became WOSM members until 1977?\nA: SELECT Name of member organization FROM 1-104858-1 WHERE Year member organization was founded = '1972' AND Year current Scouting organization joined WOSM = '1977'"}
+{"text": "table: 1-104858-1\ncolumns: Country, Membership (from 2010), Name of member organization, Year current Scouting organization joined WOSM, Year member organization was founded, Admits boys/girls\nQ: Does the Scout Association of Hong Kong admit boys, girls, or both?\nA: SELECT Admits boys/girls FROM 1-104858-1 WHERE Name of member organization = 'The Scout Association of Hong Kong'"}
+{"text": "table: 1-104858-1\ncolumns: Country, Membership (from 2010), Name of member organization, Year current Scouting organization joined WOSM, Year member organization was founded, Admits boys/girls\nQ: Does the Ghana Scout Association (founded in 1912) admit boys, girls, or both?\nA: SELECT Admits boys/girls FROM 1-104858-1 WHERE Year member organization was founded = '1912' AND Name of member organization = 'The Ghana Scout Association'"}
+{"text": "table: 1-10528691-4\ncolumns: Model, Introduction, Discontinued, CPU Speed, Print resolution (DPI) Resolution is given in dots per inch (DPI), Print speed (PPM), Standard memory, Maximum memory\nQ: What is the model number introduced May 1999?\nA: SELECT MAX Model FROM 1-10528691-4 WHERE Introduction = 'May 1999'"}
+{"text": "table: 1-10528691-4\ncolumns: Model, Introduction, Discontinued, CPU Speed, Print resolution (DPI) Resolution is given in dots per inch (DPI), Print speed (PPM), Standard memory, Maximum memory\nQ: What is the print resolution (FPI) for December 2002?\nA: SELECT Print resolution (DPI) Resolution is given in dots per inch (DPI) FROM 1-10528691-4 WHERE Introduction = 'December 2002'"}
+{"text": "table: 1-10528691-4\ncolumns: Model, Introduction, Discontinued, CPU Speed, Print resolution (DPI) Resolution is given in dots per inch (DPI), Print speed (PPM), Standard memory, Maximum memory\nQ: What is the maximum memory for the model discontinued in November 2001?\nA: SELECT Maximum memory FROM 1-10528691-4 WHERE Discontinued = 'November 2001'"}
+{"text": "table: 1-1053802-1\ncolumns: Region/country, Local title, Network, Winners, Main presenters\nQ: What is main presenters of La Granja?\nA: SELECT Main presenters FROM 1-1053802-1 WHERE Local title = 'La Granja'"}
+{"text": "table: 1-1053802-1\ncolumns: Region/country, Local title, Network, Winners, Main presenters\nQ: What is the main presenter of bulgaria?\nA: SELECT Main presenters FROM 1-1053802-1 WHERE Region/country = 'Bulgaria'"}
+{"text": "table: 1-1053802-1\ncolumns: Region/country, Local title, Network, Winners, Main presenters\nQ: How many winners are there of farma?\nA: SELECT COUNT Winners FROM 1-1053802-1 WHERE Local title = 'Farma'"}
+{"text": "table: 1-10556257-1\ncolumns: Season, Team, League Apps, League Goals, Cup Apps, Cup Goals\nQ: What is the most cup goals for seasson 1911-12?\nA: SELECT MAX Cup Goals FROM 1-10556257-1 WHERE Season = '1911-12'"}
+{"text": "table: 1-10556257-1\ncolumns: Season, Team, League Apps, League Goals, Cup Apps, Cup Goals\nQ: What is the league apps for season 1923-24?\nA: SELECT League Apps FROM 1-10556257-1 WHERE Season = '1923-24'"}
+{"text": "table: 1-10556257-1\ncolumns: Season, Team, League Apps, League Goals, Cup Apps, Cup Goals\nQ: What is the team for season 1911-12?\nA: SELECT Team FROM 1-10556257-1 WHERE Season = '1911-12'"}
+{"text": "table: 1-10566855-1\ncolumns: Season, Premier, Runner-up, Score, Margin, Venue, Attendance\nQ: what's the minimum\u00a0attendance\u00a0with\u00a0score\u00a0 10.16 (76) \u2013 9.22 (76)\nA: SELECT MIN Attendance FROM 1-10566855-1 WHERE Score = '10.16 (76) \u2013 9.22 (76)'"}
+{"text": "table: 1-10566855-1\ncolumns: Season, Premier, Runner-up, Score, Margin, Venue, Attendance\nQ: who's the\u00a0premier\u00a0with\u00a0in 1970\nA: SELECT Premier FROM 1-10566855-1 WHERE Season = 1970"}
+{"text": "table: 1-10566855-1\ncolumns: Season, Premier, Runner-up, Score, Margin, Venue, Attendance\nQ: who are all the runner-up for premier in richmond\nA: SELECT Runner-up FROM 1-10566855-1 WHERE Premier = 'Richmond'"}
+{"text": "table: 1-10566855-1\ncolumns: Season, Premier, Runner-up, Score, Margin, Venue, Attendance\nQ: what is the minimum attendance with score 8.16 (64) \u2013 8.12 (60)\nA: SELECT MIN Attendance FROM 1-10566855-1 WHERE Score = '8.16 (64) \u2013 8.12 (60)'"}
+{"text": "table: 1-10568553-1\ncolumns: County, Location, Street Names, Milepost, Roads Intersected, Notes\nQ: How many mileposts are there on Anne Street?\nA: SELECT COUNT Milepost FROM 1-10568553-1 WHERE Street Names = 'Anne Street'"}
+{"text": "table: 1-10568553-1\ncolumns: County, Location, Street Names, Milepost, Roads Intersected, Notes\nQ: Which street is 12.2 miles long?\nA: SELECT Street Names FROM 1-10568553-1 WHERE Milepost = '12.2'"}
+{"text": "table: 1-10568553-1\ncolumns: County, Location, Street Names, Milepost, Roads Intersected, Notes\nQ: Where does Route 24 intersect?\nA: SELECT Location FROM 1-10568553-1 WHERE Roads Intersected = 'Route 24'"}
+{"text": "table: 1-10568553-1\ncolumns: County, Location, Street Names, Milepost, Roads Intersected, Notes\nQ: Where is milepost 12.8?\nA: SELECT Location FROM 1-10568553-1 WHERE Milepost = '12.8'"}
+{"text": "table: 1-1057262-1\ncolumns: Commodity, 2001-02, 2002-03, 2003-04, 2004-05, 2005-06, 2006-07\nQ: What is the minimum amount for wool for 2001-02?\nA: SELECT MIN 2001-02 FROM 1-1057262-1 WHERE Commodity = 'Wool'"}
+{"text": "table: 1-1057316-1\ncolumns: Serial number, Wheel arrangement ( Whyte notation ), Build date, Operational owner(s), Disposition\nQ: Who were the operational owners during the construction date of April 1892?\nA: SELECT Operational owner(s) FROM 1-1057316-1 WHERE Build date = 'April 1892'"}
+{"text": "table: 1-1057316-1\ncolumns: Serial number, Wheel arrangement ( Whyte notation ), Build date, Operational owner(s), Disposition\nQ: Where can you find Colorado and Southern Railway #9?\nA: SELECT Disposition FROM 1-1057316-1 WHERE Operational owner(s) = 'Colorado and Southern Railway #9'"}
+{"text": "table: 1-1057316-1\ncolumns: Serial number, Wheel arrangement ( Whyte notation ), Build date, Operational owner(s), Disposition\nQ: What is the wheel arrangement for the train in Riverdale, Georgia?\nA: SELECT Wheel arrangement ( Whyte notation ) FROM 1-1057316-1 WHERE Disposition = 'Riverdale, Georgia'"}
+{"text": "table: 1-1057316-1\ncolumns: Serial number, Wheel arrangement ( Whyte notation ), Build date, Operational owner(s), Disposition\nQ: When was the train 2053 built?\nA: SELECT Build date FROM 1-1057316-1 WHERE Serial number = '2053'"}
+{"text": "table: 1-1057316-1\ncolumns: Serial number, Wheel arrangement ( Whyte notation ), Build date, Operational owner(s), Disposition\nQ: How many wheels does the train owned by Texas and New Orleans Railroad #319 have?\nA: SELECT COUNT Wheel arrangement ( Whyte notation ) FROM 1-1057316-1 WHERE Operational owner(s) = 'Texas and New Orleans Railroad #319'"}
+{"text": "table: 1-10577579-3\ncolumns: Institution, Location, Men\u2019s Nickname, Women\u2019s Nickname, Founded, Type, Enrollment, Joined, Left, Current Conference, Classification\nQ: Which college has the men's nickname of the blazers?\nA: SELECT Institution FROM 1-10577579-3 WHERE Men\u2019s Nickname = 'Blazers'"}
+{"text": "table: 1-10577579-3\ncolumns: Institution, Location, Men\u2019s Nickname, Women\u2019s Nickname, Founded, Type, Enrollment, Joined, Left, Current Conference, Classification\nQ: Name the joined for the wolfpack women's nickname\nA: SELECT Joined FROM 1-10577579-3 WHERE Women\u2019s Nickname = 'Wolfpack'"}
+{"text": "table: 1-10577579-3\ncolumns: Institution, Location, Men\u2019s Nickname, Women\u2019s Nickname, Founded, Type, Enrollment, Joined, Left, Current Conference, Classification\nQ: Name the left of the Lady Pilots.\nA: SELECT Left FROM 1-10577579-3 WHERE Women\u2019s Nickname = 'Lady Pilots'"}
+{"text": "table: 1-10577579-3\ncolumns: Institution, Location, Men\u2019s Nickname, Women\u2019s Nickname, Founded, Type, Enrollment, Joined, Left, Current Conference, Classification\nQ: Name the women's nickname when the enrollment is 1500 in mobile, Alabama.\nA: SELECT Women\u2019s Nickname FROM 1-10577579-3 WHERE Enrollment = 1500 AND Location = 'Mobile, Alabama'"}
+{"text": "table: 1-10577579-3\ncolumns: Institution, Location, Men\u2019s Nickname, Women\u2019s Nickname, Founded, Type, Enrollment, Joined, Left, Current Conference, Classification\nQ: Which conference is in Jackson, Mississippi?\nA: SELECT Current Conference FROM 1-10577579-3 WHERE Location = 'Jackson, Mississippi'"}
+{"text": "table: 1-10577579-3\ncolumns: Institution, Location, Men\u2019s Nickname, Women\u2019s Nickname, Founded, Type, Enrollment, Joined, Left, Current Conference, Classification\nQ: What is the men's nickname at the school that has the lady wildcats women's nickname?\nA: SELECT Men\u2019s Nickname FROM 1-10577579-3 WHERE Women\u2019s Nickname = 'Lady Wildcats'"}
+{"text": "table: 1-10577579-2\ncolumns: Institution, Location, Mens Nickname, Womens Nickname, Founded, Type, Enrollment, Joined\nQ: What is the Mens Nickname for the member location of Jacksonville, florida?\nA: SELECT Mens Nickname FROM 1-10577579-2 WHERE Location = 'Jacksonville, Florida'"}
+{"text": "table: 1-10577579-2\ncolumns: Institution, Location, Mens Nickname, Womens Nickname, Founded, Type, Enrollment, Joined\nQ: What is the enrollment for the institution that was founded in 1866 and is a private/(african methodist) type?\nA: SELECT MAX Enrollment FROM 1-10577579-2 WHERE Founded = 1866 AND Type = 'Private/(African Methodist)'"}
+{"text": "table: 1-10577579-2\ncolumns: Institution, Location, Mens Nickname, Womens Nickname, Founded, Type, Enrollment, Joined\nQ: That is the year founded for the institution location of Nashville, Tennessee?\nA: SELECT MIN Founded FROM 1-10577579-2 WHERE Location = 'Nashville, Tennessee'"}
+{"text": "table: 1-10577579-2\ncolumns: Institution, Location, Mens Nickname, Womens Nickname, Founded, Type, Enrollment, Joined\nQ: What is the year the institution Tougaloo College joined?\nA: SELECT Joined FROM 1-10577579-2 WHERE Institution = 'Tougaloo College'"}
+{"text": "table: 1-10592536-8\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment, Position in table\nQ: What is the date of vacancy when the date of appointment is 28 november 2007 and replaced by is alex mcleish?\nA: SELECT Date of vacancy FROM 1-10592536-8 WHERE Date of appointment = '28 November 2007' AND Replaced by = 'Alex McLeish'"}
+{"text": "table: 1-10592536-8\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment, Position in table\nQ: What is the date of appointment when the date of vacancy is 21 december 2007?\nA: SELECT Date of appointment FROM 1-10592536-8 WHERE Date of vacancy = '21 December 2007'"}
+{"text": "table: 1-10592536-8\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment, Position in table\nQ: Who replaced when team is wigan athletic?\nA: SELECT Replaced by FROM 1-10592536-8 WHERE Team = 'Wigan Athletic'"}
+{"text": "table: 1-10592536-8\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment, Position in table\nQ: What is the date of vacancy when the team is manchester city and replaced by is mark hughes?\nA: SELECT Date of vacancy FROM 1-10592536-8 WHERE Team = 'Manchester City' AND Replaced by = 'Mark Hughes'"}
+{"text": "table: 1-10592536-8\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment, Position in table\nQ: What is the date of appointment when replaced by is roy hodgson?\nA: SELECT Date of appointment FROM 1-10592536-8 WHERE Replaced by = 'Roy Hodgson'"}
+{"text": "table: 1-10592536-8\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment, Position in table\nQ: Who replaced when position in table is pre-season?\nA: SELECT Replaced by FROM 1-10592536-8 WHERE Position in table = 'Pre-season'"}
+{"text": "table: 1-1059743-1\ncolumns: Rank, Member Association, Points, Group stage, Play-off, AFC Cup\nQ: How many games had a score value of 813.5 in post-season play?\nA: SELECT COUNT Play-off FROM 1-1059743-1 WHERE Points = '813.5'"}
+{"text": "table: 1-1059743-1\ncolumns: Rank, Member Association, Points, Group stage, Play-off, AFC Cup\nQ: Did any team score games that totaled up to 860.5?\nA: SELECT Play-off FROM 1-1059743-1 WHERE Points = '860.5'"}
+{"text": "table: 1-10595672-1\ncolumns: Date, Opponent, Home / Away, Score, High points, High rebounds, High assists, Location/Attendance, Record\nQ: What was the score of the game when the team reached a record of 6-9?\nA: SELECT Score FROM 1-10595672-1 WHERE Record = '6-9'"}
+{"text": "table: 1-10581768-2\ncolumns: Institution, Nickname, Location, Founded, Type, Enrollment\nQ: What type institution is point park university\nA: SELECT Type FROM 1-10581768-2 WHERE Institution = 'Point Park University'"}
+{"text": "table: 1-10581768-2\ncolumns: Institution, Nickname, Location, Founded, Type, Enrollment\nQ: How many institutions are located in wilmore, kentucky and private\nA: SELECT MAX Founded FROM 1-10581768-2 WHERE Type = 'Private' AND Location = 'Wilmore, Kentucky'"}
+{"text": "table: 1-10581768-2\ncolumns: Institution, Nickname, Location, Founded, Type, Enrollment\nQ: point park university is what type of institution\nA: SELECT Type FROM 1-10581768-2 WHERE Institution = 'Point Park University'"}
+{"text": "table: 1-10581768-2\ncolumns: Institution, Nickname, Location, Founded, Type, Enrollment\nQ: how many founded dates are listed for carlow university 1\nA: SELECT COUNT Founded FROM 1-10581768-2 WHERE Institution = 'Carlow University 1'"}
+{"text": "table: 1-10610087-6\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date\nQ: Who wrote the episode titled \"black\"?\nA: SELECT Written by FROM 1-10610087-6 WHERE Title = '\"Black\"'"}
+{"text": "table: 1-10610087-6\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date\nQ: Who are the writers for the episode \"solo\"?\nA: SELECT Written by FROM 1-10610087-6 WHERE Title = '\"Solo\"'"}
+{"text": "table: 1-10610087-3\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date\nQ: what is the original air date of the episode no in season 9?\nA: SELECT Original air date FROM 1-10610087-3 WHERE No. in season = 9"}
+{"text": "table: 1-10610087-3\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date\nQ: What is the title of the episode written by denis leary, peter tolan and evan reilly?\nA: SELECT Title FROM 1-10610087-3 WHERE Written by = 'Denis Leary, Peter Tolan and Evan Reilly'"}
+{"text": "table: 1-10610087-3\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date\nQ: How many episodes were titles \"voicemail\"?\nA: SELECT COUNT Directed by FROM 1-10610087-3 WHERE Title = '\"Voicemail\"'"}
+{"text": "table: 1-10602294-1\ncolumns: Name, Dates active, Peak classification, Windspeeds, Pressure, Areas affected, Damage (USD), Deaths, Refs\nQ: When was Kamba active?\nA: SELECT Dates active FROM 1-10602294-1 WHERE Name = 'Kamba'"}
+{"text": "table: 1-10602294-1\ncolumns: Name, Dates active, Peak classification, Windspeeds, Pressure, Areas affected, Damage (USD), Deaths, Refs\nQ: What was the cyclone's pressure in the storm that death was equal to 95km/h (60mph)?\nA: SELECT Pressure FROM 1-10602294-1 WHERE Deaths = '95km/h (60mph)'"}
+{"text": "table: 1-10602294-1\ncolumns: Name, Dates active, Peak classification, Windspeeds, Pressure, Areas affected, Damage (USD), Deaths, Refs\nQ: What were the active dates for the storm that had 185km/h (115mph) deaths?\nA: SELECT Dates active FROM 1-10602294-1 WHERE Deaths = '185km/h (115mph)'"}
+{"text": "table: 1-10602294-1\ncolumns: Name, Dates active, Peak classification, Windspeeds, Pressure, Areas affected, Damage (USD), Deaths, Refs\nQ: What was the damage (usd) from the cyclones that measured 1003hPa (29.62inHg) pressure?\nA: SELECT Damage (USD) FROM 1-10602294-1 WHERE Pressure = '1003hPa (29.62inHg)'"}
+{"text": "table: 1-10621256-1\ncolumns: Player, Matches, Inns, N/O, Runs, High Score, Average, 100, 50, Catches, Stump\nQ:  what's the\u00a0average\u00a0where\u00a0high score\u00a0is 120\nA: SELECT Average FROM 1-10621256-1 WHERE High Score = 120"}
+{"text": "table: 1-10621256-1\ncolumns: Player, Matches, Inns, N/O, Runs, High Score, Average, 100, 50, Catches, Stump\nQ:  what's the\u00a0player\u00a0where\u00a050\u00a0is 2 and\u00a0n/o\u00a0is 0\nA: SELECT Player FROM 1-10621256-1 WHERE 50 = 2 AND N/O = 0"}
+{"text": "table: 1-10621256-1\ncolumns: Player, Matches, Inns, N/O, Runs, High Score, Average, 100, 50, Catches, Stump\nQ:  what's the\u00a0player\u00a0where\u00a0inns\u00a0is 21\nA: SELECT Player FROM 1-10621256-1 WHERE Inns = 21"}
+{"text": "table: 1-106367-2\ncolumns: General election, # of candidates, # of seats won, % of popular vote, Result\nQ: Which general election had a pq majority and a 44.75% of the popular vote?\nA: SELECT General election FROM 1-106367-2 WHERE Result = 'PQ majority' AND % of popular vote = '44.75%'"}
+{"text": "table: 1-106367-2\ncolumns: General election, # of candidates, # of seats won, % of popular vote, Result\nQ: What is the least number of candidates running were there when 80 seats were won?\nA: SELECT MIN # of candidates FROM 1-106367-2 WHERE # of seats won = 80"}
+{"text": "table: 1-106367-2\ncolumns: General election, # of candidates, # of seats won, % of popular vote, Result\nQ: How many seats were won in the election with 125 candidates?\nA: SELECT COUNT # of seats won FROM 1-106367-2 WHERE # of candidates = 125"}
+{"text": "table: 1-10647639-1\ncolumns: Week, Date, Opponent, Result, Game site, Record, Attendance\nQ: How many weeks are there?\nA: SELECT MAX Week FROM 1-10647639-1"}
+{"text": "table: 1-10647639-1\ncolumns: Week, Date, Opponent, Result, Game site, Record, Attendance\nQ: How many people attended the game against the indianapolis colts?\nA: SELECT COUNT Attendance FROM 1-10647639-1 WHERE Opponent = 'Indianapolis Colts'"}
+{"text": "table: 1-10647639-1\ncolumns: Week, Date, Opponent, Result, Game site, Record, Attendance\nQ: On december 16, 1985, all the records were what?\nA: SELECT Record FROM 1-10647639-1 WHERE Date = 'December 16, 1985'"}
+{"text": "table: 1-10646790-2\ncolumns: Week, Date, Opponent, Result, Stadium, Record, Attendance\nQ: How many results are there for the 0-4 record?\nA: SELECT COUNT Result FROM 1-10646790-2 WHERE Record = '0-4'"}
+{"text": "table: 1-10646790-2\ncolumns: Week, Date, Opponent, Result, Stadium, Record, Attendance\nQ: How many weeks are there that include the date October 11, 1969.\nA: SELECT COUNT Week FROM 1-10646790-2 WHERE Date = 'October 11, 1969'"}
+{"text": "table: 1-10646790-2\ncolumns: Week, Date, Opponent, Result, Stadium, Record, Attendance\nQ: How many weeks are there that include the date November 9, 1969.\nA: SELECT COUNT Week FROM 1-10646790-2 WHERE Date = 'November 9, 1969'"}
+{"text": "table: 1-10646790-2\ncolumns: Week, Date, Opponent, Result, Stadium, Record, Attendance\nQ: How many records are there at the War Memorial Stadium?\nA: SELECT COUNT Record FROM 1-10646790-2 WHERE Stadium = 'War Memorial Stadium'"}
+{"text": "table: 1-10646790-2\ncolumns: Week, Date, Opponent, Result, Stadium, Record, Attendance\nQ: What was the minimum attendance on December 7, 1969?\nA: SELECT MIN Attendance FROM 1-10646790-2 WHERE Date = 'December 7, 1969'"}
+{"text": "table: 1-10647401-1\ncolumns: Week, Opponent, Result, Stadium, Record, Attendance\nQ: What week corresponds to the last one to be played at the memorial stadium?\nA: SELECT MAX Week FROM 1-10647401-1 WHERE Stadium = 'Memorial Stadium'"}
+{"text": "table: 1-10647401-1\ncolumns: Week, Opponent, Result, Stadium, Record, Attendance\nQ: In which stadium is the week 5 game played?\nA: SELECT Stadium FROM 1-10647401-1 WHERE Week = 5"}
+{"text": "table: 1-10664957-2\ncolumns: 1st players choice, 2nd players choice, Probability 1st player wins, Probability 2nd player wins, Probability of a draw\nQ: In Penney's game what is the probability where the 1st player wins if the probability of a draw is 8.28% and the 2nd player chooses B BR?\nA: SELECT Probability 1st player wins FROM 1-10664957-2 WHERE Probability of a draw = '8.28%' AND 2nd players choice = 'B BR'"}
+{"text": "table: 1-10664957-2\ncolumns: 1st players choice, 2nd players choice, Probability 1st player wins, Probability 2nd player wins, Probability of a draw\nQ: If the first player chooses RB B, what is the second player's choices?\nA: SELECT 2nd players choice FROM 1-10664957-2 WHERE 1st players choice = 'RB B'"}
+{"text": "table: 1-10664957-2\ncolumns: 1st players choice, 2nd players choice, Probability 1st player wins, Probability 2nd player wins, Probability of a draw\nQ: What is the probability where the second player wins where their choice is R RB and the first player has a 5.18% chance of winning?\nA: SELECT Probability 2nd player wins FROM 1-10664957-2 WHERE 2nd players choice = 'R RB' AND Probability 1st player wins = '5.18%'"}
+{"text": "table: 1-10664957-2\ncolumns: 1st players choice, 2nd players choice, Probability 1st player wins, Probability 2nd player wins, Probability of a draw\nQ: What are the chances the first player will win if the 2nd player has an 80.11% chance of winning with the choice of R RB?\nA: SELECT Probability 1st player wins FROM 1-10664957-2 WHERE Probability 2nd player wins = '80.11%' AND 2nd players choice = 'R RB'"}
+{"text": "table: 1-10664957-2\ncolumns: 1st players choice, 2nd players choice, Probability 1st player wins, Probability 2nd player wins, Probability of a draw\nQ: What are the chances that player 2 wins if player 1's choice is BB R?\nA: SELECT Probability 2nd player wins FROM 1-10664957-2 WHERE 1st players choice = 'BB R'"}
+{"text": "table: 1-10664957-2\ncolumns: 1st players choice, 2nd players choice, Probability 1st player wins, Probability 2nd player wins, Probability of a draw\nQ: How high is the chance that player 1 wins if player 2 has an 88.29% chance of winning with the choice of R RB?\nA: SELECT Probability 1st player wins FROM 1-10664957-2 WHERE Probability 2nd player wins = '88.29%' AND 2nd players choice = 'R RB'"}
+{"text": "table: 1-10650711-1\ncolumns: Pick #, NFL Team, Player, Position, College\nQ:  what is the\u00a0nfl team\u00a0where\u00a0player\u00a0is thane gash\nA: SELECT NFL Team FROM 1-10650711-1 WHERE Player = 'Thane Gash'"}
+{"text": "table: 1-10650711-1\ncolumns: Pick #, NFL Team, Player, Position, College\nQ: what is the maximum\u00a0pick #\u00a0where\u00a0player\u00a0is anthony blaylock\nA: SELECT MAX Pick # FROM 1-10650711-1 WHERE Player = 'Anthony Blaylock'"}
+{"text": "table: 1-10650711-1\ncolumns: Pick #, NFL Team, Player, Position, College\nQ:  what's the\u00a0nfl team\u00a0where\u00a0player\u00a0is clifford charlton\nA: SELECT NFL Team FROM 1-10650711-1 WHERE Player = 'Clifford Charlton'"}
+{"text": "table: 1-10650711-1\ncolumns: Pick #, NFL Team, Player, Position, College\nQ:  what's the\u00a0position\u00a0where\u00a0player\u00a0is anthony blaylock\nA: SELECT Position FROM 1-10650711-1 WHERE Player = 'Anthony Blaylock'"}
+{"text": "table: 1-10650711-1\ncolumns: Pick #, NFL Team, Player, Position, College\nQ: what is the minimum\u00a0pick #\u00a0where\u00a0position\u00a0is defensive tackle\nA: SELECT MIN Pick # FROM 1-10650711-1 WHERE Position = 'Defensive Tackle'"}
+{"text": "table: 1-1067441-1\ncolumns: Province, Population (2004 estimate), Area (km\u00b2), Density, GDP (2003, PPS in mil. \u20ac ), GDP per cap. (2003, in \u20ac)\nQ: Which province has a density of 971.4?\nA: SELECT Province FROM 1-1067441-1 WHERE Density = '971.4'"}
+{"text": "table: 1-1067441-1\ncolumns: Province, Population (2004 estimate), Area (km\u00b2), Density, GDP (2003, PPS in mil. \u20ac ), GDP per cap. (2003, in \u20ac)\nQ: What is Friesland's gdp per capita?\nA: SELECT MIN GDP per cap. (2003, in \u20ac) FROM 1-1067441-1 WHERE Province = 'Friesland'"}
+{"text": "table: 1-1067441-1\ncolumns: Province, Population (2004 estimate), Area (km\u00b2), Density, GDP (2003, PPS in mil. \u20ac ), GDP per cap. (2003, in \u20ac)\nQ: What is the area of the place that has a population density of 331.4?\nA: SELECT MAX Area (km\u00b2) FROM 1-1067441-1 WHERE Density = '331.4'"}
+{"text": "table: 1-1067441-1\ncolumns: Province, Population (2004 estimate), Area (km\u00b2), Density, GDP (2003, PPS in mil. \u20ac ), GDP per cap. (2003, in \u20ac)\nQ: Which province has a gdp of 38355\u20ac  million euros?\nA: SELECT Province FROM 1-1067441-1 WHERE GDP (2003, PPS in mil. \u20ac ) = 38355"}
+{"text": "table: 1-1067441-1\ncolumns: Province, Population (2004 estimate), Area (km\u00b2), Density, GDP (2003, PPS in mil. \u20ac ), GDP per cap. (2003, in \u20ac)\nQ: What is the population estimate for the place that gad a 18496\u20ac  million euro gdp?\nA: SELECT Population (2004 estimate) FROM 1-1067441-1 WHERE GDP (2003, PPS in mil. \u20ac ) = 18496"}
+{"text": "table: 1-10701133-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Featured character(s), Original air date, U.S. viewers (million)\nQ: What is the title when original air date is may15,2008?\nA: SELECT Title FROM 1-10701133-1 WHERE Original air date = 'May15,2008'"}
+{"text": "table: 1-10701133-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Featured character(s), Original air date, U.S. viewers (million)\nQ: What is the highest no. in season?\nA: SELECT MAX No. in season FROM 1-10701133-1"}
+{"text": "table: 1-10701133-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Featured character(s), Original air date, U.S. viewers (million)\nQ: Who directed the episode where u.s. viewers (million) is 12.90?\nA: SELECT Directed by FROM 1-10701133-1 WHERE U.S. viewers (million) = '12.90'"}
+{"text": "table: 1-1067134-1\ncolumns: DVD Name, # of Ep, Region 1, Region 2, Region 4\nQ: How many episodes aired in Region 2 beginning May 26, 2008?\nA: SELECT MIN # of Ep FROM 1-1067134-1 WHERE Region 2 = 'May 26, 2008'"}
