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": [
"1934"
],
"style": "rule"
} | {
"answer": [
"1934"
],
"id": "wikisql-34755",
"question": "From the Bislett Games list, what is the earliest year that the discus throwing event was held under the American Meetings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"32–23–8"
],
"style": "rule"
} | {
"answer": [
"32–23–8"
],
"id": "wikisql-34765",
"question": "What is the record of the game with a decision by Ellis and Vancouver as a guest in the Nashville Predators 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": [
"February 16"
],
"style": "rule"
} | {
"answer": [
"February 16"
],
"id": "wikisql-34767",
"question": "What is the date with Ellis as the decider and St. Louis as a guest in the Nashville Predators February 2007-08 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": [
"Pittsburgh"
],
"style": "rule"
} | {
"answer": [
"Pittsburgh"
],
"id": "wikisql-34768",
"question": "During the Florida Panthers' 2007-08 season, which away team had a 31-31-8 record in March?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Carlisle, PA"
],
"style": "rule"
} | {
"answer": [
"Carlisle, PA"
],
"id": "wikisql-34769",
"question": "Where is Jeff Lebo's hometown on the USA Today All-USA high school basketball team 1985 Boys' 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": [
"Tito Horford"
],
"style": "rule"
} | {
"answer": [
"Tito Horford"
],
"id": "wikisql-34770",
"question": "Who is the Houston, TX player on the USA Today All-USA High School Basketball Team 1985 Boys' 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": [
"Report"
],
"style": "rule"
} | {
"answer": [
"Report"
],
"id": "wikisql-34773",
"question": "What is the 1955 Argentine Grand Prix Formula 1 Season Recap race report?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"F"
],
"style": "rule"
} | {
"answer": [
"F"
],
"id": "wikisql-34774",
"question": "What's the tire if Jerry Hoyt was pole position in the 1955 Formula One 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": [
"Mercedes"
],
"style": "rule"
} | {
"answer": [
"Mercedes"
],
"id": "wikisql-34775",
"question": "The season of season recap, who was the constructor when Eugenio Castellotti was on pole and the race was a C tire for the 1955 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": [
"Stirling Moss"
],
"style": "rule"
} | {
"answer": [
"Stirling Moss"
],
"id": "wikisql-34776",
"question": "What was the fastest lap time of the British Grand Prix season in review when Mercedes was the constructor in the 1955 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": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikisql-34782",
"question": "Tell me the rank for 2012 and more than 176 for international rankings of Taiwan politics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2010"
],
"style": "rule"
} | {
"answer": [
"2010"
],
"id": "wikisql-34783",
"question": "In the international rankings of Taiwan, tell me the year for rank more than 35 and out of 167 for politics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"40"
],
"style": "rule"
} | {
"answer": [
"40"
],
"id": "wikisql-34784",
"question": "How many UCI points did Rabobank score for the general classification of Volta a Catalunya 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"AG2R Prévoyance"
],
"style": "rule"
} | {
"answer": [
"AG2R Prévoyance"
],
"id": "wikisql-34785",
"question": "Which team in France had 15 UCI points overall in Volta a Catalunya 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Footscray"
],
"style": "rule"
} | {
"answer": [
"Footscray"
],
"id": "wikisql-34792",
"question": "What was Essendon's 1932 Round 1 VFL season opponents home side?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34793",
"question": "What was the crowd size in a game with a home team score of 15.15 (105), 1932 VFL Season Round, Round 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": [
"11.19 (85)"
],
"style": "rule"
} | {
"answer": [
"11.19 (85)"
],
"id": "wikisql-34794",
"question": "What was the home team's score when the opposing team had a score of 9.11 (65) for the 1st round of the 1932 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": [
"10.9 (69)"
],
"style": "rule"
} | {
"answer": [
"10.9 (69)"
],
"id": "wikisql-34799",
"question": "What is the North Melbourne away team's score in Round 3 of the 1963 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": [
"26523"
],
"style": "rule"
} | {
"answer": [
"26523"
],
"id": "wikisql-34800",
"question": "What was the crowd size at the third round games at the Kardinia Park venue in the 1963 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": [
"10.14 (74)"
],
"style": "rule"
} | {
"answer": [
"10.14 (74)"
],
"id": "wikisql-34801",
"question": "What was the score of the home team playing Carlton's away game in round 3 of the 1963 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": [
"315"
],
"style": "rule"
} | {
"answer": [
"315"
],
"id": "wikisql-34802",
