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": [
"C"
],
"style": "rule"
} | {
"answer": [
"C"
],
"id": "wikisql-33455",
"question": "Among the other selections in the 1953 NBA draft, name the Baltimore Balls and College of Texas Tech 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": [
"United States",
"United States",
"United States"
],
"style": "rule"
} | {
"answer": [
"United States",
"United States",
"United States"
],
"id": "wikisql-33456",
"question": "What nationality are the Milwaukee Hawks among the other picks in the 1953 NBA draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1–0"
],
"style": "rule"
} | {
"answer": [
"1–0"
],
"id": "wikisql-33467",
"question": "I would like to see the result for venue n and over 20,664 spectators in the 1998/99 Rangers FC Scottish Cup. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6–0"
],
"style": "rule"
} | {
"answer": [
"6–0"
],
"id": "wikisql-33468",
"question": "Tell me the result for a venue of a Rangers FC season 1998/99 Scottish Cup. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"52670.0"
],
"style": "rule"
} | {
"answer": [
"52670.0"
],
"id": "wikisql-33469",
"question": "I would like to know the average attendance for Round and Round F of the 1988-89 Scottish Cup - Rangers Cup 1998-99 season at the 'N venue. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1859–60"
],
"style": "rule"
} | {
"answer": [
"1859–60"
],
"id": "wikisql-33471",
"question": "What year was the Undine class for Locomotives Southern Railway's 1850 1871?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-33472",
"question": "How high was the surviving number of 15 locomotives of the southern railway in the years 1850 - 1871?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1851–1854"
],
"style": "rule"
} | {
"answer": [
"1851–1854"
],
"id": "wikisql-33473",
"question": "Name the year for Hercules among the locomotives of the Southern Railway (1850 1871)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hans Joachim Stuck Christophe Bouchut"
],
"style": "rule"
} | {
"answer": [
"Hans Joachim Stuck Christophe Bouchut"
],
"id": "wikisql-33497",
"question": "Who were the co-drivers after 1994 in the WSC class for Thierry Boutsen in the full 24 Hours of Le Mans results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Melbourne"
],
"style": "rule"
} | {
"answer": [
"Melbourne"
],
"id": "wikisql-33498",
"question": "Which home team of the VFL round 1933 scored 9.15 (69)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Victoria Park"
],
"style": "rule"
} | {
"answer": [
"Victoria Park"
],
"id": "wikisql-33499",
"question": "Which venue did the home team score 14.23 (107) during the 8th round of the 1933 VFL season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2 September 1933"
],
"style": "rule"
} | {
"answer": [
"2 September 1933"
],
"id": "wikisql-33500",
"question": "On what day did Footscray play as the home team in round 18 of the 1933 VFL 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"
],
"style": "rule"
} | {
"answer": [
"Report"
],
"id": "wikisql-33501",
"question": "What is the report for October 10th in the 1976 Formula 1 Season Recap?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"John Watson"
],
"style": "rule"
} | {
"answer": [
"John Watson"
],
"id": "wikisql-33502",
"question": "Who was the winner of the season review race winner with a pole position James Chase and a fastest lap by James Chase and a date of August 15 in the 1976 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": [
"Italian Grand Prix"
],
"style": "rule"
} | {
"answer": [
"Italian Grand Prix"
],
"id": "wikisql-33503",
"question": "What is the season review race for the 1976 Formula 1 season, which race has a pole position from Jacques Laffite?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jody Scheckter"
],
"style": "rule"
} | {
"answer": [
"Jody Scheckter"
],
"id": "wikisql-33504",
"question": "What is the pole position of the 1976 Formula 1 season in the Swedish Grand Prix season in review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 August"
],
"style": "rule"
} | {
"answer": [
"29 August"
],
"id": "wikisql-33505",
"question": "On what date was Zandvoort the setting for the 1976 Formula 1 season review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Francis II"
],
"style": "rule"
} | {
"answer": [
"Francis II"
],
"id": "wikisql-33507",
"question": "In the list of Czech consorts of the House of Habsburg-Lorraine, who is the consort of the Queen who is the daughter of Ferdinand I of the Two Sicilies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"22 February 2008"
],
"style": "rule"
} | {
"answer": [
"22 February 2008"
],
"id": "wikisql-33524",
"question": "What is the date of the game with the Rockets as the visiting team for the New Orleans Hornets 2007-08 season in February?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Forward"
],
"style": "rule"
} | {
"answer": [
"Forward"
],
"id": "wikisql-33525",