+{"text": "table: 1-1067134-1\ncolumns: DVD Name, # of Ep, Region 1, Region 2, Region 4\nQ: What date did the DVD for season six come out in region 2?\nA: SELECT Region 2 FROM 1-1067134-1 WHERE DVD Name = 'Season Six'"}
+{"text": "table: 1-1067134-1\ncolumns: DVD Name, # of Ep, Region 1, Region 2, Region 4\nQ: What is the least amount of season epidsodes?\nA: SELECT MIN # of Ep FROM 1-1067134-1"}
+{"text": "table: 1-1067134-1\ncolumns: DVD Name, # of Ep, Region 1, Region 2, Region 4\nQ: What DVD season/name for region 2 was released August 22, 2010?\nA: SELECT DVD Name FROM 1-1067134-1 WHERE Region 2 = 'August 22, 2010'"}
+{"text": "table: 1-10705060-1\ncolumns: Season, Series, Team Name, Races, Poles, Wins, Points, Position\nQ: How many points for 2005?\nA: SELECT COUNT Points FROM 1-10705060-1 WHERE Season = '2005'"}
+{"text": "table: 1-10705060-1\ncolumns: Season, Series, Team Name, Races, Poles, Wins, Points, Position\nQ: what is the score for the dams?\nA: SELECT Points FROM 1-10705060-1 WHERE Team Name = 'DAMS'"}
+{"text": "table: 1-10705060-1\ncolumns: Season, Series, Team Name, Races, Poles, Wins, Points, Position\nQ: how many positions in 2009?\nA: SELECT COUNT Position FROM 1-10705060-1 WHERE Season = '2009'"}
+{"text": "table: 1-10705060-1\ncolumns: Season, Series, Team Name, Races, Poles, Wins, Points, Position\nQ: what is the least number of poles?\nA: SELECT MIN Poles FROM 1-10705060-1"}
+{"text": "table: 1-10705060-1\ncolumns: Season, Series, Team Name, Races, Poles, Wins, Points, Position\nQ: Which series with 62 points?\nA: SELECT Series FROM 1-10705060-1 WHERE Points = 62"}
+{"text": "table: 1-10705060-1\ncolumns: Season, Series, Team Name, Races, Poles, Wins, Points, Position\nQ: What is the total for 10th position?\nA: SELECT COUNT Points FROM 1-10705060-1 WHERE Position = '10th'"}
+{"text": "table: 1-10707142-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Winning driver, Winning team, Report\nQ: how many reports of races took place on october 16?\nA: SELECT COUNT Report FROM 1-10707142-2 WHERE Date = 'October 16'"}
+{"text": "table: 1-10707142-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Winning driver, Winning team, Report\nQ: what is the name of the report that lists the race name as long beach grand prix?\nA: SELECT Report FROM 1-10707142-2 WHERE Race Name = 'Long Beach Grand Prix'"}
+{"text": "table: 1-10707142-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Winning driver, Winning team, Report\nQ: what is the report called where the circuit took place at the nazareth speedway?\nA: SELECT Report FROM 1-10707142-2 WHERE Circuit = 'Nazareth Speedway'"}
+{"text": "table: 1-10707142-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Winning driver, Winning team, Report\nQ: what is the name of the race where newman/haas racing is the winning team and rick mears is at the pole position?\nA: SELECT Race Name FROM 1-10707142-2 WHERE Winning team = 'Newman/Haas Racing' AND Pole position = 'Rick Mears'"}
+{"text": "table: 1-10707142-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Winning driver, Winning team, Report\nQ: meadowlands sports complex is the circuit at which city/location?\nA: SELECT City/Location FROM 1-10707142-2 WHERE Circuit = 'Meadowlands Sports Complex'"}
+{"text": "table: 1-10710364-2\ncolumns: Religious group, Population %, Growth (1991\u20132001), Sex ratio (total), Literacy (%), Work participation (%), Sex ratio (rural), Sex ratio (urban), Sex ratio (child)\nQ: What is the literacy rate for groups that grew 103.1% between 1991 and 2001?\nA: SELECT Literacy (%) FROM 1-10710364-2 WHERE Growth (1991\u20132001) = '103.1%'"}
+{"text": "table: 1-10710364-2\ncolumns: Religious group, Population %, Growth (1991\u20132001), Sex ratio (total), Literacy (%), Work participation (%), Sex ratio (rural), Sex ratio (urban), Sex ratio (child)\nQ: What is the lowest sex ratio in rural areas?\nA: SELECT MIN Sex ratio (rural) FROM 1-10710364-2"}
+{"text": "table: 1-10710364-2\ncolumns: Religious group, Population %, Growth (1991\u20132001), Sex ratio (total), Literacy (%), Work participation (%), Sex ratio (rural), Sex ratio (urban), Sex ratio (child)\nQ: What is the lowest child sex ratio in groups where employment is 31.3%?\nA: SELECT MIN Sex ratio (child) FROM 1-10710364-2 WHERE Work participation (%) = '31.3%'"}
+{"text": "table: 1-10710364-2\ncolumns: Religious group, Population %, Growth (1991\u20132001), Sex ratio (total), Literacy (%), Work participation (%), Sex ratio (rural), Sex ratio (urban), Sex ratio (child)\nQ: What is the population percentage of the group where the rural sex ratio is 953?\nA: SELECT Population % FROM 1-10710364-2 WHERE Sex ratio (rural) = 953"}
+{"text": "table: 1-10715317-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: What is the original air date for the title \"felonious monk\"?\nA: SELECT Original air date FROM 1-10715317-2 WHERE Title = '\"Felonious Monk\"'"}
+{"text": "table: 1-10715317-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: What is the title of the episode directed by Peter Markle and written by Jerry Stahl?\nA: SELECT Title FROM 1-10715317-2 WHERE Directed by = 'Peter Markle' AND Written by = 'Jerry Stahl'"}
+{"text": "table: 1-10715317-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: How many episodes were titled \"identity crisis\"?\nA: SELECT COUNT Directed by FROM 1-10715317-2 WHERE Title = '\"Identity Crisis\"'"}
+{"text": "table: 1-10716893-3\ncolumns: Year, Network, Host, Pre-race analyst, Lap-by-lap, Color commentator(s), Pit reporters\nQ: Who does the lap-by-lap in 2011?\nA: SELECT Lap-by-lap FROM 1-10716893-3 WHERE Year = 2011"}
+{"text": "table: 1-10716893-3\ncolumns: Year, Network, Host, Pre-race analyst, Lap-by-lap, Color commentator(s), Pit reporters\nQ: Which network has Marty Reid as host and lap-by-lap broadcaster?\nA: SELECT Network FROM 1-10716893-3 WHERE Lap-by-lap = 'Marty Reid' AND Host = 'Marty Reid'"}
+{"text": "table: 1-10716893-3\ncolumns: Year, Network, Host, Pre-race analyst, Lap-by-lap, Color commentator(s), Pit reporters\nQ: How many pre-race analysis occur when Allen Bestwick does the lap-by-lap?\nA: SELECT COUNT Pre-race analyst FROM 1-10716893-3 WHERE Lap-by-lap = 'Allen Bestwick'"}
+{"text": "table: 1-10718192-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: What's the highest season number of an episode in the series?\nA: SELECT MAX No. in season FROM 1-10718192-2"}
+{"text": "table: 1-10718192-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: When did the episode titled \"Lucky Strike\" air for the first time?\nA: SELECT Original air date FROM 1-10718192-2 WHERE Title = '\"Lucky Strike\"'"}
+{"text": "table: 1-10718192-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: Who was the writer of the episode titled \"One Hit Wonder\"?\nA: SELECT Written by FROM 1-10718192-2 WHERE Title = '\"One Hit Wonder\"'"}
+{"text": "table: 1-10718192-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: What's the date of the first airing of the episode with series number 63?\nA: SELECT Original air date FROM 1-10718192-2 WHERE No. in series = 63"}
+{"text": "table: 1-10718525-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: How many titles got a viewership of 26.53 million?\nA: SELECT COUNT Title FROM 1-10718525-2 WHERE U.S. viewers (millions) = '26.53'"}
+{"text": "table: 1-10718525-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: How many viewers tuned into the show directed by Matt Earl Beesley?\nA: SELECT U.S. viewers (millions) FROM 1-10718525-2 WHERE Directed by = 'Matt Earl Beesley'"}
+{"text": "table: 1-10718631-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: Who wrote episode 94?\nA: SELECT Written by FROM 1-10718631-2 WHERE No. in series = 94"}
+{"text": "table: 1-10718631-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: Which episode was the number in the season where the number in the season is 10?\nA: SELECT No. in series FROM 1-10718631-2 WHERE No. in season = 10"}
+{"text": "table: 1-10718631-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: How many episodes were in the season that had the epiosde of \"crow's feet\"?\nA: SELECT No. in season FROM 1-10718631-2 WHERE Title = '\"Crow's Feet\"'"}
+{"text": "table: 1-10718631-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: When did the 113 episode air?\nA: SELECT Original air date FROM 1-10718631-2 WHERE No. in series = 113"}
+{"text": "table: 1-10718631-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: How many titles were there for the 113 episode?\nA: SELECT COUNT Title FROM 1-10718631-2 WHERE No. in series = 113"}
+{"text": "table: 1-10718984-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: What is the number in the season that Marlene Meyer wrote and 20.49 million people watched?\nA: SELECT MAX No. in season FROM 1-10718984-2 WHERE Written by = 'Marlene Meyer' AND U.S. viewers (millions) = '20.49'"}
+{"text": "table: 1-10718984-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: When did the no. 23 show originally air?\nA: SELECT Original air date FROM 1-10718984-2 WHERE No. in season = 23"}
+{"text": "table: 1-10725629-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Fastest lap, Winning driver, Winning team, Report\nQ: Which circuits had a race on October 4?\nA: SELECT Circuit FROM 1-10725629-2 WHERE Date = 'October 4'"}
+{"text": "table: 1-10725629-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Fastest lap, Winning driver, Winning team, Report\nQ: In which reports does Michael Andretti have the pole position and Galles-Kraco Racing is the winning team?\nA: SELECT Report FROM 1-10725629-2 WHERE Pole position = 'Michael Andretti' AND Winning team = 'Galles-Kraco Racing'"}
+{"text": "table: 1-10725629-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Fastest lap, Winning driver, Winning team, Report\nQ: How many rounds were there of the Bosch Spark Plug Grand Prix?\nA: SELECT COUNT Rnd FROM 1-10725629-2 WHERE Race Name = 'Bosch Spark Plug Grand Prix'"}
+{"text": "table: 1-10725629-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Fastest lap, Winning driver, Winning team, Report\nQ: Which rounds were held on August 9?\nA: SELECT Rnd FROM 1-10725629-2 WHERE Date = 'August 9'"}
+{"text": "table: 1-10725629-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Fastest lap, Winning driver, Winning team, Report\nQ: On how many dates did the Michigan International Speedway hold a round?\nA: SELECT COUNT Date FROM 1-10725629-2 WHERE Circuit = 'Michigan International Speedway'"}
+{"text": "table: 1-10722506-6\ncolumns: Conference, # of Bids, Record, Win %, Round of 32, Sweet Sixteen, Elite Eight, Final Four, Championship Game\nQ: Name the total number of bids of the sun belt conference\nA: SELECT COUNT # of Bids FROM 1-10722506-6 WHERE Conference = 'Sun Belt'"}
+{"text": "table: 1-10722506-6\ncolumns: Conference, # of Bids, Record, Win %, Round of 32, Sweet Sixteen, Elite Eight, Final Four, Championship Game\nQ: Name the round of 32 in conference usa\nA: SELECT Round of 32 FROM 1-10722506-6 WHERE Conference = 'Conference USA'"}
+{"text": "table: 1-10722506-6\ncolumns: Conference, # of Bids, Record, Win %, Round of 32, Sweet Sixteen, Elite Eight, Final Four, Championship Game\nQ: What is the record when round of 32 is 0 and metro atlantic conference?\nA: SELECT Record FROM 1-10722506-6 WHERE Round of 32 = 0 AND Conference = 'Metro Atlantic'"}
+{"text": "table: 1-10722506-6\ncolumns: Conference, # of Bids, Record, Win %, Round of 32, Sweet Sixteen, Elite Eight, Final Four, Championship Game\nQ: What is the number of bids with elite eight larger than 1.0\nA: SELECT COUNT # of Bids FROM 1-10722506-6 WHERE Elite Eight > 1.0"}
+{"text": "table: 1-10749143-2\ncolumns: Series #, Season #, Title, Directed by, Written by, Original air date, Production code, U.S. viewers (millions)\nQ: Who directed the episode with production code 7aff03?\nA: SELECT Directed by FROM 1-10749143-2 WHERE Production code = '7AFF03'"}
+{"text": "table: 1-10749143-2\ncolumns: Series #, Season #, Title, Directed by, Written by, Original air date, Production code, U.S. viewers (millions)\nQ: What is the title of the episode wtih 10.34 million U.S viewers?\nA: SELECT Title FROM 1-10749143-2 WHERE U.S. viewers (millions) = '10.34'"}
+{"text": "table: 1-10748727-1\ncolumns: Season, Series, Team Name, Races, Wins, Poles, F/Laps, Podiums, Points, Position\nQ: What place is the team that completed 6 races?\nA: SELECT Position FROM 1-10748727-1 WHERE Races = 6"}
+{"text": "table: 1-10748727-1\ncolumns: Season, Series, Team Name, Races, Wins, Poles, F/Laps, Podiums, Points, Position\nQ: how much did the british formula three called \"fortec motorsport\" score?\nA: SELECT Points FROM 1-10748727-1 WHERE Series = 'British Formula Three' AND Team Name = 'Fortec Motorsport'"}
+{"text": "table: 1-10748727-1\ncolumns: Season, Series, Team Name, Races, Wins, Poles, F/Laps, Podiums, Points, Position\nQ: how many races were in 2009 with 0 wins?\nA: SELECT Races FROM 1-10748727-1 WHERE Season = '2009' AND Wins = 0"}
+{"text": "table: 1-10748727-1\ncolumns: Season, Series, Team Name, Races, Wins, Poles, F/Laps, Podiums, Points, Position\nQ: What years did art grand prix compete?\nA: SELECT Season FROM 1-10748727-1 WHERE Team Name = 'ART Grand Prix'"}
+{"text": "table: 1-10748727-1\ncolumns: Season, Series, Team Name, Races, Wins, Poles, F/Laps, Podiums, Points, Position\nQ: What year had a score of 9?\nA: SELECT Season FROM 1-10748727-1 WHERE Points = '9'"}
+{"text": "table: 1-10748727-1\ncolumns: Season, Series, Team Name, Races, Wins, Poles, F/Laps, Podiums, Points, Position\nQ: what is the greatest number of wins by japanese formula three?\nA: SELECT MAX Wins FROM 1-10748727-1 WHERE Series = 'Japanese Formula Three'"}
+{"text": "table: 1-10749367-3\ncolumns: #, Air Date, Challenge, Winner, Test-taker, Passed?\nQ: Who took test #4?\nA: SELECT Test-taker FROM 1-10749367-3 WHERE # = 4"}
+{"text": "table: 1-10749367-3\ncolumns: #, Air Date, Challenge, Winner, Test-taker, Passed?\nQ: What episode aired on 18 April 2007?\nA: SELECT MIN # FROM 1-10749367-3 WHERE Air Date = '18 April 2007'"}
+{"text": "table: 1-10749367-3\ncolumns: #, Air Date, Challenge, Winner, Test-taker, Passed?\nQ: Who had the challenge of night driving?\nA: SELECT Test-taker FROM 1-10749367-3 WHERE Challenge = 'Night Driving'"}
+{"text": "table: 1-10798928-1\ncolumns: Year (Ceremony), Film title used in nomination, Original title, Director, Result\nQ: How many directors were there for the film Course Completed?\nA: SELECT COUNT Director FROM 1-10798928-1 WHERE Film title used in nomination = 'Course Completed'"}
+{"text": "table: 1-10798928-1\ncolumns: Year (Ceremony), Film title used in nomination, Original title, Director, Result\nQ: Who directed El Nido?\nA: SELECT Director FROM 1-10798928-1 WHERE Original title = 'El nido'"}
+{"text": "table: 1-10798928-1\ncolumns: Year (Ceremony), Film title used in nomination, Original title, Director, Result\nQ: Who directed Dulcinea?\nA: SELECT Director FROM 1-10798928-1 WHERE Original title = 'Dulcinea'"}
+{"text": "table: 1-10797463-1\ncolumns: Village (German), Village (Slovenian), Number of people 1991, Percent of Slovenes 1991, Percent of Slovenes 1951\nQ: What are the slovenian names of the villages that had 65.9% of slovenes in 1951?\nA: SELECT Village (Slovenian) FROM 1-10797463-1 WHERE Percent of Slovenes 1951 = '65.9%'"}
+{"text": "table: 1-10797463-1\ncolumns: Village (German), Village (Slovenian), Number of people 1991, Percent of Slovenes 1991, Percent of Slovenes 1951\nQ: What are the slovenian names of the villages that had 16.7% of slovenes in 1991?\nA: SELECT Village (Slovenian) FROM 1-10797463-1 WHERE Percent of Slovenes 1991 = '16.7%'"}
+{"text": "table: 1-10797463-1\ncolumns: Village (German), Village (Slovenian), Number of people 1991, Percent of Slovenes 1991, Percent of Slovenes 1951\nQ: How many villages had 21.7% of slovenes in 1991?\nA: SELECT COUNT Village (German) FROM 1-10797463-1 WHERE Percent of Slovenes 1991 = '21.7%'"}
+{"text": "table: 1-10797463-1\ncolumns: Village (German), Village (Slovenian), Number of people 1991, Percent of Slovenes 1991, Percent of Slovenes 1951\nQ: what percent of slovenes did the village called \u010dahor\u010de in slovenian have in 1991?\nA: SELECT Percent of Slovenes 1991 FROM 1-10797463-1 WHERE Village (Slovenian) = '\u010cahor\u010de'"}
+{"text": "table: 1-10797463-1\ncolumns: Village (German), Village (Slovenian), Number of people 1991, Percent of Slovenes 1991, Percent of Slovenes 1951\nQ: What is the slovenian name for the village that in german is known as st.margarethen?\nA: SELECT Village (Slovenian) FROM 1-10797463-1 WHERE Village (German) = 'St.Margarethen'"}
+{"text": "table: 1-10812293-4\ncolumns: Game, Date, Team, Score, High points, High rebounds, High assists, Location Attendance, Record\nQ: For games on December 20, how many points did the scoring leaders get?\nA: SELECT High points FROM 1-10812293-4 WHERE Date = 'December 20'"}
+{"text": "table: 1-10812293-4\ncolumns: Game, Date, Team, Score, High points, High rebounds, High assists, Location Attendance, Record\nQ: Who was the scoring leader and how many points did he get in games on December 23?\nA: SELECT High points FROM 1-10812293-4 WHERE Date = 'December 23'"}
+{"text": "table: 1-10812938-3\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is the pick # for the position de?\nA: SELECT Pick # FROM 1-10812938-3 WHERE Position = 'DE'"}
+{"text": "table: 1-10812938-3\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: Which player went to college at Saint Mary's?\nA: SELECT Player FROM 1-10812938-3 WHERE College = 'Saint Mary's'"}
+{"text": "table: 1-10812938-3\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is the position for the player with cfl team Winnipeg blue bombers?\nA: SELECT Position FROM 1-10812938-3 WHERE CFL Team = 'Winnipeg Blue Bombers'"}
+{"text": "table: 1-10812938-3\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: Which player went to college at Laval?\nA: SELECT Player FROM 1-10812938-3 WHERE College = 'Laval'"}
+{"text": "table: 1-10812938-3\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What was the college for the player with the cfl team of Edmonton Eskimos (via calgary)?\nA: SELECT College FROM 1-10812938-3 WHERE CFL Team = 'Edmonton Eskimos (via Calgary)'"}
+{"text": "table: 1-10812938-5\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What's the team of the player from St. Francis Xavier College?\nA: SELECT CFL Team FROM 1-10812938-5 WHERE College = 'St. Francis Xavier'"}
+{"text": "table: 1-10812938-5\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What player is on the Montreal Alouettes CFl team?\nA: SELECT Player FROM 1-10812938-5 WHERE CFL Team = 'Montreal Alouettes'"}
+{"text": "table: 1-10812938-5\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What's the pick number of the player from Toronto Argonauts?\nA: SELECT MIN Pick # FROM 1-10812938-5 WHERE CFL Team = 'Toronto Argonauts'"}
+{"text": "table: 1-10812938-5\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What's the pick number of the player whose position is CB?\nA: SELECT Pick # FROM 1-10812938-5 WHERE Position = 'CB'"}
+{"text": "table: 1-10812938-5\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What's the pick number of the player from New Mexico?\nA: SELECT MAX Pick # FROM 1-10812938-5 WHERE College = 'New Mexico'"}
+{"text": "table: 1-10812938-5\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What player went to Ohio State College?\nA: SELECT Player FROM 1-10812938-5 WHERE College = 'Ohio State'"}
+{"text": "table: 1-1081459-1\ncolumns: Number Range, Builder, Introduced, No. Built, Region, Withdrawn\nQ: What is the minimum introduced value for the Departmental region?\nA: SELECT MIN Introduced FROM 1-1081459-1 WHERE Region = 'Departmental'"}
+{"text": "table: 1-1081459-1\ncolumns: Number Range, Builder, Introduced, No. Built, Region, Withdrawn\nQ: What is the smallest introduced value?\nA: SELECT MIN Introduced FROM 1-1081459-1"}
+{"text": "table: 1-10812938-4\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: Which CFL Teams drafted an OL in 2006?\nA: SELECT CFL Team FROM 1-10812938-4 WHERE Position = 'OL'"}
+{"text": "table: 1-10812938-4\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: Which college is aligned to the Saskatchewan Roughriders?\nA: SELECT College FROM 1-10812938-4 WHERE CFL Team = 'Saskatchewan Roughriders'"}
+{"text": "table: 1-10812938-4\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What Position did the Hamilton Tiger-Cats (via Ottawa) pick in the 2006 Draft.\nA: SELECT Position FROM 1-10812938-4 WHERE CFL Team = 'Hamilton Tiger-Cats (via Ottawa)'"}
+{"text": "table: 1-10812938-4\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is the earliest pick listed in the table.\nA: SELECT MIN Pick # FROM 1-10812938-4"}
+{"text": "table: 1-10842344-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, Production code, U.S. viewers (millions)\nQ: What episode number had production code e4423?\nA: SELECT MAX No. in season FROM 1-10842344-1 WHERE Production code = 'E4423'"}
+{"text": "table: 1-10842344-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, Production code, U.S. viewers (millions)\nQ: What's the latest episode in a season where the U.S. viewers totaled 14.37 million?\nA: SELECT MAX No. in season FROM 1-10842344-1 WHERE U.S. viewers (millions) = '14.37'"}
+{"text": "table: 1-10842344-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, Production code, U.S. viewers (millions)\nQ: Who directed the episode \"Escape\"?\nA: SELECT Directed by FROM 1-10842344-1 WHERE Title = '\"Escape\"'"}
+{"text": "table: 1-10819266-8\ncolumns: Season, Episodes, Time slot (EST), Season premiere, Season finale, TV season, Rank, Viewers (in millions)\nQ: How many seasons is the season finale on May 26, 2010?\nA: SELECT COUNT Season FROM 1-10819266-8 WHERE Season finale = 'May 26, 2010'"}
+{"text": "table: 1-10819266-8\ncolumns: Season, Episodes, Time slot (EST), Season premiere, Season finale, TV season, Rank, Viewers (in millions)\nQ: What episodes are there where the season premier is September 23, 2009?\nA: SELECT Episodes FROM 1-10819266-8 WHERE Season premiere = 'September 23, 2009'"}
+{"text": "table: 1-10819266-8\ncolumns: Season, Episodes, Time slot (EST), Season premiere, Season finale, TV season, Rank, Viewers (in millions)\nQ: What is the season finale for season 4?\nA: SELECT Season finale FROM 1-10819266-8 WHERE Season = 4"}
+{"text": "table: 1-10819266-8\ncolumns: Season, Episodes, Time slot (EST), Season premiere, Season finale, TV season, Rank, Viewers (in millions)\nQ: How many season premiers have a rank of #21?\nA: SELECT Season premiere FROM 1-10819266-8 WHERE Rank = '#21'"}
+{"text": "table: 1-10819266-8\ncolumns: Season, Episodes, Time slot (EST), Season premiere, Season finale, TV season, Rank, Viewers (in millions)\nQ: What are the seasons where September 26, 2007 is the season premier?\nA: SELECT TV season FROM 1-10819266-8 WHERE Season premiere = 'September 26, 2007'"}
+{"text": "table: 1-10818465-1\ncolumns: Model, RU, Max processors, Processor frequency, Max memory, Max disk capacity, GA Date\nQ: What max processor has a maximum memory of 256 gb?\nA: SELECT Max processors FROM 1-10818465-1 WHERE Max memory = '256 GB'"}
+{"text": "table: 1-10818465-1\ncolumns: Model, RU, Max processors, Processor frequency, Max memory, Max disk capacity, GA Date\nQ: What is the max memory of the t5120 model?\nA: SELECT Max memory FROM 1-10818465-1 WHERE Model = 'T5120'"}
+{"text": "table: 1-10818465-1\ncolumns: Model, RU, Max processors, Processor frequency, Max memory, Max disk capacity, GA Date\nQ: What is the lowest ru?\nA: SELECT MIN RU FROM 1-10818465-1"}
+{"text": "table: 1-10818465-1\ncolumns: Model, RU, Max processors, Processor frequency, Max memory, Max disk capacity, GA Date\nQ: What ga date do the models with 1.0, 1.2, 1.4ghz processor frequencies have?\nA: SELECT GA Date FROM 1-10818465-1 WHERE Processor frequency = '1.0, 1.2, 1.4GHz'"}
+{"text": "table: 1-10818465-1\ncolumns: Model, RU, Max processors, Processor frequency, Max memory, Max disk capacity, GA Date\nQ: What is the ga date of the t5120 model?\nA: SELECT GA Date FROM 1-10818465-1 WHERE Model = 'T5120'"}
+{"text": "table: 1-10815352-1\ncolumns: League, Sport, Country, Season, Games, Average attendance, Total attendance\nQ: What is the sport of the La Liga league?\nA: SELECT Sport FROM 1-10815352-1 WHERE League = 'La Liga'"}
+{"text": "table: 1-10815352-1\ncolumns: League, Sport, Country, Season, Games, Average attendance, Total attendance\nQ: What's the minimum total attendance of the Premier League association football?\nA: SELECT MIN Total attendance FROM 1-10815352-1 WHERE Sport = 'Association football' AND League = 'Premier League'"}
+{"text": "table: 1-10815352-1\ncolumns: League, Sport, Country, Season, Games, Average attendance, Total attendance\nQ: What's the average attendance of the leagues in the season of 2013?\nA: SELECT MIN Average attendance FROM 1-10815352-1 WHERE Season = '2013'"}
+{"text": "table: 1-10815352-1\ncolumns: League, Sport, Country, Season, Games, Average attendance, Total attendance\nQ: What's the total attendance of the leagues in season of 2010?\nA: SELECT COUNT Total attendance FROM 1-10815352-1 WHERE Season = '2010'"}
+{"text": "table: 1-10874596-1\ncolumns: Year [e ] (Ceremony), Film title used in nomination, Original title, Director, Result\nQ: Who were the directors of the film submitted with the title Young T\u00f6rless?\nA: SELECT Director FROM 1-10874596-1 WHERE Film title used in nomination = 'Young T\u00f6rless'"}
+{"text": "table: 1-10874596-1\ncolumns: Year [e ] (Ceremony), Film title used in nomination, Original title, Director, Result\nQ: What was the original title of the film submitted with the title A Woman in Flames?\nA: SELECT Original title FROM 1-10874596-1 WHERE Film title used in nomination = 'A Woman in Flames'"}
