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": [
"Space Invaders"
],
"style": "rule"
} | {
"answer": [
"Space Invaders"
],
"id": "wikisql-43109",
"question": "What is the console when Space Invaders is the arcade under the Game of the Year Awards Arcade Awards/Electronic Gaming Awards?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikisql-43113",
"question": "What is the 1999 Major League Baseball Draft pick if the school is Jasper HS (Jasper, Texas) for the first round pick?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Barry Zito"
],
"style": "rule"
} | {
"answer": [
"Barry Zito"
],
"id": "wikisql-43114",
"question": "If the position is p and the team Oakland Athletics is a first round pick of the 1999 Major League Baseball Draft, who is the player?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"University of Arkansas"
],
"style": "rule"
} | {
"answer": [
"University of Arkansas"
],
"id": "wikisql-43115",
"question": "From the 1999 Major League Baseball Draft first-round pick, what's the school if the team is the New York Yankees?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Josh Beckett"
],
"style": "rule"
} | {
"answer": [
"Josh Beckett"
],
"id": "wikisql-43116",
"question": "In the 1999 Major League Baseball Draft, who is the player if the school is selected in the first round of the Spring Hs (Spring, Texas)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"71–70–73=214"
],
"style": "rule"
} | {
"answer": [
"71–70–73=214"
],
"id": "wikisql-43122",
"question": "What did the Australian golfer score in the third round of the 2009 PGA Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Meredith Heron"
],
"style": "rule"
} | {
"answer": [
"Meredith Heron"
],
"id": "wikisql-43133",
"question": "Who was the designer of Restaurant Makeover Season 1 of The Grapefruit Moon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Human Bean"
],
"style": "rule"
} | {
"answer": [
"Human Bean"
],
"id": "wikisql-43135",
"question": "What is the name of the Cobourg, ON restaurant that starred Robin de Groot as a designer in the first season of Restaurant Makeover?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Russia"
],
"style": "rule"
} | {
"answer": [
"Russia"
],
"id": "wikisql-43147",
"question": "What Rowing at the 2008 Summer Olympics - Semi-Finals AB 1 Men's Sculls from the Country of Rowers with a rank greater than 4 and a time of 5:59.56?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6:06.80"
],
"style": "rule"
} | {
"answer": [
"6:06.80"
],
"id": "wikisql-43148",
"question": "What is the time of the Belarusian player with a rank greater than 2 and notes from FB in rowing at the 2008 Summer Olympics - Men's Quadruple Sculls Semifinals A/B 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": [
"5:51.29"
],
"style": "rule"
} | {
"answer": [
"5:51.29"
],
"id": "wikisql-43149",
"question": "What is the time of the player with a rank of 1 or 2 and notes from FA in Rowing at the 2008 Summer Olympics - Men's Quadruple Sculls Semifinals A/B 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": [
"Wasielewski , Kolbowicz , Jelinski , Korol"
],
"style": "rule"
} | {
"answer": [
"Wasielewski , Kolbowicz , Jelinski , Korol"
],
"id": "wikisql-43150",
"question": "Who are the semi-final AB 1 rowers from Poland in rowing at the 2008 Summer Olympics - Men's Quadruple Sculls?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Vitasek , Dolecek , Hanak , Jirka"
],
"style": "rule"
} | {
"answer": [
"Vitasek , Dolecek , Hanak , Jirka"
],
"id": "wikisql-43151",
"question": "Who are the rowers with a time of 5:56.38 in the row at the 2008 Summer Olympics – Men's Quadruple Sculls Semifinals A/B 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": [
"1954-05-22"
],
"style": "rule"
} | {
"answer": [
"1954-05-22"
],
"id": "wikisql-43152",
"question": "What is the release date of Claws For Alarm, which has a director by Charles M. Jones, no reissue and a production number less than 1323 in the Looney Tunes and Merrie Melodies (1950–59) filmography in 1954?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-43155",
"question": "In the Looney Tunes and Merrie Melodies (1950-59) filmography, what is the production number for Bell Hoppy in the 1954 MM series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43156",
"question": "How many Torneo Clausura in Paraguayan football in 2000 scored losses less than 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43157",
"question": "Which victories have losses less than 6 and a position of 4 and were played greater than 9 in 2000 Paraguayan Torneo Clausura 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-43158",
"question": "How many Torneo Clausura conceded in 2000 had wins less than 3 and points greater than 11?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-43159",
"question": "Which tie has points less than 15 and a goal conceded greater than 10 and a position greater than 8 and wins of 1 under 2000 Torneo Clausuras Paraguayan 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-43160",
"question": "How many losses have 11 points in 2000 Paraguayan football Torneo Clausura ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1935-10-12"
],
"style": "rule"
} | {
"answer": [
"1935-10-12"
],
"id": "wikisql-43183",
"question": "What is the release date of 6998 as a production number in the Looney Tunes and Merrie Melodies (1929–39) filmography in 1935?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jack King"
],
"style": "rule"
