data_source stringclasses 1
value | agent_name stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|---|
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-68013",
"question": "How many FA cup goals does Jimmy Nicholson by name and league cup goals greater than 0 in Huddersfield Town FC season 1969/70?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"89 (49)"
],
"style": "rule"
} | {
"answer": [
"89 (49)"
],
"id": "wikisql-68014",
"question": "What are the points against 2001 and games won out of 5 (3) for the tours and series of the England rugby union team list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"105 (40)"
],
"style": "rule"
} | {
"answer": [
"105 (40)"
],
"id": "wikisql-68015",
"question": "What are the points against 2000 if the games won is 4(1) under England rugby union team tours and series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-68016",
"question": "From England national rugby union team tours and series list, what are the lost games if the games played were 2, the year was before 1999 and the points were for 24.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2004"
],
"style": "rule"
} | {
"answer": [
"2004"
],
"id": "wikisql-68017",
"question": "What is the earliest year games were drawn 0 versus points was 86 for List of England rugby union team tours and series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"End-Of-Year Tests"
],
"style": "rule"
} | {
"answer": [
"End-Of-Year Tests"
],
"id": "wikisql-68018",
"question": "What tournament or series was played among List of England national rugby union team tours and series in England when matches played were 4 points were for 121?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ferrari F430 Ferrari F430 Spider"
],
"style": "rule"
} | {
"answer": [
"Ferrari F430 Ferrari F430 Spider"
],
"id": "wikisql-68029",
"question": "What is the use for the Ferrari/Maserati engine f136e engine?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ferrari 458 Italia Ferrari 458 Spider"
],
"style": "rule"
} | {
"answer": [
"Ferrari 458 Italia Ferrari 458 Spider"
],
"id": "wikisql-68030",
"question": "Among the Ferrari/Maserati engines, what is the f136fb engine?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2013"
],
"style": "rule"
} | {
"answer": [
"2013"
],
"id": "wikisql-68033",
"question": "Which season of Philippine Army FC has a UFL cup of tbd?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Round of 16"
],
"style": "rule"
} | {
"answer": [
"Round of 16"
],
"id": "wikisql-68034",
"question": "Which PFF NMCC has an AFC PC from dnq under Philippine Army FC?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2012"
],
"style": "rule"
} | {
"answer": [
"2012"
],
"id": "wikisql-68035",
"question": "In which season does Philippine Army FC have a UFL Cup Quarterfinals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68036",
"question": "What is the starting grid total of driver Ryan Hunter-Reay who has 24+ points, 2008 Rexall Edmonton Indy?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-68037",
"question": "What is the 2008 Rexall Edmonton Indy driver Enrique Bernoldi (r)'s total points?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"CBS 4:00pm"
],
"style": "rule"
} | {
"answer": [
"CBS 4:00pm"
],
"id": "wikisql-68038",
"question": "What television time has a score of w 24–17 in the Miami Dolphins 2004 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikisql-68039",
"question": "What week has a tv time of cbs 1:00 pm and an attendance of 72,714 for the Miami Dolphins 2004 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"CBS 1:00pm"
],
"style": "rule"
} | {
"answer": [
"CBS 1:00pm"
],
"id": "wikisql-68040",
"question": "What TV time has a date of January 2, 2005 in the Miami Dolphins 2004 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sunk at"
],
"style": "rule"
} | {
"answer": [
"Sunk at"
],
"id": "wikisql-68042",
"question": "What was the fate and whereabouts of the German submarine U-333 in Ringstad?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68050",
"question": "What is the lowest gold having a silver under 2 Zimbabwe as a nation and a bronze under 1 under diving at the 1994 Commonwealth Games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1–0"
],
"style": "rule"
} | {
"answer": [
"1–0"
],
"id": "wikisql-68056",
"question": "Considering Ahmed Al-Fraidi did the game at Sultan Qaboos Sports Complex, Muscat, what score?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"31.0"
],
"style": "rule"
} | {
"answer": [
"31.0"
],
"id": "wikisql-68072",