+{"text": "table: 1-10874596-1\ncolumns: Year [e ] (Ceremony), Film title used in nomination, Original title, Director, Result\nQ: In what years was a film submitted with the title The Enigma of Kaspar Hauser?\nA: SELECT Year [e ] (Ceremony) FROM 1-10874596-1 WHERE Film title used in nomination = 'The Enigma of Kaspar Hauser'"}
+{"text": "table: 1-10874596-1\ncolumns: Year [e ] (Ceremony), Film title used in nomination, Original title, Director, Result\nQ: Who were the directors of the film with the original title o.k.?\nA: SELECT Director FROM 1-10874596-1 WHERE Original title = 'o.k.'"}
+{"text": "table: 1-1087659-2\ncolumns: Year, Division, League, Reg. Season, Playoffs, Avg. Attendance\nQ: What is the division for the division semifinals playoffs?\nA: SELECT Division FROM 1-1087659-2 WHERE Playoffs = 'Division Semifinals'"}
+{"text": "table: 1-10908676-7\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date\nQ: What is the number in series of \"say uncle\"?\nA: SELECT No. in series FROM 1-10908676-7 WHERE Title = '\"Say Uncle\"'"}
+{"text": "table: 1-10908676-7\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date\nQ: What is the title written by David Mamet?\nA: SELECT Title FROM 1-10908676-7 WHERE Written by = 'David Mamet'"}
+{"text": "table: 1-10942714-1\ncolumns: Rank, English title, Chinese title, Average, Peak, Premiere, Finale, HK viewers\nQ: What was the finale for \u6f6e\u7206\u5927\u72c0\nA: SELECT Finale FROM 1-10942714-1 WHERE Chinese title = '\u6f6e\u7206\u5927\u72c0'"}
+{"text": "table: 1-10942714-1\ncolumns: Rank, English title, Chinese title, Average, Peak, Premiere, Finale, HK viewers\nQ: What was the finale for  \u6f6e\u7206\u5927\u72c0\nA: SELECT Finale FROM 1-10942714-1 WHERE Chinese title = '\u6f6e\u7206\u5927\u72c0'"}
+{"text": "table: 1-10942714-1\ncolumns: Rank, English title, Chinese title, Average, Peak, Premiere, Finale, HK viewers\nQ: How many viewers were there for the premier with 34\nA: SELECT HK viewers FROM 1-10942714-1 WHERE Premiere = 34"}
+{"text": "table: 1-10942714-1\ncolumns: Rank, English title, Chinese title, Average, Peak, Premiere, Finale, HK viewers\nQ: How many are listed under \u6f6e\u7206\u5927\u72c0\nA: SELECT COUNT Peak FROM 1-10942714-1 WHERE Chinese title = '\u6f6e\u7206\u5927\u72c0'"}
+{"text": "table: 1-10953197-2\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: Who was the director of the episode with a production code of 2393059?\nA: SELECT Director FROM 1-10953197-2 WHERE Production code = '2393059'"}
+{"text": "table: 1-10953197-2\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: How many people wrote \"Michael's Game\"?\nA: SELECT COUNT Writer(s) FROM 1-10953197-2 WHERE Title = '\"Michael's Game\"'"}
+{"text": "table: 1-10953197-2\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: When did the episode title \"Duet For One\" air?\nA: SELECT Original air date FROM 1-10953197-2 WHERE Title = '\"Duet for One\"'"}
+{"text": "table: 1-10935548-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, Production code, U.S. viewers (millions)\nQ: Which episode had 16.38 million U.S. viewers?\nA: SELECT Title FROM 1-10935548-1 WHERE U.S. viewers (millions) = '16.38'"}
+{"text": "table: 1-10935548-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, Production code, U.S. viewers (millions)\nQ: What is the production code of the episode written by Jos\u00e9 Molina that aired on October 12, 2004?\nA: SELECT Production code FROM 1-10935548-1 WHERE Written by = 'Jos\u00e9 Molina' AND Original air date = 'October 12, 2004'"}
+{"text": "table: 1-10935548-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, Production code, U.S. viewers (millions)\nQ: What was the original air date of the episode \"Quarry\"?\nA: SELECT Original air date FROM 1-10935548-1 WHERE Title = '\"Quarry\"'"}
+{"text": "table: 1-10935548-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, Production code, U.S. viewers (millions)\nQ: Which episode was directed by Jean de Segonzac?\nA: SELECT Title FROM 1-10935548-1 WHERE Directed by = 'Jean de Segonzac'"}
+{"text": "table: 1-10953197-3\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: what are the original air dates with a production code of 2394087\nA: SELECT Original air date FROM 1-10953197-3 WHERE Production code = '2394087'"}
+{"text": "table: 1-10953197-3\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: Who are the writers for the title \"boxing sydney\"\nA: SELECT Writer(s) FROM 1-10953197-3 WHERE Title = '\"Boxing Sydney\"'"}
+{"text": "table: 1-10953197-3\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: What are the production codes for the title \"all about brooke\"\nA: SELECT Production code FROM 1-10953197-3 WHERE Title = '\"All About Brooke\"'"}
+{"text": "table: 1-10953197-3\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: Who are the writer(s) for the production code 2394084\nA: SELECT Writer(s) FROM 1-10953197-3 WHERE Production code = '2394084'"}
+{"text": "table: 1-10953197-4\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: What's the total number of episodes with the production code 2395113A?\nA: SELECT COUNT Title FROM 1-10953197-4 WHERE Production code = '2395113A'"}
+{"text": "table: 1-10953197-4\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: What's the number of the episode called \"Melrose Unglued\"?\nA: SELECT MAX No. in series FROM 1-10953197-4 WHERE Title = '\"Melrose Unglued\"'"}
+{"text": "table: 1-10953197-4\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: Who's the writer for the episode with a production code 2395114?\nA: SELECT Writer(s) FROM 1-10953197-4 WHERE Production code = '2395114'"}
+{"text": "table: 1-10953197-4\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: Who directed the episode titled \"Full Metal Betsy\"?\nA: SELECT Director FROM 1-10953197-4 WHERE Title = '\"Full Metal Betsy\"'"}
+{"text": "table: 1-10953197-4\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: What's the number of the episode with production code 2395118?\nA: SELECT No. in season FROM 1-10953197-4 WHERE Production code = '2395118'"}
+{"text": "table: 1-10953197-4\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: Who was the writer for the episode with production code 2395096?\nA: SELECT Writer(s) FROM 1-10953197-4 WHERE Production code = '2395096'"}
+{"text": "table: 1-10932739-2\ncolumns: Planet, Planet Type, Semimajor Axis ( AU ), Orbital Period, Radial velocity (m/s), Detectable by:\nQ: What generation of spectrograph is most likely to detect a planet with a radial velocity of 0.089 m/s?\nA: SELECT Detectable by: FROM 1-10932739-2 WHERE Radial velocity (m/s) = '0.089'"}
+{"text": "table: 1-10932739-2\ncolumns: Planet, Planet Type, Semimajor Axis ( AU ), Orbital Period, Radial velocity (m/s), Detectable by:\nQ: How long is the orbital period for the planet that has a semimajor axis of 5.20 au?\nA: SELECT Orbital Period FROM 1-10932739-2 WHERE Semimajor Axis ( AU ) = '5.20'"}
+{"text": "table: 1-10932739-2\ncolumns: Planet, Planet Type, Semimajor Axis ( AU ), Orbital Period, Radial velocity (m/s), Detectable by:\nQ: What generation of spectrograph is Jupiter detected by?\nA: SELECT Detectable by: FROM 1-10932739-2 WHERE Planet = 'Jupiter'"}
+{"text": "table: 1-10932739-2\ncolumns: Planet, Planet Type, Semimajor Axis ( AU ), Orbital Period, Radial velocity (m/s), Detectable by:\nQ: Which planet has an orbital period of 11.86 years?\nA: SELECT Planet FROM 1-10932739-2 WHERE Orbital Period = '11.86 years'"}
+{"text": "table: 1-10953197-7\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: who directed the production code 2398204\nA: SELECT Director FROM 1-10953197-7 WHERE Production code = '2398204'"}
+{"text": "table: 1-10953197-7\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: when did \"unpleasantville\" air?\nA: SELECT Original air date FROM 1-10953197-7 WHERE Title = '\"Unpleasantville\"'"}
+{"text": "table: 1-10960039-1\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is player Alexis Bwenge's pick number?\nA: SELECT Pick # FROM 1-10960039-1 WHERE Player = 'Alexis Bwenge'"}
+{"text": "table: 1-10960039-1\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What player is pick #2?\nA: SELECT Player FROM 1-10960039-1 WHERE Pick # = 2"}
+{"text": "table: 1-10960039-1\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: Which player's college is Saskatchewan?\nA: SELECT Player FROM 1-10960039-1 WHERE College = 'Saskatchewan'"}
+{"text": "table: 1-10960039-1\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is McMaster College's pick number?\nA: SELECT MIN Pick # FROM 1-10960039-1 WHERE College = 'McMaster'"}
+{"text": "table: 1-10953197-6\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: give the least number of times an episode was shown from 1997-1998\nA: SELECT MIN No. in season FROM 1-10953197-6"}
+{"text": "table: 1-10953197-6\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: when was the episode named \"the doctor is in... deep\" first broadcast \nA: SELECT Original air date FROM 1-10953197-6 WHERE Title = '\"The Doctor Is In... Deep\"'"}
+{"text": "table: 1-10953197-6\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: how many times does the episode called \"coop de grace\" appear \nA: SELECT COUNT No. in series FROM 1-10953197-6 WHERE Title = '\"Coop de Grace\"'"}
+{"text": "table: 1-10953197-6\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: what is season 6 sum of both the number of times processing ID 2397162 was assigned and the number of times chip chalmers managed an episode \nA: SELECT MAX No. in season FROM 1-10953197-6 WHERE Director = 'Chip Chalmers' AND Production code = '2397162'"}
+{"text": "table: 1-10966926-2\ncolumns: Round, Choice, Player name, Position, Height, Weight, College\nQ: Which player went to Michigan State?\nA: SELECT Player name FROM 1-10966926-2 WHERE College = 'Michigan State'"}
+{"text": "table: 1-10966926-2\ncolumns: Round, Choice, Player name, Position, Height, Weight, College\nQ: Which player went to college in Oklahoma?\nA: SELECT Player name FROM 1-10966926-2 WHERE College = 'Oklahoma'"}
+{"text": "table: 1-10966926-2\ncolumns: Round, Choice, Player name, Position, Height, Weight, College\nQ: Which position does Colt Brennan play?\nA: SELECT Position FROM 1-10966926-2 WHERE Player name = 'Colt Brennan'"}
+{"text": "table: 1-10966926-2\ncolumns: Round, Choice, Player name, Position, Height, Weight, College\nQ: What is the height of the person that weighs 320 pounds?\nA: SELECT Height FROM 1-10966926-2 WHERE Weight = 320"}
+{"text": "table: 1-10975034-4\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: How many colleges have a DB position?\nA: SELECT COUNT College FROM 1-10975034-4 WHERE Position = 'DB'"}
+{"text": "table: 1-10975034-4\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is the maximum number of picks for the CFL team Calgary Stampeders?\nA: SELECT MAX Pick # FROM 1-10975034-4 WHERE CFL Team = 'Calgary Stampeders'"}
+{"text": "table: 1-10975034-4\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: How many CFL teams are from York college?\nA: SELECT COUNT CFL Team FROM 1-10975034-4 WHERE College = 'York'"}
+{"text": "table: 1-10975034-4\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What CFL teams are part of Simon Fraser college?\nA: SELECT CFL Team FROM 1-10975034-4 WHERE College = 'Simon Fraser'"}
+{"text": "table: 1-10975034-4\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: Which players have a pick number of 27?\nA: SELECT Player FROM 1-10975034-4 WHERE Pick # = 27"}
+{"text": "table: 1-10960039-6\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: How many times were players named brett ralph were selected?\nA: SELECT COUNT Pick # FROM 1-10960039-6 WHERE Player = 'Brett Ralph'"}
+{"text": "table: 1-10960039-6\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What schools did lenard semajuste play for?\nA: SELECT College FROM 1-10960039-6 WHERE Player = 'Lenard Semajuste'"}
+{"text": "table: 1-10960039-6\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is the highest selection number for the saskatchewan roughriders team?\nA: SELECT MAX Pick # FROM 1-10960039-6 WHERE CFL Team = 'Saskatchewan Roughriders'"}
+{"text": "table: 1-10960039-6\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: How many fb players were drafted?\nA: SELECT COUNT Pick # FROM 1-10960039-6 WHERE Position = 'FB'"}
+{"text": "table: 1-10960039-6\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: How many players played for adams state school?\nA: SELECT COUNT Player FROM 1-10960039-6 WHERE College = 'Adams State'"}
+{"text": "table: 1-10960039-6\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What teams drafted players that played for northwood school?\nA: SELECT CFL Team FROM 1-10960039-6 WHERE College = 'Northwood'"}
+{"text": "table: 1-10975034-5\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What college did Craig Zimmer go to?\nA: SELECT College FROM 1-10975034-5 WHERE Player = 'Craig Zimmer'"}
+{"text": "table: 1-10975034-5\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is the pick number of regina?\nA: SELECT Pick # FROM 1-10975034-5 WHERE College = 'Regina'"}
+{"text": "table: 1-10975034-5\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is the player who is lb and cfl team is saskatchewan roughriders?\nA: SELECT Player FROM 1-10975034-5 WHERE Position = 'LB' AND CFL Team = 'Saskatchewan Roughriders'"}
+{"text": "table: 1-10975034-5\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is the cfl team that has a position of ol?\nA: SELECT CFL Team FROM 1-10975034-5 WHERE Position = 'OL'"}
+{"text": "table: 1-10975034-5\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is the number of position where the pick number is 43?\nA: SELECT COUNT Position FROM 1-10975034-5 WHERE Pick # = 43"}
+{"text": "table: 1-10975034-5\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is the cfl team with ryan folk?\nA: SELECT CFL Team FROM 1-10975034-5 WHERE Player = 'Ryan Folk'"}
+{"text": "table: 1-10979230-5\ncolumns: Romaji title, Japanese title, Release date, Reference, Oricon\nQ: What release date is when kids-270 is a reference? \nA: SELECT Release date FROM 1-10979230-5 WHERE Reference = 'KIDS-270'"}
+{"text": "table: 1-10979230-5\ncolumns: Romaji title, Japanese title, Release date, Reference, Oricon\nQ: what is the title where romaji is titles da.i.su.ki\nA: SELECT Japanese title FROM 1-10979230-5 WHERE Romaji title = 'Da.i.su.ki'"}
+{"text": "table: 1-10979230-5\ncolumns: Romaji title, Japanese title, Release date, Reference, Oricon\nQ: what are the title in japanese where the reference is kids-430?\nA: SELECT Japanese title FROM 1-10979230-5 WHERE Reference = 'KIDS-430'"}
+{"text": "table: 1-10979230-5\ncolumns: Romaji title, Japanese title, Release date, Reference, Oricon\nQ: who is the reference when romaji title is heartbreak sniper?\nA: SELECT Reference FROM 1-10979230-5 WHERE Romaji title = 'Heartbreak Sniper'"}
+{"text": "table: 1-10979230-4\ncolumns: Romaji title, Japanese title, Release date, Reference, Oricon\nQ: What rank is \u611b\u306e\u30d0\u30ab on the Japanese singles chart?\nA: SELECT COUNT Oricon FROM 1-10979230-4 WHERE Japanese title = '\u611b\u306e\u30d0\u30ab'"}
+{"text": "table: 1-10979230-4\ncolumns: Romaji title, Japanese title, Release date, Reference, Oricon\nQ: How many songs have mi-chemin as their Japanese name and romanji name?\nA: SELECT COUNT Romaji title FROM 1-10979230-4 WHERE Japanese title = 'Mi-Chemin'"}
+{"text": "table: 1-1099080-1\ncolumns: Condition, Prothrombin time, Partial thromboplastin time, Bleeding time, Platelet count\nQ: What was the  partial thromboplastin time for factor x deficiency as seen in amyloid purpura\nA: SELECT Partial thromboplastin time FROM 1-1099080-1 WHERE Condition = 'Factor X deficiency as seen in amyloid purpura'"}
+{"text": "table: 1-1099080-1\ncolumns: Condition, Prothrombin time, Partial thromboplastin time, Bleeding time, Platelet count\nQ: How many conditions have an unaffected prothrombin time and a prolonged bleeding time\nA: SELECT COUNT Condition FROM 1-1099080-1 WHERE Prothrombin time = 'Unaffected' AND Bleeding time = 'Prolonged'"}
+{"text": "table: 1-1099080-1\ncolumns: Condition, Prothrombin time, Partial thromboplastin time, Bleeding time, Platelet count\nQ: What was the bleeding time for the factor x deficiency as seen in amyloid purpura\nA: SELECT Bleeding time FROM 1-1099080-1 WHERE Condition = 'Factor X deficiency as seen in amyloid purpura'"}
+{"text": "table: 1-1099080-1\ncolumns: Condition, Prothrombin time, Partial thromboplastin time, Bleeding time, Platelet count\nQ: What conditions had both prolonged bleeding times and prolonged partial thromboplastin times\nA: SELECT Condition FROM 1-1099080-1 WHERE Partial thromboplastin time = 'Prolonged' AND Bleeding time = 'Prolonged'"}
+{"text": "table: 1-1099080-1\ncolumns: Condition, Prothrombin time, Partial thromboplastin time, Bleeding time, Platelet count\nQ: What was the bleeding time for  factor xii deficiency\nA: SELECT Bleeding time FROM 1-1099080-1 WHERE Condition = 'Factor XII deficiency'"}
+{"text": "table: 1-1099080-1\ncolumns: Condition, Prothrombin time, Partial thromboplastin time, Bleeding time, Platelet count\nQ: What were the bleeding times when both the platelet count was unaffected and the partial thromboplastin time was unaffected\nA: SELECT Bleeding time FROM 1-1099080-1 WHERE Partial thromboplastin time = 'Unaffected' AND Platelet count = 'Unaffected'"}
+{"text": "table: 1-11019212-1\ncolumns: Location, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday\nQ: what's the\u00a0tuesday\u00a0time with\u00a0location\u00a0being millhopper\nA: SELECT Tuesday FROM 1-11019212-1 WHERE Location = 'Millhopper'"}
+{"text": "table: 1-11019212-1\ncolumns: Location, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday\nQ: what's the\u00a0wednesday time\u00a0with\u00a0monday\u00a0being 10:00-8:00\nA: SELECT Wednesday FROM 1-11019212-1 WHERE Monday = '10:00-8:00'"}
+{"text": "table: 1-11019212-1\ncolumns: Location, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday\nQ: what's the\u00a0thursday\u00a0time with\u00a0location\u00a0being hawthorne\nA: SELECT Thursday FROM 1-11019212-1 WHERE Location = 'Hawthorne'"}
+{"text": "table: 1-11019212-1\ncolumns: Location, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday\nQ: what's the\u00a0saturday\u00a0time with\u00a0wednesday\u00a0being 10:00-5:00\nA: SELECT Saturday FROM 1-11019212-1 WHERE Wednesday = '10:00-5:00'"}
+{"text": "table: 1-11019212-1\ncolumns: Location, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday\nQ: what's the\u00a0thursday\u00a0time with\u00a0sunday\u00a0being 1:00-5:00 and\u00a0tuesday\u00a0being 1:00-7:00\nA: SELECT Thursday FROM 1-11019212-1 WHERE Sunday = '1:00-5:00' AND Tuesday = '1:00-7:00'"}
+{"text": "table: 1-11019212-1\ncolumns: Location, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday\nQ: what's the\u00a0monday\u00a0time with\u00a0tuesday\u00a0being 9:00-6:00\nA: SELECT Monday FROM 1-11019212-1 WHERE Tuesday = '9:00-6:00'"}
+{"text": "table: 1-11056278-3\ncolumns: Rnd, Race Name, Pole position, Fastest lap, Winning driver, Winning team, Report\nQ: What are all the reports where Paul Tracy had the fastest lap?\nA: SELECT Report FROM 1-11056278-3 WHERE Fastest lap = 'Paul Tracy'"}
+{"text": "table: 1-11056278-3\ncolumns: Rnd, Race Name, Pole position, Fastest lap, Winning driver, Winning team, Report\nQ: Who drove the fastest lap at the Tenneco Automotive Grand Prix of Detroit?\nA: SELECT Fastest lap FROM 1-11056278-3 WHERE Race Name = 'Tenneco Automotive Grand Prix of Detroit'"}
+{"text": "table: 1-11056278-3\ncolumns: Rnd, Race Name, Pole position, Fastest lap, Winning driver, Winning team, Report\nQ: Who had the fastest lap in the races won by Max Papis?\nA: SELECT Fastest lap FROM 1-11056278-3 WHERE Winning driver = 'Max Papis'"}
+{"text": "table: 1-11056278-3\ncolumns: Rnd, Race Name, Pole position, Fastest lap, Winning driver, Winning team, Report\nQ: In Round 6, how many winning drivers were there?\nA: SELECT COUNT Winning driver FROM 1-11056278-3 WHERE Rnd = 6"}
+{"text": "table: 1-1104312-5\ncolumns: English name, Original name, Area in km\u00b2, Population at 2010 Census, Number of settlements and villages\nQ: What are the original names of the districts where the population in the 2010 census was 210450?\nA: SELECT Original name FROM 1-1104312-5 WHERE Population at 2010 Census = 210450"}
+{"text": "table: 1-1104312-5\ncolumns: English name, Original name, Area in km\u00b2, Population at 2010 Census, Number of settlements and villages\nQ: What is the original name of the district with the current English name of South Bogor?\nA: SELECT Original name FROM 1-1104312-5 WHERE English name = 'South Bogor'"}
+{"text": "table: 1-1104312-5\ncolumns: English name, Original name, Area in km\u00b2, Population at 2010 Census, Number of settlements and villages\nQ: What is the listed population from the 2010 census of West Bogor?\nA: SELECT MIN Population at 2010 Census FROM 1-1104312-5 WHERE English name = 'West Bogor'"}
+{"text": "table: 1-1104312-5\ncolumns: English name, Original name, Area in km\u00b2, Population at 2010 Census, Number of settlements and villages\nQ: How many districts have an area of 17.72 KM2?\nA: SELECT COUNT English name FROM 1-1104312-5 WHERE Area in km\u00b2 = '17.72'"}
+{"text": "table: 1-1104312-5\ncolumns: English name, Original name, Area in km\u00b2, Population at 2010 Census, Number of settlements and villages\nQ: What is the area in km2 for the district whose original name was Kecamatan Bogor Timur?\nA: SELECT Area in km\u00b2 FROM 1-1104312-5 WHERE Original name = 'Kecamatan Bogor Timur'"}
+{"text": "table: 1-11066073-1\ncolumns: Pilot car No., Colour, Serial No., Engine No., Registration No.\nQ: What is the number of colour with the regisration number of mg-509?\nA: SELECT COUNT Colour FROM 1-11066073-1 WHERE Registration No. = 'MG-509'"}
+{"text": "table: 1-11058032-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: What is the title of the episode directed by Mark Tinker?\nA: SELECT Title FROM 1-11058032-1 WHERE Directed by = 'Mark Tinker'"}
+{"text": "table: 1-11058032-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: What episode in the season was directed by Jeff Melman?\nA: SELECT MIN No. in season FROM 1-11058032-1 WHERE Directed by = 'Jeff Melman'"}
+{"text": "table: 1-11058032-1\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: How many episodes had 16.03 million viewers?\nA: SELECT COUNT No. in series FROM 1-11058032-1 WHERE U.S. viewers (millions) = '16.03'"}
+{"text": "table: 1-11071897-1\ncolumns: Interregnum began, Interregnum ended, Duration, Count Palatine of Saxony, Count Palatine of the Rhine\nQ: What is the number of interregnum for duration 3 months, 6 days?\nA: SELECT COUNT Interregnum ended FROM 1-11071897-1 WHERE Duration = '3 months, 6 days'"}
+{"text": "table: 1-11075747-4\ncolumns: Series #, Episode #, Title, Directed by, Written by, Original air date\nQ: Who directed Episode 8?\nA: SELECT Directed by FROM 1-11075747-4 WHERE Episode # = 8"}
+{"text": "table: 1-11075747-4\ncolumns: Series #, Episode #, Title, Directed by, Written by, Original air date\nQ: Who directed the episode called \"Tell-tale Heart\"?\nA: SELECT Directed by FROM 1-11075747-4 WHERE Title = '\"Tell-Tale Heart\"'"}
+{"text": "table: 1-11075747-4\ncolumns: Series #, Episode #, Title, Directed by, Written by, Original air date\nQ: What was the original air date for Series 36?\nA: SELECT Original air date FROM 1-11075747-4 WHERE Series # = 36"}
+{"text": "table: 1-11075747-4\ncolumns: Series #, Episode #, Title, Directed by, Written by, Original air date\nQ: Who wrote Series 38?\nA: SELECT Written by FROM 1-11075747-4 WHERE Series # = 38"}
+{"text": "table: 1-1108394-24\ncolumns: 1973 Democratic initial primary, Manhattan, The Bronx, Brooklyn, Queens, Richmond [Staten Is.], Total, %\nQ: What is the percentage for manhattan 45,901?\nA: SELECT COUNT % FROM 1-1108394-24 WHERE Manhattan = '45,901'"}
+{"text": "table: 1-1108394-24\ncolumns: 1973 Democratic initial primary, Manhattan, The Bronx, Brooklyn, Queens, Richmond [Staten Is.], Total, %\nQ: Who won the 1973 democratic initial primary for queens of 19%?\nA: SELECT 1973 Democratic initial primary FROM 1-1108394-24 WHERE Queens = '19%'"}
+{"text": "table: 1-1108394-24\ncolumns: 1973 Democratic initial primary, Manhattan, The Bronx, Brooklyn, Queens, Richmond [Staten Is.], Total, %\nQ: What is the manhattan for richmond 35%?\nA: SELECT Manhattan FROM 1-1108394-24 WHERE Richmond [Staten Is.] = '35%'"}
+{"text": "table: 1-1108394-24\ncolumns: 1973 Democratic initial primary, Manhattan, The Bronx, Brooklyn, Queens, Richmond [Staten Is.], Total, %\nQ: What is the queens where richmond staten is 42%?\nA: SELECT Queens FROM 1-1108394-24 WHERE Richmond [Staten Is.] = '42%'"}
+{"text": "table: 1-1108394-43\ncolumns: 1932 (before recount), party, Manhattan, The Bronx, Brooklyn, Queens, Richmond [Staten Is.], Total, %\nQ: what's the\u00a0party\u00a0with\u00a0brooklyn\u00a0value of 51.0%\nA: SELECT party FROM 1-1108394-43 WHERE Brooklyn = '51.0%'"}
+{"text": "table: 1-1108394-43\ncolumns: 1932 (before recount), party, Manhattan, The Bronx, Brooklyn, Queens, Richmond [Staten Is.], Total, %\nQ: what's the\u00a0brooklyn\u00a0with\u00a0queens\u00a0value of 16.8%\nA: SELECT Brooklyn FROM 1-1108394-43 WHERE Queens = '16.8%'"}
+{"text": "table: 1-1108394-43\ncolumns: 1932 (before recount), party, Manhattan, The Bronx, Brooklyn, Queens, Richmond [Staten Is.], Total, %\nQ: what is the minimum total\nA: SELECT MIN Total FROM 1-1108394-43"}
+{"text": "table: 1-1108394-43\ncolumns: 1932 (before recount), party, Manhattan, The Bronx, Brooklyn, Queens, Richmond [Staten Is.], Total, %\nQ: what's the\u00a0%\u00a0with\u00a0total\u00a0value of 249887 and\u00a0queens\u00a0value of 6.8%\nA: SELECT % FROM 1-1108394-43 WHERE Total = 249887 AND Queens = '6.8%'"}
