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": [
"Blue Fox Run Golf Course"
],
"style": "rule"
} | {
"answer": [
"Blue Fox Run Golf Course"
],
"id": "wikisql-56211",
"question": "What is the location of the tournament where the ING New England Golf Classic winning percentage is 7000?",
"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": [
"2002"
],
"style": "rule"
} | {
"answer": [
"2002"
],
"id": "wikisql-56212",
"question": "What year is Japan the country for the ING New England Golf Classic?",
"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": [
"2009"
],
"style": "rule"
} | {
"answer": [
"2009"
],
"id": "wikisql-56213",
"question": "What year is Dewi Claire Schreefel Champion of the ING New England Golf Classic?",
"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": [
"9800"
],
"style": "rule"
} | {
"answer": [
"9800"
],
"id": "wikisql-56214",
"question": "What is the 2004 ING New England Golf Classic winning rate?",
"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": [
"Gillette Ridge Golf Club"
],
"style": "rule"
} | {
"answer": [
"Gillette Ridge Golf Club"
],
"id": "wikisql-56215",
"question": "What is the ING New England Golf Classic venue if Vicky Hurst wins the champion?",
"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": [
"Muhammad Ali Center"
],
"style": "rule"
} | {
"answer": [
"Muhammad Ali Center"
],
"id": "wikisql-56216",
"question": "What is the charity behind which The Apprentice US Season 7 Celebrity Heavyweight Champion is?",
"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": [
"Empresario"
],
"style": "rule"
} | {
"answer": [
"Empresario"
],
"id": "wikisql-56217",
"question": "The celebrity's original team that had the result 08 was fired in week 10 of 2008-03-06 apprentice season 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": [
"Nely Galán Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Nely Galán Category:Articles with hCards"
],
"id": "wikisql-56218",
"question": "Which celebrity among US squadrons of The Apprentice was raised in '03?",
"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": [
"Positive Vibrations Youth Mentoring Program"
],
"style": "rule"
} | {
"answer": [
"Positive Vibrations Youth Mentoring Program"
],
"id": "wikisql-56219",
"question": "What is the celebrity's charity with background reality star in The Apprentice (US season 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": [
"TV Judge / Tabloid Editor"
],
"style": "rule"
} | {
"answer": [
"TV Judge / Tabloid Editor"
],
"id": "wikisql-56220",
"question": "What is the background of the celebrity who had the score 13 the celebrity apprentice (2008-03-27) ?",
"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 Dynamo Kyiv"
],
"style": "rule"
} | {
"answer": [
"FC Dynamo Kyiv"
],
"id": "wikisql-56226",
"question": "What is the club if the first leg is 1-2 for Drogheda United 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": [
"UEFA Cup"
],
"style": "rule"
} | {
"answer": [
"UEFA Cup"
],
"id": "wikisql-56227",
"question": "What will the competition be like when the final score is 1-4 for Drogheda United 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": [
"1–1"
],
"style": "rule"
} | {
"answer": [
"1–1"
],
"id": "wikisql-56228",
"question": "What is the first leg when the club is ac libertas for Drogheda United 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": [
"2–1"
],
"style": "rule"
} | {
"answer": [
"2–1"
],
"id": "wikisql-56229",
"question": "What is the first leg when the second leg is 1-0 and Drogheda United FC's competition is the UEFA Champions League?",
"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": [
"UEFA Cup"
],
"style": "rule"
} | {
"answer": [
"UEFA Cup"
],
"id": "wikisql-56230",
"question": "What will the competition be like for Drogheda United FC if the second leg is 8-0?",
"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": [
"Second qualifying round"
],
"style": "rule"
} | {
"answer": [
"Second qualifying round"
],
"id": "wikisql-56231",
"question": "What is the round for Drogheda United FC if the first leg is 0-1?",
"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": [
"A018 +27.88%"
],
"style": "rule"
} | {
"answer": [
"A018 +27.88%"
],
"id": "wikisql-56246",
"question": "What is the percentage change (1990–2000) if the 2007 estimate for the I-35 corridor is 0 1,598,161?",
"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 6,498,410"
],
"style": "rule"
} | {
"answer": [
"0 6,498,410"
],
"id": "wikisql-56247",
"question": "What is the 2007 estimate for the I-35 corridor if the rank (csa) is 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": [
"00, 955,643"
],
"style": "rule"
} | {
"answer": [
"00, 955,643"
],
"id": "wikisql-56248",