} | {
"answer": [
"Jack King"
],
"id": "wikisql-43184",
"question": "Which director has lt as a series, with 6982 as the production number. for Looney Tunes and Merrie Melodies filmography (1929–39)'s 1935 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Buddy of the Legion"
],
"style": "rule"
} | {
"answer": [
"Buddy of the Legion"
],
"id": "wikisql-43186",
"question": "What is the title of the series, Ben Hardaway directing, with 6612 as the production number. for Looney Tunes and Merrie Melodies filmography (1929–39)'s Series 1935 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1962"
],
"style": "rule"
} | {
"answer": [
"1962"
],
"id": "wikisql-43188",
"question": "Among The Crusaders, what is the earliest year with a label number of st-43 among the band's albums?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Uh Huh"
],
"style": "rule"
} | {
"answer": [
"Uh Huh"
],
"id": "wikisql-43189",
"question": "What is the song title on the Pacific Jazz label and a label number of st-20124 among The Crusaders albums as ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Studio"
],
"style": "rule"
} | {
"answer": [
"Studio"
],
"id": "wikisql-43190",
"question": "What is the nature of The Crusaders before 1968 and a title that stretches among albums?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Toronto Blue Jays"
],
"style": "rule"
} | {
"answer": [
"Toronto Blue Jays"
],
"id": "wikisql-43191",
"question": "Which 1996 Major League Baseball Draft First Round Pick is Pick 31?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"P"
],
"style": "rule"
} | {
"answer": [
"P"
],
"id": "wikisql-43192",
"question": "According to the 1996 Major League Baseball Draft, if the pick is higher than 32 and the team is the Atlanta Braves Supplemental First Round Selection, what position?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-43203",
"question": "1958 What was the production number of the filmography of Looney Tunes and Merrie Melodies (1950–59), episode title with the pre-hysterical rabbit?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Friz Freleng"
],
"style": "rule"
} | {
"answer": [
"Friz Freleng"
],
"id": "wikisql-43204",
"question": "Which director had a production number of 1490 in the Looney Tunes and Merrie Melodies (1950–59) filmography in 1958?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Junichi Miyashita",
"Tomomi Morita"
],
"style": "rule"
} | {
"answer": [
"Junichi Miyashita",
"Tomomi Morita"
],
"id": "wikisql-43206",
"question": "Which name has a time greater than 53.06 and a lane less than 8 and a rank greater than 2 and Japanese nationality among the swimmers in the 2008 Summer Olympics - Men's 100m Backstroke, Semifinals 1?",
"split": ... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43207",
"question": "How many lanes have a time of 53.61 and a rank greater than 3 in Swimming at the 2008 Summer Olympics - Men's 100m Backstroke, Semifinal 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": [
"Sant Cugat , Spain"
],
"style": "rule"
} | {
"answer": [
"Sant Cugat , Spain"
],
"id": "wikisql-43222",
"question": "Which tournament did Alberta Brianti face as an opponent with a score of 6-4 2-6 6-2 among Arantxa Rus' Singles: 15 (10-5)?",
"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": [
"13 February 2011"
],
"style": "rule"
} | {
"answer": [
"13 February 2011"
],
"id": "wikisql-43223",
"question": "When was the result 3-6 4-6 for Arantxa Rus in singles:15 (10-5) in 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43224",
"question": "What is the rank of the swimmer with a time of 2:25.65 in a lane greater than 3 among swimmers at the 2008 Summer Olympics - Women's 200m Breaststroke, Semifinals 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-43226",
"question": "How many forfaits had wins less than 8 and losses greater than 16 in the Millewa Football League 2012 Ladder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-43227",
"question": "How many losses does a Millewa from Nangiloc have in the 2012 Millewa Football League Ladder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43228",
"question": "How many losses have ties greater than 0 for 2012 Millewa Football League Ladder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43230",
"question": "What is the average rank of Elise Matthysen swimming at the 2008 Summer Olympics - Women's 100m Breaststroke Semifinal 1 on lanes under 8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1:07.50"
],
"style": "rule"
} | {
"answer": [
"1:07.50"
],
"id": "wikisql-43231",
"question": "What is Yuliya Yefimova's time from swimming at the 2008 Summer Olympics - Women's 100m Breaststroke Semifinal 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": [
"Kirsty Balfour"
],
"style": "rule"
} | {
"answer": [
"Kirsty Balfour"
],
"id": "wikisql-43232",
"question": "Swimming at the 2008 Summer Olympics - Women's 100m Breaststroke, Semi-Final 1, who was number 3 from Great Britain in lanes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4-6-2"
],
"style": "rule"
} | {
"answer": [
"4-6-2"
],
"id": "wikisql-43233",
"question": "What axle arrangement was made in 1910 for the 1910s Northern Pacific Railway 4-6-2 locomotives?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1929–1947"
],
"style": "rule"
} | {
"answer": [
"1929–1947"
],
"id": "wikisql-43234",
"question": "What years are the retired Northern Pacific Railway locomotives 27317-27336 serial numbers under 4-6-2?",