+{"text": "table: 1-11094950-1\ncolumns: Team, Location, Joined, Conference, Division, Previous Conference\nQ: Which teams were in the central division and located in livonia?\nA: SELECT Team FROM 1-11094950-1 WHERE Division = 'Central' AND Location = 'Livonia'"}
+{"text": "table: 1-11094950-1\ncolumns: Team, Location, Joined, Conference, Division, Previous Conference\nQ: Which teams are located in highland township?\nA: SELECT Team FROM 1-11094950-1 WHERE Location = 'Highland Township'"}
+{"text": "table: 1-11094950-1\ncolumns: Team, Location, Joined, Conference, Division, Previous Conference\nQ: What conference was the churchill chargers team in?\nA: SELECT Conference FROM 1-11094950-1 WHERE Team = 'Churchill Chargers'"}
+{"text": "table: 1-11111116-7\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: What was the titles of the episodes written by ken lazebnik?\nA: SELECT Title FROM 1-11111116-7 WHERE Written by = 'Ken LaZebnik'"}
+{"text": "table: 1-11111116-7\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: Who directed an episode that had 2.81 million U.S. viewers?\nA: SELECT Directed by FROM 1-11111116-7 WHERE U.S. viewers (million) = '2.81'"}
+{"text": "table: 1-11111116-7\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: What were the names of the episodes that had 3.02 million U.S. viewers?\nA: SELECT Title FROM 1-11111116-7 WHERE U.S. viewers (million) = '3.02'"}
+{"text": "table: 1-11111116-7\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: What were the original air dates of the episode named \"winds of war\"?\nA: SELECT Original air date FROM 1-11111116-7 WHERE Title = '\"Winds of War\"'"}
+{"text": "table: 1-11111116-7\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: Who directed episodes that had 2.61 million U.S. viewers?\nA: SELECT Directed by FROM 1-11111116-7 WHERE U.S. viewers (million) = '2.61'"}
+{"text": "table: 1-11111116-8\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: How many millions of U.S. viewers watched \"Brace for Impact\"?\nA: SELECT U.S. viewers (million) FROM 1-11111116-8 WHERE Title = '\"Brace for Impact\"'"}
+{"text": "table: 1-11111116-8\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: How many millions of U.S. viewers watched the episode that first aired on March 31, 2013?\nA: SELECT U.S. viewers (million) FROM 1-11111116-8 WHERE Original air date = 'March 31, 2013'"}
+{"text": "table: 1-11111116-8\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: Who wrote the episodes that were viewed by 2.12 million viewers?\nA: SELECT Written by FROM 1-11111116-8 WHERE U.S. viewers (million) = '2.12'"}
+{"text": "table: 1-11111116-6\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: The episode written by Rebecca Dameron aired on what date? \nA: SELECT Original air date FROM 1-11111116-6 WHERE Written by = 'Rebecca Dameron'"}
+{"text": "table: 1-11111116-6\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: Which episode in the series drew 3.6 million U.S. viewers? \nA: SELECT MIN No. in series FROM 1-11111116-6 WHERE U.S. viewers (million) = '3.6'"}
+{"text": "table: 1-11111116-6\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: Who wrote the episode that aired on April 17, 2011? \nA: SELECT Written by FROM 1-11111116-6 WHERE Original air date = 'April 17, 2011'"}
+{"text": "table: 1-11111116-6\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: How many times did episode 79 originally air? \nA: SELECT COUNT Original air date FROM 1-11111116-6 WHERE No. in series = 79"}
+{"text": "table: 1-11111116-6\ncolumns: No. in season, No. in series, Title, Directed by, Written by, Original air date, U.S. viewers (million)\nQ: How many millions of views in the country watched \"Line of Departure\"?\nA: SELECT U.S. viewers (million) FROM 1-11111116-6 WHERE Title = '\"Line of Departure\"'"}
+{"text": "table: 1-11148572-1\ncolumns: Season, MLS Cup Winner, MLS Cup Runner-Up, MLS Supporters Shield Winner, MLS Supporters Shield Runner-Up\nQ: What is the name of the shield winner in which the mls cup winner and mls cup runner up is colorado rapids?\nA: SELECT MLS Cup Winner FROM 1-11148572-1 WHERE MLS Cup Runner-Up = 'Colorado Rapids'"}
+{"text": "table: 1-11148572-1\ncolumns: Season, MLS Cup Winner, MLS Cup Runner-Up, MLS Supporters Shield Winner, MLS Supporters Shield Runner-Up\nQ: What is the name of the shield winner in which the mls cup winner and mls supporters shield runner up is Chivas usa?\nA: SELECT MLS Cup Winner FROM 1-11148572-1 WHERE MLS Supporters Shield Runner-Up = 'Chivas USA'"}
+{"text": "table: 1-11148572-1\ncolumns: Season, MLS Cup Winner, MLS Cup Runner-Up, MLS Supporters Shield Winner, MLS Supporters Shield Runner-Up\nQ: who is the of the shield winnerin which the mls cup runner-up and mls cup winner is real salt lake?\nA: SELECT MLS Cup Runner-Up FROM 1-11148572-1 WHERE MLS Cup Winner = 'Real Salt Lake'"}
+{"text": "table: 1-11148572-1\ncolumns: Season, MLS Cup Winner, MLS Cup Runner-Up, MLS Supporters Shield Winner, MLS Supporters Shield Runner-Up\nQ: Which shield winner has the mls cup runner up and the season is 2000?\nA: SELECT MLS Cup Runner-Up FROM 1-11148572-1 WHERE Season = 2000"}
+{"text": "table: 1-1112176-1\ncolumns: Season, Division, League Apps (Sub), League Goals, FA Cup Apps (Sub), FA Cup Goals, FL Cup Apps (Sub), FL Cup Goals, Other Apps, Other Goals, Total Apps (Sub), Total Goals\nQ: League apps (sub) maximum?\nA: SELECT MAX League Apps (Sub) FROM 1-1112176-1"}
+{"text": "table: 1-1112176-1\ncolumns: Season, Division, League Apps (Sub), League Goals, FA Cup Apps (Sub), FA Cup Goals, FL Cup Apps (Sub), FL Cup Goals, Other Apps, Other Goals, Total Apps (Sub), Total Goals\nQ: When total goals is 11 what was the league apps (sub)?\nA: SELECT MAX League Apps (Sub) FROM 1-1112176-1 WHERE Total Goals = 11"}
+{"text": "table: 1-11129123-1\ncolumns: Episode Air Date, Audition City, Date, First Audition Venue, Callback Date, Callback Venue, Golden Tickets\nQ: Which city had the charleston area convention center as its callback location\nA: SELECT Audition City FROM 1-11129123-1 WHERE Callback Venue = 'Charleston Area Convention Center'"}
+{"text": "table: 1-11129123-1\ncolumns: Episode Air Date, Audition City, Date, First Audition Venue, Callback Date, Callback Venue, Golden Tickets\nQ: When did the callbacks from  rancho bernardo inn air\nA: SELECT Episode Air Date FROM 1-11129123-1 WHERE Callback Venue = 'Rancho Bernardo Inn'"}
+{"text": "table: 1-11147852-1\ncolumns: City of license/Market, Station, Channel TV ( DT ), Year of affiliation, Owned since\nQ: The station located in Albuquerque has been owned since what year?\nA: SELECT Owned since FROM 1-11147852-1 WHERE City of license/Market = 'Albuquerque'"}
+{"text": "table: 1-11147852-1\ncolumns: City of license/Market, Station, Channel TV ( DT ), Year of affiliation, Owned since\nQ: What channels have stations that were affiliated in 2002?\nA: SELECT Channel TV ( DT ) FROM 1-11147852-1 WHERE Year of affiliation = '2002'"}
+{"text": "table: 1-11147852-1\ncolumns: City of license/Market, Station, Channel TV ( DT ), Year of affiliation, Owned since\nQ: What market is KTFK-DT in?\nA: SELECT City of license/Market FROM 1-11147852-1 WHERE Station = 'KTFK-DT'"}
+{"text": "table: 1-11167610-1\ncolumns: Trim, Engine, Turbo, Fuel Delivery, Power, Torque, Transmission, Performance\nQ:  what's the\u00a0engine\u00a0where\u00a0performance\u00a0is 0\u2013100km/h: 10.5s, vmax km/h (mph)\nA: SELECT Engine FROM 1-11167610-1 WHERE Performance = '0\u2013100km/h: 10.5s, VMax km/h (mph)'"}
+{"text": "table: 1-11167610-1\ncolumns: Trim, Engine, Turbo, Fuel Delivery, Power, Torque, Transmission, Performance\nQ:  what's the\u00a0turbo\u00a0where\u00a0trim\u00a0is 2.0 20v\nA: SELECT Turbo FROM 1-11167610-1 WHERE Trim = '2.0 20v'"}
+{"text": "table: 1-11167610-1\ncolumns: Trim, Engine, Turbo, Fuel Delivery, Power, Torque, Transmission, Performance\nQ:  what's the\u00a0torque\u00a0where\u00a0performance\u00a0is 0\u2013100km/h: 7.5s auto, vmax: km/h (mph)\nA: SELECT Torque FROM 1-11167610-1 WHERE Performance = '0\u2013100km/h: 7.5s auto, VMax: km/h (mph)'"}
+{"text": "table: 1-11167610-1\ncolumns: Trim, Engine, Turbo, Fuel Delivery, Power, Torque, Transmission, Performance\nQ:  what's the\u00a0transmission\u00a0where\u00a0turbo\u00a0is yes (mitsubishi td04-16t )\nA: SELECT Transmission FROM 1-11167610-1 WHERE Turbo = 'Yes (Mitsubishi TD04-16t )'"}
+{"text": "table: 1-11167610-1\ncolumns: Trim, Engine, Turbo, Fuel Delivery, Power, Torque, Transmission, Performance\nQ:  what's the\u00a0fuel delivery\u00a0where\u00a0power\u00a0is hp (kw) @6500 rpm\nA: SELECT Fuel Delivery FROM 1-11167610-1 WHERE Power = 'hp (kW) @6500 rpm'"}
+{"text": "table: 1-11167610-1\ncolumns: Trim, Engine, Turbo, Fuel Delivery, Power, Torque, Transmission, Performance\nQ: \" what's the engine with turbo being yes (mitsubishi td04-15g ) \"\nA: SELECT Engine FROM 1-11167610-1 WHERE Turbo = 'Yes (Mitsubishi TD04-15g )'"}
+{"text": "table: 1-11173827-1\ncolumns: Rank, English title, Chinese title, Average, Peak, Premiere, Finale, HK viewers\nQ: What is the english title that has finale as 33 and peak as 42?\nA: SELECT English title FROM 1-11173827-1 WHERE Finale = 33 AND Peak = 42"}
+{"text": "table: 1-11173827-1\ncolumns: Rank, English title, Chinese title, Average, Peak, Premiere, Finale, HK viewers\nQ: What is the english title where the premiere is less than 30.0 and the finale is bigger than 36.0?\nA: SELECT English title FROM 1-11173827-1 WHERE Premiere < 30.0 AND Finale > 36.0"}
+{"text": "table: 1-11173827-1\ncolumns: Rank, English title, Chinese title, Average, Peak, Premiere, Finale, HK viewers\nQ: What is the rank of the chinese title \u7de3\u4f86\u81ea\u6709\u6a5f?\nA: SELECT Rank FROM 1-11173827-1 WHERE Chinese title = '\u7de3\u4f86\u81ea\u6709\u6a5f'"}
+{"text": "table: 1-11173827-1\ncolumns: Rank, English title, Chinese title, Average, Peak, Premiere, Finale, HK viewers\nQ: What amount is the number of hk viewers where chinese title is \u5341\u5144\u5f1f?\nA: SELECT HK viewers FROM 1-11173827-1 WHERE Chinese title = '\u5341\u5144\u5f1f'"}
+{"text": "table: 1-11178271-1\ncolumns: #, Episode, Air Date, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Weekly Rank\nQ: What is the weekly rank with an air date is november 12, 2007?\nA: SELECT Weekly Rank FROM 1-11178271-1 WHERE Air Date = 'November 12, 2007'"}
+{"text": "table: 1-11178271-1\ncolumns: #, Episode, Air Date, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Weekly Rank\nQ: What is the air date of the episode \"blowback\"?\nA: SELECT Air Date FROM 1-11178271-1 WHERE Episode = '\"Blowback\"'"}
+{"text": "table: 1-11178271-1\ncolumns: #, Episode, Air Date, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Weekly Rank\nQ: What is the lowest weekly rank with an air date of november 26, 2007?\nA: SELECT MIN Weekly Rank FROM 1-11178271-1 WHERE Air Date = 'November 26, 2007'"}
+{"text": "table: 1-11178271-1\ncolumns: #, Episode, Air Date, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Weekly Rank\nQ: What is the episode where 18-49 has a rating/share of 3.5/9\nA: SELECT Episode FROM 1-11178271-1 WHERE 18\u201349 (Rating/Share) = '3.5/9'"}
+{"text": "table: 1-11178271-1\ncolumns: #, Episode, Air Date, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Weekly Rank\nQ: What is the viewers where the rating is 5.3?\nA: SELECT Viewers (m) FROM 1-11178271-1 WHERE Rating = '5.3'"}
+{"text": "table: 1-11178271-1\ncolumns: #, Episode, Air Date, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Weekly Rank\nQ: What is the 18-49 rating/share where the viewers is 5.61?\nA: SELECT 18\u201349 (Rating/Share) FROM 1-11178271-1 WHERE Viewers (m) = '5.61'"}
+{"text": "table: 1-11206787-5\ncolumns: Team, Stadium, Capacity, Highest, Lowest, Average\nQ: What is the highest of balmoor/\nA: SELECT Highest FROM 1-11206787-5 WHERE Stadium = 'Balmoor'"}
+{"text": "table: 1-11206787-5\ncolumns: Team, Stadium, Capacity, Highest, Lowest, Average\nQ: What is the number of capacity at somerset park?\nA: SELECT COUNT Capacity FROM 1-11206787-5 WHERE Stadium = 'Somerset Park'"}
+{"text": "table: 1-11206787-5\ncolumns: Team, Stadium, Capacity, Highest, Lowest, Average\nQ: What is the minimum capacity where airdrie united is?\nA: SELECT MIN Capacity FROM 1-11206787-5 WHERE Team = 'Airdrie United'"}
+{"text": "table: 1-11206787-5\ncolumns: Team, Stadium, Capacity, Highest, Lowest, Average\nQ: What is the stadium for alloa athletic?\nA: SELECT Stadium FROM 1-11206787-5 WHERE Team = 'Alloa Athletic'"}
+{"text": "table: 1-11206787-5\ncolumns: Team, Stadium, Capacity, Highest, Lowest, Average\nQ: What is the highest of ayr united?\nA: SELECT MIN Highest FROM 1-11206787-5 WHERE Team = 'Ayr United'"}
+{"text": "table: 1-11206787-5\ncolumns: Team, Stadium, Capacity, Highest, Lowest, Average\nQ: What is the average?\nA: SELECT MIN Average FROM 1-11206787-5"}
+{"text": "table: 1-11190568-7\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment, Position\nQ: When are team Galway's dates of appointment?\nA: SELECT Date of appointment FROM 1-11190568-7 WHERE Team = 'Galway'"}
+{"text": "table: 1-11190568-7\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment, Position\nQ: When are the vacancy dates for outgoing manager Damien Fox?\nA: SELECT Date of vacancy FROM 1-11190568-7 WHERE Outgoing manager = 'Damien Fox'"}
+{"text": "table: 1-11190568-7\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment, Position\nQ: When is the date of vacancy of Davy Fitzgerald being a replacement?\nA: SELECT Date of vacancy FROM 1-11190568-7 WHERE Replaced by = 'Davy FitzGerald'"}
+{"text": "table: 1-11190568-7\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment, Position\nQ: Which team has the outgoing manager John Meyler?\nA: SELECT Team FROM 1-11190568-7 WHERE Outgoing manager = 'John Meyler'"}
+{"text": "table: 1-11200856-1\ncolumns: Hand, 1 credit, 2 credits, 3 credits, 4 credits, 5 credits\nQ: How many times is 3 credits 180?\nA: SELECT COUNT 1 credit FROM 1-11200856-1 WHERE 3 credits = 180"}
+{"text": "table: 1-11200856-1\ncolumns: Hand, 1 credit, 2 credits, 3 credits, 4 credits, 5 credits\nQ: What is the hand for 4 credits is 1600?\nA: SELECT Hand FROM 1-11200856-1 WHERE 4 credits = 1600"}
+{"text": "table: 1-11200856-1\ncolumns: Hand, 1 credit, 2 credits, 3 credits, 4 credits, 5 credits\nQ: How many 3 credits are there with 5 credits of 5?\nA: SELECT COUNT 3 credits FROM 1-11200856-1 WHERE 5 credits = '5'"}
+{"text": "table: 1-11200856-1\ncolumns: Hand, 1 credit, 2 credits, 3 credits, 4 credits, 5 credits\nQ: How many 4 credits is the hand two pair?\nA: SELECT COUNT 4 credits FROM 1-11200856-1 WHERE Hand = 'Two pair'"}
+{"text": "table: 1-11210576-3\ncolumns: Character, Position, Actor, First Episode, Final Episode, Duration, Final Episode Count\nQ: What duration is listed for Christian de la Fuente?\nA: SELECT Duration FROM 1-11210576-3 WHERE Actor = 'Christian de la Fuente'"}
+{"text": "table: 1-11210576-3\ncolumns: Character, Position, Actor, First Episode, Final Episode, Duration, Final Episode Count\nQ: What was the final episode for Dea Agent?\nA: SELECT Final Episode FROM 1-11210576-3 WHERE Position = 'DEA Agent'"}
+{"text": "table: 1-11207040-6\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment\nQ: What days is greenock morton vacant?\nA: SELECT Date of vacancy FROM 1-11207040-6 WHERE Team = 'Greenock Morton'"}
+{"text": "table: 1-11207040-6\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment\nQ: What are the dates of the outgoing manager colin hendry does appointments? \nA: SELECT Date of appointment FROM 1-11207040-6 WHERE Outgoing manager = 'Colin Hendry'"}
+{"text": "table: 1-11207040-6\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment\nQ: What teams does jim mcinally manage?\nA: SELECT Team FROM 1-11207040-6 WHERE Outgoing manager = 'Jim McInally'"}
+{"text": "table: 1-11207040-6\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment\nQ: What days are vacant that were replaced by john brown?\nA: SELECT Date of vacancy FROM 1-11207040-6 WHERE Replaced by = 'John Brown'"}
+{"text": "table: 1-11206916-2\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment\nQ: What manner of departure is listed with an appointment date of 13 march 2008\nA: SELECT Manner of departure FROM 1-11206916-2 WHERE Date of appointment = '13 March 2008'"}
+{"text": "table: 1-11206916-2\ncolumns: Team, Outgoing manager, Manner of departure, Date of vacancy, Replaced by, Date of appointment\nQ: What is the date of appointment for outgoing manager Campbell Money\nA: SELECT Date of appointment FROM 1-11206916-2 WHERE Outgoing manager = 'Campbell Money'"}
+{"text": "table: 1-11207040-5\ncolumns: Team, Stadium, Capacity, Highest, Lowest, Average\nQ: What is the lowest attendance that East End Park has ever had?\nA: SELECT MIN Lowest FROM 1-11207040-5 WHERE Stadium = 'East End Park'"}
+{"text": "table: 1-11207040-5\ncolumns: Team, Stadium, Capacity, Highest, Lowest, Average\nQ: What team plays at Palmerston Park?\nA: SELECT Team FROM 1-11207040-5 WHERE Stadium = 'Palmerston Park'"}
+{"text": "table: 1-11207040-5\ncolumns: Team, Stadium, Capacity, Highest, Lowest, Average\nQ: What is the lowest attandance recorded at Cappielow?\nA: SELECT MIN Lowest FROM 1-11207040-5 WHERE Stadium = 'Cappielow'"}
+{"text": "table: 1-11207040-5\ncolumns: Team, Stadium, Capacity, Highest, Lowest, Average\nQ: What is the highest attendance at a game played by St. Johnstone?\nA: SELECT MAX Highest FROM 1-11207040-5 WHERE Team = 'St. Johnstone'"}
+{"text": "table: 1-11207040-5\ncolumns: Team, Stadium, Capacity, Highest, Lowest, Average\nQ: What is the highest attandence at a Hamilton Academical game?\nA: SELECT MIN Highest FROM 1-11207040-5 WHERE Team = 'Hamilton Academical'"}
+{"text": "table: 1-11214772-1\ncolumns: Year, Champion, Score, Runner-Up, Location, Semi-Finalist #1, Semi-Finalist #2\nQ:  who is the\u00a0champion\u00a0where\u00a0semi-finalist #2\u00a0is na and\u00a0location\u00a0is morrisville, nc\nA: SELECT Champion FROM 1-11214772-1 WHERE Semi-Finalist #2 = 'NA' AND Location = 'Morrisville, NC'"}
+{"text": "table: 1-11214772-1\ncolumns: Year, Champion, Score, Runner-Up, Location, Semi-Finalist #1, Semi-Finalist #2\nQ:  what's the\u00a0score\u00a0where\u00a0year\u00a0is 2007\nA: SELECT Score FROM 1-11214772-1 WHERE Year = '2007'"}
+{"text": "table: 1-11214772-1\ncolumns: Year, Champion, Score, Runner-Up, Location, Semi-Finalist #1, Semi-Finalist #2\nQ: what is the total number of\u00a0semi-finalist #2\u00a0where\u00a0runner-up\u00a0is east carolina\nA: SELECT COUNT Semi-Finalist #2 FROM 1-11214772-1 WHERE Runner-Up = 'East Carolina'"}
+{"text": "table: 1-11214772-1\ncolumns: Year, Champion, Score, Runner-Up, Location, Semi-Finalist #1, Semi-Finalist #2\nQ:  who is the\u00a0semi-finalist #1\u00a0where\u00a0runner-up\u00a0is elon university\nA: SELECT Semi-Finalist #1 FROM 1-11214772-1 WHERE Runner-Up = 'Elon University'"}
+{"text": "table: 1-11214772-1\ncolumns: Year, Champion, Score, Runner-Up, Location, Semi-Finalist #1, Semi-Finalist #2\nQ:  who is the\u00a0runner-up\u00a0where\u00a0year\u00a0is 2004 and\u00a0champion\u00a0is north carolina state\nA: SELECT Runner-Up FROM 1-11214772-1 WHERE Year = '2004' AND Champion = 'North Carolina State'"}
+{"text": "table: 1-11214772-1\ncolumns: Year, Champion, Score, Runner-Up, Location, Semi-Finalist #1, Semi-Finalist #2\nQ:  who is the\u00a0runner-up\u00a0where\u00a0location\u00a0is ellenton, fl and\u00a0year\u00a0is 2004\nA: SELECT Runner-Up FROM 1-11214772-1 WHERE Location = 'Ellenton, FL' AND Year = '2004'"}
+{"text": "table: 1-11214212-1\ncolumns: Year, Numer of Jamaicans granted British citizenship, Naturalisation by residence, Naturalisation by marriage, Registration of a minor child, Registration by other means\nQ: what's the\u00a0naturalisation  by marriage\u00a0with\u00a0numer of jamaicans granted british citizenship\u00a0being 3165\nA: SELECT Naturalisation by marriage FROM 1-11214212-1 WHERE Numer of Jamaicans granted British citizenship = 3165"}
+{"text": "table: 1-11214212-1\ncolumns: Year, Numer of Jamaicans granted British citizenship, Naturalisation by residence, Naturalisation by marriage, Registration of a minor child, Registration by other means\nQ:  how many\u00a0numer of jamaicans granted british citizenship\u00a0with\u00a0naturalisation  by marriage\u00a0being 1060\nA: SELECT COUNT Numer of Jamaicans granted British citizenship FROM 1-11214212-1 WHERE Naturalisation by marriage = 1060"}
+{"text": "table: 1-11214212-1\ncolumns: Year, Numer of Jamaicans granted British citizenship, Naturalisation by residence, Naturalisation by marriage, Registration of a minor child, Registration by other means\nQ: what's the\u00a0naturalisation by marriage\u00a0with\u00a0regbeingtration of a minor child\u00a0being 114\nA: SELECT Naturalisation by marriage FROM 1-11214212-1 WHERE Registration of a minor child = 114"}
+{"text": "table: 1-11214212-1\ncolumns: Year, Numer of Jamaicans granted British citizenship, Naturalisation by residence, Naturalisation by marriage, Registration of a minor child, Registration by other means\nQ: what's the\u00a0numer of jamaicans granted british  citizenship\u00a0with\u00a0naturalisation by residence\u00a0being 927\nA: SELECT Numer of Jamaicans granted British citizenship FROM 1-11214212-1 WHERE Naturalisation by residence = 927"}
+{"text": "table: 1-11214212-1\ncolumns: Year, Numer of Jamaicans granted British citizenship, Naturalisation by residence, Naturalisation by marriage, Registration of a minor child, Registration by other means\nQ: what is the maximum\u00a0year\u00a0with\u00a0registration of a minor child\u00a0being 281\nA: SELECT MAX Year FROM 1-11214212-1 WHERE Registration of a minor child = 281"}
+{"text": "table: 1-11220799-2\ncolumns: Episode Titles, First air date, Reward, Immunity, Exiled, Eliminated, Vote, Finish\nQ: How many episodes had their first air date on March 6, 2008?\nA: SELECT COUNT Episode Titles FROM 1-11220799-2 WHERE First air date = 'March 6, 2008'"}
+{"text": "table: 1-11220799-2\ncolumns: Episode Titles, First air date, Reward, Immunity, Exiled, Eliminated, Vote, Finish\nQ: What were the results of episodes with the first air date of March 6, 2008?\nA: SELECT Finish FROM 1-11220799-2 WHERE First air date = 'March 6, 2008'"}
+{"text": "table: 1-11230937-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: How many millions of viewers watched episode 15?\nA: SELECT U.S. viewers (millions) FROM 1-11230937-2 WHERE No. in season = 15"}
+{"text": "table: 1-11230937-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: How many millions of viewers watched the \"Throwing Heat\" episode?\nA: SELECT U.S. viewers (millions) FROM 1-11230937-2 WHERE Title = '\"Throwing Heat\"'"}
+{"text": "table: 1-11230937-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: How many millions of viewers watched the episode directed by Anthony Hemingway?\nA: SELECT U.S. viewers (millions) FROM 1-11230937-2 WHERE Directed by = 'Anthony Hemingway'"}
+{"text": "table: 1-11222744-2\ncolumns: Year, Title, Format, Studio, Release Date, Copyright Information, Catalog Number\nQ: The Catalog number is 80809 what is the title?\nA: SELECT Title FROM 1-11222744-2 WHERE Catalog Number = '80809'"}
+{"text": "table: 1-11222744-2\ncolumns: Year, Title, Format, Studio, Release Date, Copyright Information, Catalog Number\nQ: where title is beginning callanetics , what is the total of format ?\nA: SELECT COUNT Format FROM 1-11222744-2 WHERE Title = 'Beginning Callanetics'"}
+{"text": "table: 1-11222744-2\ncolumns: Year, Title, Format, Studio, Release Date, Copyright Information, Catalog Number\nQ: where catalog number is 81258 , what are all the studio ?\nA: SELECT Studio FROM 1-11222744-2 WHERE Catalog Number = '81258'"}
+{"text": "table: 1-11222744-2\ncolumns: Year, Title, Format, Studio, Release Date, Copyright Information, Catalog Number\nQ: where title is am/pm callanetics , what are all the copyright information?\nA: SELECT Copyright Information FROM 1-11222744-2 WHERE Title = 'AM/PM Callanetics'"}
+{"text": "table: 1-11236195-2\ncolumns: Season, Grand FinalDate, WinningTeam, Score, LosingTeam, Location, GF Attendance, Clive Churchill Medal\nQ: What was the GF attendance at the location of Sydney Football Stadium, Sydney (6)?\nA: SELECT COUNT GF Attendance FROM 1-11236195-2 WHERE Location = 'Sydney Football Stadium, Sydney (6)'"}
+{"text": "table: 1-11236195-2\ncolumns: Season, Grand FinalDate, WinningTeam, Score, LosingTeam, Location, GF Attendance, Clive Churchill Medal\nQ: Which losing team had a score of 24-12?\nA: SELECT LosingTeam FROM 1-11236195-2 WHERE Score = '24-12'"}
+{"text": "table: 1-11236195-2\ncolumns: Season, Grand FinalDate, WinningTeam, Score, LosingTeam, Location, GF Attendance, Clive Churchill Medal\nQ: What was the losing team in the 1993 season?\nA: SELECT LosingTeam FROM 1-11236195-2 WHERE Season = 1993"}
+{"text": "table: 1-1123802-1\ncolumns: Engine, Power, continuous, Critical altitude This is the highest altitude at which the engine can achieve its full continuous power rating. Above this altitude, power falls off with height as with a naturally aspirated engine . See Supercharger#Altitude effects for details., Power, takeoff, Compression ratio, Supercharger gear ratio, Octane rating, Dry weight\nQ: What was the compression ration when the engine was Wasp Jr. T1B2?\nA: SELECT Compression ratio FROM 1-1123802-1 WHERE Engine = 'Wasp Jr. T1B2'"}