"question": "What is the 2007 estimate for Tulsa-Bartlesville, ok csa under the I-35 corridor?",
"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-56249",
"question": "How many times was the rank (csa) was (msa 348) in I-35 Corridor?",
"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"
],
"style": "rule"
} | {
"answer": [
"34"
],
"id": "wikisql-56250",
"question": "What rank (csa) for percent change (1990-2000) was a034 +8.71% below the I-35 corridor?",
"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": [
"427000"
],
"style": "rule"
} | {
"answer": [
"427000"
],
"id": "wikisql-56278",
"question": "How many people live in Shangrao, Shangrao County, Anhui?",
"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": [
"餘干縣"
],
"style": "rule"
} | {
"answer": [
"餘干縣"
],
"id": "wikisql-56279",
"question": "How to traditionally write the name of Shangrao District, the area of which is 2331?",
"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-56280",
"question": "What is the capital of Shangrao District, whose simplified name is 信州区?",
"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": [
"184870"
],
"style": "rule"
} | {
"answer": [
"184870"
],
"id": "wikisql-56281",
"question": "How many people live in Shangrao District, whose capital is Héngfēng Xiàn?",
"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-56282",
"question": "What is the density of Shangrao in Yushan County?",
"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": [
"December 20, 2007"
],
"style": "rule"
} | {
"answer": [
"December 20, 2007"
],
"id": "wikisql-56285",
"question": "When did Quarterlife air episode \"Fear\" Part 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": [
"February 3, 2008"
],
"style": "rule"
} | {
"answer": [
"February 3, 2008"
],
"id": "wikisql-56286",
"question": "What was the air date of part 2 of the episode part 1 of which aired on January 31, 2008 for Quarterlife?",
"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": [
"Finding a Voice"
],
"style": "rule"
} | {
"answer": [
"Finding a Voice"
],
"id": "wikisql-56287",
"question": "What is the name of the 2009 Quarterlife episode that aired February 7, 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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-56288",
"question": "What is the episode number of \"Fear\" on Quarterlife?",
"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": [
"November 29, 2007"
],
"style": "rule"
} | {
"answer": [
"November 29, 2007"
],
"id": "wikisql-56289",
"question": "What is the air date of part 1 of the episode part 2 of which aired on Quarterlife on December 2, 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-56290",
"question": "How many parts of part 6 are there in quarterlife episode number 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": [
"4-2"
],
"style": "rule"
} | {
"answer": [
"4-2"
],
"id": "wikisql-56291",
"question": "From the Seattle Seahawks' 1985 season list, what is the record with the opposing Atlanta Falcons?",
"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-56292",
"question": "What is the number of opponents the Seattle Seahawks faced at Arrowhead Stadium in the 1985 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": [
"September 8, 1985"
],
"style": "rule"
} | {
"answer": [
"September 8, 1985"
],
"id": "wikisql-56293",
"question": "Name the date of the Seattle Seahawks' 1-0 record for the 1985 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": [
"2-0"
],
"style": "rule"
} | {
"answer": [
"2-0"
],
"id": "wikisql-56294",
"question": "Name the September 15, 1985 record for the Seattle Seahawks?",
"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": [
"1300000"
],
"style": "rule"
} | {
"answer": [
"1300000"
],
"id": "wikisql-56295",
"question": "What is the purse ( $ ) for Navistar LPGA Classic if the profit margin is 1 hit ?",
"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": [
"–15"
],
"style": "rule"
} | {
"answer": [
"–15"
],
"id": "wikisql-56296",
"question": "Looking at Navistar LPGA Classic, what is the number of \"evens\" in Mexico with a winning score of 67-67-69-70=273?",
"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": [
"Florida16"
],
"style": "rule"
} | {
"answer": [
"Florida16"
],
"id": "wikisql-56320",
"question": "In the 1992 United States House of Representatives election, name the District of Lawrence j. blacksmith ?",
"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": [
"Dante Fascell"
],
"style": "rule"
} | {
"answer": [
"Dante Fascell"
],
"id": "wikisql-56321",
"question": "Name the incumbent for 1954 United States House of Representatives elections, 1992. ?",
"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 F. Byrnes (D) 98.5% Isaac Myers (R) 1.5%"
],