"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": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-43241",
"question": "What is the rank of the man from China with grades of QS in canoeing at the 2008 Summer Olympics - Men's C-2 1000 meters heat 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": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikisql-43242",
"question": "What is the rank for the competitor from Bulgaria in canoeing at the 2008 Summer Olympics - Men's C-2 1000 meters heat 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": [
"Chen Zhongyun , Zhang Zhiwu"
],
"style": "rule"
} | {
"answer": [
"Chen Zhongyun , Zhang Zhiwu"
],
"id": "wikisql-43243",
"question": "Which athlete is ranked under 5 and is from China in Canoeing at the 2008 Summer Olympics - Men's C-2 1000 meters Heat 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": [
"Super Mario Galaxy"
],
"style": "rule"
} | {
"answer": [
"Super Mario Galaxy"
],
"id": "wikisql-43244",
"question": "Which game was a platformer among Game of the Year Awards Kotaku?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Firaxis Games"
],
"style": "rule"
} | {
"answer": [
"Firaxis Games"
],
"id": "wikisql-43245",
"question": "Who was the developer of XCom: Enemy Unknown in the Kotaku Game of the Year Awards 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": [
"PlayStation 3 , Xbox 360"
],
"style": "rule"
} | {
"answer": [
"PlayStation 3 , Xbox 360"
],
"id": "wikisql-43246",
"question": "Which Kotaku platform will win Red Dead Redemption: Game of the Year?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7:47.24"
],
"style": "rule"
} | {
"answer": [
"7:47.24"
],
"id": "wikisql-43267",
"question": "What was the record time in the men's 800m freestyle swimming among Universiade 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": [
"Offensive guard"
],
"style": "rule"
} | {
"answer": [
"Offensive guard"
],
"id": "wikisql-43284",
"question": "What position does a pick of 74 have in the 1965 American Football League tenth-round 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": [
"Denver Broncos"
],
"style": "rule"
} | {
"answer": [
"Denver Broncos"
],
"id": "wikisql-43285",
"question": "Which team will have the position of linebacker in the tenth round of the 1965 American Football League 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": [
"Kansas City Chiefs"
],
"style": "rule"
} | {
"answer": [
"Kansas City Chiefs"
],
"id": "wikisql-43286",
"question": "What is the team for Stanford College in the 1965 American Football League Draft tenth round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-43287",
"question": "What pick does College Southeastern Louisiana have under the tenth round in the 1965 American Football League 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": [
"1933-08-26"
],
"style": "rule"
} | {
"answer": [
"1933-08-26"
],
"id": "wikisql-43292",
"question": "What release date has a production number greater than 5888 and a director by Hugh Harman and Friz Freleng among the 1933 filmographies of Looney Tunes and Merrie Melodies (1929–39)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5584"
],
"style": "rule"
} | {
"answer": [
"5584"
],
"id": "wikisql-43293",
"question": "How many production numbers in Looney Tunes and Merrie Melodies (1929–39) filmography have a title of bosko in Dutch in 1933?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1933-09-09"
],
"style": "rule"
} | {
"answer": [
"1933-09-09"
],
"id": "wikisql-43294",
"question": "Which 1933 release date has a director by Tom Palmer and a production number greater than 5956 in the Looney Tunes and Merrie Melodies (1929–39) filmography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-43295",
"question": "From Fitzroy Football Club players list for 1960s how many goals have years at club from 1961 to 1966 and debut year greater than 1961?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1963.0"
],
"style": "rule"
} | {
"answer": [
"1963.0"
],
"id": "wikisql-43296",
"question": "Which debut year has goals of 0 and years at club of 1963 and games greater than 5 for Fitzroy Football Club players list in 1960s?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43297",
"question": "What debut year has a Bob Hayton player and plays less than 2 for the Fitzroy Football Club player roster in the 1960s?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Martin Davich"
],
"style": "rule"
} | {
"answer": [
"Martin Davich"
],
"id": "wikisql-43305",
"question": "Who was the 2005 nominee in the BMI Awards list of awards and nominations received by ER?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-43306",
"question": "What is the gp-gs if the receptions are more than 4, long 55 and avg/g 151 for the reception of the 2009 Kentucky Wildcats football team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gene McCaskill"
],
"style": "rule"
} | {
"answer": [
"Gene McCaskill"
],
"id": "wikisql-43307",
"question": "What is the name of the 2009 Kentucky Wildcats football team when avg/g among recipients is 13.7?",
"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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-43308",
"question": "How often is avg/g 2 for the 2009 Kentucky Wildcats Football Team Receiving ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43309",
"question": "From the 2009 Kentucky Wildcats soccer team, what is the average/g receiver John Conner if the length is less than 25 inches?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ind."