"question": "What was the position of the player who played for the Rockets in 1981 on the Houston Rockets All Time S Roster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Florida State"
],
"style": "rule"
} | {
"answer": [
"Florida State"
],
"id": "wikisql-33526",
"question": "From which school, club team or country was the player numbered less than 4 on the Houston Rockets All-Time S-roster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"50"
],
"style": "rule"
} | {
"answer": [
"50"
],
"id": "wikisql-33527",
"question": "What is the player number for the Houston Rockets All-Time S Roster who came from Virginia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Windy Hill"
],
"style": "rule"
} | {
"answer": [
"Windy Hill"
],
"id": "wikisql-33528",
"question": "Which round 6 spot has a home team score of 18.19 (127) in the 1936 VFL 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": [
"8.9 (57)"
],
"style": "rule"
} | {
"answer": [
"8.9 (57)"
],
"id": "wikisql-33539",
"question": "What is the round 3 away team score that played against the home team that scored 7.14 (56) for the 1949 VFL 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": [
"Princes Park"
],
"style": "rule"
} | {
"answer": [
"Princes Park"
],
"id": "wikisql-33540",
"question": "What is the name of the venue where the away team scored 7.6 (48) and the home team 21.27 (153) in the 3rd round of the 1949 VFL 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": [
"30 April 1949"
],
"style": "rule"
} | {
"answer": [
"30 April 1949"
],
"id": "wikisql-33541",
"question": "What date did the home team score 5.15 (45) during the 1949 VFL season, Round 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": [
"8.9 (57)"
],
"style": "rule"
} | {
"answer": [
"8.9 (57)"
],
"id": "wikisql-33542",
"question": "What is the score of the away team whose opponent scored 7.14 (56) in round 3 of the 1949 VFL season in front of more than 24,000 spectators?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"South Melbourne"
],
"style": "rule"
} | {
"answer": [
"South Melbourne"
],
"id": "wikisql-33543",
"question": "What is the name of the away team of the 1949 VFL season that played against Geelong in round 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": [
"30000"
],
"style": "rule"
} | {
"answer": [
"30000"
],
"id": "wikisql-33544",
"question": "What is 1949 season for VFL, from smallest viewership for away team Fitzroys Round 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": [
"Glenferrie Oval"
],
"style": "rule"
} | {
"answer": [
"Glenferrie Oval"
],
"id": "wikisql-33580",
"question": "What was the Round 5 venue where Carlton guested as the away team for the 1939 VFL 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": [
"20 May 1939"
],
"style": "rule"
} | {
"answer": [
"20 May 1939"
],
"id": "wikisql-33581",
"question": "What was the date of the 5th round away game at Collingwood in the 1939 VFL 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": [
"Guard"
],
"style": "rule"
} | {
"answer": [
"Guard"
],
"id": "wikisql-33591",
"question": "Name the position for the Valparaiso native in the Houston Rockets all-time D-list.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6-1"
],
"style": "rule"
} | {
"answer": [
"6-1"
],
"id": "wikisql-33592",
"question": "Report the height in feet for the North Carolina-Charlotte guard on the Houston Rockets All-Time D Roster. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6-3"
],
"style": "rule"
} | {
"answer": [
"6-3"
],
"id": "wikisql-33593",
"question": "Name the height in feet for the Valparaiso player on the Houston Rockets all-time D roster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Arizona"
],
"style": "rule"
} | {
"answer": [
"Arizona"
],
"id": "wikisql-33594",
"question": "Name the school/club team/country for the player who is 6-5 feet in the Houston Rockets all-time D-list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"22*"
],
"style": "rule"
} | {
"answer": [
"22*"
],
"id": "wikisql-33595",
"question": "On the Houston Rockets all-time D roster, what are the numbers for the 6-7 foot tall player for the guard?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6-8"
],
"style": "rule"
} | {
"answer": [
"6-8"
],
"id": "wikisql-33596",
"question": "What is the height in ft for the Wyoming player on the Houston Rockets all-time D roster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Windsor"
],
"style": "rule"
} | {
"answer": [
"Windsor"
],
"id": "wikisql-33597",
"question": "Which college did the Calgary Stampeders draft in the third round of the 2005 CFL Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"D"
],
"style": "rule"
} | {
"answer": [
"D"
],
"id": "wikisql-33598",
"question": "What is the tire for the 1964 Formula 1 US Grand Prix season in review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Canada"
],
"style": "rule"
} | {
"answer": [
"Canada"
],
"id": "wikisql-33605",
"question": "Considering the 2007-08 Colorado Avalanche season, what is Trevor Cann's nationality draft pick?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-33606",