"question": "What was the pick number when Mark Hayes was drafted by the New York Jets in the 1991 NFL 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": [
"Georgia"
],
"style": "rule"
} | {
"answer": [
"Georgia"
],
"id": "wikisql-34803",
"question": "Which team had a pick of 63 in the 1991 New York Jets NFL 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": [
"Georgia"
],
"style": "rule"
} | {
"answer": [
"Georgia"
],
"id": "wikisql-34804",
"question": "Considering the New York Jets' 1991 season, which team had a linebacker position with a pick smaller than 288 in the 1991 NFL 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": [
"Browning Nagle"
],
"style": "rule"
} | {
"answer": [
"Browning Nagle"
],
"id": "wikisql-34805",
"question": "Which player did Louisville pick in the under-8 round for the New York Jets' 1991 NFL 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": [
"Winner"
],
"style": "rule"
} | {
"answer": [
"Winner"
],
"id": "wikisql-34806",
"question": "What was the result of the game Ana Timotić scored 3-6 6-3 6-0 in ITF Singles Final 19?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Runner-up"
],
"style": "rule"
} | {
"answer": [
"Runner-up"
],
"id": "wikisql-34807",
"question": "From the list of Ana Timotić's ITF singles final 19 on 27 July 2003, what was the result of the match that resulted in a score of 7-5 5 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": [
"6–4, 3–6, 6–1"
],
"style": "rule"
} | {
"answer": [
"6–4, 3–6, 6–1"
],
"id": "wikisql-34808",
"question": "What was the final result of Ana Timotić vs Lenka Novotná ITF singles final (19) 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": [
"6–1, 6–1"
],
"style": "rule"
} | {
"answer": [
"6–1, 6–1"
],
"id": "wikisql-34810",
"question": "What was the final result of Ana Timotić's ITF singles final (19) match against opponent Ana Ivanovic?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34821",
"question": "What is the viewership for the event that has a score of 8.25 (73) for the away team for Round 19 of the 1979 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": [
"South Melbourne"
],
"style": "rule"
} | {
"answer": [
"South Melbourne"
],
"id": "wikisql-34822",
"question": "From the 1979 VFL season when the away team has a total score of 13.9 (87), what is the name of the away team round 19. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 August 1979"
],
"style": "rule"
} | {
"answer": [
"11 August 1979"
],
"id": "wikisql-34823",
"question": "What was the date the away team had a score of 8.8 (56) in round 19 of the 1979 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": [
"6.5 (41)"
],
"style": "rule"
} | {
"answer": [
"6.5 (41)"
],
"id": "wikisql-34824",
"question": "When the home team had a score of 13.19 (97), what was the away team's score for round 19 of the 1979 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": [
"9000"
],
"style": "rule"
} | {
"answer": [
"9000"
],
"id": "wikisql-34825",
"question": "What was the smallest crowd in games of the 1931 VFL season at the Corio Oval in round 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": [
"7.11 (53)"
],
"style": "rule"
} | {
"answer": [
"7.11 (53)"
],
"id": "wikisql-34826",
"question": "How many goals did Melbourne score in round 10 of the 1931 VFL season in the game where Melbourne was the away 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": [
"11 July 1931"
],
"style": "rule"
} | {
"answer": [
"11 July 1931"
],
"id": "wikisql-34827",
"question": "On what day did a home team score 8.18 (66) points for the 10th round of the 1931 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": [
"Holmqvist"
],
"style": "rule"
} | {
"answer": [
"Holmqvist"
],
"id": "wikisql-34828",
"question": "Who had the call when Buffalo was the guest for the 2007-08 Tampa Bay Lightning season in October?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Corio Oval"
],
"style": "rule"
} | {
"answer": [
"Corio Oval"
],
"id": "wikisql-34829",
"question": "Tell me the location of the 13th round of the 1936 VFL season in North Melbourne.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Best Performance by a Leading Actor in a Musical",
"Outstanding Actor in a Musical"
],
"style": "rule"
} | {
"answer": [
"Best Performance by a Leading Actor in a Musical",
"Outstanding Actor in a Musical"
],
"id": "wikisql-34836",
"question": "In which category was Gene Barry nominated under the original Broadway production of La Cage aux Folles (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": [
"1984"
],
"style": "rule"
} | {
"answer": [
"1984"
],
"id": "wikisql-34837",
"question": "In what year did nominee George Hearn win the Drama Desk Award in the 2005 Original Broadway production of La Cage aux Folles (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": [
"1999, 2000, 2003"
],
"style": "rule"
} | {
"answer": [
"1999, 2000, 2003"
],
"id": "wikisql-34841",
"question": "I want the years for the marathon distance and victories of 3 for the Riga marathon. Multiple winners?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Latvia"