+{"text": "table: 1-1123802-1\ncolumns: Engine, Power, continuous, Critical altitude This is the highest altitude at which the engine can achieve its full continuous power rating. Above this altitude, power falls off with height as with a naturally aspirated engine . See Supercharger#Altitude effects for details., Power, takeoff, Compression ratio, Supercharger gear ratio, Octane rating, Dry weight\nQ: What is the compression ration when the continuous power is hp (kw) at 2,200 RPM and the octane rating is 80/87?\nA: SELECT Compression ratio FROM 1-1123802-1 WHERE Power, continuous = 'hp (kW) at 2,200 RPM' AND Octane rating = '80/87'"}
+{"text": "table: 1-1123802-1\ncolumns: Engine, Power, continuous, Critical altitude This is the highest altitude at which the engine can achieve its full continuous power rating. Above this altitude, power falls off with height as with a naturally aspirated engine . See Supercharger#Altitude effects for details., Power, takeoff, Compression ratio, Supercharger gear ratio, Octane rating, Dry weight\nQ: What is the compression ratio when the continuous power is  hp (KW) at 2,200 RPM and the critical altitude is at sea level?\nA: SELECT COUNT Compression ratio FROM 1-1123802-1 WHERE Power, continuous = 'hp (kW) at 2,200 RPM' AND Critical altitude This is the highest altitude at which the engine can achieve its full continuous power rating. Above this altitude, power falls off with height as with a naturally aspirated engine . See Supercharger#Altitude effects for details. = 'sea level'"}
+{"text": "table: 1-1123802-1\ncolumns: Engine, Power, continuous, Critical altitude This is the highest altitude at which the engine can achieve its full continuous power rating. Above this altitude, power falls off with height as with a naturally aspirated engine . See Supercharger#Altitude effects for details., Power, takeoff, Compression ratio, Supercharger gear ratio, Octane rating, Dry weight\nQ: When the engine is Wasp Jr. T1B2, what is the number needed for takeoff power?\nA: SELECT COUNT Power, takeoff FROM 1-1123802-1 WHERE Engine = 'Wasp Jr. T1B2'"}
+{"text": "table: 1-1123802-1\ncolumns: Engine, Power, continuous, Critical altitude This is the highest altitude at which the engine can achieve its full continuous power rating. Above this altitude, power falls off with height as with a naturally aspirated engine . See Supercharger#Altitude effects for details., Power, takeoff, Compression ratio, Supercharger gear ratio, Octane rating, Dry weight\nQ: When critical altitude is sea level, what is the compression ration for a supercharger gear ratio of 7:1?\nA: SELECT Compression ratio FROM 1-1123802-1 WHERE Critical altitude This is the highest altitude at which the engine can achieve its full continuous power rating. Above this altitude, power falls off with height as with a naturally aspirated engine . See Supercharger#Altitude effects for details. = 'sea level' AND Supercharger gear ratio = '7:1'"}
+{"text": "table: 1-11235334-2\ncolumns: #, Episode, Air Date, Timeslot, Viewers, Weekly Rank for Living\nQ: How many episodes aired on october 27, 2008\nA: SELECT COUNT Episode FROM 1-11235334-2 WHERE Air Date = 'October 27, 2008'"}
+{"text": "table: 1-11235334-2\ncolumns: #, Episode, Air Date, Timeslot, Viewers, Weekly Rank for Living\nQ: The episode \"chapter five: dressed to kill\" had a weekly ranking of what?\nA: SELECT Weekly Rank for Living FROM 1-11235334-2 WHERE Episode = '\"Chapter Five: Dressed to Kill\"'"}
+{"text": "table: 1-11235334-2\ncolumns: #, Episode, Air Date, Timeslot, Viewers, Weekly Rank for Living\nQ: what is the most # that aired on september 29, 2008?\nA: SELECT MAX # FROM 1-11235334-2 WHERE Air Date = 'September 29, 2008'"}
+{"text": "table: 1-11236195-5\ncolumns: Season, Grand FinalDate, WinningTeam, Score, LosingTeam, Location, GF Attendance, Clive Churchill Medal\nQ: How many seasons did the canterbury bulldogs (8) win?\nA: SELECT COUNT Season FROM 1-11236195-5 WHERE WinningTeam = 'Canterbury Bulldogs (8)'"}
+{"text": "table: 1-11236195-5\ncolumns: Season, Grand FinalDate, WinningTeam, Score, LosingTeam, Location, GF Attendance, Clive Churchill Medal\nQ: How many teams lost at the sydney football stadium, sydney (11)?\nA: SELECT COUNT LosingTeam FROM 1-11236195-5 WHERE Location = 'Sydney Football Stadium, Sydney (11)'"}
+{"text": "table: 1-11236195-5\ncolumns: Season, Grand FinalDate, WinningTeam, Score, LosingTeam, Location, GF Attendance, Clive Churchill Medal\nQ: What was the date that the st. george-illawarra dragons lost?\nA: SELECT Grand FinalDate FROM 1-11236195-5 WHERE LosingTeam = 'St. George-Illawarra Dragons'"}
+{"text": "table: 1-11236195-5\ncolumns: Season, Grand FinalDate, WinningTeam, Score, LosingTeam, Location, GF Attendance, Clive Churchill Medal\nQ: Brett kimmorley, who was chosen for the clive churchill medal belonged to what team?\nA: SELECT WinningTeam FROM 1-11236195-5 WHERE Clive Churchill Medal = 'Brett Kimmorley'"}
+{"text": "table: 1-11244302-1\ncolumns: #, Episode, Air Date, Time slot (EST), Rating, Share, 18-49 (Rating/Share), Viewers (m), Rank (Overall)\nQ: What time slots have a 6.3 rating\nA: SELECT Time slot (EST) FROM 1-11244302-1 WHERE Rating = '6.3'"}
+{"text": "table: 1-11244302-1\ncolumns: #, Episode, Air Date, Time slot (EST), Rating, Share, 18-49 (Rating/Share), Viewers (m), Rank (Overall)\nQ: What time slot is the episode \"the way we weren't\" in\nA: SELECT Time slot (EST) FROM 1-11244302-1 WHERE Episode = '\"The Way We Weren't\"'"}
+{"text": "table: 1-11244302-1\ncolumns: #, Episode, Air Date, Time slot (EST), Rating, Share, 18-49 (Rating/Share), Viewers (m), Rank (Overall)\nQ: What time slot is the episode \"who's your daddy\" in\nA: SELECT Time slot (EST) FROM 1-11244302-1 WHERE Episode = '\"Who's Your Daddy\"'"}
+{"text": "table: 1-11244302-1\ncolumns: #, Episode, Air Date, Time slot (EST), Rating, Share, 18-49 (Rating/Share), Viewers (m), Rank (Overall)\nQ: Which air date had an 11 share\nA: SELECT Air Date FROM 1-11244302-1 WHERE Share = 11"}
+{"text": "table: 1-11244302-1\ncolumns: #, Episode, Air Date, Time slot (EST), Rating, Share, 18-49 (Rating/Share), Viewers (m), Rank (Overall)\nQ: Which air date had the 18-49 rating/share of 3.3/9\nA: SELECT Air Date FROM 1-11244302-1 WHERE 18-49 (Rating/Share) = '3.3/9'"}
+{"text": "table: 1-11240028-3\ncolumns: Character, Portrayed by, Relationship, First appearance, Last appearance\nQ: Which characters had their first experience in the episode \"consequences\"?\nA: SELECT Character FROM 1-11240028-3 WHERE First appearance = '\"Consequences\"'"}
+{"text": "table: 1-11240028-3\ncolumns: Character, Portrayed by, Relationship, First appearance, Last appearance\nQ: What episode had the last appearances of the late wife of mac taylor?\nA: SELECT Last appearance FROM 1-11240028-3 WHERE Relationship = 'Late wife of Mac Taylor'"}
+{"text": "table: 1-11240028-3\ncolumns: Character, Portrayed by, Relationship, First appearance, Last appearance\nQ: Which characters were portrayed by reed garrett?\nA: SELECT Portrayed by FROM 1-11240028-3 WHERE Character = 'Reed Garrett'"}
+{"text": "table: 1-11240028-3\ncolumns: Character, Portrayed by, Relationship, First appearance, Last appearance\nQ: How many characters were portrayed by the informant of don flack?\nA: SELECT COUNT Portrayed by FROM 1-11240028-3 WHERE Relationship = 'Informant of Don Flack'"}
+{"text": "table: 1-11240028-3\ncolumns: Character, Portrayed by, Relationship, First appearance, Last appearance\nQ: What episode was the last appearance of the character, rikki sandoval?\nA: SELECT Last appearance FROM 1-11240028-3 WHERE Character = 'Rikki Sandoval'"}
+{"text": "table: 1-11240028-1\ncolumns: Character, Portrayed by, First appearance, Last appearance, Duration, Episodes\nQ: On which episode did actress Sela Ward make her last appearance?\nA: SELECT Last appearance FROM 1-11240028-1 WHERE Portrayed by = 'Sela Ward'"}
+{"text": "table: 1-11240028-1\ncolumns: Character, Portrayed by, First appearance, Last appearance, Duration, Episodes\nQ: Which actors first appeared in \"Zoo York\"?\nA: SELECT Portrayed by FROM 1-11240028-1 WHERE First appearance = '\"Zoo York\"'"}
+{"text": "table: 1-11240028-1\ncolumns: Character, Portrayed by, First appearance, Last appearance, Duration, Episodes\nQ: How many episodes did actress Vanessa Ferlito appear in?\nA: SELECT Episodes FROM 1-11240028-1 WHERE Portrayed by = 'Vanessa Ferlito'"}
+{"text": "table: 1-11240028-1\ncolumns: Character, Portrayed by, First appearance, Last appearance, Duration, Episodes\nQ: Which actors first appeared in episode \"Blink\" 1, 2, 3?\nA: SELECT Portrayed by FROM 1-11240028-1 WHERE First appearance = '\"Blink\" 1, 2, 3'"}
+{"text": "table: 1-11240028-1\ncolumns: Character, Portrayed by, First appearance, Last appearance, Duration, Episodes\nQ: What was the duration of Robert Joy's portrayal?\nA: SELECT COUNT Duration FROM 1-11240028-1 WHERE Portrayed by = 'Robert Joy'"}
+{"text": "table: 1-11240028-1\ncolumns: Character, Portrayed by, First appearance, Last appearance, Duration, Episodes\nQ: Which episode did actor A. J. Buckley last appear in?\nA: SELECT Last appearance FROM 1-11240028-1 WHERE Portrayed by = 'A. J. Buckley'"}
+{"text": "table: 1-11250-4\ncolumns: Club, Position in 2012\u201313, First season in top division, Number of seasons in top division, Number of seasons in the Premier League, First season of current spell in top division, Top division titles, Last top division title\nQ: What is the least top division titles?\nA: SELECT MIN Top division titles FROM 1-11250-4"}
+{"text": "table: 1-11250-4\ncolumns: Club, Position in 2012\u201313, First season in top division, Number of seasons in top division, Number of seasons in the Premier League, First season of current spell in top division, Top division titles, Last top division title\nQ: What is the least number of seasons in top division?\nA: SELECT MIN Number of seasons in top division FROM 1-11250-4"}
+{"text": "table: 1-11253290-2\ncolumns: #, Episode, Rating, Share, Rating/Share (18-49), Viewers (millions), Rank (timeslot), Rank (night), Rank (week)\nQ: How many viewers (millions) were there for rank (week) 20?\nA: SELECT COUNT Viewers (millions) FROM 1-11253290-2 WHERE Rank (week) = '20'"}
+{"text": "table: 1-11253290-2\ncolumns: #, Episode, Rating, Share, Rating/Share (18-49), Viewers (millions), Rank (timeslot), Rank (night), Rank (week)\nQ: What is the rank (timeslot) with the episode name \"dangerous liaisons\"?\nA: SELECT Rank (timeslot) FROM 1-11253290-2 WHERE Episode = '\"Dangerous Liaisons\"'"}
+{"text": "table: 1-11253290-2\ncolumns: #, Episode, Rating, Share, Rating/Share (18-49), Viewers (millions), Rank (timeslot), Rank (night), Rank (week)\nQ: What is the lowest rank (night) for having viewers (millions) 5.25?\nA: SELECT MIN Rank (night) FROM 1-11253290-2 WHERE Viewers (millions) = '5.25'"}
+{"text": "table: 1-11253290-2\ncolumns: #, Episode, Rating, Share, Rating/Share (18-49), Viewers (millions), Rank (timeslot), Rank (night), Rank (week)\nQ: How many times was the episode named \"conference call\"?\nA: SELECT COUNT # FROM 1-11253290-2 WHERE Episode = '\"Conference Call\"'"}
+{"text": "table: 1-11253290-2\ncolumns: #, Episode, Rating, Share, Rating/Share (18-49), Viewers (millions), Rank (timeslot), Rank (night), Rank (week)\nQ: How many times was the rank (night) 11?\nA: SELECT COUNT Viewers (millions) FROM 1-11253290-2 WHERE Rank (night) = 11"}
+{"text": "table: 1-11251601-2\ncolumns: Country, Carbon dioxide emissions per year (10 6 Tons) (2006), Percentage of global total, Avg. emission per km 2 of its land (tons), Carbon dioxide emissions per year (Tons per person) (2007)\nQ: WHAT WAS THE AMOUNT OF CARBON DIOXIDE EMISSIONS  IN 2006 IN THE COUNTRY WHOSE  CO2 EMISSIONS (TONS PER PERSON)  REACHED 1.4 IN 2OO7?\nA: SELECT Carbon dioxide emissions per year (10 6 Tons) (2006) FROM 1-11251601-2 WHERE Carbon dioxide emissions per year (Tons per person) (2007) = '1.4'"}
+{"text": "table: 1-11251601-2\ncolumns: Country, Carbon dioxide emissions per year (10 6 Tons) (2006), Percentage of global total, Avg. emission per km 2 of its land (tons), Carbon dioxide emissions per year (Tons per person) (2007)\nQ: HOW MANY TONS OF CO2 EMISSIONS DID RUSSIA PRODUCE IN 2006?\nA: SELECT MAX Carbon dioxide emissions per year (10 6 Tons) (2006) FROM 1-11251601-2 WHERE Country = 'Russia'"}
+{"text": "table: 1-11251601-2\ncolumns: Country, Carbon dioxide emissions per year (10 6 Tons) (2006), Percentage of global total, Avg. emission per km 2 of its land (tons), Carbon dioxide emissions per year (Tons per person) (2007)\nQ: WHAT PERCENTAGE OF GLOBAL TOTAL EMISSIONS DID INDIA PRODUCE?\nA: SELECT Percentage of global total FROM 1-11251601-2 WHERE Country = 'India'"}
+{"text": "table: 1-11251601-2\ncolumns: Country, Carbon dioxide emissions per year (10 6 Tons) (2006), Percentage of global total, Avg. emission per km 2 of its land (tons), Carbon dioxide emissions per year (Tons per person) (2007)\nQ: HOW MUCH IS THE PERCENTAGE OF GLOBAL TOTAL EMISSIONS IN THE COUNTRY THAT PRODUCED 4.9 TONS PER PERSON IN 2007?\nA: SELECT Percentage of global total FROM 1-11251601-2 WHERE Carbon dioxide emissions per year (Tons per person) (2007) = '4.9'"}
+{"text": "table: 1-11251601-2\ncolumns: Country, Carbon dioxide emissions per year (10 6 Tons) (2006), Percentage of global total, Avg. emission per km 2 of its land (tons), Carbon dioxide emissions per year (Tons per person) (2007)\nQ: WHAT WAS THE AVERAGE EMISSION PER KM 2 IN INDIA?\nA: SELECT MAX Avg. emission per km 2 of its land (tons) FROM 1-11251601-2 WHERE Country = 'India'"}
+{"text": "table: 1-11251109-3\ncolumns: #, Episode, Air Date, Timeslot (EST), Season, Rating, Share, 18\u201349, Viewers (m), Rank (#)\nQ: What is the rank number that aired october 26, 2007?\nA: SELECT Rank (#) FROM 1-11251109-3 WHERE Air Date = 'October 26, 2007'"}
+{"text": "table: 1-11251109-3\ncolumns: #, Episode, Air Date, Timeslot (EST), Season, Rating, Share, 18\u201349, Viewers (m), Rank (#)\nQ: What is the number of rank with the viewership of 5.96 million?\nA: SELECT COUNT Rank (#) FROM 1-11251109-3 WHERE Viewers (m) = '5.96'"}
+{"text": "table: 1-11251109-3\ncolumns: #, Episode, Air Date, Timeslot (EST), Season, Rating, Share, 18\u201349, Viewers (m), Rank (#)\nQ: What is the viewership on november 9, 2007?\nA: SELECT Viewers (m) FROM 1-11251109-3 WHERE Air Date = 'November 9, 2007'"}
+{"text": "table: 1-11254821-2\ncolumns: Finishing position, Points awarded (Platinum), Points awarded (Gold), Points awarded (Silver), Points awarded (Satellite)\nQ: How many platinum points were awarded when 6 gold points were awarded?\nA: SELECT MAX Points awarded (Platinum) FROM 1-11254821-2 WHERE Points awarded (Gold) = 6"}
+{"text": "table: 1-11254821-2\ncolumns: Finishing position, Points awarded (Platinum), Points awarded (Gold), Points awarded (Silver), Points awarded (Satellite)\nQ: What was the range of finishing position for 15 awarded platinum points?\nA: SELECT Finishing position FROM 1-11254821-2 WHERE Points awarded (Platinum) = 15"}
+{"text": "table: 1-11254821-2\ncolumns: Finishing position, Points awarded (Platinum), Points awarded (Gold), Points awarded (Silver), Points awarded (Satellite)\nQ: How many platinum points were awarded for 5th place?\nA: SELECT MAX Points awarded (Platinum) FROM 1-11254821-2 WHERE Finishing position = '5th'"}
+{"text": "table: 1-11254821-2\ncolumns: Finishing position, Points awarded (Platinum), Points awarded (Gold), Points awarded (Silver), Points awarded (Satellite)\nQ: How many platinum points were awarded when 70 silver points were awarded?\nA: SELECT Points awarded (Platinum) FROM 1-11254821-2 WHERE Points awarded (Silver) = 70"}
+{"text": "table: 1-11254821-2\ncolumns: Finishing position, Points awarded (Platinum), Points awarded (Gold), Points awarded (Silver), Points awarded (Satellite)\nQ: How many platinum points were awarded when 9 gold points were awarded?\nA: SELECT Points awarded (Platinum) FROM 1-11254821-2 WHERE Points awarded (Gold) = 9"}
+{"text": "table: 1-11274401-2\ncolumns: No., Episode, Air Date, Timeslot, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Rank (#)\nQ: How did the episode rank that had 2.65 million viewers?\nA: SELECT Rank (#) FROM 1-11274401-2 WHERE Viewers (m) = '2.65'"}
+{"text": "table: 1-11274401-2\ncolumns: No., Episode, Air Date, Timeslot, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Rank (#)\nQ: What was the share for the first episode that ranked 85?\nA: SELECT MIN Share FROM 1-11274401-2 WHERE Rank (#) = '85'"}
+{"text": "table: 1-11274401-2\ncolumns: No., Episode, Air Date, Timeslot, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Rank (#)\nQ: Which timeslot did episode no. 15 hold?\nA: SELECT Timeslot FROM 1-11274401-2 WHERE No. = 15"}
+{"text": "table: 1-11274401-3\ncolumns: No., Episode, Air Date, Timeslot, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Rank (#)\nQ: What was the timeslot for the episode that aired on May 12, 2009?\nA: SELECT Timeslot FROM 1-11274401-3 WHERE Air Date = 'May 12, 2009'"}
+{"text": "table: 1-11274401-3\ncolumns: No., Episode, Air Date, Timeslot, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Rank (#)\nQ: What's the 18-49 (rating/share) of the episode that originally aired on May 5, 2009?\nA: SELECT 18\u201349 (Rating/Share) FROM 1-11274401-3 WHERE Air Date = 'May 5, 2009'"}
+{"text": "table: 1-11274401-3\ncolumns: No., Episode, Air Date, Timeslot, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Rank (#)\nQ: What's the total number of episodes whose original airings were viewed by 1.82 million viewers?\nA: SELECT COUNT Air Date FROM 1-11274401-3 WHERE Viewers (m) = '1.82'"}
+{"text": "table: 1-11274401-3\ncolumns: No., Episode, Air Date, Timeslot, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Rank (#)\nQ: What's the rating of the episode originally aired on May 5, 2009?\nA: SELECT Rating FROM 1-11274401-3 WHERE Air Date = 'May 5, 2009'"}
+{"text": "table: 1-11274401-3\ncolumns: No., Episode, Air Date, Timeslot, Rating, Share, 18\u201349 (Rating/Share), Viewers (m), Rank (#)\nQ: What episode was seen by 2.05 million viewers?\nA: SELECT Episode FROM 1-11274401-3 WHERE Viewers (m) = '2.05'"}
+{"text": "table: 1-11256021-1\ncolumns: Date, Founder, Extroversion Scales, People-task orientation scale, Introverted, Task-Oriented, Extroverted, Task-Oriented, Extroverted, Relationship-Oriented, Introverted, Relationship Oriented, Moderate\nQ:  what's the\u00a0extroverted, relationship-oriented\u00a0where\u00a0extroverted, task-oriented\u00a0is director\nA: SELECT Extroverted, Relationship-Oriented FROM 1-11256021-1 WHERE Extroverted, Task-Oriented = 'Director'"}
+{"text": "table: 1-11256021-1\ncolumns: Date, Founder, Extroversion Scales, People-task orientation scale, Introverted, Task-Oriented, Extroverted, Task-Oriented, Extroverted, Relationship-Oriented, Introverted, Relationship Oriented, Moderate\nQ:  what's the\u00a0extroverted, relationship-oriented\u00a0where\u00a0moderate\u00a0is introverted sanguine\nA: SELECT Extroverted, Relationship-Oriented FROM 1-11256021-1 WHERE Moderate = 'Introverted Sanguine'"}
+{"text": "table: 1-11256021-1\ncolumns: Date, Founder, Extroversion Scales, People-task orientation scale, Introverted, Task-Oriented, Extroverted, Task-Oriented, Extroverted, Relationship-Oriented, Introverted, Relationship Oriented, Moderate\nQ:  what's the\u00a0founder\u00a0where\u00a0moderate\u00a0is ether\nA: SELECT Founder FROM 1-11256021-1 WHERE Moderate = 'ether'"}
+{"text": "table: 1-11256021-1\ncolumns: Date, Founder, Extroversion Scales, People-task orientation scale, Introverted, Task-Oriented, Extroverted, Task-Oriented, Extroverted, Relationship-Oriented, Introverted, Relationship Oriented, Moderate\nQ:  what's the\u00a0extroverted, relationship-oriented\u00a0where\u00a0date\u00a0is c. 1928\nA: SELECT Extroverted, Relationship-Oriented FROM 1-11256021-1 WHERE Date = 'c. 1928'"}
+{"text": "table: 1-11256021-1\ncolumns: Date, Founder, Extroversion Scales, People-task orientation scale, Introverted, Task-Oriented, Extroverted, Task-Oriented, Extroverted, Relationship-Oriented, Introverted, Relationship Oriented, Moderate\nQ:  who is the\u00a0founder\u00a0where\u00a0date\u00a0is c. 1900\nA: SELECT Founder FROM 1-11256021-1 WHERE Date = 'c. 1900'"}
+{"text": "table: 1-11256021-1\ncolumns: Date, Founder, Extroversion Scales, People-task orientation scale, Introverted, Task-Oriented, Extroverted, Task-Oriented, Extroverted, Relationship-Oriented, Introverted, Relationship Oriented, Moderate\nQ:  what's the\u00a0people-task orientation scale\u00a0where\u00a0extroverted, relationship-oriented\u00a0is team type\nA: SELECT People-task orientation scale FROM 1-11256021-1 WHERE Extroverted, Relationship-Oriented = 'Team Type'"}
+{"text": "table: 1-11303072-5\ncolumns: Wicket, Runs, Batting partners, Batting team, Fielding team, Venue, Season\nQ: What is the batting team where the runs are 276?\nA: SELECT Batting team FROM 1-11303072-5 WHERE Runs = '276'"}
+{"text": "table: 1-11303072-5\ncolumns: Wicket, Runs, Batting partners, Batting team, Fielding team, Venue, Season\nQ: Name the batting team at Durham\nA: SELECT Batting team FROM 1-11303072-5 WHERE Fielding team = 'Durham'"}
+{"text": "table: 1-11303072-5\ncolumns: Wicket, Runs, Batting partners, Batting team, Fielding team, Venue, Season\nQ: What is the batting team with the batting partnets of thilina kandamby and rangana herath?\nA: SELECT Batting team FROM 1-11303072-5 WHERE Batting partners = 'Thilina Kandamby and Rangana Herath'"}
+{"text": "table: 1-11303072-5\ncolumns: Wicket, Runs, Batting partners, Batting team, Fielding team, Venue, Season\nQ: What is the fielding team with 155 runs?\nA: SELECT Fielding team FROM 1-11303072-5 WHERE Runs = '155'"}
+{"text": "table: 1-11303072-5\ncolumns: Wicket, Runs, Batting partners, Batting team, Fielding team, Venue, Season\nQ: What is the batting partners with runs of 226?\nA: SELECT Batting partners FROM 1-11303072-5 WHERE Runs = '226'"}
+{"text": "table: 1-11303072-9\ncolumns: Rank, Dismissals, Player, Nationality, Catches, Stumpings, Career Span\nQ: What is the nationality of David Bairstow?\nA: SELECT Nationality FROM 1-11303072-9 WHERE Player = 'David Bairstow'"}
+{"text": "table: 1-11303072-9\ncolumns: Rank, Dismissals, Player, Nationality, Catches, Stumpings, Career Span\nQ: What are the players whose rank is 2?\nA: SELECT Player FROM 1-11303072-9 WHERE Rank = 2"}
+{"text": "table: 1-11303072-9\ncolumns: Rank, Dismissals, Player, Nationality, Catches, Stumpings, Career Span\nQ: How many stumpings has Paul Nixon in his career?\nA: SELECT Stumpings FROM 1-11303072-9 WHERE Player = 'Paul Nixon'"}
+{"text": "table: 1-11303072-9\ncolumns: Rank, Dismissals, Player, Nationality, Catches, Stumpings, Career Span\nQ: Where is Adam Gilchrist from?\nA: SELECT Nationality FROM 1-11303072-9 WHERE Player = 'Adam Gilchrist'"}
+{"text": "table: 1-1130632-1\ncolumns: No. in series, Title, Directed by, Written by, Featured character(s), Original air date, U.S. viewers (million)\nQ: What are the title that have 19.48 million u.s. viewers?\nA: SELECT Title FROM 1-1130632-1 WHERE U.S. viewers (million) = '19.48'"}
+{"text": "table: 1-1130632-1\ncolumns: No. in series, Title, Directed by, Written by, Featured character(s), Original air date, U.S. viewers (million)\nQ: Which titles have 18.73 u.s. viewers.\nA: SELECT Title FROM 1-1130632-1 WHERE U.S. viewers (million) = '18.73'"}
+{"text": "table: 1-1130632-1\ncolumns: No. in series, Title, Directed by, Written by, Featured character(s), Original air date, U.S. viewers (million)\nQ: Who wrote all the shows with 18.73 u.s. viewers?\nA: SELECT Written by FROM 1-1130632-1 WHERE U.S. viewers (million) = '18.73'"}
+{"text": "table: 1-1131183-2\ncolumns: Rank ( WJC ), Rank (ARDA), Metro area, Number of Jews (WJC), Number of Jews (ASARB)\nQ: What is the rank where the area is Los Angeles?\nA: SELECT Rank ( WJC ) FROM 1-1131183-2 WHERE Metro area = 'Los Angeles'"}
+{"text": "table: 1-1131183-2\ncolumns: Rank ( WJC ), Rank (ARDA), Metro area, Number of Jews (WJC), Number of Jews (ASARB)\nQ: What is the number of jews where the rank is 1?\nA: SELECT COUNT Number of Jews (WJC) FROM 1-1131183-2 WHERE Rank (ARDA) = 1"}
+{"text": "table: 1-1131183-2\ncolumns: Rank ( WJC ), Rank (ARDA), Metro area, Number of Jews (WJC), Number of Jews (ASARB)\nQ: What is the number of jews asarb where the metro area is philadelphia?\nA: SELECT Number of Jews (ASARB) FROM 1-1131183-2 WHERE Metro area = 'Philadelphia'"}
+{"text": "table: 1-11318462-5\ncolumns: Crew, Open 1st VIII, Open 2nd VIII, Open 3rd VIII, U16 1st VIII, U16 2nd VIII, U16 3rd VIII, U15 1st IV, U15 2nd IV, U15 3rd IV, U15 4th IV, U15 5th IV, U15 6th IV\nQ: what are all the open 1st viii with u15 6th iv being bgs\nA: SELECT Open 1st VIII FROM 1-11318462-5 WHERE U15 6th IV = 'BGS'"}
+{"text": "table: 1-11318462-5\ncolumns: Crew, Open 1st VIII, Open 2nd VIII, Open 3rd VIII, U16 1st VIII, U16 2nd VIII, U16 3rd VIII, U15 1st IV, U15 2nd IV, U15 3rd IV, U15 4th IV, U15 5th IV, U15 6th IV\nQ: what are all the u16 2nd viii with u15 3rd iv being bbc\nA: SELECT U16 2nd VIII FROM 1-11318462-5 WHERE U15 3rd IV = 'BBC'"}
+{"text": "table: 1-11318462-5\ncolumns: Crew, Open 1st VIII, Open 2nd VIII, Open 3rd VIII, U16 1st VIII, U16 2nd VIII, U16 3rd VIII, U15 1st IV, U15 2nd IV, U15 3rd IV, U15 4th IV, U15 5th IV, U15 6th IV\nQ: what are all the open 1st viii with u15 4th iv being gt\nA: SELECT Open 1st VIII FROM 1-11318462-5 WHERE U15 4th IV = 'GT'"}
+{"text": "table: 1-11318462-5\ncolumns: Crew, Open 1st VIII, Open 2nd VIII, Open 3rd VIII, U16 1st VIII, U16 2nd VIII, U16 3rd VIII, U15 1st IV, U15 2nd IV, U15 3rd IV, U15 4th IV, U15 5th IV, U15 6th IV\nQ: how many crew had u15 3rd iv being bgs and u15 1st iv being acgs and open 1st viii being acgs\nA: SELECT COUNT Crew FROM 1-11318462-5 WHERE U15 3rd IV = 'BGS' AND U15 1st IV = 'ACGS' AND Open 1st VIII = 'ACGS'"}
+{"text": "table: 1-11318462-5\ncolumns: Crew, Open 1st VIII, Open 2nd VIII, Open 3rd VIII, U16 1st VIII, U16 2nd VIII, U16 3rd VIII, U15 1st IV, U15 2nd IV, U15 3rd IV, U15 4th IV, U15 5th IV, U15 6th IV\nQ: what are all the u15 3rd iv with u15 4th iv being bbc\nA: SELECT U15 3rd IV FROM 1-11318462-5 WHERE U15 4th IV = 'BBC'"}