"question": "What nationality is Kent Patterson among the 2007-08 Colorado Avalanche draft picks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7th Missile Squadron , Upinniemi"
],
"style": "rule"
} | {
"answer": [
"7th Missile Squadron , Upinniemi"
],
"id": "wikisql-33607",
"question": "Which unit of the list of active ships in the Finnish Navy has a pennant number of 82 under patrol?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"71"
],
"id": "wikisql-33608",
"question": "What is the highest pennant count with Raahe-class ships in the list of Finnish Navy active patrol ships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"83"
],
"style": "rule"
} | {
"answer": [
"83"
],
"id": "wikisql-33609",
"question": "What is the highest pennant number with Pori class ships in the list of Finnish Navy active patrols?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-33618",
"question": "What is the total number of interview averages of 8.75 if the number of gowns for Miss Teen USA 1994 preliminary competition was greater than 8.75?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-33619",
"question": "What is the total number of interviews in the Miss Teen USA 1994 preliminary round where the number of evening gowns is less than 8.82, the state is Kentucky and the average is more than 8.85?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-33620",
"question": "How many averages had a swimsuit score of 8.42 and a gown score of less than 8.71 for the Miss Teen USA 1994 Preliminary 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": [
"District of Columbia"
],
"style": "rule"
} | {
"answer": [
"District of Columbia"
],
"id": "wikisql-33621",
"question": "Which state in the Miss Teen USA 1994 preliminary round had an average less than 8.67, a swimsuit score of 8.27, an evening gown score of 8.78, and an interview number of 8.52?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"28–24–4"
],
"style": "rule"
} | {
"answer": [
"28–24–4"
],
"id": "wikisql-33622",
"question": "What is the February record when the visitor was Nashville for the 2007-08 Phoenix Coyotes 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 –1"
],
"style": "rule"
} | {
"answer": [
"0 –1"
],
"id": "wikisql-33623",
"question": "What was the result when more than 14,381 were in attendance and Phoenix was the visitor and Chicago was home to the February 2007-08 Phoenix Coyotes 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": [
"14-02-2003"
],
"style": "rule"
} | {
"answer": [
"14-02-2003"
],
"id": "wikisql-33624",
"question": "When was a competition among the statistics of the 2003 Cricket World Cup held in Pietermaritzburg Best Bowling. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6-25 (9.1)"
],
"style": "rule"
} | {
"answer": [
"6-25 (9.1)"
],
"id": "wikisql-33625",
"question": "In the 2003 Cricket World Cup statistics, what were the best bowling figures for the Pietermaritzburg 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": [
"Kenya"
],
"style": "rule"
} | {
"answer": [
"Kenya"
],
"id": "wikisql-33626",
"question": "Who was the opponent during the competition where the bowling numbers for the 2003 Cricket World Cup Stats was 5 - 33 (10) for Bowling: Best?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7-15 (7)"
],
"style": "rule"
} | {
"answer": [
"7-15 (7)"
],
"id": "wikisql-33627",
"question": "What were GD McGrath's best bowling figures in the 2003 Cricket World Cup statistics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-33632",
"question": "Which manufacturer has 23 laps and a time of +45.195 for the Moto GP classification of the 2007 Italian Motorcycling 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": [
"23"
],
"style": "rule"
} | {
"answer": [
"23"
],
"id": "wikisql-33633",
"question": "What is the sum of Sylvain Guintoli's laps in the Moto GP classification at the 2007 Italian Motorcycling 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": [
"23 May 1964"
],
"style": "rule"
} | {
"answer": [
"23 May 1964"
],
"id": "wikisql-33644",
"question": "If the away team was South Melbourne what date did they play in the 1964 VFL season Round 6 S?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.11 (59)"
],
"style": "rule"
} | {
"answer": [
"8.11 (59)"
],
"id": "wikisql-33645",
"question": "What was the away team's score in Round 6 of VFL 1964 when the venue was Kardinia Park and the crowd exceeded 16,437?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13.19 (97)"
],
"style": "rule"
} | {
"answer": [
"13.19 (97)"
],
"id": "wikisql-33646",
"question": "When the away team scored 6.13 (49), what was the home team's score for round 6 of the 1964 VFL 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": [
"28 February 2008"
],
"style": "rule"
} | {
"answer": [
"28 February 2008"
],
"id": "wikisql-33648",
"question": "For 2007-08 Scottish Third Division I would like the date of the vacancy for the departure of the resigned and outgoing manager of Gordon Wyldes management changes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"John Coughlin"