],
"style": "rule"
} | {
"answer": [
"Ind."
],
"id": "wikisql-43310",
"question": "At which conference did the Denver Broncos native among the notable undrafted players play in the 1964 American Football League 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": [
"W.K. Hicks Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"W.K. Hicks Category:Articles with hCards"
],
"id": "wikisql-43311",
"question": "Who was the Texas Southern player named among the most notable undrafted players in the 1964 American Football League 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": [
"Ind."
],
"style": "rule"
} | {
"answer": [
"Ind."
],
"id": "wikisql-43312",
"question": "Among the notable undrafted players of the 1964 American Football League Draft, in which conference did the player with the position rb play?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"CB"
],
"style": "rule"
} | {
"answer": [
"CB"
],
"id": "wikisql-43314",
"question": "What position did the Tennessee State athlete play among the notable undrafted players of the 1964 American Football League 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": [
"Lithuania"
],
"style": "rule"
} | {
"answer": [
"Lithuania"
],
"id": "wikisql-43325",
"question": "Which is the nation in the list of countries that have won more than 1 gold medal and a total of 62 medals in the Vilnius Marathon medal table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43326",
"question": "What is the highest total medal count for the Vilnius Marathon if there were 0 gold medals and 1 silver medal?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"91"
],
"style": "rule"
} | {
"answer": [
"91"
],
"id": "wikisql-43348",
"question": "What are the Texas Wildcatters' points if the goals conceded were 222 in the regular 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": [
"45"
],
"style": "rule"
} | {
"answer": [
"45"
],
"id": "wikisql-43349",
"question": "What are the points if the Texas Wildcatters regular season clean sheet was 260?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Involuntary Suspension of Season (Hurricane Rita)"
],
"style": "rule"
} | {
"answer": [
"Involuntary Suspension of Season (Hurricane Rita)"
],
"id": "wikisql-43350",
"question": "Among Texas Wildcatters, what are the games with an involuntary suspension of the season (Hurricane Rita) in the regular 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": [
"Involuntary Suspension of Season (Hurricane Rita)"
],
"style": "rule"
} | {
"answer": [
"Involuntary Suspension of Season (Hurricane Rita)"
],
"id": "wikisql-43351",
"question": "What are the goals for a loss to the involuntary disruption of the season (Hurricane Rita) for the Texas Wildcatters regular 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": [
"2007–08"
],
"style": "rule"
} | {
"answer": [
"2007–08"
],
"id": "wikisql-43352",
"question": "What is the season losing 9 with 72 games for the Texas Wildcatters regular 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": [
"Warriors"
],
"style": "rule"
} | {
"answer": [
"Warriors"
],
"id": "wikisql-43364",
"question": "Which mascot has a location in Evansville and an enrollment of more than 1,392 and a school in Evansville Harrison among the Indiana High School Athletics Conferences: Ohio River Valley - Western Indiana Southern Indiana Athletic Conference?",
... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"L 17–10"
],
"style": "rule"
} | {
"answer": [
"L 17–10"
],
"id": "wikisql-43371",
"question": "What is the outcome if the opponent for the 76' schedule of the 1976 Buffalo Bills season is with the Dallas Cowboys?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Linda Greene"
],
"style": "rule"
} | {
"answer": [
"Linda Greene"
],
"id": "wikisql-43374",
"question": "What's the Peaches: That was released in the US with 2 Hot as a track on the Peaches & Herb LP/CD chart?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Linda Greene"
],
"style": "rule"
} | {
"answer": [
"Linda Greene"
],
"id": "wikisql-43375",
"question": "Was ist Peaches: for Sayin' Something unter den Peaches & Herb LPs / CDs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"USA"
],
"style": "rule"
} | {
"answer": [
"USA"
],
"id": "wikisql-43376",
"question": "Where was the Peaches & Herb 1977 LP or CD title released?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1977"
],
"style": "rule"
} | {
"answer": [
"1977"
],
"id": "wikisql-43377",