+{"text": "table: 1-11318462-5\ncolumns: Crew, Open 1st VIII, Open 2nd VIII, Open 3rd VIII, U16 1st VIII, U16 2nd VIII, U16 3rd VIII, U15 1st IV, U15 2nd IV, U15 3rd IV, U15 4th IV, U15 5th IV, U15 6th IV\nQ: how many open 2nd viii had u15 3rd iv being gt\nA: SELECT COUNT Open 2nd VIII FROM 1-11318462-5 WHERE U15 3rd IV = 'GT'"}
+{"text": "table: 1-11318462-29\ncolumns: School, Location, Enrolment, Founded, Denomination, Day/Boarding, School Colours, Abbreviation, In competition since\nQ: How many schools have an enrollment of 850?\nA: SELECT COUNT Founded FROM 1-11318462-29 WHERE Enrolment = 850"}
+{"text": "table: 1-11318462-29\ncolumns: School, Location, Enrolment, Founded, Denomination, Day/Boarding, School Colours, Abbreviation, In competition since\nQ: What is the location of the school named Brisbane Girls' Grammar School?\nA: SELECT Location FROM 1-11318462-29 WHERE School = 'Brisbane Girls' Grammar School'"}
+{"text": "table: 1-11318462-29\ncolumns: School, Location, Enrolment, Founded, Denomination, Day/Boarding, School Colours, Abbreviation, In competition since\nQ: How many schools are located in South Brisbane?\nA: SELECT COUNT School FROM 1-11318462-29 WHERE Location = 'South Brisbane'"}
+{"text": "table: 1-11318462-29\ncolumns: School, Location, Enrolment, Founded, Denomination, Day/Boarding, School Colours, Abbreviation, In competition since\nQ: When was SPLC founded?\nA: SELECT MIN Founded FROM 1-11318462-29 WHERE Abbreviation = 'SPLC'"}
+{"text": "table: 1-11318462-29\ncolumns: School, Location, Enrolment, Founded, Denomination, Day/Boarding, School Colours, Abbreviation, In competition since\nQ: What is the enrollment of STM which has been in competition since 1990?\nA: SELECT COUNT Enrolment FROM 1-11318462-29 WHERE In competition since = 1990 AND Abbreviation = 'STM'"}
+{"text": "table: 1-1132568-3\ncolumns: Rd., Grand Prix, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: What number is the Monaco Grand Prix?\nA: SELECT Rd. FROM 1-1132568-3 WHERE Grand Prix = 'Monaco Grand Prix'"}
+{"text": "table: 1-1132568-3\ncolumns: Rd., Grand Prix, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: Who is in the pole position for the French Grand Prix?\nA: SELECT Pole Position FROM 1-1132568-3 WHERE Grand Prix = 'French Grand Prix'"}
+{"text": "table: 1-1132568-3\ncolumns: Rd., Grand Prix, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: What are the numbers for the raceways that are constructed by Ferrari, with Michael Schumacher holding the fastest lap and pole position?\nA: SELECT Rd. FROM 1-1132568-3 WHERE Fastest Lap = 'Michael Schumacher' AND Constructor = 'Ferrari' AND Pole Position = 'Michael Schumacher'"}
+{"text": "table: 1-1132568-3\ncolumns: Rd., Grand Prix, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: How many on the list are called the Austrian Grand Prix?\nA: SELECT COUNT Rd. FROM 1-1132568-3 WHERE Grand Prix = 'Austrian Grand Prix'"}
+{"text": "table: 1-1132568-3\ncolumns: Rd., Grand Prix, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: What number is the Canadian Grand Prix on the list?\nA: SELECT Rd. FROM 1-1132568-3 WHERE Grand Prix = 'Canadian Grand Prix'"}
+{"text": "table: 1-1132588-3\ncolumns: Rd., Grand Prix, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: What is the rd for the canadian grand prix?\nA: SELECT Rd. FROM 1-1132588-3 WHERE Grand Prix = 'Canadian Grand Prix'"}
+{"text": "table: 1-1132588-3\ncolumns: Rd., Grand Prix, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: What is the fastest lap for the european grand prix?\nA: SELECT Fastest Lap FROM 1-1132588-3 WHERE Grand Prix = 'European Grand Prix'"}
+{"text": "table: 1-1132588-3\ncolumns: Rd., Grand Prix, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: What is the pole position for the ferrari at the austrian grand prix?\nA: SELECT Pole Position FROM 1-1132588-3 WHERE Constructor = 'Ferrari' AND Grand Prix = 'Austrian Grand Prix'"}
+{"text": "table: 1-11326124-3\ncolumns: Edition, Zone, Round, Date, Against, Surface, Opponent, Outcome, Result\nQ: What was the result of round 2r?\nA: SELECT Outcome FROM 1-11326124-3 WHERE Round = '2R'"}
+{"text": "table: 1-11326124-3\ncolumns: Edition, Zone, Round, Date, Against, Surface, Opponent, Outcome, Result\nQ: Who did Tina Pisnik verse?\nA: SELECT Against FROM 1-11326124-3 WHERE Opponent = 'Tina Pisnik'"}
+{"text": "table: 1-11326124-3\ncolumns: Edition, Zone, Round, Date, Against, Surface, Opponent, Outcome, Result\nQ: How many rounds were 2r?\nA: SELECT COUNT Result FROM 1-11326124-3 WHERE Round = '2R'"}
+{"text": "table: 1-11326124-3\ncolumns: Edition, Zone, Round, Date, Against, Surface, Opponent, Outcome, Result\nQ: Name the outcome for round 2r\nA: SELECT Outcome FROM 1-11326124-3 WHERE Round = '2R'"}
+{"text": "table: 1-11354111-3\ncolumns: #, Episode, Air Date, Rating, Share, Rating/Share 18\u201349, Viewers (m), Timeslot Rank, Night Rank, Overall Rank\nQ: what's the night rank with viewers (m) of 6.63\nA: SELECT Night Rank FROM 1-11354111-3 WHERE Viewers (m) = '6.63'"}
+{"text": "table: 1-11354111-3\ncolumns: #, Episode, Air Date, Rating, Share, Rating/Share 18\u201349, Viewers (m), Timeslot Rank, Night Rank, Overall Rank\nQ: what's the overall rank with viewers (m) of 7.44\nA: SELECT Overall Rank FROM 1-11354111-3 WHERE Viewers (m) = '7.44'"}
+{"text": "table: 1-11354111-3\ncolumns: #, Episode, Air Date, Rating, Share, Rating/Share 18\u201349, Viewers (m), Timeslot Rank, Night Rank, Overall Rank\nQ: what's the overall rank with rating/share 18\u201349 of 2.1/5\nA: SELECT COUNT Overall Rank FROM 1-11354111-3 WHERE Rating/Share 18\u201349 = '2.1/5'"}
+{"text": "table: 1-11354111-3\ncolumns: #, Episode, Air Date, Rating, Share, Rating/Share 18\u201349, Viewers (m), Timeslot Rank, Night Rank, Overall Rank\nQ: what's the night rank with rating of 6.2\nA: SELECT Night Rank FROM 1-11354111-3 WHERE Rating = '6.2'"}
+{"text": "table: 1-11354111-3\ncolumns: #, Episode, Air Date, Rating, Share, Rating/Share 18\u201349, Viewers (m), Timeslot Rank, Night Rank, Overall Rank\nQ: what's the viewers (m) with episode of \"legacy\"\nA: SELECT Viewers (m) FROM 1-11354111-3 WHERE Episode = '\"Legacy\"'"}
+{"text": "table: 1-1137142-1\ncolumns: Season, Group A Winner, Group B Winner, Group C Winner, Group D Winner\nQ: What is the number of group b winner for francavilla?\nA: SELECT COUNT Group B Winner FROM 1-1137142-1 WHERE Group C Winner = 'Francavilla'"}
+{"text": "table: 1-1137142-1\ncolumns: Season, Group A Winner, Group B Winner, Group C Winner, Group D Winner\nQ: What is the group a winner for modena?\nA: SELECT Group A Winner FROM 1-1137142-1 WHERE Group B Winner = 'Modena'"}
+{"text": "table: 1-1137142-1\ncolumns: Season, Group A Winner, Group B Winner, Group C Winner, Group D Winner\nQ: What is the group a winner for vis pesaro?\nA: SELECT Group A Winner FROM 1-1137142-1 WHERE Group C Winner = 'Vis Pesaro'"}
+{"text": "table: 1-1137142-1\ncolumns: Season, Group A Winner, Group B Winner, Group C Winner, Group D Winner\nQ: What group a winner was for nocerina?\nA: SELECT Group A Winner FROM 1-1137142-1 WHERE Group D Winner = 'Nocerina'"}
+{"text": "table: 1-1137142-1\ncolumns: Season, Group A Winner, Group B Winner, Group C Winner, Group D Winner\nQ: What was the group d winner for modena?\nA: SELECT Group D Winner FROM 1-1137142-1 WHERE Group B Winner = 'Modena'"}
+{"text": "table: 1-1137695-3\ncolumns: Round, Grand Prix, Pole Position, Fastest Lap, Winning Driver, Winning Constructor, Report\nQ: Who had the fastest lap at the brazilian grand prix?\nA: SELECT Fastest Lap FROM 1-1137695-3 WHERE Grand Prix = 'Brazilian Grand Prix'"}
+{"text": "table: 1-1137695-3\ncolumns: Round, Grand Prix, Pole Position, Fastest Lap, Winning Driver, Winning Constructor, Report\nQ: Who was on the pole position at the monaco grand prix?\nA: SELECT Pole Position FROM 1-1137695-3 WHERE Grand Prix = 'Monaco Grand Prix'"}
+{"text": "table: 1-1137695-3\ncolumns: Round, Grand Prix, Pole Position, Fastest Lap, Winning Driver, Winning Constructor, Report\nQ: Who was the winning driver when Michael Schumacher had the pole and the fastest lap?\nA: SELECT Winning Driver FROM 1-1137695-3 WHERE Fastest Lap = 'Michael Schumacher' AND Pole Position = 'Michael Schumacher'"}
+{"text": "table: 1-1137704-2\ncolumns: Round, Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Winning Constructor, Report\nQ: what are all the\u00a0location\u00a0where\u00a0date\u00a0is 5 april\nA: SELECT Location FROM 1-1137704-2 WHERE Date = '5 April'"}
+{"text": "table: 1-1137704-2\ncolumns: Round, Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Winning Constructor, Report\nQ: what are all the\u00a0pole position\u00a0where\u00a0date\u00a0is 26 july\nA: SELECT Pole Position FROM 1-1137704-2 WHERE Date = '26 July'"}
+{"text": "table: 1-1137704-2\ncolumns: Round, Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Winning Constructor, Report\nQ: who are all the\u00a0winning constructors\u00a0where\u00a0fastest lap\u00a0is riccardo patrese and\u00a0location\u00a0is interlagos\nA: SELECT Winning Constructor FROM 1-1137704-2 WHERE Fastest Lap = 'Riccardo Patrese' AND Location = 'Interlagos'"}
+{"text": "table: 1-1137704-2\ncolumns: Round, Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Winning Constructor, Report\nQ: what are all the\u00a0report\u00a0where\u00a0winning constructor\u00a0is williams - renault and\u00a0grand prix\u00a0is south african grand prix\nA: SELECT Report FROM 1-1137704-2 WHERE Winning Constructor = 'Williams - Renault' AND Grand Prix = 'South African Grand Prix'"}
+{"text": "table: 1-1137704-2\ncolumns: Round, Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Winning Constructor, Report\nQ: whatthe minimum\u00a0round\u00a0where\u00a0grand prix\u00a0is german grand prix\nA: SELECT MIN Round FROM 1-1137704-2 WHERE Grand Prix = 'German Grand Prix'"}
+{"text": "table: 1-1137704-2\ncolumns: Round, Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Winning Constructor, Report\nQ: what of the total number of\u00a0date\u00a0where\u00a0grand prix\u00a0is portuguese grand prix\nA: SELECT COUNT Date FROM 1-1137704-2 WHERE Grand Prix = 'Portuguese Grand Prix'"}
+{"text": "table: 1-1137707-2\ncolumns: Round, Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Winning Constructor, Report\nQ: What is the number of pole position with a round of 15?\nA: SELECT COUNT Pole Position FROM 1-1137707-2 WHERE Round = 15"}
+{"text": "table: 1-1137707-2\ncolumns: Round, Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Winning Constructor, Report\nQ: What is the date of the circuit gilles villeneuve?\nA: SELECT Date FROM 1-1137707-2 WHERE Location = 'Circuit Gilles Villeneuve'"}
+{"text": "table: 1-1137707-2\ncolumns: Round, Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Winning Constructor, Report\nQ: What is the location of thierry boutsen?\nA: SELECT Location FROM 1-1137707-2 WHERE Fastest Lap = 'Thierry Boutsen'"}
+{"text": "table: 1-1137718-2\ncolumns: Rd., Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: Who had the pole position at the German Grand Prix?\nA: SELECT Pole Position FROM 1-1137718-2 WHERE Grand Prix = 'German Grand Prix'"}
+{"text": "table: 1-1137718-2\ncolumns: Rd., Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: Which rd. occurred on 22 October?\nA: SELECT MIN Rd. FROM 1-1137718-2 WHERE Date = '22 October'"}
+{"text": "table: 1-1137718-2\ncolumns: Rd., Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: Who was the winning driver on 13 August?\nA: SELECT Winning Driver FROM 1-1137718-2 WHERE Date = '13 August'"}
+{"text": "table: 1-1137718-2\ncolumns: Rd., Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: What was the fastest lap at the Mexican Grand Prix?\nA: SELECT Fastest Lap FROM 1-1137718-2 WHERE Grand Prix = 'Mexican Grand Prix'"}
+{"text": "table: 1-1137718-2\ncolumns: Rd., Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: Which rd. took place at Hockenheimring?\nA: SELECT MIN Rd. FROM 1-1137718-2 WHERE Location = 'Hockenheimring'"}
+{"text": "table: 1-1137718-2\ncolumns: Rd., Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: How many drivers had the fastest lap at Silverstone?\nA: SELECT COUNT Fastest Lap FROM 1-1137718-2 WHERE Location = 'Silverstone'"}
+{"text": "table: 1-11381701-3\ncolumns: Source, Date, Method, iOS, Android, BlackBerry, Symbian / Series 40, Bada, Windows, Other\nQ: What is the percentage of Android use when Windows is 1.15%?\nA: SELECT Android FROM 1-11381701-3 WHERE Windows = '1.15%'"}
+{"text": "table: 1-11381701-3\ncolumns: Source, Date, Method, iOS, Android, BlackBerry, Symbian / Series 40, Bada, Windows, Other\nQ: On which dates was the value of Bada 0.05%?\nA: SELECT Date FROM 1-11381701-3 WHERE Bada = '0.05%'"}
+{"text": "table: 1-11381701-3\ncolumns: Source, Date, Method, iOS, Android, BlackBerry, Symbian / Series 40, Bada, Windows, Other\nQ: When the value of \"other\" is 0.7%, what is the percentage for Windows?\nA: SELECT Windows FROM 1-11381701-3 WHERE Other = '0.7%'"}
+{"text": "table: 1-11381701-3\ncolumns: Source, Date, Method, iOS, Android, BlackBerry, Symbian / Series 40, Bada, Windows, Other\nQ: When Symbian/Series 40 is 0.40%, what is the percentage of \"other\"?\nA: SELECT Other FROM 1-11381701-3 WHERE Symbian / Series 40 = '0.40%'"}
+{"text": "table: 1-11381701-3\ncolumns: Source, Date, Method, iOS, Android, BlackBerry, Symbian / Series 40, Bada, Windows, Other\nQ: Which source shows Blackberry at 2.9%?\nA: SELECT Source FROM 1-11381701-3 WHERE BlackBerry = '2.9%'"}
+{"text": "table: 1-11390711-4\ncolumns: English Name, Japanese orthography, Pronouciation, abbreviation, Provider(IAI), Foundation\nQ: Which colleges have the english abbreviation MTC?\nA: SELECT English Name FROM 1-11390711-4 WHERE abbreviation = 'MTC'"}
+{"text": "table: 1-11390711-4\ncolumns: English Name, Japanese orthography, Pronouciation, abbreviation, Provider(IAI), Foundation\nQ: What is the Japanese orthography for the English name National Farmers Academy?\nA: SELECT Japanese orthography FROM 1-11390711-4 WHERE English Name = 'National Farmers Academy'"}
+{"text": "table: 1-11390711-4\ncolumns: English Name, Japanese orthography, Pronouciation, abbreviation, Provider(IAI), Foundation\nQ: What is the abbreviation for the college pronounced \"k\u014dk\u016b daigakk\u014d\"?\nA: SELECT abbreviation FROM 1-11390711-4 WHERE Pronouciation = 'K\u014dk\u016b Daigakk\u014d'"}
+{"text": "table: 1-11390711-4\ncolumns: English Name, Japanese orthography, Pronouciation, abbreviation, Provider(IAI), Foundation\nQ: How many providers were founded in 1964?\nA: SELECT COUNT Provider(IAI) FROM 1-11390711-4 WHERE Foundation = 1964"}
+{"text": "table: 1-11390711-4\ncolumns: English Name, Japanese orthography, Pronouciation, abbreviation, Provider(IAI), Foundation\nQ: What is the Japanese orthography for National Fisheries University?\nA: SELECT Japanese orthography FROM 1-11390711-4 WHERE English Name = 'National Fisheries University'"}
+{"text": "table: 1-11391954-3\ncolumns: Country, Total, Marathon (mens), Marathon (womens), Half Marathon (mens), Half Marathon (womens)\nQ: What is the minimum number for the half marathon (womens)?\nA: SELECT MIN Half Marathon (womens) FROM 1-11391954-3"}
+{"text": "table: 1-11391954-3\ncolumns: Country, Total, Marathon (mens), Marathon (womens), Half Marathon (mens), Half Marathon (womens)\nQ: Whatis the total number of half marathon (mens) that represented kazakhstan?\nA: SELECT COUNT Half Marathon (mens) FROM 1-11391954-3 WHERE Country = 'Kazakhstan'"}
+{"text": "table: 1-11391954-3\ncolumns: Country, Total, Marathon (mens), Marathon (womens), Half Marathon (mens), Half Marathon (womens)\nQ: What is amount of countries where half marathon (women) is larger than 1.0?\nA: SELECT COUNT Country FROM 1-11391954-3 WHERE Half Marathon (womens) > 1.0"}
+{"text": "table: 1-11391954-3\ncolumns: Country, Total, Marathon (mens), Marathon (womens), Half Marathon (mens), Half Marathon (womens)\nQ: How many times is Moldova the winner of half marathon (womens)?\nA: SELECT COUNT Half Marathon (womens) FROM 1-11391954-3 WHERE Country = 'Moldova'"}
+{"text": "table: 1-11391954-3\ncolumns: Country, Total, Marathon (mens), Marathon (womens), Half Marathon (mens), Half Marathon (womens)\nQ: Which country has half marathon (womens) that is larger than 1.0?\nA: SELECT Country FROM 1-11391954-3 WHERE Half Marathon (womens) > 1.0"}
+{"text": "table: 1-1139087-2\ncolumns: Rd., Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: What is the make of the car that won the brazilian grand prix?\nA: SELECT Constructor FROM 1-1139087-2 WHERE Grand Prix = 'Brazilian Grand Prix'"}
+{"text": "table: 1-1139087-2\ncolumns: Rd., Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: Who drove the fastest lap for round 8?\nA: SELECT Fastest Lap FROM 1-1139087-2 WHERE Rd. = 8"}
+{"text": "table: 1-1139087-2\ncolumns: Rd., Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: What day was the grand prix in jerez?\nA: SELECT Date FROM 1-1139087-2 WHERE Location = 'Jerez'"}
+{"text": "table: 1-1139087-2\ncolumns: Rd., Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: What event was in detroit?\nA: SELECT Grand Prix FROM 1-1139087-2 WHERE Location = 'Detroit'"}
+{"text": "table: 1-1139087-2\ncolumns: Rd., Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: How many events did nigel mansell drive the fastest and a mclaren - honda win?\nA: SELECT COUNT Grand Prix FROM 1-1139087-2 WHERE Constructor = 'McLaren - Honda' AND Fastest Lap = 'Nigel Mansell'"}
+{"text": "table: 1-1139087-2\ncolumns: Rd., Grand Prix, Date, Location, Pole Position, Fastest Lap, Winning Driver, Constructor, Report\nQ: What day is the french grand prix\nA: SELECT Date FROM 1-1139087-2 WHERE Grand Prix = 'French Grand Prix'"}
+{"text": "table: 1-1139835-3\ncolumns: Year, Winners, Grand Finalist, Scores, Venue, Crowd, Margin, Season Result\nQ:  who is the\u00a0winners\u00a0where\u00a0season result\u00a0is 7th\nA: SELECT Winners FROM 1-1139835-3 WHERE Season Result = '7th'"}
+{"text": "table: 1-1139835-3\ncolumns: Year, Winners, Grand Finalist, Scores, Venue, Crowd, Margin, Season Result\nQ:  who is the\u00a0winners\u00a0where\u00a0season result\u00a0is 9th\nA: SELECT Winners FROM 1-1139835-3 WHERE Season Result = '9th'"}
+{"text": "table: 1-1139835-3\ncolumns: Year, Winners, Grand Finalist, Scores, Venue, Crowd, Margin, Season Result\nQ:  what's the\u00a0grand finalist\u00a0where\u00a0winners\u00a0is collingwood\nA: SELECT Grand Finalist FROM 1-1139835-3 WHERE Winners = 'Collingwood'"}
+{"text": "table: 1-1139835-3\ncolumns: Year, Winners, Grand Finalist, Scores, Venue, Crowd, Margin, Season Result\nQ:  who is the\u00a0season result\u00a0where\u00a0margin\u00a0is 51\nA: SELECT Season Result FROM 1-1139835-3 WHERE Margin = 51"}
+{"text": "table: 1-1139835-3\ncolumns: Year, Winners, Grand Finalist, Scores, Venue, Crowd, Margin, Season Result\nQ:  who is the\u00a0grand finalist\u00a0where\u00a0scores\u00a0is 11.11 (77) \u2013 10.8 (68)\nA: SELECT Grand Finalist FROM 1-1139835-3 WHERE Scores = '11.11 (77) \u2013 10.8 (68)'"}
+{"text": "table: 1-1139835-3\ncolumns: Year, Winners, Grand Finalist, Scores, Venue, Crowd, Margin, Season Result\nQ:  who is the\u00a0grand finalist\u00a0where\u00a0scores\u00a0is 8.9 (57) \u2013 7.12 (54)\nA: SELECT Grand Finalist FROM 1-1139835-3 WHERE Scores = '8.9 (57) \u2013 7.12 (54)'"}
+{"text": "table: 1-1139835-1\ncolumns: Year, Winners, Grand Finalist, Scores, Venue, Crowd, Margin, Season Result\nQ: what was the crowd when the scores are 10.12 (72) \u2013 8.11 (59)?\nA: SELECT MAX Crowd FROM 1-1139835-1 WHERE Scores = '10.12 (72) \u2013 8.11 (59)'"}
+{"text": "table: 1-1139835-1\ncolumns: Year, Winners, Grand Finalist, Scores, Venue, Crowd, Margin, Season Result\nQ: what is the venue where the scores are 15.13 (103) \u2013 8.4 (52)?\nA: SELECT Venue FROM 1-1139835-1 WHERE Scores = '15.13 (103) \u2013 8.4 (52)'"}
+{"text": "table: 1-1139835-1\ncolumns: Year, Winners, Grand Finalist, Scores, Venue, Crowd, Margin, Season Result\nQ: what is the venue where the margin is 4?\nA: SELECT Venue FROM 1-1139835-1 WHERE Margin = 4"}
+{"text": "table: 1-1139835-1\ncolumns: Year, Winners, Grand Finalist, Scores, Venue, Crowd, Margin, Season Result\nQ: what is the crowd when the grand finalist was south melbourne?\nA: SELECT Crowd FROM 1-1139835-1 WHERE Grand Finalist = 'South Melbourne'"}
+{"text": "table: 1-1140067-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: What was the date for monaco grand prix?\nA: SELECT Date FROM 1-1140067-2 WHERE Race = 'Monaco Grand Prix'"}
+{"text": "table: 1-1140067-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: What was the date for the pole position of alain prost?\nA: SELECT Date FROM 1-1140067-2 WHERE Pole Position = 'Alain Prost'"}
+{"text": "table: 1-1140067-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: What is the race winer of the portuguese grand prix?\nA: SELECT Race Winner FROM 1-1140067-2 WHERE Race = 'Portuguese Grand Prix'"}
+{"text": "table: 1-1140074-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what's the\u00a0race winner\u00a0with\u00a0date\u00a0being 12 june\nA: SELECT Race Winner FROM 1-1140074-2 WHERE Date = '12 June'"}
+{"text": "table: 1-1140074-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what's the\u00a0constructor\u00a0with\u00a0location\u00a0being hockenheimring\nA: SELECT Constructor FROM 1-1140074-2 WHERE Location = 'Hockenheimring'"}
+{"text": "table: 1-1140074-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what's the\u00a0race winner\u00a0with\u00a0location\u00a0being jacarepagu\u00e1\nA: SELECT Race Winner FROM 1-1140074-2 WHERE Location = 'Jacarepagu\u00e1'"}
+{"text": "table: 1-1140074-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what's the total number of\u00a0race winner\u00a0with\u00a0rnd\u00a0being 10\nA: SELECT COUNT Race Winner FROM 1-1140074-2 WHERE Rnd = 10"}
+{"text": "table: 1-1140074-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what's the\u00a0pole position\u00a0with\u00a0location\u00a0being hockenheimring\nA: SELECT Pole Position FROM 1-1140074-2 WHERE Location = 'Hockenheimring'"}
+{"text": "table: 1-1140074-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what's the\u00a0report\u00a0with\u00a0rnd\u00a0being 4\nA: SELECT Report FROM 1-1140074-2 WHERE Rnd = 4"}
+{"text": "table: 1-1139835-9\ncolumns: Season, Premier, Runner Up, Score, Venue, Attendance, Premiership\nQ: What venue has an attendance of 30824 at Essendon in 1984?\nA: SELECT Venue FROM 1-1139835-9 WHERE Premier = 'Essendon' AND Attendance = 30824"}
+{"text": "table: 1-1139835-9\ncolumns: Season, Premier, Runner Up, Score, Venue, Attendance, Premiership\nQ: What other venue was a runner up to Hawthorn?\nA: SELECT Venue FROM 1-1139835-9 WHERE Runner Up = 'Hawthorn'"}
+{"text": "table: 1-1139835-9\ncolumns: Season, Premier, Runner Up, Score, Venue, Attendance, Premiership\nQ: What is the other premiership when the runner up wis Geelong?\nA: SELECT Premiership FROM 1-1139835-9 WHERE Runner Up = 'Geelong'"}
+{"text": "table: 1-1139835-9\ncolumns: Season, Premier, Runner Up, Score, Venue, Attendance, Premiership\nQ: Who are all the runner ups when the score is 9.12 (66) \u2013 5.6 (36)?\nA: SELECT Runner Up FROM 1-1139835-9 WHERE Score = '9.12 (66) \u2013 5.6 (36)'"}
+{"text": "table: 1-1140073-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: Who had the fastest lap in the race where Patrick Tambay was on the pole?\nA: SELECT Fastest Lap FROM 1-1140073-2 WHERE Pole Position = 'Patrick Tambay'"}
+{"text": "table: 1-1140073-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: What race had Nelson Piquet on the pole and was in N\u00fcrburgring?\nA: SELECT Race FROM 1-1140073-2 WHERE Pole Position = 'Nelson Piquet' AND Location = 'N\u00fcrburgring'"}
+{"text": "table: 1-1140073-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: How many rounds did Patrick Tambay record the fastest lap?\nA: SELECT COUNT Rnd FROM 1-1140073-2 WHERE Fastest Lap = 'Patrick Tambay'"}
+{"text": "table: 1-1140073-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: Which race is located in kyalami?\nA: SELECT Race FROM 1-1140073-2 WHERE Location = 'Kyalami'"}
+{"text": "table: 1-1140077-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: What is the fastest lap with pole position of gilles villeneuve?\nA: SELECT Fastest Lap FROM 1-1140077-2 WHERE Pole Position = 'Gilles Villeneuve'"}
+{"text": "table: 1-1140077-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: Who did the fastest lap in the dutch grand prix?\nA: SELECT Fastest Lap FROM 1-1140077-2 WHERE Race = 'Dutch Grand Prix'"}
+{"text": "table: 1-1140077-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: Who did the fastest lap with the race winner john watson?\nA: SELECT Fastest Lap FROM 1-1140077-2 WHERE Race Winner = 'John Watson'"}
+{"text": "table: 1-1140076-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: What is the constructor for 9 May?\nA: SELECT Constructor FROM 1-1140076-2 WHERE Date = '9 May'"}
+{"text": "table: 1-1140076-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: What is the pole position for the race with the fastest lap by Nelson Piquet and the constructor is Ferrari?\nA: SELECT Pole Position FROM 1-1140076-2 WHERE Fastest Lap = 'Nelson Piquet' AND Constructor = 'Ferrari'"}
+{"text": "table: 1-1140076-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: What is the report listed for the race in San Marino Grand Prix?\nA: SELECT Report FROM 1-1140076-2 WHERE Race = 'San Marino Grand Prix'"}
+{"text": "table: 1-1140076-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: Who was the constructor in the location Monza?\nA: SELECT Constructor FROM 1-1140076-2 WHERE Location = 'Monza'"}
