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": [
"Group Performance"
],
"style": "rule"
} | {
"answer": [
"Group Performance"
],
"id": "wikisql-57429",
"question": "What is the theme of Soul Brothers Six song Michael Sarver?",
"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": [
"Hollywood"
],
"style": "rule"
} | {
"answer": [
"Hollywood"
],
"id": "wikisql-57430",
"question": "What week is Michael Sarver's First Solo theme?",
"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": [
"Audition"
],
"style": "rule"
} | {
"answer": [
"Audition"
],
"id": "wikisql-57431",
"question": "What week is the topic n/a at Michael Sarver?",
"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-57432",
"question": "How many songs by Michael Sarver have a total of #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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-57433",
"question": "What order No. 1 has Michael Sarver the result of bottom 2?",
"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": [
" Ain`t Goin` Down (`Til the Sun Comes Up) "
],
"style": "rule"
} | {
"answer": [
" Ain`t Goin` Down (`Til the Sun Comes Up) "
],
"id": "wikisql-57434",
"question": "What's the song of the name with an original artist Garth Brooks alongside Michael Sarver?",
"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": [
"April 6–8, 2009"
],
"style": "rule"
} | {
"answer": [
"April 6–8, 2009"
],
"id": "wikisql-57435",
"question": "On what date did Terry McAuliffe win 19% of the vote for Creigh Deeds' gubernatorial campaign, 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": [
"Survey USA"
],
"style": "rule"
} | {
"answer": [
"Survey USA"
],
"id": "wikisql-57436",
"question": "What was the source of the poll that gave McAuliffe 30% on June 8, 2009 under Creigh Deeds' 2009 gubernatorial campaign?",
"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%"
],
"style": "rule"
} | {
"answer": [
"22%"
],
"id": "wikisql-57437",
"question": "What was the record for Brian Moran in the Survey USA poll where Creigh Deeds had 26% below the 2009 gubernatorial campaign?",
"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": [
"Public Policy Polling"
],
"style": "rule"
} | {
"answer": [
"Public Policy Polling"
],
"id": "wikisql-57438",
"question": "What source showed Brian Moran at 19% for Creigh Deeds' gubernatorial campaign, 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": [
"Survey USA"
],
"style": "rule"
} | {
"answer": [
"Survey USA"
],
"id": "wikisql-57440",
"question": "Among Creigh Deeds' 2009 gubernatorial campaigns, which source gave 26% of the vote to Brian Moran?",
"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": [
"Italian Formula Junior 1600"
],
"style": "rule"
} | {
"answer": [
"Italian Formula Junior 1600"
],
"id": "wikisql-57445",
"question": "If the position is 12, what was the streak for Federico Leo?",
"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-57446",
"question": "If position is 9, what is the total number of podiums for Federico Leo?",
"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": [
"17th"
],
"style": "rule"
} | {
"answer": [
"17th"
],
"id": "wikisql-57447",
"question": "If there are 16 points, what was the position for Federico Leo?",
"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": [
"2008 (81st)"
],
"style": "rule"
} | {
"answer": [
"2008 (81st)"
],
"id": "wikisql-57454",
"question": "Among the list of Singapore nominations for the Oscar for Best Foreign Language Film, what is the year for is my magic?",
"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": [
"2011 (84th)"
],
"style": "rule"
} | {
"answer": [
"2011 (84th)"
],
"id": "wikisql-57455",
"question": "Name the year for Japanese in the list of Singaporean nominations for the Oscar for Best Foreign Language Film?",
"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": [
"Not Nominated"
],
"style": "rule"
} | {
"answer": [
"Not Nominated"
],
"id": "wikisql-57456",
"question": "From the list of Singaporean nominations for the Oscar for Best Foreign Language Film, what are the results for Already Famous?",
"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": [
"Not Nominated"
],
"style": "rule"
} | {
"answer": [
"Not Nominated"
],
"id": "wikisql-57457",
"question": "What is the result for Japanese in the list of Singaporean entries for the Oscar for best foreign language film?",
"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-57458",
"question": "What was the best top five finish from a 28.5 average start for David Green (racer)?",