],
"style": "rule"
} | {
"answer": [
"Latvia"
],
"id": "wikisql-34842",
"question": "Name the country of the Riga Marathon for the multiple winners of the athlete from Ziedonis zaļkalns?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20.15 (135)"
],
"style": "rule"
} | {
"answer": [
"20.15 (135)"
],
"id": "wikisql-34851",
"question": "What was Richmond's Round 15 away opponent in the 1979 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": [
"11.12 (78)"
],
"style": "rule"
} | {
"answer": [
"11.12 (78)"
],
"id": "wikisql-34852",
"question": "What was the Round 15 away result at VFL Park for the 1979 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": [
"Victoria Park"
],
"style": "rule"
} | {
"answer": [
"Victoria Park"
],
"id": "wikisql-34854",
"question": "Tell me the venue of the 6th round of the 1931 VFL season between St Kilda away team and Carlton on 8th June 1931?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17.11 (113)"
],
"style": "rule"
} | {
"answer": [
"17.11 (113)"
],
"id": "wikisql-34855",
"question": "In the 1974 VFL season when Fitzroy was the home team, how much did the away team score in round 22?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Moorabbin Oval"
],
"style": "rule"
} | {
"answer": [
"Moorabbin Oval"
],
"id": "wikisql-34856",
"question": "In round 22 of the 1974 VFL season game, where was the home Carlton team venue when they scored 15.11 (101) and where was the away Carlton 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": [
"20.17 (137)"
],
"style": "rule"
} | {
"answer": [
"20.17 (137)"
],
"id": "wikisql-34857",
"question": "When Essendon was the home team in round 22, how many goals did they score in the 1974 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-34862",
"question": "What is the away team of the 15th round of the 1944 VFL season that played at Punt Road 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": [
"6.9 (45)"
],
"style": "rule"
} | {
"answer": [
"6.9 (45)"
],
"id": "wikisql-34863",
"question": "What is the score of the home team that played at Windy Hill in the 15th round of the 1944 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": [
"4500"
],
"style": "rule"
} | {
"answer": [
"4500"
],
"id": "wikisql-34864",
"question": "How big was the crowd at the game played by away team Geelong in the 15th round of the 1944 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": [
"Lotus - Climax"
],
"style": "rule"
} | {
"answer": [
"Lotus - Climax"
],
"id": "wikisql-34865",
"question": "Which constructor has a race called I News of the World Trophy in the 1964 Formula 1 season among the non-championship race 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": [
"Lotus - Climax"
],
"style": "rule"
} | {
"answer": [
"Lotus - Climax"
],
"id": "wikisql-34866",
"question": "Which constructor got the Goodwood Circuit among the results of the non-championship races in the 1964 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": [
"Graham Hill"
],
"style": "rule"
} | {
"answer": [
"Graham Hill"
],
"id": "wikisql-34867",
"question": "Which driver won the VII Rand Grand Prix in the 1964 Formula One season in the non-championship race 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": [
"III Mediterranean Grand Prix"
],
"style": "rule"
} | {
"answer": [
"III Mediterranean Grand Prix"
],
"id": "wikisql-34868",
"question": "What is the name of the race in the 1964 Formula 1 season that has the results of the Pergusa Circuit non-championship race?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.10 (58)"
],
"style": "rule"
} | {
"answer": [
"8.10 (58)"
],
"id": "wikisql-34869",
"question": "What is away team Collingwood's score in 1945 Round 8 VFL?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Prost Acer"
],
"style": "rule"
} | {
"answer": [
"Prost Acer"
],
"id": "wikisql-34870",
"question": "What is the Drivers' and Constructors' Championship? Jean Alesi drives the Acer 01A engine for which team in the 2001 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": [
"Minardi - European"
],
"style": "rule"
} | {
"answer": [
"Minardi - European"
],
"id": "wikisql-34871",
"question": "Who built Alex Yoong's Formula 1 car during the 2001 Drivers and Constructors 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": [
"9.1"
],
"style": "rule"
} | {
"answer": [
"9.1"
],
"id": "wikisql-34875",
"question": "Consider the Kansas City Brigade's 2006 receiving season. What is the sum of the averages with a long value of 32?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34876",
"question": "What is the highest TD's with less than 15 yards and less than 1 rec. 2006 Kansas City Brigade Reception 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": [
"6DB"
],
"style": "rule"
} | {
"answer": [
"6DB"
],
"id": "wikisql-34886",
"question": "What class is a LNER class of d8 among the Locomotives of the London and North Eastern Railway (1886–1893)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"D8"
],
"style": "rule"
} | {
"answer": [
"D8"
],
"id": "wikisql-34887",