"question": "Among the UK fuel economy ratings (TZ) May 2008, what is the lowest MPG-US combined for a green rating of E, mpg in the UK - combined under 42.2, make Volkswagen and an M6 gearbox?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14.100000000000001"
],
"style": "rule"
} | {
"answer": [
"14.100000000000001"
],
"id": "wikisql-68073",
"question": "For UK fuel economy ratings (TZ) list May 2008 what is average L/100km urban with L/100km extra urban below 7.2, mpg combined in UK below 39.8, l/100km combined over 7 .9 and mpg combined in US under 25.1 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"49.6",
"51.4"
],
"style": "rule"
} | {
"answer": [
"49.6",
"51.4"
],
"id": "wikisql-68074",
"question": "From the UK Fuel Economy Ratings (TZ) list of May 2008 what is the mpg-UK urban (cold) for a fuel type of diesel, MPG outside cities in the UK above 68.9, displacement of 1422 and L/100km urban (cold) over 5.1 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"G",
"F",
"G",
"G",
"G",
"G",
"G",
"G"
],
"style": "rule"
} | {
"answer": [
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"F",
"G",
"F",
"G",
"G",
"G",
"G",
"G",
"G"
],
"id": "wikisql-68075",
"question": "From UK ... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12.6"
],
"style": "rule"
} | {
"answer": [
"12.6"
],
"id": "wikisql-68076",
"question": "From the UK Fuel Consumption (TZ) List May 2008, what is the average l/100km urban (cold) for engine powers above 1910, US mpg (urban) below 25.3, UK mpg (combined) above 27 .2 and UK mpg (urban cold) of 22.4?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"22.0"
],
"style": "rule"
} | {
"answer": [
"22.0"
],
"id": "wikisql-68077",
"question": "From the May 2008 UK Fuel Economy Ratings (TZ) list, what is the lowest combined mpg in the US for the A6 gearbox, a CO2 g/km below 303, an engine power above 2461 and l/100km urban (cold ) from 15.9 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jennifer James"
],
"style": "rule"
} | {
"answer": [
"Jennifer James"
],
"id": "wikisql-68080",
"question": "From the Penthouse Pets List, who's in October when Carina Ragnarsson is in November?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Danielle Ginibre"
],
"style": "rule"
} | {
"answer": [
"Danielle Ginibre"
],
"id": "wikisql-68081",
"question": "List of Penthouse Pets November 1979 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Juliet Cariaga"
],
"style": "rule"
} | {
"answer": [
"Juliet Cariaga"
],
"id": "wikisql-68082",
"question": "Who's in December when Alexus Winston is on November's Penthouse Pet List?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Peach"
],
"style": "rule"
} | {
"answer": [
"Peach"
],
"id": "wikisql-68083",
"question": "Penthouse pets list, who is after 1988 in November when princezess is in October?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Magomedkhan Gamzatkhanov"
],
"style": "rule"
} | {
"answer": [
"Magomedkhan Gamzatkhanov"
],
"id": "wikisql-68088",
"question": "Who is the opponent of the game with a record of 0-1 under Akira Maeda?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8:47"
],
"style": "rule"
} | {
"answer": [
"8:47"
],
"id": "wikisql-68089",
"question": "What is the time of the game with a 3-3 record for Akira Maeda?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Submission (armbar)"
],
"style": "rule"
} | {
"answer": [
"Submission (armbar)"
],
"id": "wikisql-68090",
"question": "What is the method of play with a time of 4:07 for Akira Maeda?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9th"
],
"style": "rule"
} | {
"answer": [
"9th"
],
"id": "wikisql-68103",
"question": "What is the position for Discus in 2013 at Mykyta Nesterenko?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2005"
],
"style": "rule"
} | {
"answer": [
"2005"
],
"id": "wikisql-68105",
"question": "In which year did Krzysztof Hołowczyc own a Mitsubishi vehicle?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cars"
],
"style": "rule"
} | {
"answer": [
"Cars"
],
"id": "wikisql-68106",
"question": "What class was a Nissan vehicle under Krzysztof Hołowczyc in 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"BMW"
],
"style": "rule"
} | {
"answer": [
"BMW"
],
"id": "wikisql-68107",
"question": "Which car had a car class with 0 won stages and 5th place under Krzysztof Hołowczyc in the years after 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2012"
],
"style": "rule"
} | {
"answer": [
"2012"
],
"id": "wikisql-68108",
"question": "What year was position 9 under Krzysztof Hołowczyc?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Private owner."
],
"style": "rule"
} | {
"answer": [
"Private owner."