"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": [
"21.7"
],
"style": "rule"
} | {
"answer": [
"21.7"
],
"id": "wikisql-57459",
"question": "What was the average result in 2007 for David Green (racer)?",
"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"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-57460",
"question": "How many poles did David Green (racer) get in 1996?",
"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": [
"5th"
],
"style": "rule"
} | {
"answer": [
"5th"
],
"id": "wikisql-57484",
"question": "Which positions are pole 2 for Harry Tincknell?",
"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-57485",
"question": "How many positions do F/Rounds of 1 and the British Formula 3 series have under Harry Tincknell?",
"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": [
"5th"
],
"style": "rule"
} | {
"answer": [
"5th"
],
"id": "wikisql-57486",
"question": "What position has 9 podiums for Harry Tincknell?",
"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-57487",
"question": "How many teams have 7th place under Harry Tincknell?",
"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-57488",
"question": "How many poles in British Formula Renault 2.0 Series and f/laps 1 in Harry Tincknell?",
"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": [
"323"
],
"style": "rule"
} | {
"answer": [
"323"
],
"id": "wikisql-57489",
"question": "How many points from pole is 1 for Harry Tincknell?",
"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-57490",
"question": "How many Wiaa classifications does Fort Vancouver High School have among Vancouver Public Schools?",
"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": [
"Skyview"
],
"style": "rule"
} | {
"answer": [
"Skyview"
],
"id": "wikisql-57491",
"question": "How many Vancouver Public Schools high schools have storm mascots?",
"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": [
"3A"
],
"style": "rule"
} | {
"answer": [
"3A"
],
"id": "wikisql-57492",
"question": "What wiaa classifications does vancouver itech prepraatory have from vancouver public schools 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": [
"Comprehensive 9–12"
],
"style": "rule"
} | {
"answer": [
"Comprehensive 9–12"
],
"id": "wikisql-57493",
"question": "What school classifications have trappers as mascots among Vancouver Public Schools?",
"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": [
"25 January 2010"
],
"style": "rule"
} | {
"answer": [
"25 January 2010"
],
"id": "wikisql-57497",
"question": "What was the date of appointment of the 10th person in Bundesliga 2009/10?",
"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": [
"30 June 2009"
],
"style": "rule"
} | {
"answer": [
"30 June 2009"
],
"id": "wikisql-57498",
"question": "What is the date of the vacancy for the person who left due to the end of the managerial contract for the 2009/10 Bundesliga?",
"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": [
"Cyclades"
],
"style": "rule"
} | {
"answer": [
"Cyclades"
],
"id": "wikisql-57500",
"question": "Which prefecture among the prefectures of Greece is listed as number 39 on the map?",
"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-57501",
"question": "How many prefectures in Greece have a population density of 16 inhabitants/sq km?",
"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-57502",
"question": "How many wins did Derrike Cope have when he had $95,180 in winnings?",
"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-57503",
"question": "How many top 10's did Derrike Cope have in the year he won $80,490?",
"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-57504",
"question": "As for Derrike Cope, is his lowest number of wins across all competitions ?",
"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-57505",
"question": "How many top 5s driving in Team #28/#49 Jay Robinson in Derrike Cope?",
"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": [
"81800"
],
"style": "rule"
} | {
"answer": [
"81800"
],
"id": "wikisql-57506",
"question": "What is the BTU/Gal of fuel whose kWh/Gal is 24.04 under Gasoline Gallon Equivalent?",
"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": [
"49.76"
],
"style": "rule"
} | {
"answer": [
"49.76"
],
"id": "wikisql-57507",
"question": "What is the HP -hr/gal of the fuel whose GGE is 0.9000 below the gasoline gallon equivalent?",
"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": [
"22.28"
],
"style": "rule"
} | {
"answer": [
"22.28"
],
"id": "wikisql-57508",