],
"style": "rule"
} | {
"answer": [
"John Coughlin"
],
"id": "wikisql-33649",
"question": "I would like the appointment date to be changed to 12 October 2007 for 2007/08 in the Scottish Third Division in management. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Berwick Rangers"
],
"style": "rule"
} | {
"answer": [
"Berwick Rangers"
],
"id": "wikisql-33650",
"question": "I wish to change the team for the date of vacancy 28 February 2007–08 in the Scottish Third Division in management?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Resigned"
],
"style": "rule"
} | {
"answer": [
"Resigned"
],
"id": "wikisql-33651",
"question": "I would like 12 October 2007 to be set as the exit date for the 2007/08 Scottish Third Division leadership changes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7 April"
],
"style": "rule"
} | {
"answer": [
"7 April"
],
"id": "wikisql-33652",
"question": "What date was the Syracuse Circuit for the 1957 Formula One season for non-championship racing results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"28 April"
],
"style": "rule"
} | {
"answer": [
"28 April"
],
"id": "wikisql-33653",
"question": "What x date of the Gran Premio di Napoli were the results of the non-championship races of the 1957 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": [
"Report"
],
"style": "rule"
} | {
"answer": [
"Report"
],
"id": "wikisql-33654",
"question": "In the results of the non-championship races of the 1957 Formula 1 season, which report happened on September 22nd?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 22, 1998"
],
"style": "rule"
} | {
"answer": [
"March 22, 1998"
],
"id": "wikisql-33674",
"question": "When did episode 29 (7) originally air in season 2 1998 episode list of La Femme Nikita?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Bonnière"
],
"style": "rule"
} | {
"answer": [
"René Bonnière"
],
"id": "wikisql-33675",
"question": "From the episode list of La Femme Nikita, who directed the episode \"Approaching Zero\" in Season 2: 1998?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"31 (9)"
],
"style": "rule"
} | {
"answer": [
"31 (9)"
],
"id": "wikisql-33676",
"question": "In list of episodes of la femme nikita season 2: 1998 what is the episode of the episode aired on April 5, 1998?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Robert Cochran"
],
"style": "rule"
} | {
"answer": [
"Robert Cochran"
],
"id": "wikisql-33677",
"question": "From the list of episodes of La Femme Nikita Season 2 1998, who wrote the episode which originally aired March 1, 1998?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-33687",
"question": "What is the small number of top 25 in a 15+ appearance event in Anthony Kim's resume?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Carlton"
],
"style": "rule"
} | {
"answer": [
"Carlton"
],
"id": "wikisql-33700",
"question": "Which away team scored 18.11 (119) from the 22nd round of the 1975 VFL 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": [
"Geelong"
],
"style": "rule"
} | {
"answer": [
"Geelong"
],
"id": "wikisql-33701",
"question": "Which home team scored 18.11 (119) for the 22nd round of the 1975 VFL 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": [
"32–19"
],
"style": "rule"
} | {
"answer": [
"32–19"
],
"id": "wikisql-33710",
"question": "What is Carlos Boozer's (23) record as the top scorer in the 2007-08 Utah Jazz season in February?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"February 8"
],
"style": "rule"
} | {
"answer": [
"February 8"
],
"id": "wikisql-33711",
"question": "When was Carlos Boozer (23) the top scorer in the February 2007-08 Utah Jazz 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": [
"February 4"
],
"style": "rule"
} | {
"answer": [
"February 4"
],
"id": "wikisql-33713",
"question": "While the Hornets were visiting, when was Deron Williams (29) the top scorer for the 2007-08 Utah Jazz season in February?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kuha 21",
"Kuha 23",
"Kuha 24",
"Kuha 26"
],
"style": "rule"
} | {
"answer": [
"Kuha 21",
"Kuha 23",
"Kuha 24",
"Kuha 26"
],
"id": "wikisql-33714",
"question": "In active ships of the Finnish Navy, tell me classes of Kuha-class minesweepers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7335"
],
"style": "rule"
} | {
"answer": [
"7335"
],
"id": "wikisql-33716",
"question": "If the away team is Geelong, what is the highest attendance in round 9 of the 1971 VFL 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": [
"29250"
],
"style": "rule"
} | {
"answer": [
"29250"
],
"id": "wikisql-33717",
"question": "What is the total attendance since the 1971 VFL season for the Princes Park venue, Round 9?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7335"
],
"style": "rule"
} | {
"answer": [
"7335"
],
"id": "wikisql-33718",
"question": "What was the viewership in the 1971 VFL season for the away team with a score of 16.13 (109) in round 9?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 November 1700"