"style": "rule"
} | {
"answer": [
"James F. Byrnes (D) 98.5% Isaac Myers (R) 1.5%"
],
"id": "wikisql-56406",
"question": "Who were the candidates in the elections to the United States House of Representatives in 1916 when the victor was chosen for the first time in 1910?",
"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": [
"Democratic"
],
"style": "rule"
} | {
"answer": [
"Democratic"
],
"id": "wikisql-56407",
"question": "What was the winning party when the incumbent was Richard S.? among the elections to the United States House of Representatives, 1916?",
"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-56408",
"question": "How many different candidates were there when the incumbent David e. Finley under the United States House of Representatives elections, 1916 ?",
"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": [
"Democratic"
],
"style": "rule"
} | {
"answer": [
"Democratic"
],
"id": "wikisql-56409",
"question": "What was the victor in the 3rd district of South Carolina in the United States House of Representatives elections, 1916?",
"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": [
"David E. Finley (D) 100%"
],
"style": "rule"
} | {
"answer": [
"David E. Finley (D) 100%"
],
"id": "wikisql-56410",
"question": "In the 1916 United States House of Representatives election, name the candidates in the 5th District of South Carolina. ?",
"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": [
"Muscle fibers—red Cartilage—blue Bone matrix—blue"
],
"style": "rule"
} | {
"answer": [
"Muscle fibers—red Cartilage—blue Bone matrix—blue"
],
"id": "wikisql-56428",
"question": "In histology, pink cytoplasm is seen in a test specifically staining what?",
"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-56429",
"question": "How many cytoplasms yield a blue nucleus for histology?",
"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": [
"Elastic fibers—blue/black"
],
"style": "rule"
} | {
"answer": [
"Elastic fibers—blue/black"
],
"id": "wikisql-56430",
"question": "A blue/black core specifically stains what from the histology?",
"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": [
"Red/purple"
],
"style": "rule"
} | {
"answer": [
"Red/purple"
],
"id": "wikisql-56431",
"question": "The pink cytoplasm will have a nucleus of what color in histology?",
"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": [
"Weigert`s elastic stain"
],
"style": "rule"
} | {
"answer": [
"Weigert`s elastic stain"
],
"id": "wikisql-56432",
"question": "What stain is commonly used for elastic fibers in histology?",
"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": [
"Spain"
],
"style": "rule"
} | {
"answer": [
"Spain"
],
"id": "wikisql-56433",
"question": "Where is the second place winner in the Junior Eurovision Song Contest from Great Britain?",
"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-56434",
"question": "How many locations does Spain have as the winner of the Junior Eurovision Song Contest?",
"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": [
"Anastasiya Petryk"
],
"style": "rule"
} | {
"answer": [
"Anastasiya Petryk"
],
"id": "wikisql-56435",
"question": "Who is the artist performing at Heineken Music Hall for the Junior Eurovision Song Contest?",
"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-56436",
"question": "What is the amount of Spain in second place in the Junior Eurovision Song Contest and the language is Russian?",
"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": [
"1388"
],
"style": "rule"
} | {
"answer": [
"1388"
],
"id": "wikisql-56437",
"question": "What is the minimum total for the United States presidential election in Kansas, 2004, where Kerry % is 16.71%?",
"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": [
"529"
],
"style": "rule"
} | {
"answer": [
"529"
],
"id": "wikisql-56438",
"question": "What is the minimum Kerry number with Bush % of 78.40% in the 2004 United States presidential election in Kansas?",
"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": [
"379"
],
"style": "rule"
} | {
"answer": [
"379"
],
"id": "wikisql-56439",
"question": "What is the Kerry Number from the United States Presidential Election in Kansas, 2004, where the county is Ness County, Kansas?",
"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-56440",
"question": "In the 2004 US presidential election in Kansas, how many total where the Bush number is 1552?",
"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": [
"7683"
],
"style": "rule"
} | {
"answer": [
"7683"
],
"id": "wikisql-56441",
"question": "What is the minimum Bush number for the United States Presidential Election in Kansas, 2004 where the Kerry number is 3938?",
"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-56442",
