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": [
"September 8, 1991"
],
"style": "rule"
} | {
"answer": [
"September 8, 1991"
],
"id": "wikisql-58764",
"question": "When was the W 20-19 for the Minnesota Vikings 1991 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": [
"35737"
],
"style": "rule"
} | {
"answer": [
"35737"
],
"id": "wikisql-58765",
"question": "What was the crowd size at the 1991 Minnesota Vikings season game 28-13?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"818962"
],
"style": "rule"
} | {
"answer": [
"818962"
],
"id": "wikisql-58766",
"question": "Tell me the turnout for the Muttahida Qaumi movement in the 1985 general election.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-58767",
"question": "How many victories did England win in total at the 1979 IAAF World Cross Country Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-58768",
"question": "The Soviet Union has won more than 2 silver medals, but how many bronze medals did the 1979 IAAF World Cross Country Championships win?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-58771",
"question": "I want average for evening gown of 7.52 and swimsuit greater than 7.78 for Miss USA 1995?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58772",
"question": "Tell me the lowest interview for Miss USA 1995 for Oklahoma and swimsuit under 8.8?",
"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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-58773",
"question": "Tell me the sum of evening dress for average of 9.06 and swimsuit less than 8.76 for Miss USA 1995?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58774",
"question": "Tell me the highest interview for North Carolina and more than 7.68 for Miss USA 1995?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58775",
"question": "Which NCAA Indiana Hoosiers men's basketball tournament appearances have conference titles greater than 0, NCAA titles of 0, and were coached by Lou Watson?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3.0"
],
"style": "rule"
} | {
"answer": [
"3.0"
],
"id": "wikisql-58780",
"question": "The average number of rounds in the fight against Clay Guida for Nate Diaz, what is the ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Fairfax, Virginia , United States"
],
"style": "rule"
} | {
"answer": [
"Fairfax, Virginia , United States"
],
"id": "wikisql-58781",
"question": "Where was the Nate Diaz Gray Maynard fight?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Win"
],
"style": "rule"
} | {
"answer": [
"Win"
],
"id": "wikisql-58782",
"question": "What was the result of the 4:27 fight between Nate Diaz and Gray Maynard?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5–2"
],
"style": "rule"
} | {
"answer": [
"5–2"
],
"id": "wikisql-58783",
"question": "What was the record for WEC 24 for Nate Diaz?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Win"
],
"style": "rule"
} | {
"answer": [
"Win"
],
"id": "wikisql-58784",
"question": "What was Nate Diaz's result when there were less than 3 rounds against Gil Rael?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58790",
"question": "Tell me home of skeid football from 2-3?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"€491,455"
],
"style": "rule"
} | {
"answer": [
"€491,455"
],
"id": "wikisql-58791",
"question": "How much turnover did the country make with 282 Spar branches?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58792",
"question": "What is the smallest sales area (m²) with 4,094 €/m² and more than 2 branches at Spar (retailer) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1999"
],
"style": "rule"
} | {
"answer": [
"1999"
],
"id": "wikisql-58793",
"question": "From the list of American football stadiums by capacity, tell me the total number of closures for the city of Pittsburgh and a capacity greater than 59,000?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2004"
],
"style": "rule"
} | {
"answer": [
"2004"
],
"id": "wikisql-58794",
"question": "Among the list of American football stadiums by capacity, tell me the lowest closed capacity of 62,439?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Asuncion"
],
"style": "rule"
} | {
"answer": [
"Asuncion"
],
"id": "wikisql-58795",
"question": "Tell me the tournament for the result of the winner and the result of 4-6 6-3 10-5 under María Fernanda Álvarez Terán ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chanel Simmonds"
],
"style": "rule"
} | {
"answer": [
"Chanel Simmonds"
],
"id": "wikisql-58796",
"question": "Anamika Bhargava Sylvia Krywacz - Will You Be There?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Angelina Gabueva"
],
"style": "rule"
} | {
"answer": [
"Angelina Gabueva"
],
"id": "wikisql-58797",