"question": "What was the last year MCA had a Peaches & Herbs LP/CD release?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"152"
],
"style": "rule"
} | {
"answer": [
"152"
],
"id": "wikisql-43378",
"question": "What is the lowest pick for the Buffalo Bills in the nineteenth round of the 1965 American Football League 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": [
"Jim Nance Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Jim Nance Category:Articles with hCards"
],
"id": "wikisql-43379",
"question": "Which player played for the Boston Patriots in the nineteenth round of the 1965 American Football League 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": [
"1939-09-23"
],
"style": "rule"
} | {
"answer": [
"1939-09-23"
],
"id": "wikisql-43404",
"question": "When was 1939 land of midnight fun in the mm series released alongside the Looney Tunes and Merrie Melodies (1929–39) filmography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tex Avery"
],
"style": "rule"
} | {
"answer": [
"Tex Avery"
],
"id": "wikisql-43406",
"question": "Who Directed Hamateur Night Between Looney Tunes and Merrie Melodies 1939 Filmography (1929–39)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1939-10-07"
],
"style": "rule"
} | {
"answer": [
"1939-10-07"
],
"id": "wikisql-43407",
"question": "When was production number 9105 released in the Looney Tunes and Merrie Melodies (1929–1939) filmography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Defensive back"
],
"style": "rule"
} | {
"answer": [
"Defensive back"
],
"id": "wikisql-43423",
"question": "What is the Denver Broncos player's position in the ninth round of the 1965 American Football League 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": [
"69.0"
],
"style": "rule"
} | {
"answer": [
"69.0"
],
"id": "wikisql-43424",
"question": "What is the average Kansas City Chiefs pick in the 1965 American Football League ninth-round 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": [
"66"
],
"style": "rule"
} | {
"answer": [
"66"
],
"id": "wikisql-43425",
"question": "What is Wiley College's ninth-round pick in the 1965 American Football League Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-43439",
"question": "With a rank less than 4 and a time less than 24.42, what is the shortest swim lane at the 2008 Summer Olympics - Women's 50m Freestyle Semi-Final 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43440",
"question": "From the list of swimmers at the 2008 Summer Olympics - Women's 50m Freestyle, Semifinals 2, which swimmer from the United States with a lane less than 5 had an average time?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"China"
],
"style": "rule"
} | {
"answer": [
"China"
],
"id": "wikisql-43441",
"question": "What nationality is the swimmer who is under 2 on the track in swimming at the 2008 Summer Olympics - Women's 50m Freestyle Semifinals 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43442",
"question": "Which losses from the 2009 Wimmera Football League ladder list have ties less than 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43443",
"question": "What losses have in the Wimmera Football League 2009 Ladder ties greater than 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": [
"928"
],
"style": "rule"
} | {
"answer": [
"928"
],
"id": "wikisql-43444",
"question": "For the Wimmera Football League, how much against did losses less than 7 and a Wimmera FL from Horsham in the 2009 Ladder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-43445",
"question": "In the Wimmera Football League 2009 Ladder, how many ties have wins greater than 7 and a Wimmera FL by nhill and losses greater than 8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yuri Kadenatsy ( URS )"
],
"style": "rule"
} | {
"answer": [
"Yuri Kadenatsy ( URS )"
],
"id": "wikisql-43451",
"question": "Mixed Under 50m Disc, Who Won Silver at the 1982 World Championships, Men?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6:23.52"
],
"style": "rule"
} | {
"answer": [
"6:23.52"
],
"id": "wikisql-43452",
"question": "What is the time of the rowers in 1st place in rowing at the 2008 Summer Olympics - Men's Doubles Sculls Repechage?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6:24.01"
],
"style": "rule"
} | {
"answer": [
"6:24.01"
],
"id": "wikisql-43453",
"question": "What is the time of rowers from Belgium among the rowers at the 2008 Summer Olympics - Men's Doubles Sculls Repechage?",
"split": "train"
} |
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