"question": "What is the LNER class of Locomotives on the London and North Eastern Railway that has a class of 6 dB (1886–1893)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"F1"
],
"style": "rule"
} | {
"answer": [
"F1"
],
"id": "wikisql-34888",
"question": "Which LNER class has a class of 3 among the Locomotives of the London and North Eastern Railway (1886–1893)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34889",
"question": "What middle pick number had a Reg GP of 0 and a Pl GP greater than 0 for the 1973 List of Vancouver Canucks 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-34890",
"question": "From the 1973 Vancouver Canucks draft pick list, which was the top pick with numbers that had a street number less than 6, Bob Dailey featured as a player and had a Reg GP greater than 257 was ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34891",
"question": "From the Vancouver Canucks list of draft picks, what is the total number of GP Pls among the 1973 drafts when the Reg GP was 0, the Rd number was greater than 8 and the pick number was greater than 146?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 South Carolina"
],
"style": "rule"
} | {
"answer": [
"Lost South Carolina"
],
"id": "wikisql-34892",
"question": "From the list of presidential candidates of the major parties of the United States who lost their state of home or residence, what was the state of birth of Charles Cotesworth Pinckney, who was elected in 1808?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25 April 1964"
],
"style": "rule"
} | {
"answer": [
"25 April 1964"
],
"id": "wikisql-34894",
"question": "On what day does the home team score 8.13 (61) in Round 2 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": [
"4.13 (37)"
],
"style": "rule"
} | {
"answer": [
"4.13 (37)"
],
"id": "wikisql-34898",
"question": "How many points did the away team score in the 12th round of Arden Street Oval in 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": [
"Western Oval"
],
"style": "rule"
} | {
"answer": [
"Western Oval"
],
"id": "wikisql-34899",
"question": "At which location does Footscray play in the 12th 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": [
"May 10"
],
"style": "rule"
} | {
"answer": [
"May 10"
],
"id": "wikisql-34904",
"question": "tell me the date for 2007/08 season orlando magic if detroit and play more than 3 playoffs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"@ Detroit"
],
"id": "wikisql-34905",
"question": "Name the 2007-08 Orlando Magic season team with high assists from Nelson (5) in the playoffs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"72–91"
],
"style": "rule"
} | {
"answer": [
"72–91"
],
"id": "wikisql-34906",
"question": "What's the score for Howard's (8) high rebounds for the 2007-08 season of the Orlando Magic Playoffs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12–30"
],
"style": "rule"
} | {
"answer": [
"12–30"
],
"id": "wikisql-34917",
"question": "Which record among the 2007-08 Memphis Grizzlies has a magic visitor in January?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"103–84"
],
"style": "rule"
} | {
"answer": [
"103–84"
],
"id": "wikisql-34918",
"question": "What is a January result for a Grizzlies home and leading scorer by Rudy Gay (18) for the 2007-08 Memphis Grizzlies 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": [
"Rudy Gay (30)"
],
"style": "rule"
} | {
"answer": [
"Rudy Gay (30)"
],
"id": "wikisql-34919",
"question": "Which top scorer has a Home of Grizzlies and a 10–28 record for 2007–08 in January of the Memphis Grizzlies 2007–08 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": [
"St Kilda"
],
"style": "rule"
} | {
"answer": [
"St Kilda"
],
"id": "wikisql-34920",
"question": "If the away team's score was 15.20 (110), what did the home team play in round 5 of the 1974 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": [
"4 May 1974"
],
"style": "rule"
} | {
"answer": [
"4 May 1974"
],
"id": "wikisql-34921",
"question": "When was the date of the game when the away team's score for the fifth round of the 1974 VFL season was 15.20 (110)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 May 1974"
],
"style": "rule"
} | {
"answer": [
"4 May 1974"
],
"id": "wikisql-34922",
"question": "Considering the 1974 VFL season when the away team was Carlton what date did they play round 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-34923",
"question": "How many people were in the crowd when the away team scored 15.20 (110) in round 5 of the 1974 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": [
"3R"
],
"style": "rule"
} | {
"answer": [
"3R"
],
"id": "wikisql-34930",
"question": "What is the value of 2007 with 1r in 2011 and 1r in 2010 for Jan Hájek (Tennis)'s Grand Slam Singles Performance Timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1R"
],
"style": "rule"
} | {
"answer": [
"1R"
],
"id": "wikisql-34931",
"question": "What is the value of 2012 with 1r in 2010 and 2r in 2006 for Jan Hájek (Tennis) in Grand Slam individual performance timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2R"