"question": "Tell me the partner for the winner's score and the score of 7-6 (7) 5-7 10-7 for María Fernanda Álvarez Terán ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Elena Bogdan Raluca Olaru"
],
"style": "rule"
} | {
"answer": [
"Elena Bogdan Raluca Olaru"
],
"id": "wikisql-58798",
"question": "Tell me the opponents for the score of 6-1 2-6 7-10 for María Fernanda Álvarez Terán ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58802",
"question": "What is the smallest total for a rank below 4, 0 silver medals and 2 gold medals for open water swimming at the 2007 World Aquatics Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-58803",
"question": "On average, how many gold medals did Italy earn when they placed 4th in open water swimming at the 2007 World Aquatics Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2003–04"
],
"style": "rule"
} | {
"answer": [
"2003–04"
],
"id": "wikisql-58813",
"question": "Tell me the season for the 4th Glasgow Rocks quarter final position in the Scotland Football League roster in the 2010–11 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-58817",
"question": "Which country is ranked 2nd and has less than 5 total wheelchair fencing medals at the 2004 Summer Paralympics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11:00am"
],
"style": "rule"
} | {
"answer": [
"11:00am"
],
"id": "wikisql-58818",
"question": "In the Denver Broncos 2007 season, what is the (MT) time Kansas City Chiefs as an opponent on November 11th?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58827",
"question": "Which episode of Fast Cars and Superstars: The Gillette Young Guns Celebrity Race with a 0.7/3 demo was the lowest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"June 10, 2007"
],
"style": "rule"
} | {
"answer": [
"June 10, 2007"
],
"id": "wikisql-58828",
"question": "When is the air date of Fast Cars and Superstars: The Gillette Young Guns Celebrity Race screened at 1.6/5?",
"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": [
"Episode 102"
],
"style": "rule"
} | {
"answer": [
"Episode 102"
],
"id": "wikisql-58829",
"question": "For fast cars and superstars: The Gillette Young Guns Celebrity Race, for the demo 1.6/5, what's the title?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sugo"
],
"style": "rule"
} | {
"answer": [
"Sugo"
],
"id": "wikisql-58832",
"question": "On which track did Takashi Kogure hold pole position in the 2005 Formula Nippon 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": [
"Takashi Kogure"
],
"style": "rule"
} | {
"answer": [
"Takashi Kogure"
],
"id": "wikisql-58833",
"question": "Who held pole position under Arting Team Impul in Round 3 of the 2005 Formula Nippon 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": [
"Richard Lyons"
],
"style": "rule"
} | {
"answer": [
"Richard Lyons"
],
"id": "wikisql-58834",
"question": "Who was the winner when Katsuyuki Hiranaka set the fastest lap in the 2005 Formula Nippon 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": [
"arting Team Impul"
],
"style": "rule"
} | {
"answer": [
"arting Team Impul"
],
"id": "wikisql-58835",
"question": "Who was the team going into Round 9 in the 2005 Formula Nippon season when Takashi Kogure held pole 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": [
"No",
"Unknown",
"No",
"Yes",
"Unknown",
"Yes",
"No"
],
"style": "rule"
} | {
"answer": [
"No",
"Unknown",
"No",
"Yes",
"Unknown",
"Yes",
"No"
],
"id": "wikisql-58836",
"question": "Tell me yes's MPEG-2 and yes's MPEG-1 to compare the PVR software packages. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yes",
"Yes",
"Yes"
],
"style": "rule"
} | {
"answer": [
"Yes",
"Yes",
"Yes"
],
"id": "wikisql-58837",
"question": "Tell me the MPEG-1 for real video of no comparison of PVR software packages ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Black Sea"
],
"style": "rule"
} | {
"answer": [
"Black Sea"
],
"id": "wikisql-58843",
"question": "Which fleet is associated with the number L4 among the Leninets-class submarines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"L1"
],
"style": "rule"
} | {
"answer": [
"L1"
],
"id": "wikisql-58844",
"question": "What number is connected to the Baltic Fleet and Leninets (LENинец) in the Leninets-class submarine?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"31 August 1931"
],
"style": "rule"
} | {
"answer": [
"31 August 1931"
],
"id": "wikisql-58845",
"question": "When was Garibaldets (гарибальдиец) launched in a Leninets-class submarine?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 November 1932"
],
"style": "rule"
} | {
"answer": [
"3 November 1932"
],
"id": "wikisql-58846",
"question": "When was the number 16 launched with a Black Sea fleet under the Leninets-class submarine?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"L5"
],
"style": "rule"
} | {
"answer": [
"L5"
],
"id": "wikisql-58847",
"question": "What number is associated with the name Chartist (чартист) among the Leninets-class submarines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Penske Racing"
],
"style": "rule"
} | {
"answer": [
"Penske Racing"
],
"id": "wikisql-58865",
"question": "Which is the winning team of the 1981 IndyCar season with Rick Mears' and Kraco Twin 125 (R1)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kraco Twin 125 (R1)",
"Kraco Twin 125 (R2)",
"Los Angeles Times 500",
"Detroit News Grand Prix",
"Watkins Glen 200",
"II Copa Mexico 150"
],
"style": "rule"
} | {
"answer": [
"Kraco Twin 125 (R1)",
"Kraco Twin 125 (R2)",
"Los Angeles Times 500",
"Detroit News Grand Prix",
"Watkins Glen 200",
"II Copa Mexico 150"
],
"id": "wikisql-58866",
"question": "What is the name of Penske Racing's 1981 IndyCar 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": [
"Rick Mears",
"Rick Mears"
],
"style": "rule"
} | {
"answer": [
"Rick Mears",
"Rick Mears"
],
"id": "wikisql-58867",
"question": "Who is the winning Penske Racing driver and what was Rick Mears' pole position for the 1981 IndyCar 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": [
"Rick Mears"
],
"style": "rule"
} | {
"answer": [
"Rick Mears"
],
"id": "wikisql-58868",
"question": "Who was the winning Kraco Twin 125 (R2) driver in the 1981 IndyCar 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": [
"Report",
"Report"
],
"style": "rule"
} | {
"answer": [
"Report",
"Report"
],
"id": "wikisql-58869",
"question": "What is the record of winning team Penske Racing for the 1981 IndyCar season and what was Rick Mears' pole 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": [
"Bobby Unser"
],
"style": "rule"
} | {
"answer": [
"Bobby Unser"
],
"id": "wikisql-58870",
"question": "What is the pole position for the winning team Penske Racing and the name of the 2nd Copa Mexico 150 for the 1981 IndyCar 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": [
"12"
],
"style": "rule"
} | {
"answer": [
"12"
],
"id": "wikisql-58875",
"question": "How much rice is in commercial sorghum if the amount of potatoes is 79?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.31"
],
"style": "rule"
} | {
"answer": [
"0.31"
],
"id": "wikisql-58877",
"question": "What is the amount of yam if the amount of cassava is 0.11 for commercial sorghum?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.9"
],
"style": "rule"
} | {
"answer": [
"1.9"
],
"id": "wikisql-58878",
"question": "How high is the amount of wheat in the potato amount of 1.9 under commercial millet?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.56"
],
"style": "rule"
} | {
"answer": [
"0.56"
],
"id": "wikisql-58879",
"question": "What is the amount of sweet potatoes if the amount of soybeans in commercial sorghum is 1.65?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58880",
"question": "What is the amount of yam if the amount of maze/corn in commercial sorghum is 1355?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Prince Edward Island"
],
"style": "rule"
} | {
"answer": [
"Prince Edward Island"
],
"id": "wikisql-58881",
"question": "Which province and flag has a water area (km 2) less than 176,928 has a total water area percentage of 0.0% in the list of Canadian provinces and territories by 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": [
"Prince Edward Island"
],
"style": "rule"
} | {
"answer": [
"Prince Edward Island"
],
"id": "wikisql-58882",
"question": "Among the list of Canadian provinces and territories by area, which province and flag has a water area (km 2) of 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": [
"October 24, 1993"
],
"style": "rule"
} | {
"answer": [
"October 24, 1993"
],
"id": "wikisql-58888",
"question": "When did the Browns play the Pittsburgh Steelers in the 1993 Cleveland Browns 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-58893",
"question": "Sega Master System games list, what is the maximum number of players for the Sega game, hang-on (cartridge version)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Honda"
],
"style": "rule"
} | {
"answer": [
"Honda"
],
"id": "wikisql-58912",
"question": "What engine did Casey Mears use on the Reynard 01i chassis in the 2001 CART 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": [
"Lola B1/00"
],
"style": "rule"
} | {
"answer": [
"Lola B1/00"
],
"id": "wikisql-58913",
"question": "What chassis did Memo Gidley use in the 2001 CART 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": [
"Team Penske",
"Team Penske",
"Team Green",
"Team Green",
"Team Motorola",
"Fernández Racing",
"Fernández Racing",
"Mo Nunn Racing"
],
"style": "rule"
} | {
"answer": [
"Team Penske",
"Team Penske",
"Team Green",
"Team Green",
"Team Motorola",
"Fernández Racing",
"Fernández Racing",
"Mo Nunn Racing"
],
"id": "wikisql-58914",
"question": "Who used the Honda engine for all races in the 2001 CART 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": [
"Shallow water terdiurnal"
],
"style": "rule"
} | {
"answer": [
"Shallow water terdiurnal"
],
"id": "wikisql-58928",
"question": "Which higher harmonics have a NOAA of 8 for tidal theory?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"58.9841042"
],
"style": "rule"
} | {
"answer": [
"58.9841042"
],
"id": "wikisql-58929",
"question": "What is the velocity of the higher harmonics that have a NOAA of 37 for tidal theory?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-58930",
"question": "What is the NOAA of the higher harmonics that have a darwin of mn 4 in tidal theory?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"23"
],
"style": "rule"
} | {
"answer": [
"23"
],
"id": "wikisql-58931",
"question": "What is the NOAA of the higher harmonics that have a darwin of m sf under the theory of tides?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Solar semiannual"
],
"style": "rule"
} | {
"answer": [
"Solar semiannual"
],
"id": "wikisql-58932",
"question": "What higher harmonics in tidal theory have a velocity of 0.0821373?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jeff Monson"
],
"style": "rule"
} | {
"answer": [
"Jeff Monson"
],
"id": "wikisql-58945",
"question": "Who has a round of 3 with a method of decision under Devin Cole?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14 m : 51 s"
],
"style": "rule"
} | {
"answer": [
"14 m : 51 s"
],
"id": "wikisql-58946",
"question": "What was the finish time of stage SS6 of the 1973 Monte Carlo Rally?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cancelled"
],
"style": "rule"
} | {
"answer": [
"Cancelled"
],
"id": "wikisql-58947",
"question": "What was the finish time of the stage with a distance of 18.25 km and a start time of 11:31 for the 1973 Monte Carlo Rally?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"71.13km/h"
],
"style": "rule"
} | {
"answer": [
"71.13km/h"
],
"id": "wikisql-58948",
"question": "At the 1973 Monte Carlo Rally, what was the average speed over 18.00 km for the winner Jean-Claude Andruet?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18 m : 40 s"
],
"style": "rule"
} | {
"answer": [
"18 m : 40 s"
],
"id": "wikisql-58949",
"question": "What was the finish time of the stage in the 1973 Monte Carlo Rally with a distance of 24.00km and a start time of 21:27?",
"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": [
"Brás ↔ Rio Grande da Serra"
],
"style": "rule"
} | {
"answer": [
"Brás ↔ Rio Grande da Serra"
],
"id": "wikisql-58977",
"question": "Which terminus is on line 10 for Companhia Paulista de Trens Metropolitanos?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Júlio Prestes ↔ Amador Bueno"
],
"style": "rule"
} | {
"answer": [
"Júlio Prestes ↔ Amador Bueno"
],
"id": "wikisql-58978",
"question": "Which terminus of the Companhia Paulista de Trens Metropolitanos is the colored diamond assigned to?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"kilometres (mi)"
],
"style": "rule"
} | {
"answer": [
"kilometres (mi)"
],
"id": "wikisql-58979",
"question": "What is the length of the Companhia Paulista de Trens Metropolitanos the stations of 16?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Brás ↔ Calmon Viana"
],
"style": "rule"
} | {
"answer": [
"Brás ↔ Calmon Viana"
],
"id": "wikisql-58980",
"question": "Which terminus of the Companhia Paulista de Trens Metropolitanos is associated with the color sapphire?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"kilometres (mi)"
],
"style": "rule"
} | {
"answer": [
"kilometres (mi)"
],
"id": "wikisql-58981",
"question": "What is the length of the daily driver count of more than 414 for Companhia Paulista de Trens Metropolitanos associated?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"World Indoor Championships"
],
"style": "rule"
} | {
"answer": [
"World Indoor Championships"
],
"id": "wikisql-58985",
"question": "In which competition did Ionela Târlea come 4th in 2003 in Budapest, Hungary?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"IAAF World Cup"
],
"style": "rule"
} | {
"answer": [
"IAAF World Cup"
],
"id": "wikisql-58986",
"question": "What is the event like in Ionela Târlea before 2004, the name of the competition that was held in Johannesburg, South Africa and had the 400m hurdles event?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"400 m"
],
"style": "rule"
} | {
"answer": [
"400 m"
],
"id": "wikisql-58987",
"question": "What events did the competition held in 1997 have under Ionela Târlea?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1996"
],
"style": "rule"
} | {
"answer": [
"1996"
],
"id": "wikisql-58988",
"question": "What was the earliest year that Ionela Târlea finished 7th?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2nd"
],
"style": "rule"
} | {
"answer": [
"2nd"
],
"id": "wikisql-58989",
"question": "What place did Ionela Târlea take at the European Indoor Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Budapest, Hungary",
"Munich, Germany"
],
"style": "rule"
} | {
"answer": [
"Budapest, Hungary",
"Munich, Germany"
],
"id": "wikisql-58990",
"question": "Who is Ionela Târlea and where did the European Championships 400m hurdles take place?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-58996",
"question": "From Don Rosa Disney comics list, how many pages does the 1987-08 story have?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-58997",
"question": "From Don Rosa Disney comics list, how many pages does the story h 87112 have?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"D 2002-033"
],
"style": "rule"
} | {
"answer": [
"D 2002-033"
],
"id": "wikisql-58998",
"question": "What is the story code for the story published under the Don Rosa Disney comics in 2002-12?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dave Kennedy"
],
"style": "rule"
} | {
"answer": [
"Dave Kennedy"
],
"id": "wikisql-58999",
"question": "Which driver drove the Wolf WR3 car in the 1978 British Formula One 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": [
"Tony Trimmer"
],
"style": "rule"
} | {
"answer": [
"Tony Trimmer"
],
"id": "wikisql-59000",
"question": "Which driver from the 1978 British Formula One season drove the McLaren M23 at the Snetterton Circuit?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"McLaren M23"
],
"style": "rule"
} | {
"answer": [
"McLaren M23"
],
"id": "wikisql-59001",
"question": "What car did Tony Trimmer drive at Oulton Park Circuit in the 1978 British Formula One 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": [
"March 24"
],
"style": "rule"
} | {
"answer": [
"March 24"
],
"id": "wikisql-59002",
"question": "What date was the International Gold Cup held in the 1978 British Formula 1 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": [
"None."
],
"style": "rule"
} | {
"answer": [
"None."
],
"id": "wikisql-59003",
"question": "What is the theme for a series of Big Brother Germany season 3 with less than 148 days?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ronald Jhun"
],
"style": "rule"
} | {
"answer": [
"Ronald Jhun"
],
"id": "wikisql-59010",
"question": "Who has a record of 5-2 for Ryan Schultz?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Quetta , Pakistan"
],
"style": "rule"
} | {
"answer": [
"Quetta , Pakistan"
],
"id": "wikisql-59032",
"question": "At what location did a match between Muhammad Essa take place on August 16, 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": [
"2006 AFC Challenge Cup"
],
"style": "rule"
} | {
"answer": [
"2006 AFC Challenge Cup"
],
"id": "wikisql-59033",
"question": "What game was played in Muhammad Essa on April 2, 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": [
"Yamaha"
],
"style": "rule"
} | {
"answer": [
"Yamaha"
],
"id": "wikisql-59034",
"question": "Who is the Constructor for Round 5 of the 2005 Superbike World Championship 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": [
"4, 11",
"6"
],
"style": "rule"
} | {
"answer": [
"4, 11",
"6"
],
"id": "wikisql-59035",
"question": "What round of the 2005 Superbike World Championship season does the mv agusta f4 1000 mt have?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yamaha Motor France-Ipone",
"Yamaha Motor France-Ipone",
"Yamaha Motor France-Ipone",
"D.F.X. Treme",
"D.F.X. Treme",
"D.F.X. Treme",
"D.F.X. Treme",
"DFXtreme Sterilgarda",
"DFXtreme Sterilgarda",
"DFXtreme Sterilgarda",
"DFXtreme Sterilgarda",
"Zo... | {
"answer": [
"Yamaha Motor France-Ipone",
"Yamaha Motor France-Ipone",
"Yamaha Motor France-Ipone",
"D.F.X. Treme",
"D.F.X. Treme",
"D.F.X. Treme",
"D.F.X. Treme",
"DFXtreme Sterilgarda",
"DFXtreme Sterilgarda",
"DFXtreme Sterilgarda",
"DFXtreme Sterilgarda",
"Zone Rou... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jiří Trčka"
],
"style": "rule"
} | {
"answer": [
"Jiří Trčka"
],
"id": "wikisql-59037",
"question": "Who will ride the Ducati 999 RS in Round 7 of the 2005 Superbike World Championship 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": [
"Suzuki"
],
"style": "rule"
} | {
"answer": [
"Suzuki"
],
"id": "wikisql-59038",
"question": "Who is the constructor for the Trac Racing Team in the 2005 Superbike World Championship season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikisql-59048",
"question": "In Ronan O'Gara, what are the fewest casualties for a player under 3, with wins under 75%, 0 draws and 56 points?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-59049",
"question": "How many tries does the player whose count is greater than 2 and whose losses are less than 0 have for Ronan O'Gara?",
"split": "train"
} |
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