],
"id": "wikisql-68115",
"question": "Which owners have a description of the Hunslet Engine Company 0-6-0st in the Llangollen Railway rolling stock list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kathmandu , Nepal"
],
"style": "rule"
} | {
"answer": [
"Kathmandu , Nepal"
],
"id": "wikisql-68124",
"question": "What is the venue of Hashim Saleh on October 28, 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Won"
],
"style": "rule"
} | {
"answer": [
"Won"
],
"id": "wikisql-68125",
"question": "What is the result on September 10, 2008 under Hashim Saleh?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-68129",
"question": "What nationality is Erin Donohue among the track and field athletes at the 2008 Summer Olympics - Women's 1500 meters?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68130",
"question": "How many heats did runners from Guinea-Bissau run in athletics at the 2008 Summer Olympics - women's 1500 meters sprint higher than 33?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1 - 3"
],
"style": "rule"
} | {
"answer": [
"1 - 3"
],
"id": "wikisql-68131",
"question": "What is the 1st round if team 1 is Stade Lavallois (d2) from 1975-76 Coupe de France?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4 - 1"
],
"style": "rule"
} | {
"answer": [
"4 - 1"
],
"id": "wikisql-68132",
"question": "When was the 1st round when team was 2 usl Dunkerque (d2) for 1975–76 Coupe de France?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"FC Metz (D1)"
],
"style": "rule"
} | {
"answer": [
"FC Metz (D1)"
],
"id": "wikisql-68133",
"question": "1975–76 Coupe de France, who is team 1 when team 2 is usl dunkerque (d2)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tashkent, Uzbekistan"
],
"style": "rule"
} | {
"answer": [
"Tashkent, Uzbekistan"
],
"id": "wikisql-68134",
"question": "What is contestant Lenny Veltman's hometown on The Apprentice (US Season 5)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Psychotherapist"
],
"style": "rule"
} | {
"answer": [
"Psychotherapist"
],
"id": "wikisql-68135",
"question": "What is the background of the Barrington, Illinois contestant in US season 5 of The Apprentice?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gold Rush"
],
"style": "rule"
} | {
"answer": [
"Gold Rush"
],
"id": "wikisql-68136",
"question": "In Season 5 of The Apprentice US, what is the original clothing company owner candidate team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68137",
"question": "Regarding Albania in Eurovision Song Contest 2009, what is the average place if the artist is Juliana Pasha & Luiz Ejlli and the points are more than 119?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nuk je ti"
],
"style": "rule"
} | {
"answer": [
"Nuk je ti"
],
"id": "wikisql-68138",
"question": "Which song did Albania achieve with 17 points in the Eurovision Song Contest 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"28"
],
"style": "rule"
} | {
"answer": [
"28"
],
"id": "wikisql-68151",
"question": "What is the IS-2 if the KV-1S 114 is under the Kliment Voroshilov tank?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"37"
],
"style": "rule"
} | {
"answer": [
"37"
],
"id": "wikisql-68152",
"question": "What is the IS-3 if the KV-1S 45 is under the Kliment Voroshilov tank?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"–"
],
"style": "rule"
} | {
"answer": [
"–"
],
"id": "wikisql-68153",
"question": "What is the T-100 if the IS-3 is 150 (225) in the Kliment Voroshilov tank?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"37"
],
"style": "rule"
} | {
"answer": [
"37"
],
"id": "wikisql-68154",
"question": "What is the IS-3 if the KV-85 is 40 under the Kliment Voroshilov tank?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"40"
],
"style": "rule"
} | {
"answer": [
"40"
],
"id": "wikisql-68155",
"question": "What is the KV-85 if the KV-1S 45 is for the Kliment Voroshilov tank?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-68156",
"question": "What is the total bronze medals won by South Korea at the 2008 World Junior Wrestling Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2005"
],
"style": "rule"
} | {
"answer": [
"2005"
],
"id": "wikisql-68157",
"question": "In what year did the Park Tudor School join IHSAA Class AA at the Indiana Crossroads Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"AA"
],
"style": "rule"
} | {
"answer": [
"AA"
],
"id": "wikisql-68158",
"question": "What IHSAA class is the Indiana Crossroads Conference speedway school in?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"AA"
],
"style": "rule"
} | {
"answer": [
"AA"
],
"id": "wikisql-68159",
"question": "Which ISHAA school joined the Indiana Crossroads Conference in 2012 and has a Panther mascot?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chicago White Sox"
],
"style": "rule"
} | {
"answer": [
"Chicago White Sox"
],
"id": "wikisql-68162",
"question": "What is SS Player Rich McKinney's team in the 1968 Major League Baseball Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"James Hairston"