"question": "What is the HP -hr/Gal of Methanol Fuel (m100) in Gasoline Gallon Equivalent?",
"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": [
"49.76"
],
"style": "rule"
} | {
"answer": [
"49.76"
],
"id": "wikisql-57509",
"question": "What is the hp-h/gal of fuel under Gasoline Gallon Equivalent at 111.11% GGE?",
"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": [
"100.00%"
],
"style": "rule"
} | {
"answer": [
"100.00%"
],
"id": "wikisql-57510",
"question": "What is the GGE percentage of fuel with kWh/Gal of 33.41 for Gasoline Gallon Equivalent (GGE)?",
"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": [
"99.99966%"
],
"style": "rule"
} | {
"answer": [
"99.99966%"
],
"id": "wikisql-57511",
"question": "What is the percentage yield of Six Sigma at a DPMO of 3.4?",
"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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-57512",
"question": "6.7% of the Six Sigma crowd is flawed. How many percent yield numbers are there if 6.7% are defective?",
"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": [
"1.5"
],
"style": "rule"
} | {
"answer": [
"1.5"
],
"id": "wikisql-57513",
"question": "What is the long-term C PK if the short-term C PK for Six Sigma is 2.00?",
"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": [
"-0.5"
],
"style": "rule"
} | {
"answer": [
"-0.5"
],
"id": "wikisql-57514",
"question": "What is the sigma (with 1.5σ shift) under Six Sigma if 69% are in error?",
"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": [
"0.62%"
],
"style": "rule"
} | {
"answer": [
"0.62%"
],
"id": "wikisql-57515",
"question": "If sigma (with 1.5σ shift) is 2.5, what percentage of six sigma is in error?",
"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-57516",
"question": "What was the 2nd position sp for the 2009 Grand National?",
"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-57517",
"question": "How old was the horse when the SP 200/1 stood for the 2009 Grand National?",
"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": [
"3 lengths"
],
"style": "rule"
} | {
"answer": [
"3 lengths"
],
"id": "wikisql-57518",
"question": "What was the distance for 11th place at the 2009 Grand National?",
"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": [
"Tony McCoy"
],
"style": "rule"
} | {
"answer": [
"Tony McCoy"
],
"id": "wikisql-57519",
"question": "Who was the jockey for 7th place at the 2009 Grand National?",
"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": [
"¾ length"
],
"style": "rule"
} | {
"answer": [
"¾ length"
],
"id": "wikisql-57520",
"question": "What was the distance of the 2009 Grand National when the handicap was 11-2?",
"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-57521",
"question": "How many episodes of Harper's Island had 3.62 million viewers?",
"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-57522",
"question": "From the list of Harper's Island episodes, how many episodes does episode #11 have?",
"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-57523",
"question": "Among the episodes of List of Harper's Island, how many episode(s) had 3.63 million viewers?",
"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": [
"34 (0)"
],
"style": "rule"
} | {
"answer": [
"34 (0)"
],
"id": "wikisql-57529",
"question": "From Luton Town FC records and stats list, can you name the Northern Ireland League Cup?",
"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": [
"Mehdi Sohrabi"
],
"style": "rule"
} | {
"answer": [
"Mehdi Sohrabi"
],
"id": "wikisql-57530",
"question": "What is the score of 4 as a stage in 2009 Jelajah Malaysia?",
"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": [
"Azad University Iran"
],
"style": "rule"
} | {
"answer": [
"Azad University Iran"
],
"id": "wikisql-57532",
"question": "What is the team classification of mncf continental team malaysian team classification under 2009 jelajah malaysia?",
"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": [
"Azad University Iran"
],
"style": "rule"
} | {
"answer": [
"Azad University Iran"
],
"id": "wikisql-57533",
"question": "What is the team score for Taiji Nishitani as stage winner at Jelajah Malaysia 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": [
"7"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikisql-57546",
"question": "From the full results of the 2004 Indian general election, what is the lowest number of states contested under Apna Dal?",
"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": [
"358"
],