],
"style": "rule"
} | {
"answer": [
"2R"
],
"id": "wikisql-34932",
"question": "What is the value for Australian Open 2010 in Jan Hájek (Tennis)'s Grand Slam Singles Performance Timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2R"
],
"style": "rule"
} | {
"answer": [
"2R"
],
"id": "wikisql-34933",
"question": "What is the 2006 value of 2009 A value, 2011 A value and A as 2007 value for Jan Hájek (Tennis) in Grand Slam individual performance timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"A"
],
"style": "rule"
} | {
"answer": [
"A"
],
"id": "wikisql-34934",
"question": "What is the value of 2006 with 3r in 2007 under Jan Hájek (Tennis) in Grand Slam Singles performance timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"106"
],
"style": "rule"
} | {
"answer": [
"106"
],
"id": "wikisql-34935",
"question": "What is the 2012 value at 479 in 2008 for Jan Hájek (Tennis) in the 2012 Grand Slam Singles performance timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Fitzroy"
],
"style": "rule"
} | {
"answer": [
"Fitzroy"
],
"id": "wikisql-34941",
"question": "If the away team is Footscray, what is the home team playing in round 15 of the 1977 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": [
"34291"
],
"style": "rule"
} | {
"answer": [
"34291"
],
"id": "wikisql-34942",
"question": "From the 1977 VFL season when the home team scored 14.16 (100), what was the total of the Crowds' Round 15?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"27042.0"
],
"style": "rule"
} | {
"answer": [
"27042.0"
],
"id": "wikisql-34943",
"question": "What is the average number of people in the crowd attending Essendon games as the home team in round 15 of the 1977 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": [
"South Melbourne"
],
"style": "rule"
} | {
"answer": [
"South Melbourne"
],
"id": "wikisql-34944",
"question": "Which away team will play in the 15th round of the 1977 VFL season at Venue vfl Park?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Level 2; Success"
],
"style": "rule"
} | {
"answer": [
"Level 2; Success"
],
"id": "wikisql-34950",
"question": "In the space chronology of Pakistan's missile tests per year, what is the result of a rehnuma-11 missile launch?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"SUPARCO"
],
"style": "rule"
} | {
"answer": [
"SUPARCO"
],
"id": "wikisql-34951",
"question": "What institutional authority has one rehnuma-10 missile launch per year in Pakistan's space missile testing chronology?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Judi Dart"
],
"style": "rule"
} | {
"answer": [
"Judi Dart"
],
"id": "wikisql-34952",
"question": "Which derivative has a launch date of July 15, 1970; 15:05 GMT under space chronology of Pakistan's missile tests by year?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Level 1; Success"
],
"style": "rule"
} | {
"answer": [
"Level 1; Success"
],
"id": "wikisql-34953",
"question": "Which result has a start date of March 18, 1964; 14:50 GMT under space chronology of Pakistan's missile tests by year?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Aeronomy"
],
"style": "rule"
} | {
"answer": [
"Aeronomy"
],
"id": "wikisql-34954",
"question": "Which mission has a start date of December 30, 1970; 14:50 GMT under space chronology of Pakistan's missile tests by year?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Portland Trail Blazers"
],
"style": "rule"
} | {
"answer": [
"Portland Trail Blazers"
],
"id": "wikisql-34956",
"question": "Which team was the guest on 3./2. March of the 2007-08 season of the Golden State Warriors?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Aditya Madkekar"
],
"style": "rule"
} | {
"answer": [
"Aditya Madkekar"
],
"id": "wikisql-34989",
"question": "Who is the opponent in the singles title final on hard surface with a score of 6-3 7-6(5) for Aqeel Khan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Toshiaki Sakai",
"Divij Sharan"
],
"style": "rule"
} | {
"answer": [
"Toshiaki Sakai",
"Divij Sharan"
],
"id": "wikisql-34990",
"question": "Who is Aqeel Khan's opponent in the singles titles of the Tournament of Lahore final?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 August 2004"
],
"style": "rule"
} | {
"answer": [
"22 August 2004"
],
"id": "wikisql-34991",
"question": "What date did Aqeel Khan's Toshiaki Sakai play in the singles title final on a grass field?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Grass"
],
"style": "rule"
} | {
"answer": [
"Grass"
],
"id": "wikisql-34992",
"question": "On what surface did the Tournament of Lahore score 4-6 6-3 6-4 for Aqeel Khan's singles title?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lahore"
],
"style": "rule"
} | {
"answer": [
"Lahore"
],
"id": "wikisql-34993",
"question": "Which tournament did Toshiaki Sakai face as an opponent in the final on a grass field for Aqeel Khan's singles title?",
"split": "train"
} |
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