],
"style": "rule"
} | {
"answer": [
"James Hairston"
],
"id": "wikisql-68163",
"question": "What's the Dayton, Oh, player with a pick of 15 or more in the 1968 Major League Baseball Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-68164",
"question": "What is the Stamford, CT player's pick under the 1968 Major League Baseball Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Pistoia"
],
"style": "rule"
} | {
"answer": [
"Pistoia"
],
"id": "wikisql-68172",
"question": "What is listed as the birthplace of the Elector of Soffredo at the papal election in October 1187?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"San Severino"
],
"style": "rule"
} | {
"answer": [
"San Severino"
],
"id": "wikisql-68173",
"question": "Which place of birth is listed that has an elevator from Alexander III. and has an elector by Ruggiero Di San Severino in the papal election in October 1187?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lucius III"
],
"style": "rule"
} | {
"answer": [
"Lucius III"
],
"id": "wikisql-68174",
"question": "What is the procession that also bears the cardinal title of deacon of S. Maria in Portico at the papal election in October 1187?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Giovanni Conti da Anagni"
],
"style": "rule"
} | {
"answer": [
"Giovanni Conti da Anagni"
],
"id": "wikisql-68175",
"question": "What is listed for the elector who also bears the cardinal title of priest of S. Marco in the papal elections of October 1187?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lucius III"
],
"style": "rule"
} | {
"answer": [
"Lucius III"
],
"id": "wikisql-68176",
"question": "What is the elevator that has the elector of Gerardo in the papal election of October 1187?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lucca"
],
"style": "rule"
} | {
"answer": [
"Lucca"
],
"id": "wikisql-68177",
"question": "What is listed as the birthplace of the Elector of Pandolfo at the papal election in October 1187?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"European Championships"
],
"style": "rule"
} | {
"answer": [
"European Championships"
],
"id": "wikisql-68189",
"question": "Considering Dmitry Klokov, which competition had a 2010 with a snatch weight of 185 kg?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"185kg"
],
"style": "rule"
} | {
"answer": [
"185kg"
],
"id": "wikisql-68190",
"question": "Under Dmitry Klokov, what was the snatch weight for the year totaling 409 kg?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"221kg"
],
"style": "rule"
} | {
"answer": [
"221kg"
],
"id": "wikisql-68191",
"question": "What was the clean and jerk weight for the year that had a snatch result of 190kg under Dmitry Klokov?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-68192",
"question": "What was the highest place result in 2010 with a clean and jerk weight of 224 kg for Dmitry Klokov?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"World Championships"
],
"style": "rule"
} | {
"answer": [
"World Championships"
],
"id": "wikisql-68193",
"question": "Which competition led to a total weight of 428kg for Dmitry Klokov?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Olympic record"
],
"style": "rule"
} | {
"answer": [
"Olympic record"
],
"id": "wikisql-68195",
"question": "What is the world record if the 138kg is 137kg in weightlifting at the 2008 Summer Olympics - men 56kg?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Halil Mutlu ( TUR )"
],
"style": "rule"
} | {
"answer": [
"Halil Mutlu ( TUR )"
],
"id": "wikisql-68196",
"question": "What is the Halil Mutlu when the world record is an Olympic record and the 138kg is 167kg in weightlifting at the 2008 Summer Olympics - Men's 56kg?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68198",
"question": "Name the gold that a Nation of Australia and a bronze less than 1 has for the 1998 ICF Canoe Sprint World Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68199",
"question": "For the 1998 ICF Canoe Sprint World Championships, which is the Czech Republic's highest bronze medal with a total less than 4 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"26"
],
"style": "rule"
} | {
"answer": [
"26"
],
"id": "wikisql-68200",
"question": "At the 1998 ICF Canoe Sprint World Championships, name the highest bronze with a gold value greater than 2 and an overall ranking of ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68201",
"question": "Count the average gold a Swedish nation has and a silver greater than 1 for the 1998 ICF Canoe Sprint World Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68214",
"question": "What is the highest attendance in Detroit Lions season 1961 if week is less than 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9"
],
"style": "rule"
} | {
"answer": [
"9"
],
"id": "wikisql-68215",
"question": "What is the week in the 1961 Detroit Lions season that the audience attendance exceeds 53,854 and the date is November 12, 1961?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68216",