+{"text": "table: 1-1140076-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: How many races had the pole position Alain Prost and the race winner Keke Rosberg?\nA: SELECT COUNT Race FROM 1-1140076-2 WHERE Pole Position = 'Alain Prost' AND Race Winner = 'Keke Rosberg'"}
+{"text": "table: 1-1140080-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what's the\u00a0report\u00a0with\u00a0location\u00a0 \u00f6sterreichring\nA: SELECT Report FROM 1-1140080-2 WHERE Location = '\u00d6sterreichring'"}
+{"text": "table: 1-1140080-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what's the\u00a0report\u00a0with\u00a0race\u00a0argentine grand prix\nA: SELECT Report FROM 1-1140080-2 WHERE Race = 'Argentine Grand Prix'"}
+{"text": "table: 1-1140080-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what's the minimum\u00a0rnd\u00a0with\u00a0race\u00a0 italian grand prix\nA: SELECT MIN Rnd FROM 1-1140080-2 WHERE Race = 'Italian Grand Prix'"}
+{"text": "table: 1-1140080-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what's the total number of\u00a0report\u00a0with\u00a0date\u00a0 29 april\nA: SELECT COUNT Report FROM 1-1140080-2 WHERE Date = '29 April'"}
+{"text": "table: 1-1140080-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what's the\u00a0race winner\u00a0with\u00a0constructor\u00a0 renault\nA: SELECT Race Winner FROM 1-1140080-2 WHERE Constructor = 'Renault'"}
+{"text": "table: 1-1140080-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what's the\u00a0date\u00a0with\u00a0rnd\u00a0 1\nA: SELECT Date FROM 1-1140080-2 WHERE Rnd = 1"}
+{"text": "table: 1-1140083-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: How many days is the Monaco Grand Prix?\nA: SELECT COUNT Date FROM 1-1140083-2 WHERE Race = 'Monaco Grand Prix'"}
+{"text": "table: 1-1140083-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: How many rounds were won with James Hunt as pole position and John Watson as  fastest lap?\nA: SELECT COUNT Rnd FROM 1-1140083-2 WHERE Pole Position = 'James Hunt' AND Fastest Lap = 'John Watson'"}
+{"text": "table: 1-1140083-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: The Dijon-prenois had how many fastest laps?\nA: SELECT COUNT Fastest Lap FROM 1-1140083-2 WHERE Location = 'Dijon-Prenois'"}
+{"text": "table: 1-1140083-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: What was the constructor for round 15?\nA: SELECT Constructor FROM 1-1140083-2 WHERE Rnd = 15"}
+{"text": "table: 1-1140088-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: Who won the Brands Hatch circuit?\nA: SELECT Winning driver FROM 1-1140088-6 WHERE Circuit = 'Brands Hatch'"}
+{"text": "table: 1-1140088-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: Who constructed the I Italian Republic Grand Prix?\nA: SELECT Constructor FROM 1-1140088-6 WHERE Race Name = 'I Italian Republic Grand Prix'"}
+{"text": "table: 1-1140088-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What race was held at Oulton Park?\nA: SELECT Race Name FROM 1-1140088-6 WHERE Circuit = 'Oulton Park'"}
+{"text": "table: 1-1140088-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: Did the I Brazilian Grand Prix have a report?\nA: SELECT Report FROM 1-1140088-6 WHERE Race Name = 'I Brazilian Grand Prix'"}
+{"text": "table: 1-1140085-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what is the race where the pole position is niki lauda and the date is 27 april?\nA: SELECT Race FROM 1-1140085-2 WHERE Pole Position = 'Niki Lauda' AND Date = '27 April'"}
+{"text": "table: 1-1140085-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what is the date where the constructor is ferrari and the location is anderstorp?\nA: SELECT Date FROM 1-1140085-2 WHERE Constructor = 'Ferrari' AND Location = 'Anderstorp'"}
+{"text": "table: 1-1140085-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: how many times is the pole position niki lauda and the race is monaco grand prix?\nA: SELECT COUNT Rnd FROM 1-1140085-2 WHERE Pole Position = 'Niki Lauda' AND Race = 'Monaco Grand Prix'"}
+{"text": "table: 1-1140085-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what is the report where the location is kyalami?\nA: SELECT Report FROM 1-1140085-2 WHERE Location = 'Kyalami'"}
+{"text": "table: 1-1140085-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: who is the pole position for the rnd 3\nA: SELECT Pole Position FROM 1-1140085-2 WHERE Rnd = 3"}
+{"text": "table: 1-1140085-2\ncolumns: Rnd, Race, Date, Location, Pole Position, Fastest Lap, Race Winner, Constructor, Report\nQ: what is the race where the fastest lap is by jean-pierre jarier?\nA: SELECT Race FROM 1-1140085-2 WHERE Fastest Lap = 'Jean-Pierre Jarier'"}
+{"text": "table: 1-1140090-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What circuit did Clay Regazzoni win?\nA: SELECT Circuit FROM 1-1140090-6 WHERE Winning driver = 'Clay Regazzoni'"}
+{"text": "table: 1-1140090-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What was the date when Chris Amon won?\nA: SELECT Date FROM 1-1140090-6 WHERE Winning driver = 'Chris Amon'"}
+{"text": "table: 1-1140090-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What circuit is the Vi Rhein-Pokalrennen race in?\nA: SELECT Circuit FROM 1-1140090-6 WHERE Race Name = 'VI Rhein-Pokalrennen'"}
+{"text": "table: 1-1140103-6\ncolumns: #, Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What date is listed at place 13\nA: SELECT Date FROM 1-1140103-6 WHERE # = 13"}
+{"text": "table: 1-1140103-6\ncolumns: #, Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What date has a solitudering circuit\nA: SELECT Date FROM 1-1140103-6 WHERE Circuit = 'Solitudering'"}
+{"text": "table: 1-1140103-6\ncolumns: #, Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: How many dates have silverstone circuit\nA: SELECT COUNT Date FROM 1-1140103-6 WHERE Circuit = 'Silverstone'"}
+{"text": "table: 1-1140103-6\ncolumns: #, Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: How many constructors are listed for the XVI BRDC international trophy race\nA: SELECT COUNT Constructor FROM 1-1140103-6 WHERE Race Name = 'XVI BRDC International Trophy'"}
+{"text": "table: 1-1140105-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What is the name of the circuit in which the race name is ii danish grand prix?\nA: SELECT Circuit FROM 1-1140105-6 WHERE Race Name = 'II Danish Grand Prix'"}
+{"text": "table: 1-1140105-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What is te name of the constructors dated 26 march?\nA: SELECT Constructor FROM 1-1140105-6 WHERE Date = '26 March'"}
+{"text": "table: 1-1140105-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What is the total amount of circuts dated 22 april?\nA: SELECT COUNT Circuit FROM 1-1140105-6 WHERE Date = '22 April'"}
+{"text": "table: 1-1140105-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: what is the name of the constructor that has the circuit zeltweg airfield?\nA: SELECT Constructor FROM 1-1140105-6 WHERE Circuit = 'Zeltweg Airfield'"}
+{"text": "table: 1-1140105-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What is the name of the winning driver where the circuit name is posillipo?\nA: SELECT Winning driver FROM 1-1140105-6 WHERE Circuit = 'Posillipo'"}
+{"text": "table: 1-1140105-6\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What is the name of the circuit where the race xi Syracuse grand prix was held?\nA: SELECT Circuit FROM 1-1140105-6 WHERE Race Name = 'XI Syracuse Grand Prix'"}
+{"text": "table: 1-1140111-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What kind of report is for the Pau circuit?\nA: SELECT Report FROM 1-1140111-5 WHERE Circuit = 'Pau'"}
+{"text": "table: 1-1140111-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: How many different kinds of reports are there for races that Juan Manuel Fangio won?\nA: SELECT COUNT Report FROM 1-1140111-5 WHERE Winning driver = 'Juan Manuel Fangio'"}
+{"text": "table: 1-1140111-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: Who constructed the Syracuse circuit?\nA: SELECT Constructor FROM 1-1140111-5 WHERE Circuit = 'Syracuse'"}
+{"text": "table: 1-1140116-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What is the name of the race in the Modena circuit?\nA: SELECT Race Name FROM 1-1140116-5 WHERE Circuit = 'Modena'"}
+{"text": "table: 1-1140116-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What is the race name in the Monza circuit?\nA: SELECT Race Name FROM 1-1140116-5 WHERE Circuit = 'Monza'"}
+{"text": "table: 1-1140116-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: When does V Madgwick Cup take place?\nA: SELECT Date FROM 1-1140116-5 WHERE Race Name = 'V Madgwick Cup'"}
+{"text": "table: 1-1140116-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: Which driver won the race xiv el\u00e4intarhanajot?\nA: SELECT Winning driver FROM 1-1140116-5 WHERE Race Name = 'XIV El\u00e4intarhanajot'"}
+{"text": "table: 1-1140116-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: Who won the Modena circuit?\nA: SELECT Winning driver FROM 1-1140116-5 WHERE Circuit = 'Modena'"}
+{"text": "table: 1-1140113-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: How many constructors won the III Redex Trophy?\nA: SELECT COUNT Constructor FROM 1-1140113-5 WHERE Race Name = 'III RedeX Trophy'"}
+{"text": "table: 1-1140113-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What was the report of Mike Hawthorn's winning race?\nA: SELECT Report FROM 1-1140113-5 WHERE Winning driver = 'Mike Hawthorn'"}
+{"text": "table: 1-1140113-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What was the name of the race in Bordeaux?\nA: SELECT Race Name FROM 1-1140113-5 WHERE Circuit = 'Bordeaux'"}
+{"text": "table: 1-1140117-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What is the report for the race name V Ulster Trophy?\nA: SELECT Report FROM 1-1140117-5 WHERE Race Name = 'V Ulster Trophy'"}
+{"text": "table: 1-1140117-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What is the constructor for the Silverstone circuit?\nA: SELECT Constructor FROM 1-1140117-5 WHERE Circuit = 'Silverstone'"}
+{"text": "table: 1-1140117-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What's the report for the Silverstone circuit?\nA: SELECT Report FROM 1-1140117-5 WHERE Circuit = 'Silverstone'"}
+{"text": "table: 1-1140117-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: What's the report for the race name, XIII Grand Prix de l'Albigeois?\nA: SELECT Report FROM 1-1140117-5 WHERE Race Name = 'XIII Grand Prix de l'Albigeois'"}
+{"text": "table: 1-1140117-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: Which date did the race name XII Pau Grand Prix take place on?\nA: SELECT Date FROM 1-1140117-5 WHERE Race Name = 'XII Pau Grand Prix'"}
+{"text": "table: 1-1140117-5\ncolumns: Race Name, Circuit, Date, Winning driver, Constructor, Report\nQ: Who was the winning driver for the goodwood circuit?\nA: SELECT Winning driver FROM 1-1140117-5 WHERE Circuit = 'Goodwood'"}
+{"text": "table: 1-11411026-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: How many millions of U.S. viewers whatched episodes written by Krystal Houghton?\nA: SELECT U.S. viewers (millions) FROM 1-11411026-2 WHERE Written by = 'Krystal Houghton'"}
+{"text": "table: 1-11411026-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: How many titles were directed in series 79?\nA: SELECT COUNT Directed by FROM 1-11411026-2 WHERE No. in series = 79"}
+{"text": "table: 1-11411026-2\ncolumns: No. in series, No. in season, Title, Directed by, Written by, Original air date, U.S. viewers (millions)\nQ: Who wrote an episode watched by 19.01 million US viewers?\nA: SELECT Written by FROM 1-11411026-2 WHERE U.S. viewers (millions) = '19.01'"}
+{"text": "table: 1-11404452-1\ncolumns: Series #, Episode title, Writer(s), Director, U.S. viewers (millions), Original air date\nQ: What are the titles of the episodes where Rodman Flender is the director?\nA: SELECT Episode title FROM 1-11404452-1 WHERE Director = 'Rodman Flender'"}
+{"text": "table: 1-11404452-1\ncolumns: Series #, Episode title, Writer(s), Director, U.S. viewers (millions), Original air date\nQ: What is the original air date of the Jamie Babbit directed episode?\nA: SELECT Original air date FROM 1-11404452-1 WHERE Director = 'Jamie Babbit'"}
+{"text": "table: 1-11404452-1\ncolumns: Series #, Episode title, Writer(s), Director, U.S. viewers (millions), Original air date\nQ: What is the original air date when there were 12.81 million u.s viewers?\nA: SELECT Original air date FROM 1-11404452-1 WHERE U.S. viewers (millions) = '12.81'"}
+{"text": "table: 1-11404452-1\ncolumns: Series #, Episode title, Writer(s), Director, U.S. viewers (millions), Original air date\nQ: When did Shelia Lawrence join the series?\nA: SELECT MIN Series # FROM 1-11404452-1 WHERE Writer(s) = 'Shelia Lawrence'"}
+{"text": "table: 1-11404452-1\ncolumns: Series #, Episode title, Writer(s), Director, U.S. viewers (millions), Original air date\nQ: Who was the director when there were 13.66 million u.s viewers?\nA: SELECT Director FROM 1-11404452-1 WHERE U.S. viewers (millions) = '13.66'"}
+{"text": "table: 1-1143966-1\ncolumns: Season, Games, Won, Lost, Tied, Points, Pct %, Goals for, Goals against, Standing\nQ: Name the percentage where the amount won was 25\nA: SELECT Pct % FROM 1-1143966-1 WHERE Won = 25"}
+{"text": "table: 1-1143966-1\ncolumns: Season, Games, Won, Lost, Tied, Points, Pct %, Goals for, Goals against, Standing\nQ: How many games were won with 2nd oha was standing and there were 62 games?\nA: SELECT Won FROM 1-1143966-1 WHERE Standing = '2nd OHA' AND Games = 62"}
+{"text": "table: 1-11447995-2\ncolumns: Ward, Bello, Ben-Tahir, Doucet, Furtenbacher, Gauthier, Haydon, Larter, Lawrance, Libweshya, Liscumb\nQ: What is the Liscumb when Gauthier is 34?\nA: SELECT Liscumb FROM 1-11447995-2 WHERE Gauthier = '34'"}
+{"text": "table: 1-11447995-2\ncolumns: Ward, Bello, Ben-Tahir, Doucet, Furtenbacher, Gauthier, Haydon, Larter, Lawrance, Libweshya, Liscumb\nQ: What is the Bello when Ben-Tahir is 296?\nA: SELECT Bello FROM 1-11447995-2 WHERE Ben-Tahir = '296'"}
+{"text": "table: 1-11447995-2\ncolumns: Ward, Bello, Ben-Tahir, Doucet, Furtenbacher, Gauthier, Haydon, Larter, Lawrance, Libweshya, Liscumb\nQ: What is Ben-Tahir when Bello is 51?\nA: SELECT Ben-Tahir FROM 1-11447995-2 WHERE Bello = '51'"}
+{"text": "table: 1-11447995-2\ncolumns: Ward, Bello, Ben-Tahir, Doucet, Furtenbacher, Gauthier, Haydon, Larter, Lawrance, Libweshya, Liscumb\nQ: What is Haydon when Larter is 11 and Libweshya is 4?\nA: SELECT Haydon FROM 1-11447995-2 WHERE Larter = '11' AND Libweshya = '4'"}
+{"text": "table: 1-11447995-2\ncolumns: Ward, Bello, Ben-Tahir, Doucet, Furtenbacher, Gauthier, Haydon, Larter, Lawrance, Libweshya, Liscumb\nQ: What is Liscumb when Haydon is 1632?\nA: SELECT Liscumb FROM 1-11447995-2 WHERE Haydon = '1632'"}
+{"text": "table: 1-11447995-2\ncolumns: Ward, Bello, Ben-Tahir, Doucet, Furtenbacher, Gauthier, Haydon, Larter, Lawrance, Libweshya, Liscumb\nQ: What is Doucet when Lawrance is 36?\nA: SELECT Doucet FROM 1-11447995-2 WHERE Lawrance = '36'"}
+{"text": "table: 1-11449590-2\ncolumns: Week, Date, Opponent, Result, Kickoff [a ], Game site, TV, Attendance, Record\nQ: Which tv had the date december 7, 1986?\nA: SELECT TV FROM 1-11449590-2 WHERE Date = 'December 7, 1986'"}
+{"text": "table: 1-11449590-2\ncolumns: Week, Date, Opponent, Result, Kickoff [a ], Game site, TV, Attendance, Record\nQ: Which kickoff has the opponent at new orleans saints?\nA: SELECT Kickoff [a ] FROM 1-11449590-2 WHERE Opponent = 'at New Orleans Saints'"}
+{"text": "table: 1-11464746-1\ncolumns: House Name, Composition, Named after, Founded, Colours\nQ: How many houses are green?\nA: SELECT COUNT House Name FROM 1-11464746-1 WHERE Colours = 'Green'"}
+{"text": "table: 1-11464746-1\ncolumns: House Name, Composition, Named after, Founded, Colours\nQ: What year was the house named gongola made?\nA: SELECT Founded FROM 1-11464746-1 WHERE House Name = 'Gongola'"}
+{"text": "table: 1-11464746-1\ncolumns: House Name, Composition, Named after, Founded, Colours\nQ: What is the name of the green house?\nA: SELECT House Name FROM 1-11464746-1 WHERE Colours = 'Green'"}
+{"text": "table: 1-11464746-1\ncolumns: House Name, Composition, Named after, Founded, Colours\nQ: What is the green house made of?\nA: SELECT Composition FROM 1-11464746-1 WHERE Colours = 'Green'"}
+{"text": "table: 1-11464746-1\ncolumns: House Name, Composition, Named after, Founded, Colours\nQ: What is the benue house made of?\nA: SELECT Composition FROM 1-11464746-1 WHERE House Name = 'Benue'"}
+{"text": "table: 1-11465521-2\ncolumns: Week, Date, Opponent, Result, Kickoff [a ], Game site, TV, Attendance, Record\nQ: In which week was the game against a team with a record of 3-6 played?\nA: SELECT COUNT Week FROM 1-11465521-2 WHERE Record = '3-6'"}
+{"text": "table: 1-11465521-2\ncolumns: Week, Date, Opponent, Result, Kickoff [a ], Game site, TV, Attendance, Record\nQ: Which channel had the game against the Minnesota Vikings?\nA: SELECT TV FROM 1-11465521-2 WHERE Opponent = 'Minnesota Vikings'"}
+{"text": "table: 1-11465521-2\ncolumns: Week, Date, Opponent, Result, Kickoff [a ], Game site, TV, Attendance, Record\nQ: How many opponents were there at the game with 64,087 people in attendance?\nA: SELECT COUNT Opponent FROM 1-11465521-2 WHERE Attendance = '64,087'"}
+{"text": "table: 1-11452830-2\ncolumns: Week, Date, Opponent, Result, Kickoff [a ], Game site, TV, Attendance, Record\nQ: Where was the game played when the team's record was 1-3? \nA: SELECT Game site FROM 1-11452830-2 WHERE Record = '1-3'"}
+{"text": "table: 1-11452830-2\ncolumns: Week, Date, Opponent, Result, Kickoff [a ], Game site, TV, Attendance, Record\nQ: How many times was there a kickoff in the September 4, 1988 game? \nA: SELECT COUNT Kickoff [a ] FROM 1-11452830-2 WHERE Date = 'September 4, 1988'"}
+{"text": "table: 1-11452830-2\ncolumns: Week, Date, Opponent, Result, Kickoff [a ], Game site, TV, Attendance, Record\nQ: How many crowds watched the game where the record was 1-3? \nA: SELECT COUNT Attendance FROM 1-11452830-2 WHERE Record = '1-3'"}
+{"text": "table: 1-1149495-1\ncolumns: Series, Year, Winner, Runner-up, Third place, Fourth place, Fifth place, Sixth place, Host\nQ: What year finished with Daniel Zueras as the runner-up?\nA: SELECT COUNT Year FROM 1-1149495-1 WHERE Runner-up = 'Daniel Zueras'"}
+{"text": "table: 1-1149495-1\ncolumns: Series, Year, Winner, Runner-up, Third place, Fourth place, Fifth place, Sixth place, Host\nQ: How many people hosted the show in the year when Chenoa  ended up in fourth place?\nA: SELECT COUNT Host FROM 1-1149495-1 WHERE Fourth place = 'Chenoa'"}
+{"text": "table: 1-1149495-1\ncolumns: Series, Year, Winner, Runner-up, Third place, Fourth place, Fifth place, Sixth place, Host\nQ: How many fourth places were there in 2003?\nA: SELECT COUNT Fourth place FROM 1-1149495-1 WHERE Year = '2003'"}
+{"text": "table: 1-1147705-1\ncolumns: model, max. motive power, max. torque at rpm, engine displacement, engine type, engine configuration & notes 0-100km/h\nQ: What is the engine type when the max torque at rpm is n\u00b7m ( lbf\u00b7ft ) @ 4,800 Answers:?\nA: SELECT engine type FROM 1-1147705-1 WHERE max. torque at rpm = 'N\u00b7m ( lbf\u00b7ft ) @ 4,800'"}
+{"text": "table: 1-1147705-1\ncolumns: model, max. motive power, max. torque at rpm, engine displacement, engine type, engine configuration & notes 0-100km/h\nQ: What is the engine configuration $notes 0-100km/h for the engine type b5244 t2?\nA: SELECT engine configuration & notes 0-100km/h FROM 1-1147705-1 WHERE engine type = 'B5244 T2'"}
+{"text": "table: 1-1147705-1\ncolumns: model, max. motive power, max. torque at rpm, engine displacement, engine type, engine configuration & notes 0-100km/h\nQ: What is the engine displacement for the engine type b5254 t?\nA: SELECT engine displacement FROM 1-1147705-1 WHERE engine type = 'B5254 T'"}
+{"text": "table: 1-1147705-1\ncolumns: model, max. motive power, max. torque at rpm, engine displacement, engine type, engine configuration & notes 0-100km/h\nQ: How many have are model 2.4 awd?\nA: SELECT COUNT engine type FROM 1-1147705-1 WHERE model = '2.4 AWD'"}
+{"text": "table: 1-1147705-1\ncolumns: model, max. motive power, max. torque at rpm, engine displacement, engine type, engine configuration & notes 0-100km/h\nQ: How many engine b5204 t3?\nA: SELECT COUNT engine displacement FROM 1-1147705-1 WHERE engine type = 'B5204 T3'"}
+{"text": "table: 1-1147705-1\ncolumns: model, max. motive power, max. torque at rpm, engine displacement, engine type, engine configuration & notes 0-100km/h\nQ: How many engine b5234 t3?\nA: SELECT COUNT model FROM 1-1147705-1 WHERE engine type = 'B5234 T3'"}
+{"text": "table: 1-1147701-4\ncolumns: Model name, Power (ps), Torque (Nm@rpm), Displacement (cm\u00b3), Engine code, Comment\nQ:  how many\u00a0power (ps)\u00a0with\u00a0torque (nm@rpm)\u00a0being 240@2200-5000\nA: SELECT COUNT Power (ps) FROM 1-1147701-4 WHERE Torque (Nm@rpm) = '240@2200-5000'"}
+{"text": "table: 1-1147701-4\ncolumns: Model name, Power (ps), Torque (Nm@rpm), Displacement (cm\u00b3), Engine code, Comment\nQ: what's the\u00a0comment\u00a0with\u00a0model name\u00a0being 2.4 (2001-2007)\nA: SELECT Comment FROM 1-1147701-4 WHERE Model name = '2.4 (2001-2007)'"}
+{"text": "table: 1-1147701-4\ncolumns: Model name, Power (ps), Torque (Nm@rpm), Displacement (cm\u00b3), Engine code, Comment\nQ: what's the\u00a0model name\u00a0with\u00a0engine code\u00a0being b5204 t5\nA: SELECT Model name FROM 1-1147701-4 WHERE Engine code = 'B5204 T5'"}
+{"text": "table: 1-1147701-4\ncolumns: Model name, Power (ps), Torque (Nm@rpm), Displacement (cm\u00b3), Engine code, Comment\nQ: what's the\u00a0dbeingplacement (cm\u00b3)\u00a0with\u00a0torque (nm@rpm)\u00a0being 350@1800-6000\nA: SELECT Displacement (cm\u00b3) FROM 1-1147701-4 WHERE Torque (Nm@rpm) = '350@1800-6000'"}
+{"text": "table: 1-1147701-4\ncolumns: Model name, Power (ps), Torque (Nm@rpm), Displacement (cm\u00b3), Engine code, Comment\nQ: what's the\u00a0model name\u00a0with\u00a0torque (nm@rpm)\u00a0being 230@4500\nA: SELECT Model name FROM 1-1147701-4 WHERE Torque (Nm@rpm) = '230@4500'"}
+{"text": "table: 1-1147701-4\ncolumns: Model name, Power (ps), Torque (Nm@rpm), Displacement (cm\u00b3), Engine code, Comment\nQ: what's the\u00a0model name\u00a0with\u00a0engine code\u00a0being b5254 t4\nA: SELECT Model name FROM 1-1147701-4 WHERE Engine code = 'B5254 T4'"}
+{"text": "table: 1-1147701-5\ncolumns: Model name, Power (ps), Torque (Nm@rpm), Displacement (cm\u00b3), Engine code, Comment\nQ: Name the torque of the engine is d5244 t5\nA: SELECT Torque (Nm@rpm) FROM 1-1147701-5 WHERE Engine code = 'D5244 T5'"}
+{"text": "table: 1-1147701-5\ncolumns: Model name, Power (ps), Torque (Nm@rpm), Displacement (cm\u00b3), Engine code, Comment\nQ: What is the model of the engine d5244 t?\nA: SELECT Model name FROM 1-1147701-5 WHERE Engine code = 'D5244 T'"}
+{"text": "table: 1-1147701-5\ncolumns: Model name, Power (ps), Torque (Nm@rpm), Displacement (cm\u00b3), Engine code, Comment\nQ: What is the model of the enginge d5252 t?\nA: SELECT Model name FROM 1-1147701-5 WHERE Engine code = 'D5252 T'"}
+{"text": "table: 1-1147701-5\ncolumns: Model name, Power (ps), Torque (Nm@rpm), Displacement (cm\u00b3), Engine code, Comment\nQ: What is the model of the engine d5244 t7?\nA: SELECT Model name FROM 1-1147701-5 WHERE Engine code = 'D5244 T7'"}
+{"text": "table: 1-11545282-11\ncolumns: Player, No., Nationality, Position, Years for Jazz, School/Club Team\nQ: What is the position of number 47?\nA: SELECT Position FROM 1-11545282-11 WHERE No. = '47'"}
+{"text": "table: 1-11545282-11\ncolumns: Player, No., Nationality, Position, Years for Jazz, School/Club Team\nQ: Name the position of Turkey\nA: SELECT Position FROM 1-11545282-11 WHERE Nationality = 'Turkey'"}
+{"text": "table: 1-11545282-11\ncolumns: Player, No., Nationality, Position, Years for Jazz, School/Club Team\nQ: Who is player number 51?\nA: SELECT Player FROM 1-11545282-11 WHERE No. = '51'"}
+{"text": "table: 1-11545282-11\ncolumns: Player, No., Nationality, Position, Years for Jazz, School/Club Team\nQ: What is the position for the years 1998-99\nA: SELECT Position FROM 1-11545282-11 WHERE Years for Jazz = '1998-99'"}
+{"text": "table: 1-11545282-11\ncolumns: Player, No., Nationality, Position, Years for Jazz, School/Club Team\nQ: How many positions are for creighton?\nA: SELECT COUNT Position FROM 1-11545282-11 WHERE School/Club Team = 'Creighton'"}
+{"text": "table: 1-11545282-12\ncolumns: Player, No., Nationality, Position, Years for Jazz, School/Club Team\nQ: Which player is from Marshall and played 1974-75?\nA: SELECT Player FROM 1-11545282-12 WHERE Years for Jazz = '1974-75' AND School/Club Team = 'Marshall'"}
+{"text": "table: 1-11545282-12\ncolumns: Player, No., Nationality, Position, Years for Jazz, School/Club Team\nQ: Which country is the player that went to Oregon?\nA: SELECT Nationality FROM 1-11545282-12 WHERE School/Club Team = 'Oregon'"}
+{"text": "table: 1-11545282-12\ncolumns: Player, No., Nationality, Position, Years for Jazz, School/Club Team\nQ: Which country is Jim Les from?\nA: SELECT Nationality FROM 1-11545282-12 WHERE Player = 'Jim Les'"}
+{"text": "table: 1-11545282-12\ncolumns: Player, No., Nationality, Position, Years for Jazz, School/Club Team\nQ: Which number is the player from Minnesota?\nA: SELECT MAX No. FROM 1-11545282-12 WHERE School/Club Team = 'Minnesota'"}
+{"text": "table: 1-11545282-18\ncolumns: Player, No., Nationality, Position, Years for Jazz, School/Club Team\nQ: Which player played for years 2000-02\nA: SELECT Player FROM 1-11545282-18 WHERE Years for Jazz = '2000-02'"}
+{"text": "table: 1-11545282-18\ncolumns: Player, No., Nationality, Position, Years for Jazz, School/Club Team\nQ: Which school is Kirk Snyder from?\nA: SELECT School/Club Team FROM 1-11545282-18 WHERE Player = 'Kirk Snyder'"}