"question": "How many total in the United States presidential election in Kansas, 2004, where the county is Rooks County, Kansas?",
"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-56453",
"question": "Which number will you pick for Jerry Hill in the Wyoming Cowboys Football 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": [
"Jerry DePoyster"
],
"style": "rule"
} | {
"answer": [
"Jerry DePoyster"
],
"id": "wikisql-56454",
"question": "What kicker was designed for Wyoming Cowboys football?",
"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": [
"Dallas Cowboys"
],
"style": "rule"
} | {
"answer": [
"Dallas Cowboys"
],
"id": "wikisql-56455",
"question": "Which team drafted Steve Scifres in Wyoming Cowboys football?",
"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": [
"1966"
],
"style": "rule"
} | {
"answer": [
"1966"
],
"id": "wikisql-56456",
"question": "Regarding Wyoming Cowboy Football, what year was Jerry Marion drafted?",
"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": [
"143"
],
"style": "rule"
} | {
"answer": [
"143"
],
"id": "wikisql-56457",
"question": "How many numbers are in the draft for Jerry Marion for Wyoming Cowboys football?",
"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": [
"Anthony Weiner"
],
"style": "rule"
} | {
"answer": [
"Anthony Weiner"
],
"id": "wikisql-56465",
"question": "Who is the incumbent whose opponent is Anthony Weiner (d) unopposed in the 2006 United States House of Representatives election in New York?",
"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": [
"Peter King"
],
"style": "rule"
} | {
"answer": [
"Peter King"
],
"id": "wikisql-56466",
"question": "Who is the incumbent with opponent Peter King (R) 56.0% David Mejias (D) 44.0% in the United States House of Representatives elections in New York, 2006?",
"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-56467",
"question": "What is the electoral district in the United States House of Representatives elections in New York, 2006, where the party was Republican and was elected in 1998?",
"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-56468",
"question": "In the 2006 United States House of Representatives election in New York, what is the minimum district with incumbent Tom Reynolds?",
"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": [
"Reelected"
],
"style": "rule"
} | {
"answer": [
"Reelected"
],
"id": "wikisql-56469",
"question": "What about incumbent Eliot Engel in the 2006 United States House of Representatives elections in New York?",
"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": [
"90.3"
],
"style": "rule"
} | {
"answer": [
"90.3"
],
"id": "wikisql-56478",
"question": "What is the population density of the Brighton Region (local governments of Tasmania)?",
"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": [
"13194"
],
"style": "rule"
} | {
"answer": [
"13194"
],
"id": "wikisql-56479",
"question": "According to the Tasmania Local Government Area Census 2011, how many people live in the Sorell area?",
"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": [
"15000"
],
"style": "rule"
} | {
"answer": [
"15000"
],
"id": "wikisql-56486",
"question": "What was the minimum attendance for the 1961 Buffalo Bills season if the stadium was a Cotton Bowl?",
"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": [
"at Houston Oilers"
],
"style": "rule"
} | {
"answer": [
"at Houston Oilers"
],
"id": "wikisql-56487",
"question": "What is the opponent of the 1961 Buffalo Bills season where the stadium is Jeppesen Stadium?",
"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": [
"War Memorial Stadium"
],
"style": "rule"
} | {
"answer": [
"War Memorial Stadium"
],
"id": "wikisql-56488",
"question": "What is the stadium with the record of 1-1 for the 1961 Buffalo Bills 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-56489",
"question": "How many visitors with stadium as Cotton Bowl for 1961 Buffalo Bills 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": [
"W 26–21"
],
"style": "rule"
} | {
"answer": [
"W 26–21"
],
"id": "wikisql-56490",
"question": "What is the outcome if the opponent is with the Oakland Raiders in the 1961 Buffalo Bills 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": [
"15000"
],
"style": "rule"
} | {
"answer": [
"15000"
],
"id": "wikisql-56491",
"question": "What is the minimum attendance for a 4-6 record in the 1961 Buffalo Bills 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": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-56492",
"question": "What is Yurchikhin Fyodor Yurchikhin's number in the list of cumulative spacewalk records?",
"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": [
"42:23"
],
"style": "rule"
} | {
"answer": [