"question": "What is the week the score is w 14-13 and the Detroit Lions 1961 season attendance is greater than 53,295?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ateneo de Manila"
],
"style": "rule"
} | {
"answer": [
"Ateneo de Manila"
],
"id": "wikisql-68217",
"question": "What college did Richard Ticzon attend under the 1994 PBA draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Edward Juinio"
],
"style": "rule"
} | {
"answer": [
"Edward Juinio"
],
"id": "wikisql-68218",
"question": "Which player went to college with Up-Diliman and has been on the Alaska Milkmen PBA team since the 1994 PBA draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Philippines"
],
"style": "rule"
} | {
"answer": [
"Philippines"
],
"id": "wikisql-68219",
"question": "What is the country of origin of the player playing on Tondena 65 Rhum under the 1994 PBA Drafts?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-68220",
"question": "How many silver medals at the 1982 ICF Canoe Sprint World Championships with a total of 2 and less than 1 bronze medal?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11"
],
"style": "rule"
} | {
"answer": [
"11"
],
"id": "wikisql-68221",
"question": "What is the total when bronze was more than 1, silver was 3 and gold was less than 5 at the 1982 ICF Canoe Sprint World Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68222",
"question": "What is the gold medal count for Total Nation with a bronze count greater than 0 and a total less than 54 at the 1982 ICF Canoe Sprint World Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kenai Peninsula"
],
"style": "rule"
} | {
"answer": [
"Kenai Peninsula"
],
"id": "wikisql-68223",
"question": "What is the community or A[›] census area in the list of dams and reservoirs in Alaska when the name is A[›] Jerome Lake Dam?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dam"
],
"style": "rule"
} | {
"answer": [
"Dam"
],
"id": "wikisql-68224",
"question": "From the list of dams and reservoirs in Alaska, what is the dam or A[› ] reservoir when the county or A[› ] census area is Valdez-Cordova (ca), the gnis feature id # link A[ › ] B[ › ] is less than 1417275 and the name A[› ] is sandra lake dam ?",
... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Reservoir"
],
"style": "rule"
} | {
"answer": [
"Reservoir"
],
"id": "wikisql-68225",
"question": "What is the dam or reservoir [›] if the gnis feature id # link a [›] b [›] is 1415517 in the list of dams and reservoirs in Alaska?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1417247"
],
"style": "rule"
} | {
"answer": [
"1417247"
],
"id": "wikisql-68226",
"question": "What is the highest gnis feature id# link a[›] b[›] when the name a[›] Upper Dewey Lake Dam is among the list of dams and reservoirs in Alaska?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Connell Lake",
"Fawn Lake",
"Fawn Lake",
"Lower and Upper Ketchikan Lakes",
"Saxman Reservoir",
"Lower Silvis Lake",
"Upper Silvis Lake",
"Whitman Lake"
],
"style": "rule"
} | {
"answer": [
"Connell Lake",
"Fawn Lake",
"Fawn Lake",
"Lower and Upper Ketchikan Lakes",
"Saxman Reservoir",
"Lower Silvis Lake",
"Upper Silvis Lake",
"Whitman Lake"
],
"id": "wikisql-68227",
"question": "In the List of Dams and Reservoirs in Alaska, what is the name of a [›] i... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68238",
"question": "What is the most points for a vehicle with a lola thl1, chassis later than 1986 on Patrick Tambay?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1979"
],
"style": "rule"
} | {
"answer": [
"1979"
],
"id": "wikisql-68239",
"question": "In Patrick Tambay, what is the last year with less than 2 points, a McLaren m28 chassis and a competitor from the Löwenbräu team McLaren?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68240",
"question": "What is the last year for participants of equipe talbot gitanes with less than 1 point under Patrick Tambay?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2019 planned"
],
"style": "rule"
} | {
"answer": [
"2019 planned"
],
"id": "wikisql-68241",
"question": "When was the reactor of the Bugey nuclear power plant with a rated power of 945 MW, the construction of which ended on May 10, 1978, closed?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"945 MW"
],
"style": "rule"
} | {
"answer": [
"945 MW"
],
"id": "wikisql-68242",
"question": "What is the nominal power of the reactor whose construction ended on May 10, 1978 at the Bugey nuclear power plant?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rest day",
"Rest day",
"Rest day",
"Rest day"
],
"style": "rule"
} | {
"answer": [
"Rest day",
"Rest day",
"Rest day",
"Rest day"
],
"id": "wikisql-68246",
"question": "Which course had a rest day for the race director in the 1948 Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-68251",
"question": "In Tai Wai, what is the number of inaug. if the type is public, if the name is Mei Lam Estate and if the unit count is greater than 4,156?",
"split": "train"
} |
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