"style": "rule"
} | {
"answer": [
"358"
],
"id": "wikisql-57547",
"question": "Where 19 seats were won, what was the minimum number of seats lost for the full results of the 2004 Indian general election?",
"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-57548",
"question": "How many seats of the Akhil Bharatiya Rashtriya Azad back party were contested under the full results of the 2004 Indian general election?",
"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-57549",
"question": "How many parties lost a seat in the full results of the 2004 Indian General Election, contesting 1.04% of the seats?",
"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": [
"86371561"
],
"style": "rule"
} | {
"answer": [
"86371561"
],
"id": "wikisql-57550",
"question": "What is the lowest number of votes in elections contesting 34.39% of seats among full results of Indian general election 2004?",
"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": [
"Květa Peschke"
],
"style": "rule"
} | {
"answer": [
"Květa Peschke"
],
"id": "wikisql-57553",
"question": "Who were the partners when the score was 7:5, 2:6, [6:10] for Anna-Lena Grönefeld?",
"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": [
"Raquel Kops-Jones Abigail Spears"
],
"style": "rule"
} | {
"answer": [
"Raquel Kops-Jones Abigail Spears"
],
"id": "wikisql-57554",
"question": "Which opponents did Anna-Lena Grönefeld have at the Tokyo 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": [
"Cara Black"
],
"style": "rule"
} | {
"answer": [
"Cara Black"
],
"id": "wikisql-57555",
"question": "Considering Anna-Lena Grönefeld, who were the partners in games where the score was 1-6, 2-6?",
"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": [
"Květa Peschke"
],
"style": "rule"
} | {
"answer": [
"Květa Peschke"
],
"id": "wikisql-57556",
"question": "Who were Anna-Lena Grönefeld's partners in 2012?",
"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": [
"Runner-up"
],
"style": "rule"
} | {
"answer": [
"Runner-up"
],
"id": "wikisql-57557",
"question": "How did the games go when the score was 7:5, 2:6, [6:10] for Anna-Lena Grönefeld?",
"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": [
"Road course lap time"
],
"style": "rule"
} | {
"answer": [
"Road course lap time"
],
"id": "wikisql-57563",
"question": "What is each performance comparison when the score of 78 Monaco is 93.6 below Dodge St. Regis?",
"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": [
"91.1"
],
"style": "rule"
} | {
"answer": [
"91.1"
],
"id": "wikisql-57564",
"question": "What is each value for 78 Fury when the value of 78 Monaco is 93.6 for Dodge St Regis?",
"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": [
"Top Speed, mph"
],
"style": "rule"
} | {
"answer": [
"Top Speed, mph"
],
"id": "wikisql-57565",
"question": "What is each performance comparison when the score of 81 St. Regis in the Dodge St. Regis is 114.7?",
"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": [
"Engine (cid)"
],
"style": "rule"
} | {
"answer": [
"Engine (cid)"
],
"id": "wikisql-57566",
"question": "What is each performance comparison if 80 St. Regis 360 is below Dodge St. Regi?",
"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": [
"Union Labor"
],
"style": "rule"
} | {
"answer": [
"Union Labor"
],
"id": "wikisql-57567",
"question": "Name the ticket/office for the New York state elections in Orville Preston, 1887?",
"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": [
"Jesse S. L`Amoreaux"
],
"style": "rule"
} | {
"answer": [
"Jesse S. L`Amoreaux"
],
"id": "wikisql-57568",
"question": "Name the Comptroller for the Republicans in the New York state election of 1887?",
"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": [
"C. B. Hitchcock"
],
"style": "rule"
} | {
"answer": [
"C. B. Hitchcock"
],
"id": "wikisql-57569",
"question": "Name the Comptroller for the Office of Interdiction in the New York State Election, 1887?",
"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": [
"57.11"
],
"style": "rule"
} | {
"answer": [
"57.11"
],
"id": "wikisql-57573",
"question": "What was the free dance score in the case where Mark Hanretty's mandatory dance score was 15.99?",
"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-57574",
"question": "How many original dance scores are listed in the event where the mandatory dance was 20.03 for Mark Hanretty?",
"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 Figure Skating Championships"
],
"style": "rule"
} | {
"answer": [
"European Figure Skating Championships"
],
"id": "wikisql-57575",
"question": "In which event was Mark Hanretty's compulsory dance rated with 23.75 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": [
"Mont Blanc Trophy"
],
"style": "rule"
} | {
"answer": [
"Mont Blanc Trophy"
],
"id": "wikisql-57576",
"question": "At which event was the mandatory dance score for Mark Hanretty 28.12?",
"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": [
"ENG"
],
"style": "rule"
} | {
"answer": [
"ENG"
],
"id": "wikisql-57582",
"question": "What is the name of the country for Gerrard for Cardiff City FC's 2009/10 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-57583",
"question": "In the 2009/10 Cardiff City FC season, what is the number of ends for Cardiff City and df?",
"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-57584",
"question": "What is the total eu for Quinn in 2009-10 season from Cardiff City 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": [
"Brooklyn , Michigan"
],
"style": "rule"
} | {
"answer": [
"Brooklyn , Michigan"
],
"id": "wikisql-57592",
"question": "In the 1973 USAC Championship Car season, where is winning driver Bill Vukovich II?",
"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": [
"West Allis , Wisconsin"
],
"style": "rule"
} | {
"answer": [
"West Allis , Wisconsin"
],
"id": "wikisql-57593",
"question": "In the 1973 USAC Championship Car season, if the track is the Wisconsin State Fair Park Speedway and the winning driver is Wally Dallenbach, what was the location?",
"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-57594",
"question": "What is the RND total if the location is Brooklyn, Michigan and the pole position is Bobby Unser in the 1973 USAC Championship Car 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-57595",
"question": "If the pole position is Johnny Rutherford and the track is Ontario Motor Speedway, what is the RND total for the 1973 USAC Championship Car 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": [
"DMK"
],
"style": "rule"
} | {
"answer": [
"DMK"
],
"id": "wikisql-57596",
"question": "What did the party win in the 1967 Indian general election in Madras by a margin of 105731?",
"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": [
"INC"
],
"style": "rule"
} | {
"answer": [
"INC"
],
"id": "wikisql-57597",
"question": "What is the party of the Indian general elections in Madras, 1967, from which party does K. Anbazhagan win?",
"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-57598",
"question": "How many times did M. Gounder win for Party A in the Indian General Election, Madras, 1967?",
"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": [
"K. A. Nambiar"
],
"style": "rule"
} | {
"answer": [
"K. A. Nambiar"
],
"id": "wikisql-57599",
"question": "Who won when VA Muthiah was runner-up in the 1967 Indian general election in Madras?",
"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": [
"DMK"
],
"style": "rule"
} | {
"answer": [
"DMK"
],
"id": "wikisql-57600",
"question": "Which party was the winner of the 1967 Indian general election in Madras when A. Krishnaswamy came second?",
"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": [
"V. P. Chintan"
],
"style": "rule"
} | {
"answer": [
"V. P. Chintan"
],
"id": "wikisql-57601",
"question": "Who was runner-up for the Nagapattinam constituency in the 1967 Madras Indian General Election?",
"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": [
"K. Dhanaraju *"
],
"style": "rule"
} | {
"answer": [
"K. Dhanaraju *"
],
"id": "wikisql-57602",
"question": "Who came second to Sankar Adhi in the 2009 Indian general election in Tamil Nadu?",
"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": [
"ADMK"
],
"style": "rule"
} | {
"answer": [
"ADMK"
],
"id": "wikisql-57603",
"question": "Which party was K. Annamalai in the 2009 Tamil Nadu general election in India?",
"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": [
"Tommy Robredo"
],
"style": "rule"
} | {
"answer": [
"Tommy Robredo"
],
"id": "wikisql-57610",
"question": "Name partnership for round sf for Rafael Nadal career stats?",
"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-57611",
"question": "Give total number of rounds vs Netherlands for Rafael Nadal career stats?",
"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": [
"QF"
],
"style": "rule"
} | {
"answer": [
"QF"
],
"id": "wikisql-57612",
"question": "In Rafael Nadal's career stats, give the lap for John van Lottum Martin Verkerk?",
"split": "train"
} |
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