],
"style": "rule"
} | {
"answer": [
"1 November 1700"
],
"id": "wikisql-33721",
"question": "When did Charles III die? in the list of counts of Burgundy 1482 1678 of the House of Habsburg?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Juan Manuel Fangio"
],
"style": "rule"
} | {
"answer": [
"Juan Manuel Fangio"
],
"id": "wikisql-33722",
"question": "What is the fastest lap of the race where Giuseppe Farina was the season review winner of the 1951 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": [
"Report"
],
"style": "rule"
} | {
"answer": [
"Report"
],
"id": "wikisql-33723",
"question": "What is the reporting status of the race with Ferrari as constructor and a circuit at Monza under the 1951 Formula 1 season reviews?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alfa Romeo"
],
"style": "rule"
} | {
"answer": [
"Alfa Romeo"
],
"id": "wikisql-33724",
"question": "What is the designer of the season review race with Juan Manuel Fangio as the fastest lap and Giuseppe Farina as the winning driver in the 1951 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": [
"José Froilán González"
],
"style": "rule"
} | {
"answer": [
"José Froilán González"
],
"id": "wikisql-33725",
"question": "Who was the winning driver of the British Grand Prix where Giuseppe Farina set the fastest lap in the 1951 Formula 1 season recap?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Swiss Grand Prix",
"Spanish Grand Prix"
],
"style": "rule"
} | {
"answer": [
"Swiss Grand Prix",
"Spanish Grand Prix"
],
"id": "wikisql-33726",
"question": "What was the 1951 Formula 1 season recap race that had a tire owned by p and Juan Manuel Fangio as the winning driver?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-33727",
"question": "How many London and North Eastern Railway (1893-1900) locomotives does the Type 2-4-2t have?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-33729",
"question": "What is the quantity of Type 2-4-2t in the Locomotives of the London and North Eastern Railway (1893–1900)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 June 1935"
],
"style": "rule"
} | {
"answer": [
"1 June 1935"
],
"id": "wikisql-33741",
"question": "When did Geelong play as away team in 6th round of 1935 VFL season 1935?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7.6 (48)"
],
"style": "rule"
} | {
"answer": [
"7.6 (48)"
],
"id": "wikisql-33747",
"question": "What was the result of the home team in the 20th round of the 1970 VFL season in the game at Arden Street Oval?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"29918"
],
"style": "rule"
} | {
"answer": [
"29918"
],
"id": "wikisql-33748",
"question": "What is the total number of people who attended Kardinia Park Round 20 games of the 1970 VFL 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": [
"8837"
],
"style": "rule"
} | {
"answer": [
"8837"
],
"id": "wikisql-33749",
"question": "Which game at Arden Street Oval had the fewest attendances in the 20th round of the 1970 VFL 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": [
"Junction Oval"
],
"style": "rule"
} | {
"answer": [
"Junction Oval"
],
"id": "wikisql-33750",
"question": "Where did the game against away team Footscray take place in the 20th round of the 1970 VFL 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": [
"Essendon"
],
"style": "rule"
} | {
"answer": [
"Essendon"
],
"id": "wikisql-33755",
"question": "Which home team will have a venue at Windy Hill in round 3 of the 1942 VFL 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": [
"Windy Hill"
],
"style": "rule"
} | {
"answer": [
"Windy Hill"
],
"id": "wikisql-33756",
"question": "If Essendon is the home team at which venue did they play in round 3 of the 1942 VFL 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": [
"Collingwood"
],
"style": "rule"
} | {
"answer": [
"Collingwood"
],
"id": "wikisql-33757",
"question": "What did the away team play when the home team was Richmond in Round 3 of the 1942 VFL 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-33758",
"question": "Given the 1942 VFL season and Round 3 when the home team is playing Hawthorn and there are more than 13,000 people in the crowd what was the away result?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 May 1968"
],
"style": "rule"
} | {
"answer": [
"11 May 1968"
],
"id": "wikisql-33762",
"question": "What date did Richmond play as the away team for Round 5 of the 1968 VFL 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": [
"Geelong"
],
"style": "rule"
} | {
"answer": [
"Geelong"
],
"id": "wikisql-33763",
"question": "Which away team did Melbourne play as a home team in round 5 of the 1968 VFL 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": [
"Hawthorn"
],
"style": "rule"
} | {
"answer": [
"Hawthorn"
],
"id": "wikisql-33764",
"question": "During the 5th round of the 1968 VFL season, which away team has an away team score of 11.16 (82)?",
"split": "train"
} |
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