"42:23"
],
"id": "wikisql-56493",
"question": "From the list of cumulative spacewalk records, how long was the spacewalk numbered 17?",
"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-56494",
"question": "From the list of cumulative spacewalk records, how many agencies did Budarin Nikolai Budarin work for?",
"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-56495",
"question": "What are the total EVAs of the walk that lasted 45:34 among the cumulative spacewalk records?",
"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-56496",
"question": "How many different total EVAs are there for the walk that lasted 45:34 for the list of cumulative spacewalk records?",
"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": [
"NASA"
],
"style": "rule"
} | {
"answer": [
"NASA"
],
"id": "wikisql-56497",
"question": "Which agency does Anderson Clayton Anderson work for under the list of cumulative spacewalk records?",
"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": [
"697"
],
"style": "rule"
} | {
"answer": [
"697"
],
"id": "wikisql-56501",
"question": "What is the minimum population of the communes in Luxembourg with the canton of Redange?",
"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-56502",
"question": "List of Luxembourg communes, how many cantons with forest-cheap communes?",
"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-56517",
"question": "If Spencer is the county, what is the total (2010) population (rank) for Southwest Indiana?",
"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": [
"sqmi (km2) (2)"
],
"style": "rule"
} | {
"answer": [
"sqmi (km2) (2)"
],
"id": "wikisql-56518",
"question": "In southwestern Indiana, if Vincennes is the county seat, what is the area in square miles (km 2 ) (rank) ?",
"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": [
"25,940 (7)"
],
"style": "rule"
} | {
"answer": [
"25,940 (7)"
],
"id": "wikisql-56519",
"question": "If the area of sq mi (km 2 ) of southwest Indiana is sq mi (km 2 ) (5), what is the population (2010) (rank) ?",
"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-56520",
"question": "If the water boundary percentage is 63%, what is the total number of zip code prefixes in Southwest Indiana?",
"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": [
"74"
],
"style": "rule"
} | {
"answer": [
"74"
],
"id": "wikisql-56521",
"question": "In southwestern Indiana, when Spencer County is in No. ?",
"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-56528",
"question": "What is the 2006 San Francisco Seals (football) division?",
"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": [
"Conference Quarterfinals"
],
"style": "rule"
} | {
"answer": [
"Conference Quarterfinals"
],
"id": "wikisql-56529",
"question": "What was the San Francisco Seals (football) playoff result under the team name Bay Area Seals?",
"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": [
"3rd, Pacific"
],
"style": "rule"
} | {
"answer": [
"3rd, Pacific"
],
"id": "wikisql-56530",
"question": "Where did the San Francisco Seals (football) team finish in the season when the playoff result was division finals?",
"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": [
"Divisional Semifinals"
],
"style": "rule"
} | {
"answer": [
"Divisional Semifinals"
],
"id": "wikisql-56531",
"question": "What is the playoff score if the league is USISL and the regular season record is 1st, pacific among the San Francisco Seals (football)?",
"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-56532",
"question": "If the final score is Playoffs Conference Quarterfinals, how many divisions were won by the San Francisco Seals (football)?",
"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": [
"9587"
],
"style": "rule"
} | {
"answer": [
"9587"
],
"id": "wikisql-56533",
"question": "What was the lowest Southern Derby home attendance for the Carolina RailHawks FC 2007 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": [
"8th Place"
],
"style": "rule"
} | {
"answer": [
"8th Place"
],
"id": "wikisql-56534",
"question": "What was the result at Carolina RailHawks FC 2007 when the team played 14 home 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": [
"Semifinals"
],
"style": "rule"
} | {
"answer": [
"Semifinals"
],
"id": "wikisql-56535",
"question": "What was the result when the team went 4-1 to Carolina RailHawks FC in the 2007 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": [
"3000M to 4500M"
],
"style": "rule"
} | {
"answer": [
"3000M to 4500M"
],
"id": "wikisql-56536",
"question": "What kind of scenic and trekking route is the category that indicates the altitude from sea level in meters in Chamoli district?",
"split": "train"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.