exo/train/data/lora/valid.jsonl

@@ -0,0 +1,100 @@
+{"text": "table: 1-10015132-11\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What position does the player who played for butler cc (ks) play?\nA: SELECT Position FROM 1-10015132-11 WHERE School/Club Team = 'Butler CC (KS)'"}
+{"text": "table: 1-10015132-11\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: How many schools did player number 3 play at?\nA: SELECT COUNT School/Club Team FROM 1-10015132-11 WHERE No. = '3'"}
+{"text": "table: 1-10015132-11\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What school did player number 21 play for?\nA: SELECT School/Club Team FROM 1-10015132-11 WHERE No. = '21'"}
+{"text": "table: 1-10015132-11\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: Who is the player that wears number 42?\nA: SELECT Player FROM 1-10015132-11 WHERE No. = '42'"}
+{"text": "table: 1-10015132-11\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What player played guard for toronto in 1996-97?\nA: SELECT Player FROM 1-10015132-11 WHERE Position = 'Guard' AND Years in Toronto = '1996-97'"}
+{"text": "table: 1-10015132-9\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: Who are all of the players on the Westchester High School club team?\nA: SELECT Player FROM 1-10015132-9 WHERE School/Club Team = 'Westchester High School'"}
+{"text": "table: 1-10015132-9\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What school/club team is Amir Johnson on?\nA: SELECT School/Club Team FROM 1-10015132-9 WHERE Player = 'Amir Johnson'"}
+{"text": "table: 1-10015132-9\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What are the total amount of numbers on the Toronto team in 2005-06?\nA: SELECT COUNT No. FROM 1-10015132-9 WHERE Years in Toronto = '2005-06'"}
+{"text": "table: 1-10015132-9\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What are the total number of positions on the Toronto team in 2006-07?\nA: SELECT COUNT Position FROM 1-10015132-9 WHERE Years in Toronto = '2006-07'"}
+{"text": "table: 1-10015132-9\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What are the nationality of the players on the Fresno State school/club team?\nA: SELECT Nationality FROM 1-10015132-9 WHERE School/Club Team = 'Fresno State'"}
+{"text": "table: 1-10015132-9\ncolumns: Player, No., Nationality, Position, Years in Toronto, School/Club Team\nQ: What school/club team is Trey Johnson on?\nA: SELECT School/Club Team FROM 1-10015132-9 WHERE Player = 'Trey Johnson'"}
+{"text": "table: 1-10026563-1\ncolumns: Entered office as Head of State or Government, Began time as senior G8 leader, Ended time as senior G8 leader, Person, Office\nQ: When did Jacques Chirac stop being a G8 leader?\nA: SELECT Ended time as senior G8 leader FROM 1-10026563-1 WHERE Person = 'Jacques Chirac'"}
+{"text": "table: 1-10026563-1\ncolumns: Entered office as Head of State or Government, Began time as senior G8 leader, Ended time as senior G8 leader, Person, Office\nQ: When did the Prime Minister of Italy take office?\nA: SELECT Entered office as Head of State or Government FROM 1-10026563-1 WHERE Office = 'Prime Minister of Italy'"}
+{"text": "table: 1-1008653-1\ncolumns: Country ( exonym ), Capital ( exonym ), Country ( endonym ), Capital ( endonym ), Official or native language(s) (alphabet/script)\nQ: What is the English name of the country whose official native language is Dutch Papiamento?\nA: SELECT Country ( exonym ) FROM 1-1008653-1 WHERE Official or native language(s) (alphabet/script) = 'Dutch Papiamento'"}
+{"text": "table: 1-1008653-1\ncolumns: Country ( exonym ), Capital ( exonym ), Country ( endonym ), Capital ( endonym ), Official or native language(s) (alphabet/script)\nQ: What official or native languages are spoken in the country whose capital city is Canberra?\nA: SELECT Official or native language(s) (alphabet/script) FROM 1-1008653-1 WHERE Capital ( exonym ) = 'Canberra'"}
+{"text": "table: 1-1008653-1\ncolumns: Country ( exonym ), Capital ( exonym ), Country ( endonym ), Capital ( endonym ), Official or native language(s) (alphabet/script)\nQ: What is the local name given to the city of Canberra?\nA: SELECT Capital ( endonym ) FROM 1-1008653-1 WHERE Capital ( exonym ) = 'Canberra'"}
+{"text": "table: 1-1008653-1\ncolumns: Country ( exonym ), Capital ( exonym ), Country ( endonym ), Capital ( endonym ), Official or native language(s) (alphabet/script)\nQ: What is the local name given to the capital of Anguilla?\nA: SELECT Capital ( endonym ) FROM 1-1008653-1 WHERE Country ( endonym ) = 'Anguilla'"}
+{"text": "table: 1-1008653-1\ncolumns: Country ( exonym ), Capital ( exonym ), Country ( endonym ), Capital ( endonym ), Official or native language(s) (alphabet/script)\nQ: What is the English name given to the city of St. John's?\nA: SELECT Capital ( exonym ) FROM 1-1008653-1 WHERE Capital ( endonym ) = 'St. John's'"}
+{"text": "table: 1-1008653-1\ncolumns: Country ( exonym ), Capital ( exonym ), Country ( endonym ), Capital ( endonym ), Official or native language(s) (alphabet/script)\nQ: How many capital cities does Australia have?\nA: SELECT COUNT Capital ( endonym ) FROM 1-1008653-1 WHERE Country ( endonym ) = 'Australia'"}
+{"text": "table: 1-10088101-1\ncolumns: No. in set, No. in series, Title, Directed by, Written by, Original air date, Production code\nQ: The episode with production code 9abx02 was originally aired on what date?\nA: SELECT Original air date FROM 1-10088101-1 WHERE Production code = '9ABX02'"}
+{"text": "table: 1-10088101-1\ncolumns: No. in set, No. in series, Title, Directed by, Written by, Original air date, Production code\nQ: What is the episode number that has production code 8abx15?\nA: SELECT MIN No. in series FROM 1-10088101-1 WHERE Production code = '8ABX15'"}
+{"text": "table: 1-10295819-2\ncolumns: Player, Highest singles ranking, Highest doubles ranking, First year played, Years played, Ties played, Total W\u2013L, Singles W\u2013L, Doubles W\u2013L\nQ: Name the minimum tiesplayed for 6 years\nA: SELECT MIN Ties played FROM 1-10295819-2 WHERE Years played = 6"}
+{"text": "table: 1-10342194-3\ncolumns: District, Total amount of trees, Prevailing types, %, Amount of old trees, Amount of trees, that require replacement\nQ: What is the amount of trees, that require replacement when prevailing types, % is pine \u2014 29.37 poplar \u2014 26.12 acer negundo \u2014 13.2?\nA: SELECT Amount of trees, that require replacement FROM 1-10342194-3 WHERE Prevailing types, % = 'Pine \u2014 29.37 Poplar \u2014 26.12 Acer negundo \u2014 13.2'"}
+{"text": "table: 1-10342194-3\ncolumns: District, Total amount of trees, Prevailing types, %, Amount of old trees, Amount of trees, that require replacement\nQ: What is the amount of trees, that require replacement when district is leninsky?\nA: SELECT Amount of trees, that require replacement FROM 1-10342194-3 WHERE District = 'Leninsky'"}
+{"text": "table: 1-10342194-3\ncolumns: District, Total amount of trees, Prevailing types, %, Amount of old trees, Amount of trees, that require replacement\nQ: What is the district when the total amount of trees is smaller than 150817.6878461314 and amount of old trees is 1,928 (1.89%)?\nA: SELECT District FROM 1-10342194-3 WHERE Total amount of trees < 150817.6878461314 AND Amount of old trees = '1,928 (1.89%)'"}
+{"text": "table: 1-10342194-3\ncolumns: District, Total amount of trees, Prevailing types, %, Amount of old trees, Amount of trees, that require replacement\nQ: What is the amount of trees, that require replacement when the district is motovilikhinsky?\nA: SELECT Amount of trees, that require replacement FROM 1-10342194-3 WHERE District = 'Motovilikhinsky'"}
+{"text": "table: 1-10342194-3\ncolumns: District, Total amount of trees, Prevailing types, %, Amount of old trees, Amount of trees, that require replacement\nQ: What is the total amount of trees when district is leninsky?\nA: SELECT MAX Total amount of trees FROM 1-10342194-3 WHERE District = 'Leninsky'"}
+{"text": "table: 1-10342194-3\ncolumns: District, Total amount of trees, Prevailing types, %, Amount of old trees, Amount of trees, that require replacement\nQ: What is the district when prevailing types, % is acer negundo \u2014 30.22 tilia \u2014 18.6 poplar \u2014 15.23?\nA: SELECT District FROM 1-10342194-3 WHERE Prevailing types, % = 'Acer negundo \u2014 30.22 Tilia \u2014 18.6 Poplar \u2014 15.23'"}
+{"text": "table: 1-10429820-13\ncolumns: Iowa State vs., Overall Record, in Ames, at Opponents Venue, at Neutral Site, Last 5 Meetings, Last 10 Meetings, Current Streak, Since Beginning of Big 12\nQ: When the value of \"since beginning of big 12\" is synonymous with its' category, what are the in Ames values?\nA: SELECT in Ames FROM 1-10429820-13 WHERE Since Beginning of Big 12 = 'Since Beginning of Big 12'"}
+{"text": "table: 1-1046170-5\ncolumns: Year, Division, League, Regular Season, Playoffs, U.S. Open Cup\nQ: what's the\u00a0u.s. open cup status\u00a0for regular season\u00a0of 4th, atlantic division \nA: SELECT U.S. Open Cup FROM 1-1046170-5 WHERE Regular Season = '4th, Atlantic Division'"}
+{"text": "table: 1-1046170-5\ncolumns: Year, Division, League, Regular Season, Playoffs, U.S. Open Cup\nQ: how many division  did not qualify for u.s. open cup in 2003\nA: SELECT Division FROM 1-1046170-5 WHERE U.S. Open Cup = 'Did Not Qualify' AND Year = 2003"}
+{"text": "table: 1-1046170-5\ncolumns: Year, Division, League, Regular Season, Playoffs, U.S. Open Cup\nQ: which round is u.s. open cup division semifinals\nA: SELECT U.S. Open Cup FROM 1-1046170-5 WHERE Playoffs = 'Division Semifinals'"}
+{"text": "table: 1-1046170-5\ncolumns: Year, Division, League, Regular Season, Playoffs, U.S. Open Cup\nQ: what are all the playoffs for regular season is 1st, atlantic division\nA: SELECT Playoffs FROM 1-1046170-5 WHERE Regular Season = '1st, Atlantic Division'"}
+{"text": "table: 1-1046170-5\ncolumns: Year, Division, League, Regular Season, Playoffs, U.S. Open Cup\nQ: what are all the playoffs for u.s. open cup in 1st round\nA: SELECT Playoffs FROM 1-1046170-5 WHERE U.S. Open Cup = '1st Round'"}
+{"text": "table: 1-1061075-1\ncolumns: Season, Competition, Round, Opponents, 1st leg, 2nd leg, Aggregate\nQ: what is the total number of\u00a02nd leg\u00a0where\u00a0aggregate\u00a0is 7-2\nA: SELECT COUNT 2nd leg FROM 1-1061075-1 WHERE Aggregate = '7-2'"}
+{"text": "table: 1-1061075-1\ncolumns: Season, Competition, Round, Opponents, 1st leg, 2nd leg, Aggregate\nQ:  what's the\u00a0aggregate\u00a0where\u00a01st leg\u00a0is 3\u20132\nA: SELECT Aggregate FROM 1-1061075-1 WHERE 1st leg = '3\u20132'"}
+{"text": "table: 1-1061075-1\ncolumns: Season, Competition, Round, Opponents, 1st leg, 2nd leg, Aggregate\nQ:  what's the\u00a0competition\u00a0where\u00a0aggregate\u00a0is 4\u20137\nA: SELECT Competition FROM 1-1061075-1 WHERE Aggregate = '4\u20137'"}
+{"text": "table: 1-1061075-1\ncolumns: Season, Competition, Round, Opponents, 1st leg, 2nd leg, Aggregate\nQ:  what's the\u00a0competition\u00a0where\u00a01st leg\u00a0is 4-1 (h)\nA: SELECT Competition FROM 1-1061075-1 WHERE 1st leg = '4-1 (h)'"}
+{"text": "table: 1-1061075-1\ncolumns: Season, Competition, Round, Opponents, 1st leg, 2nd leg, Aggregate\nQ: what is the total number of\u00a0round\u00a0where\u00a0opponents\u00a0is haugar\nA: SELECT COUNT Round FROM 1-1061075-1 WHERE Opponents = 'Haugar'"}
+{"text": "table: 1-1061075-1\ncolumns: Season, Competition, Round, Opponents, 1st leg, 2nd leg, Aggregate\nQ:  what's the\u00a01st leg\u00a0where\u00a0opponents\u00a0is galatasaray\nA: SELECT 1st leg FROM 1-1061075-1 WHERE Opponents = 'Galatasaray'"}
+{"text": "table: 1-10706961-2\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: What is the highest Rd that Tom Sneva had the pole position in?\nA: SELECT MAX Rd FROM 1-10706961-2 WHERE Pole Position = 'Tom Sneva'"}
+{"text": "table: 1-10706961-2\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: How many winning drivers were there in the race that had a fastest lap time of 56.920?\nA: SELECT COUNT Winning driver FROM 1-10706961-2 WHERE Fastest Lap = '56.920'"}
+{"text": "table: 1-10706961-2\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: How many reports are there in the race that Forsythe Racing won and Teo Fabi had the pole position in?\nA: SELECT COUNT Report FROM 1-10706961-2 WHERE Winning team = 'Forsythe Racing' AND Pole Position = 'Teo Fabi'"}
+{"text": "table: 1-10706961-2\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: Which Rd took place at the Indianapolis 500?\nA: SELECT Rd FROM 1-10706961-2 WHERE Name = 'Indianapolis 500'"}
+{"text": "table: 1-10706961-2\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: Which teams won when Bobby Rahal was their winning driver?\nA: SELECT Winning team FROM 1-10706961-2 WHERE Winning driver = 'Bobby Rahal'"}
+{"text": "table: 1-10706961-2\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: What was the fastest lap time in the Escort Radar Warning 200?\nA: SELECT Fastest Lap FROM 1-10706961-2 WHERE Name = 'Escort Radar Warning 200'"}
+{"text": "table: 1-10707176-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Winning driver, Winning team, Report\nQ: What report was there for the porsche north america?\nA: SELECT Report FROM 1-10707176-2 WHERE Winning team = 'Porsche North America'"}
+{"text": "table: 1-10707176-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Winning driver, Winning team, Report\nQ: What rnds were there for the phoenix international raceway?\nA: SELECT Rnd FROM 1-10707176-2 WHERE Circuit = 'Phoenix International Raceway'"}
+{"text": "table: 1-10707176-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Winning driver, Winning team, Report\nQ: Who was the pole position for the rnd equalling 12?\nA: SELECT Pole position FROM 1-10707176-2 WHERE Rnd = '12'"}
+{"text": "table: 1-10707176-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Winning driver, Winning team, Report\nQ: How many reports were the for the cleveland burke lakefront airport circut?\nA: SELECT COUNT Report FROM 1-10707176-2 WHERE Circuit = 'Cleveland Burke Lakefront Airport'"}
+{"text": "table: 1-10707176-2\ncolumns: Rnd, Race Name, Circuit, City/Location, Date, Pole position, Winning driver, Winning team, Report\nQ: How many winning drivers were the for the rnd equalling 5?\nA: SELECT COUNT Winning driver FROM 1-10707176-2 WHERE Rnd = '5'"}
+{"text": "table: 1-10706879-3\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: The race tony bettenhausen 200 has what smallest rd?\nA: SELECT MIN Rd FROM 1-10706879-3 WHERE Name = 'Tony Bettenhausen 200'"}
+{"text": "table: 1-10706879-3\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: The winning team of the race, los angeles times 500 is who?\nA: SELECT Winning team FROM 1-10706879-3 WHERE Name = 'Los Angeles Times 500'"}
+{"text": "table: 1-10706879-3\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: How many winning drivers in the kraco twin 125 (r2) race were there?\nA: SELECT COUNT Winning driver FROM 1-10706879-3 WHERE Name = 'Kraco Twin 125 (R2)'"}
+{"text": "table: 1-10706879-3\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: What are the races that johnny rutherford has won?\nA: SELECT Name FROM 1-10706879-3 WHERE Winning driver = 'Johnny Rutherford'"}
+{"text": "table: 1-10706879-3\ncolumns: Rd, Name, Pole Position, Fastest Lap, Winning driver, Winning team, Report\nQ: How many fastest laps were there for a rd that equals 10?\nA: SELECT COUNT Fastest Lap FROM 1-10706879-3 WHERE Rd = 10"}
+{"text": "table: 1-10712301-5\ncolumns: Region, Operator, Licence award date, On air date, Closure date\nQ: What is the license award date for North East England?\nA: SELECT Licence award date FROM 1-10712301-5 WHERE Region = 'North East England'"}
+{"text": "table: 1-10733530-3\ncolumns: Nation, Population (thousands), Internet subscriptions (2000) (thousands of users), Internet subscriptions (2008) (thousands of users), % growth (2000\u20132008), % Internet users\nQ: What is the percentage of growth in 2000-2008 in ethiopia?\nA: SELECT % growth (2000\u20132008) FROM 1-10733530-3 WHERE Nation = 'Ethiopia'"}
+{"text": "table: 1-10733530-3\ncolumns: Nation, Population (thousands), Internet subscriptions (2000) (thousands of users), Internet subscriptions (2008) (thousands of users), % growth (2000\u20132008), % Internet users\nQ: Name the total number of percentage growth 2000-2008 of uganda?\nA: SELECT COUNT % growth (2000\u20132008) FROM 1-10733530-3 WHERE Nation = 'Uganda'"}
+{"text": "table: 1-10733530-3\ncolumns: Nation, Population (thousands), Internet subscriptions (2000) (thousands of users), Internet subscriptions (2008) (thousands of users), % growth (2000\u20132008), % Internet users\nQ: What is the maximum percentage grown 2000-2008 in burundi\nA: SELECT MAX % growth (2000\u20132008) FROM 1-10733530-3 WHERE Nation = 'Burundi'"}
+{"text": "table: 1-10798421-1\ncolumns: Village (German), Village (Slovenian), Number of people 1991, Percent of Slovenes 1991, Percent of Slovenes 1951\nQ: Provide me with the names of all the villages (German) that has 76.3% of Slovenes in 1951.\nA: SELECT Village (German) FROM 1-10798421-1 WHERE Percent of Slovenes 1951 = '76.3%'"}
+{"text": "table: 1-10798421-1\ncolumns: Village (German), Village (Slovenian), Number of people 1991, Percent of Slovenes 1991, Percent of Slovenes 1951\nQ: Give me the minimum number of people in 1991 with 92.5% of Slovenes in 1991.\nA: SELECT MIN Number of people 1991 FROM 1-10798421-1 WHERE Percent of Slovenes 1991 = '92.5%'"}
+{"text": "table: 1-10798421-1\ncolumns: Village (German), Village (Slovenian), Number of people 1991, Percent of Slovenes 1991, Percent of Slovenes 1951\nQ: Provide me with the name of all the village (German) that are part of the village (Slovenian) with sele srednji kot. \nA: SELECT Village (German) FROM 1-10798421-1 WHERE Village (Slovenian) = 'Sele Srednji Kot'"}
+{"text": "table: 1-10798421-1\ncolumns: Village (German), Village (Slovenian), Number of people 1991, Percent of Slovenes 1991, Percent of Slovenes 1951\nQ: Provide me with the name of all the village (German) that are part of the village (Slovenian) with sele borovnica.\nA: SELECT Village (German) FROM 1-10798421-1 WHERE Village (Slovenian) = 'Sele Borovnica'"}
+{"text": "table: 1-10798421-1\ncolumns: Village (German), Village (Slovenian), Number of people 1991, Percent of Slovenes 1991, Percent of Slovenes 1951\nQ: Provide me with the name of the village (German) where there is 96.9% Slovenes in 1951. \nA: SELECT Village (German) FROM 1-10798421-1 WHERE Percent of Slovenes 1951 = '96.9%'"}
+{"text": "table: 1-10798421-1\ncolumns: Village (German), Village (Slovenian), Number of people 1991, Percent of Slovenes 1991, Percent of Slovenes 1951\nQ: Provide with the names of the village (German) that is part of village (Slovenian) with sele srednji kot.\nA: SELECT Village (German) FROM 1-10798421-1 WHERE Village (Slovenian) = 'Sele Srednji Kot'"}
+{"text": "table: 1-10812293-3\ncolumns: Game, Date, Team, Score, High points, High rebounds, High assists, Location Attendance, Record\nQ: What was the score of the game on November 12?\nA: SELECT Score FROM 1-10812293-3 WHERE Date = 'November 12'"}
+{"text": "table: 1-10812293-3\ncolumns: Game, Date, Team, Score, High points, High rebounds, High assists, Location Attendance, Record\nQ: Who had high assists when they played against San Antonio?\nA: SELECT High assists FROM 1-10812293-3 WHERE Team = 'San Antonio'"}
+{"text": "table: 1-10812293-3\ncolumns: Game, Date, Team, Score, High points, High rebounds, High assists, Location Attendance, Record\nQ: Who scored the most points in game 4?\nA: SELECT High points FROM 1-10812293-3 WHERE Game = 4"}
+{"text": "table: 1-10812293-3\ncolumns: Game, Date, Team, Score, High points, High rebounds, High assists, Location Attendance, Record\nQ: Where was the game on November 20?\nA: SELECT Location Attendance FROM 1-10812293-3 WHERE Date = 'November 20'"}
+{"text": "table: 1-10935205-1\ncolumns: No. in season, No. in series, Title, Canadian airdate, US airdate, Production code\nQ: The canadian airdate of 11 february 2008 applied to what series number?\nA: SELECT COUNT No. in series FROM 1-10935205-1 WHERE Canadian airdate = '11 February 2008'"}
+{"text": "table: 1-10935205-1\ncolumns: No. in season, No. in series, Title, Canadian airdate, US airdate, Production code\nQ: The U.S. airdate of 4 april 2008 had a production code of what?\nA: SELECT MAX Production code FROM 1-10935205-1 WHERE US airdate = '4 April 2008'"}
+{"text": "table: 1-10935205-1\ncolumns: No. in season, No. in series, Title, Canadian airdate, US airdate, Production code\nQ: The episode titled \"don't stop believin'\" was what highest number of the season?\nA: SELECT MAX No. in season FROM 1-10935205-1 WHERE Title = '\"Don't Stop Believin'\"'"}
+{"text": "table: 1-10935205-1\ncolumns: No. in season, No. in series, Title, Canadian airdate, US airdate, Production code\nQ: The U.S. airdate of 8 august 2008 also had canadian airdates of what?\nA: SELECT Canadian airdate FROM 1-10935205-1 WHERE US airdate = '8 August 2008'"}
+{"text": "table: 1-10935205-1\ncolumns: No. in season, No. in series, Title, Canadian airdate, US airdate, Production code\nQ: The canadian airdate of 17 march 2008 had how many numbers in the season?\nA: SELECT COUNT No. in season FROM 1-10935205-1 WHERE Canadian airdate = '17 March 2008'"}
+{"text": "table: 1-10935205-1\ncolumns: No. in season, No. in series, Title, Canadian airdate, US airdate, Production code\nQ: For the episode(s) aired in the U.S. on 4 april 2008, what were the names?\nA: SELECT Title FROM 1-10935205-1 WHERE US airdate = '4 April 2008'"}
+{"text": "table: 1-10953197-5\ncolumns: No. in series, No. in season, Title, Director, Writer(s), Original air date, Production code\nQ: Who directed the episode \"Great Sexpectations (2)\"?\nA: SELECT Director FROM 1-10953197-5 WHERE Title = '\"Great Sexpectations (2)\"'"}
+{"text": "table: 1-10975034-2\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: Which player from the 2004 CFL draft attended Wilfrid Laurier?\nA: SELECT Player FROM 1-10975034-2 WHERE College = 'Wilfrid Laurier'"}
+{"text": "table: 1-10975034-2\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What position does Christian Leibl-Cote play?\nA: SELECT Position FROM 1-10975034-2 WHERE Player = 'Christian Leibl-Cote'"}
+{"text": "table: 1-10975034-2\ncolumns: Pick #, CFL Team, Player, Position, College\nQ: What is the pick number for Northwestern college?\nA: SELECT MAX Pick # FROM 1-10975034-2 WHERE College = 'Northwestern'"}
+{"text": "table: 1-10992-3\ncolumns: No, City district (Stadtteil), Area in km\u00b2, Population, Foreign nationals, Foreign nationals in %, Area district (Ortsbezirk)\nQ: How many foreigners in percentage terms had a population of 4.911?\nA: SELECT COUNT Foreign nationals in % FROM 1-10992-3 WHERE Population = '4.911'"}
+{"text": "table: 1-10992-3\ncolumns: No, City district (Stadtteil), Area in km\u00b2, Population, Foreign nationals, Foreign nationals in %, Area district (Ortsbezirk)\nQ: What is the number of the city district of stadtteil where foreigners are 5.162?\nA: SELECT COUNT City district (Stadtteil) FROM 1-10992-3 WHERE Foreign nationals = '5.162'"}
+{"text": "table: 1-10992-3\ncolumns: No, City district (Stadtteil), Area in km\u00b2, Population, Foreign nationals, Foreign nationals in %, Area district (Ortsbezirk)\nQ: What is the city where the number is 47?\nA: SELECT City district (Stadtteil) FROM 1-10992-3 WHERE No = '47'"}
+{"text": "table: 1-11044765-1\ncolumns: School, Mascot, Location, League, Enrollment\nQ: Which leagues have Raiders as their mascot?\nA: SELECT League FROM 1-11044765-1 WHERE Mascot = 'Raiders'"}
+{"text": "table: 1-11044765-1\ncolumns: School, Mascot, Location, League, Enrollment\nQ: Which leagues is the Galena school in?\nA: SELECT League FROM 1-11044765-1 WHERE School = 'Galena'"}
+{"text": "table: 1-11044765-1\ncolumns: School, Mascot, Location, League, Enrollment\nQ: What city and state is the Lancers mascot located?\nA: SELECT Location FROM 1-11044765-1 WHERE Mascot = 'Lancers'"}
+{"text": "table: 1-11044765-1\ncolumns: School, Mascot, Location, League, Enrollment\nQ: What city and state are the miners located in?\nA: SELECT Location FROM 1-11044765-1 WHERE Mascot = 'Miners'"}
+{"text": "table: 1-11044765-1\ncolumns: School, Mascot, Location, League, Enrollment\nQ: Which school has the Raiders as their mascot?\nA: SELECT School FROM 1-11044765-1 WHERE Mascot = 'Raiders'"}
+{"text": "table: 1-1121352-2\ncolumns: No., Date, Tournament, Winning score, To par, Margin of victory, Runner(s)-up\nQ: Where was the tournament dated nov 3, 2002?\nA: SELECT Tournament FROM 1-1121352-2 WHERE Date = 'Nov 3, 2002'"}
+{"text": "table: 1-1121352-2\ncolumns: No., Date, Tournament, Winning score, To par, Margin of victory, Runner(s)-up\nQ: Where is the margin of victory dated mar 28, 2004?\nA: SELECT Margin of victory FROM 1-1121352-2 WHERE Date = 'Mar 28, 2004'"}
+{"text": "table: 1-1121352-2\ncolumns: No., Date, Tournament, Winning score, To par, Margin of victory, Runner(s)-up\nQ: What is the to par dated may 4, 2003?\nA: SELECT To par FROM 1-1121352-2 WHERE Date = 'May 4, 2003'"}
+{"text": "table: 1-1121352-2\ncolumns: No., Date, Tournament, Winning score, To par, Margin of victory, Runner(s)-up\nQ: What date were the runner ups pat hurst juli inkster?\nA: SELECT Date FROM 1-1121352-2 WHERE Runner(s)-up = 'Pat Hurst Juli Inkster'"}
+{"text": "table: 1-11210576-4\ncolumns: Character, Fate, Actor, First Episode, Final Episode, Duration, Final Episode Count\nQ: what's the total number of\u00a0final epbeingode count\u00a0with\u00a0character\u00a0being rick stetler\nA: SELECT COUNT Final Episode Count FROM 1-11210576-4 WHERE Character = 'Rick Stetler'"}
+{"text": "table: 1-11210576-4\ncolumns: Character, Fate, Actor, First Episode, Final Episode, Duration, Final Episode Count\nQ: what are all the actor where first episode is \"ambush\"\nA: SELECT Actor FROM 1-11210576-4 WHERE First Episode = '\"Ambush\"'"}
+{"text": "table: 1-11210576-4\ncolumns: Character, Fate, Actor, First Episode, Final Episode, Duration, Final Episode Count\nQ: what's the\u00a0character\u00a0with\u00a0fate\u00a0being deceased: knife wound\nA: SELECT Character FROM 1-11210576-4 WHERE Fate = 'Deceased: Knife Wound'"}
+{"text": "table: 1-11210576-4\ncolumns: Character, Fate, Actor, First Episode, Final Episode, Duration, Final Episode Count\nQ: what's the total number of\u00a0final epbeingode count\u00a0with\u00a0first epbeingode\u00a0being \"l.a.\"\nA: SELECT COUNT Final Episode Count FROM 1-11210576-4 WHERE First Episode = '\"L.A.\"'"}
+{"text": "table: 1-11210576-4\ncolumns: Character, Fate, Actor, First Episode, Final Episode, Duration, Final Episode Count\nQ: what's the\u00a0actor\u00a0with\u00a0character\u00a0being judge joseph ratner\nA: SELECT Actor FROM 1-11210576-4 WHERE Character = 'Judge Joseph Ratner'"}
+{"text": "table: 1-11210576-4\ncolumns: Character, Fate, Actor, First Episode, Final Episode, Duration, Final Episode Count\nQ: what's the\u00a0first epbeingode\u00a0with\u00a0final epbeingode\u00a0being \"rio\"\nA: SELECT First Episode FROM 1-11210576-4 WHERE Final Episode = '\"Rio\"'"}
+{"text": "table: 1-11214772-2\ncolumns: Year, Champion, Score, Runner-Up, Location, Semi-Finalist #1, Semi-Finalist #2\nQ: Which team was the second semi finalist in 2007?\nA: SELECT Semi-Finalist #2 FROM 1-11214772-2 WHERE Year = 2007"}
+{"text": "table: 1-11214772-2\ncolumns: Year, Champion, Score, Runner-Up, Location, Semi-Finalist #1, Semi-Finalist #2\nQ: How many teams were listed as runner up in 2005 and there the first semi finalist was Western Carolina?\nA: SELECT COUNT Runner-Up FROM 1-11214772-2 WHERE Semi-Finalist #1 = 'Western Carolina' AND Year = 2005"}

exo/train/dataset.py

@@ -0,0 +1,80 @@
+#from https://github.com/ml-explore/mlx-examples
+from pathlib import Path
+import numpy as np
+import json
+from functools import partial, reduce
+def compose(*funcs):    
+  return reduce(lambda f, g: lambda x: f(g(x)), funcs, lambda x : x)
+
+def batch_with_lengths(tokens, maxlen = None):
+  lengths = [len(x) for x in tokens]
+  batch_size = len(lengths)
+  if maxlen is None:
+    maxlen = max(lengths)
+  else:
+    lengths = [min(maxlen, l) for l in lengths]
+
+  # Pad to the max length
+  batch_arr = np.zeros((batch_size, maxlen), np.int32)
+
+  for j in range(batch_size):
+    batch_arr[j, : lengths[j]] = tokens[j]
+  batch = np.array(batch_arr)
+  return batch[:, :-1], batch[:, 1:], np.array(lengths)
+
+def batch_chunk(batch_size):
+  return lambda d, i: d[i:i + batch_size]
+  
+
+def iterate_batches(dset, batch_size, train=False, uniform_length=True):
+# Shuffle indices
+  make_batch = lambda b: batch_with_lengths(b, maxlen=dset._maxlen if uniform_length else None)
+  chunk = batch_chunk(batch_size)
+  while True:
+    indices = np.arange(len(dset))
+    if train:
+      indices = np.random.permutation(indices)
+    batch = compose(make_batch, lambda i: [dset[k] for k in i], partial(chunk, indices))
+
+    # Collect batches from dataset
+    for i in range(0, len(indices) - batch_size + 1, batch_size):
+      yield batch(i)
+
+    if not train:
+      break
+
+class Dataset:
+  def __init__(self, path: Path, preprocess=lambda item: item, loadline=json.loads, metrics={}):
+    if not path.exists():
+      self._data = None
+    else:
+      self.preprocess = preprocess
+      with open(path, "r") as fid:
+        self._data = [loadline(l) for l in fid]
+        self._maxlen = max([len(preprocess(x)) for x in self._data])
+        # Check if any sequence is longer than 2048 tokens
+        if self._maxlen > 2048:
+          print("You've got sequences with over 2048 tokens in here! Split your data fool!")
+
+
+  def __getitem__(self, idx: int):
+    return self.preprocess(self._data[idx])
+
+  def __len__(self):
+    return len(self._data)
+
+
+def load_dataset(data_path: str, preprocess=lambda i: i, loadline=json.loads):
+  def load_and_check(name):
+    dataset_path = Path(data_path) / f"{name}.jsonl"
+    try:
+      return Dataset(dataset_path, preprocess=preprocess, loadline=loadline)
+    except Exception as e:
+      print(f"Unable to build dataset {dataset_path} ({e})")
+      raise
+
+  names = ("train", "valid", "test")
+  train, valid, test = (load_and_check(n) for n in names)
+
+  return train, valid, test
+

exo/viz/topology_viz.py

@@ -242,12 +242,19 @@ class TopologyViz:
             if info_y + j != y or info_x + k != x:
               visualization[info_y + j][info_x + k] = char
 
-      # Draw line to next node
+      # Draw line to next node and add connection description
       next_i = (i+1) % num_partitions
       next_angle = 2*math.pi*next_i/num_partitions
       next_x = int(center_x + radius_x*math.cos(next_angle))
       next_y = int(center_y + radius_y*math.sin(next_angle))
 
+      # Get connection descriptions
+      conn1 = self.topology.peer_graph.get(partition.node_id, set())
+      conn2 = self.topology.peer_graph.get(self.partitions[next_i].node_id, set())
+      description1 = next((c.description for c in conn1 if c.to_id == self.partitions[next_i].node_id), "")
+      description2 = next((c.description for c in conn2 if c.to_id == partition.node_id), "")
+      connection_description = f"{description1}/{description2}"
+
       # Simple line drawing
       steps = max(abs(next_x - x), abs(next_y - y))
       for step in range(1, steps):
@@ -256,6 +263,15 @@ class TopologyViz:
         if 0 <= line_y < 48 and 0 <= line_x < 100:
           visualization[line_y][line_x] = "-"
 
+      # Add connection description near the midpoint of the line
+      mid_x = (x + next_x) // 2
+      mid_y = (y + next_y) // 2
+      # Center the description text around the midpoint
+      desc_start_x = mid_x - len(connection_description) // 2
+      for j, char in enumerate(connection_description):
+        if 0 <= mid_y < 48 and 0 <= desc_start_x + j < 100:
+          visualization[mid_y][desc_start_x + j] = char
+
     # Convert to string
     return "\n".join("".join(str(char) for char in row) for row in visualization)
 

install.sh

@@ -1,4 +1,4 @@
-#!/bin/bash
+#!/usr/bin/env bash
 
 if command -v python3.12 &>/dev/null; then
     echo "Python 3.12 is installed, proceeding with python3.12..."

scripts/compile_grpc.sh

@@ -1,7 +1,7 @@
-#!/bin/bash
+#!/usr/bin/env bash
 source ./install.sh
 pushd exo/networking/grpc
 python3 -m grpc_tools.protoc -I. --python_out=. --grpc_python_out=. node_service.proto
-sed -i "s/import\ node_service_pb2/from . &/" node_service_pb2_grpc.py
+sed -i '' "s/import\ node_service_pb2/from . &/" node_service_pb2_grpc.py
 popd
 

test/reconnect.sh

@@ -1,4 +1,4 @@
-#!/bin/bash
+#!/usr/bin/env bash
 
 echo "Starting node 1"
 DEBUG_DISCOVERY=7 DEBUG=7 python3 main.py --node-id "node1" --listen-port 5678 --broadcast-port 5679 --chatgpt-api-port 52415 --chatgpt-api-response-timeout 900 > output1.log 2>&1 &

test/test_model_helpers.py

@@ -34,7 +34,7 @@ test_cases = [
     expected_models_contains=["llama-3.2-1b", "llama-3.2-3b"],
     min_count=5,
     exact_count=None,
-    max_count=10
+    max_count=15
   ),
   TestCase(
     name="multiple_engines_or",
@@ -58,7 +58,7 @@ test_cases = [
     expected_models_contains=["llama-3.2-1b"],
     min_count=5,
     exact_count=None,
-    max_count=10
+    max_count=15
   ),
   TestCase(
     name="no_engines",
@@ -111,7 +111,7 @@ class TestModelHelpers(unittest.TestCase):
 
     # Special case for distinct lists test
     if case.name == "distinct_engine_lists":
-      self.assertLess(len(result), 10)
+      self.assertLess(len(result), 15)
       self.assertNotIn("mistral-nemo", result)
 
     if case.max_count: