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": [
"1:24.43"
],
"style": "rule"
} | {
"answer": [
"1:24.43"
],
"id": "wikisql-64145",
"question": "What is Bobsleigh at the 1952 Winter Olympics - Two-man Bobsleigh 1 when the athletes are \"Theo Kitt & Friedrich Kuhn\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Warner Bros. Pictures"
],
"style": "rule"
} | {
"answer": [
"Warner Bros. Pictures"
],
"id": "wikisql-64167",
"question": "Studio of the film with a gross rent of $7,500,000 for 1958 in the film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"ZYJM"
],
"style": "rule"
} | {
"answer": [
"ZYJM"
],
"id": "wikisql-64188",
"question": "Which ICAO has Heilongjiang Province and IATA of jmu under Air China destinations?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"—"
],
"style": "rule"
} | {
"answer": [
"—"
],
"id": "wikisql-64189",
"question": "Which province among Air China destinations has an ICAO of vmmc?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"—"
],
"style": "rule"
} | {
"answer": [
"—"
],
"id": "wikisql-64190",
"question": "Which province has a city of Hiroshima among Air China destinations?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Xinjiang"
],
"style": "rule"
} | {
"answer": [
"Xinjiang"
],
"id": "wikisql-64191",
"question": "Which province among Air China destinations has an IATA of aku?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"BUD"
],
"style": "rule"
} | {
"answer": [
"BUD"
],
"id": "wikisql-64192",
"question": "For Air China destinations, do you name the IATA with a city like Budapest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Inner Mongolia"
],
"style": "rule"
} | {
"answer": [
"Inner Mongolia"
],
"id": "wikisql-64193",
"question": "Name provincial Air China destinations with ICAO by zbcf?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64199",
"question": "From the 1978 Buffalo Bills season, Richard Crump picked after the 114 pick was drafted in which 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": [
"René Arnoux"
],
"style": "rule"
} | {
"answer": [
"René Arnoux"
],
"id": "wikisql-64200",
"question": "Who has a grid of less than 24, less than 61 laps and a Ferrari constructor in the 1985 Brazilian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Philippe Alliot"
],
"style": "rule"
} | {
"answer": [
"Philippe Alliot"
],
"id": "wikisql-64201",
"question": "What is the driver in the 1985 Brazilian Grand Prix who has 58 laps and a starting grid of less than 21?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1994"
],
"style": "rule"
} | {
"answer": [
"1994"
],
"id": "wikisql-64202",
"question": "What year did J. Jones, Trearddur Bay build a boat with a current status of tbsc under Seabird Half Rater?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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.H Rowland & Co., Bangor"
],
"style": "rule"
} | {
"answer": [
"W.H Rowland & Co., Bangor"
],
"id": "wikisql-64203",
"question": "What is the boat builder for a boat built in 1910-11 and numbered 39 in Seabird Half Rater?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"J. Jones, Trearddur Bay"
],
"style": "rule"
} | {
"answer": [
"J. Jones, Trearddur Bay"
],
"id": "wikisql-64204",
"question": "What is the boat builder for a boat built in 1994 and size greater than 93 under Seabird Half Rater?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1898/9"
],
"style": "rule"
} | {
"answer": [
"1898/9"
],
"id": "wikisql-64205",
"question": "What year was the Cormorant in Seabird Half Rater built?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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.H Rowland & Co., Bangor"
],
"style": "rule"
} | {
"answer": [
"W.H Rowland & Co., Bangor"
],
"id": "wikisql-64206",
"question": "Which boat builder under Seabird Half Rater built the Valmai with a number less than 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": [
"Telemundo",
"MundoFOX"
],
"style": "rule"
} | {
"answer": [
"Telemundo",
"MundoFOX"
],
"id": "wikisql-64223",
"question": "Which TV network in LATV, a Spanish commercial network with more than 53,674,000 households viewed and a place under 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": [
"The Meadowlands"
],
"style": "rule"
} | {
"answer": [
"The Meadowlands"
],
"id": "wikisql-64224",
"question": "Which side of the game has an opponent from the 1992 New York Jets season at Buffalo Bills?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"at Indianapolis Colts"
],
"style": "rule"
} | {
"answer": [
"at Indianapolis Colts"
],
"id": "wikisql-64225",
"question": "Which opponent of the 1992 New York Jets season has a score of l 6-3?",
"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": [
"The Meadowlands"
],
"style": "rule"
} | {
"answer": [
"The Meadowlands"
],
"id": "wikisql-64226",
"question": "In the 1992 New York Jets season, which side has a week greater than 13 and a score of 20-0?",
"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": [
"1992-10-11"
],
"style": "rule"
} | {
"answer": [
"1992-10-11"
],
"id": "wikisql-64227",
"question": "Which date of the 1992 New York Jets season has a week of 6?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-64229",
"question": "What is the highest number of losses if a team scored more than 45 goals and conceded 32 goals in the 1901 CAHL 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": [
"24"
],
"style": "rule"
} | {
"answer": [
"24"
],
"id": "wikisql-64234",
"question": "For ranks above 2 with gold above 6 and silver above 5 for the 1994 Winter Olympics, what would be the lowest qualifying total?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lost Semifinal"
],
"style": "rule"
} | {
"answer": [
"Lost Semifinal"
],
"id": "wikisql-64235",
"question": "What are the 2004–05 playoffs for St. Louis Steamers (1998–2006)?",
"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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-64257",
"question": "How many runners-up does the team that won the 1993 Cup Winners' Cup finals list 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": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-64258",
"question": "How many runners-up for the team with less than 1 win and a runners-up in 1985, 1996 Cup Winners' Cup finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"24"
],
"style": "rule"
} | {
"answer": [
"24"
],
"id": "wikisql-64281",
"question": "Regarding the 1956 Argentine Grand Prix, what are the highest laps for time/failure of engine and grid of 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-64282",
"question": "Name the highest laps for Maserati and +6 laps for grid more than 11, 1956, Argentine Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"+24.4 secs"
],
"style": "rule"
} | {
"answer": [
"+24.4 secs"
],
"id": "wikisql-64283",
"question": "Tell me the time/retirement for Grid 4 for the 1956 Argentine Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Roger Bart"
],
"style": "rule"
} | {
"answer": [
"Roger Bart"
],
"id": "wikisql-64287",
"question": "Which Original Broadway Production Has Roger Bart's First US National Tour Under Young Frankenstein (Musical)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dr. Frederick Frankenstein"
],
"style": "rule"
} | {
"answer": [
"Dr. Frederick Frankenstein"
],
"id": "wikisql-64289",
"question": "What role of Young Frankenstein (musical) does Roger Bart play on the First US National Tour?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Altea Russo"
],
"style": "rule"
} | {
"answer": [
"Altea Russo"
],
"id": "wikisql-64290",
"question": "Which original Italian production has a first US national tour by Joanna Glushak under Young Frankenstein (musical)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Stuart Millar"
],
"style": "rule"
} | {
"answer": [
"Stuart Millar"
],
"id": "wikisql-64293",
"question": "Under the Katharine Hepburn film and theater credits, who directed Eula Goodnight after 1949?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lady Cynthia Darrington"
],
"style": "rule"
} | {
"answer": [
"Lady Cynthia Darrington"
],
"id": "wikisql-64294",
"question": "What role in Katharine Hepburn's film and theater credits does she play before 1942 directed by Dorothy Arzner?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Agnes"
],
"style": "rule"
} | {
"answer": [
"Agnes"
],
"id": "wikisql-64295",
"question": "Considering Katharine Hepburn's film and theater credits, what role is she playing in 1973?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 7, 1986"
],
"style": "rule"
} | {
"answer": [
"June 7, 1986"
],
"id": "wikisql-64296",
"question": "What is the date of the 1986 FIFA World Cup in Luis Flores (footballers)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19 January 2002"
],
"style": "rule"
} | {
"answer": [
"19 January 2002"
],
"id": "wikisql-64305",
"question": "Which day is Miami the venue with 38 goals under Rolando Fonseca?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 CONCACAF Gold Cup"
],
"style": "rule"
} | {
"answer": [
"2003 CONCACAF Gold Cup"
],
"id": "wikisql-64306",
"question": "Which competition has 41 goals under Rolando Fonseca?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19 July 2001"
],
"style": "rule"
} | {
"answer": [
"19 July 2001"
],
"id": "wikisql-64307",
"question": "On which day did Rolando Fonseca score 34 goals in 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": [
"Denny Hulme"
],
"style": "rule"
} | {
"answer": [
"Denny Hulme"
],
"id": "wikisql-64308",
"question": "Which driver in the 1968 Dutch Grand Prix had less than 22 laps and one ignition time/failure?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"85"
],
"style": "rule"
} | {
"answer": [
"85"
],
"id": "wikisql-64309",
"question": "What is the highest lap count for Chris Amon during the 1968 Dutch Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64320",
"question": "From the Gaelic Athletic Association list of stadiums, what is the ranking of the Gaelic Football Stadium at McHale Park in terms of total capacity?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Aalborg Stadium , Aalborg"
],
"style": "rule"
} | {
"answer": [
"Aalborg Stadium , Aalborg"
],
"id": "wikisql-64338",
"question": "What was the Northern Ireland national under-21 football team venue for the 10/09/2012 match?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Friendly"
],
"style": "rule"
} | {
"answer": [
"Friendly"
],
"id": "wikisql-64339",
"question": "Which competition was held on 13/11/2012 for the Northern Ireland national under-21 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": [
"Hungary"
],
"style": "rule"
} | {
"answer": [
"Hungary"
],
"id": "wikisql-64340",
"question": "Which opponent plays for the Northern Ireland national under-21 football team that played on 15-08-2012?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0-1"
],
"style": "rule"
} | {
"answer": [
"0-1"
],
"id": "wikisql-64341",
"question": "What is the result of the Northern Ireland national under-21 football team where they play on 10/05/2012?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Macedonia"
],
"style": "rule"
} | {
"answer": [
"Macedonia"
],
"id": "wikisql-64342",
"question": "Which opponent of the Northern Ireland national under-21 football team played on 07-09-2012 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tatabanya"
],
"style": "rule"
} | {
"answer": [
"Tatabanya"
],
"id": "wikisql-64343",
"question": "Where was the Northern Ireland national under-21 football team friendly that ended 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": [
"+ 10 Laps"
],
"style": "rule"
} | {
"answer": [
"+ 10 Laps"
],
"id": "wikisql-64371",
"question": "For the 1960 Argentine Grand Prix, tell me the time/retirement for laps greater than 63 and has a starting grid of 20?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64372",
"question": "For the 1960 Argentine Grand Prix, I want the sum of laps for Wolfgang von rides and a grid greater than 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": [
"Switzerland"
],
"style": "rule"
} | {
"answer": [
"Switzerland"
],
"id": "wikisql-64380",
"question": "In which country/territory did Jason Keatly win Mr. Gay International at the Mr. Gay international competition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"72"
],
"style": "rule"
} | {
"answer": [
"72"
],
"id": "wikisql-64387",
"question": "Tell me the laps for the time/retired at +8 laps for the 1951 Italian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64388",
"question": "Tell me the sum of laps with a time/retirement of +13 laps with a grid higher than 18 for the 1951 Italian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"29"
],
"style": "rule"
} | {
"answer": [
"29"
],
"id": "wikisql-64389",
"question": "I want the lowest laps in the 1951 Italian Grand Prix with a field of 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": [
"9"
],
"style": "rule"
} | {
"answer": [
"9"
],
"id": "wikisql-64390",
"question": "Tell me the total of the starting grid with Alfa Romeo and Toulo de Graffenried from the 1951 Italian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64400",
"question": "How many points for the vehicle with a pre 2003 mp4-17d chassis in the McLaren MP4-17?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-64401",
"question": "What is the earliest year with a mp4-17d chassis and score less than 142 for McLaren MP4-17?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ferrari"
],
"style": "rule"
} | {
"answer": [
"Ferrari"
],
"id": "wikisql-64429",
"question": "Who designed Stefan Johansson's car for the under-14 grid at the 1985 European Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Toleman - Hart"
],
"style": "rule"
} | {
"answer": [
"Toleman - Hart"
],
"id": "wikisql-64430",
"question": "Who designed Piercarlo Ghinzani's car with less than 44 laps for the 1985 European Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"102"
],
"style": "rule"
} | {
"answer": [
"102"
],
"id": "wikisql-64431",
"question": "Considering the Bee Line bus system, on buses numbered 401-484, what is the lowest width that can be longer than 25 feet?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64432",
"question": "Regarding the Bee Line bus system, what was the overall width for a vehicle under 25ft that was retired in 2005 and had a Navistar t444e engine?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"59"
],
"style": "rule"
} | {
"answer": [
"59"
],
"id": "wikisql-64490",
"question": "How many laps did Yannick Dalmas do in the 1987 Mexican Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"63"
],
"style": "rule"
} | {
"answer": [
"63"
],
"id": "wikisql-64491",
"question": "How many laps did Eddie Cheever complete at the 1987 Mexican Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Minardi - Motori Moderni"
],
"style": "rule"
} | {
"answer": [
"Minardi - Motori Moderni"
],
"id": "wikisql-64492",
"question": "What is the name of the constructor with a 19 grid at the 1987 Mexican Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Detroit Tigers – 3, San Diego Padres – 5"
],
"style": "rule"
} | {
"answer": [
"Detroit Tigers – 3, San Diego Padres – 5"
],
"id": "wikisql-64507",
"question": "What was the result for the team with a time of 2:44 from the 1984 World 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": [
"Les hauts et les bas de Sophie Paquin"
],
"style": "rule"
} | {
"answer": [
"Les hauts et les bas de Sophie Paquin"
],
"id": "wikisql-64508",
"question": "Under List of programs broadcast by Ici Radio-Canada Télé, 9:30 p.m. if 8:00 p.m. is l'auberge du chien noir?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Le Téléjournal"
],
"style": "rule"
} | {
"answer": [
"Le Téléjournal"
],
"id": "wikisql-64509",
"question": "What is shown for 10:00 p.m. if 8:00 p.m. is tout le monde en parle in the list of programs broadcast by Ici Radio-Canada Télé?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Specials"
],
"style": "rule"
} | {
"answer": [
"Specials"
],
"id": "wikisql-64510",
"question": "If 9:30 p.m. is shown as Specials in the list of programs broadcast by Ici Radio-Canada Télé, what is shown for 9:00 p.m.?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Virginie"
],
"style": "rule"
} | {
"answer": [
"Virginie"
],
"id": "wikisql-64511",
"question": "From the list of programs broadcast by Ici Radio-Canada Télé, what is shown at 7:00 p.m. if 8:00 p.m. is les parent?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Découverte"
],
"style": "rule"
} | {
"answer": [
"Découverte"
],
"id": "wikisql-64512",
"question": "From the list of programs broadcast by Ici Radio-Canada Télé for 7:00 p.m., what is shown when 8:30 p.m. is tout le monde en parle?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64513",
"question": "What is the earliest year for Huff Hall established after 1974 in Champaign, Illinois to open?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64514",
"question": "What is the smallest number of Big Ten conference titles for teams with a capacity of 60,670 and over 5 national titles in Champaign, Illinois?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Steve Beever"
],
"style": "rule"
} | {
"answer": [
"Steve Beever"
],
"id": "wikisql-64537",
"question": "Who is the head coach of the Football Gold Coast team in Mudgeeraba?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Peter Williamson"
],
"style": "rule"
} | {
"answer": [
"Peter Williamson"
],
"id": "wikisql-64538",
"question": "Who is the president of the team that has head coach Mark Wakeling under Football Gold Coast?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Steve Radoslavic"
],
"style": "rule"
} | {
"answer": [
"Steve Radoslavic"
],
"id": "wikisql-64539",
"question": "Who is the head coach of the team whose president is Mario Volarevic under Football Gold Coast?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mudgeeraba Soccer Club"
],
"style": "rule"
} | {
"answer": [
"Mudgeeraba Soccer Club"
],
"id": "wikisql-64540",
"question": "Which team's head coach is Steve Beever under Football Gold Coast ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"The Stone Wolf"
],
"style": "rule"
} | {
"answer": [
"The Stone Wolf"
],
"id": "wikisql-64547",
"question": "What is the translated title of Steinulven of Trollrunor?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dagen gryr"
],
"style": "rule"
} | {
"answer": [
"Dagen gryr"
],
"id": "wikisql-64548",
"question": "Trollrunor in Norwegian has 218 pages and translated title Breaking Dawn?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64563",
"question": "How many laps was driver Jacques Villeneuve and grid more than 7 for 1998 Argentine Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6–0"
],
"style": "rule"
} | {
"answer": [
"6–0"
],
"id": "wikisql-64570",
"question": "What is the score between Toni Kroos and the game with 4 goals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64571",
"question": "What is Toni Kroos' score in the friendly with 1 goal?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64575",
"question": "What is Alain Prost's 14-lap starting grid at the 1986 Spanish Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Analog"
],
"style": "rule"
} | {
"answer": [
"Analog"
],
"id": "wikisql-64576",
"question": "What is the digital/analog signal with a chipset based on Radeon 8500 in All-in-Wonder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"All-in-Wonder 9200"
],
"style": "rule"
} | {
"answer": [
"All-in-Wonder 9200"
],
"id": "wikisql-64577",
"question": "What is the retail name with a Radeon 9200 based chipset under All-in-Wonder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Radeon 9800"
],
"style": "rule"
} | {
"answer": [
"Radeon 9800"
],
"id": "wikisql-64578",
"question": "What is the chipset based on with a digital/analog analog signal, with an available interface from agp, with the trade name with all-in-wonder 9800?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"All-in-Wonder HD"
],
"style": "rule"
} | {
"answer": [
"All-in-Wonder HD"
],
"id": "wikisql-64579",
"question": "What is the retail name of All-in-Wonders with an available PCI Express 2.0 interface?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Analog"
],
"style": "rule"
} | {
"answer": [
"Analog"
],
"id": "wikisql-64580",
"question": "What is the digital/analog signal with an available interface with pci express, with retail names with all-in-wonder x600 pro?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"All-in-Wonder 9600",
"All-in-Wonder 2006 Edition"
],
"style": "rule"
} | {
"answer": [
"All-in-Wonder 9600",
"All-in-Wonder 2006 Edition"
],
"id": "wikisql-64581",
"question": "What is the all-in-wonder retail name with a digital/analog signal with analog and a chipset based on Radeon 9600?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Myuzyk"
],
"style": "rule"
} | {
"answer": [
"Myuzyk"
],
"id": "wikisql-64587",
"question": "Tell me label for formats of CD and album under Posthuman (band) 2008 when is the year 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": [
"Acroplane Recordings"
],
"style": "rule"
} | {
"answer": [
"Acroplane Recordings"
],
"id": "wikisql-64588",
"question": "Tell me for Posthuman (band), the label for the digital format with Nebula remixes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"SEEDEX01"
],
"style": "rule"
} | {
"answer": [
"SEEDEX01"
],
"id": "wikisql-64589",
"question": "I want to know the catalog number for the album and the Seed Records label for the CD and the title of the gray album under Posthuman (band)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"EP"
],
"style": "rule"
} | {
"answer": [
"EP"
],
"id": "wikisql-64590",
"question": "From the Posthuman (band) list, tell me the format with the year over 2000 and the label of myuzyk with the catalog number of mzykn08 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64596",
"question": "What is the average starting number for cars that retired from the 1969 Spanish Grand Prix due to an engine failure 18 laps ago?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Oil Leak"
],
"style": "rule"
} | {
"answer": [
"Oil Leak"
],
"id": "wikisql-64597",
"question": "What is the time/retirement for Jo Siffert starting under 11 in the 1969 Spanish Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Graham Hill"
],
"style": "rule"
} | {
"answer": [
"Graham Hill"
],
"id": "wikisql-64598",
"question": "Which driver in the 1969 Spanish Grand Prix has less than 19 laps and a starting grid of less than 10?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-64599",
"question": "Where was the 24,694-spectator game at the 1918 World 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": [
"15238"
],
"style": "rule"
} | {
"answer": [
"15238"
],
"id": "wikisql-64600",
"question": "What was the attendance at the September 11, 1918 World 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": [
"Eddie Shore Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Eddie Shore Category:Articles with hCards"
],
"id": "wikisql-64601",
"question": "Who had more than 3 wins for the Hart Memorial Trophy?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Valencia"
],
"style": "rule"
} | {
"answer": [
"Valencia"
],
"id": "wikisql-64604",
"question": "I want to know the third under the Emirates Cup with the runner from Paris Saint-Germain and a circulation less than 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": [
"2011"
],
"style": "rule"
} | {
"answer": [
"2011"
],
"id": "wikisql-64605",
"question": "Under the Emirates Cup I want the annual total for the issuance of more than 4 and the New York Red Bulls winners?",
"split": "train"
} |
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