data_source stringclasses 1
value | agent_name stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|---|
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-35284",
"question": "What is the first prize for the person who has a score of 207 (-9) and a purse amount of more than 800,000 under the 1996 Senior PGA Tour tournament 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": [
"North Melbourne"
],
"style": "rule"
} | {
"answer": [
"North Melbourne"
],
"id": "wikisql-35292",
"question": "Which away team played against the home team that scored 8.8 (56) in round 13 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": [
"9.14 (68)"
],
"style": "rule"
} | {
"answer": [
"9.14 (68)"
],
"id": "wikisql-35293",
"question": "What did the away team score when they played Fitzroy in round 13 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": [
"Kardinia Park"
],
"style": "rule"
} | {
"answer": [
"Kardinia Park"
],
"id": "wikisql-35294",
"question": "Where was the away team playing when they scored 12.13 (85) in round 13 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": [
"Fitzroy"
],
"style": "rule"
} | {
"answer": [
"Fitzroy"
],
"id": "wikisql-35296",
"question": "What was the team name of the 12th round of the 1936 VFL season when the away team had a score of 14.11 (95)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16000"
],
"style": "rule"
} | {
"answer": [
"16000"
],
"id": "wikisql-35298",
"question": "What was the smallest crowd when the away team scored 10.18 (78) in a Round 16 of the 1946 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-35299",
"question": "On what date of the 1946 VFL season was the crowd greater than 16,000 people and the away team scored 8.11 (59) in round 16?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Punt Road Oval"
],
"style": "rule"
} | {
"answer": [
"Punt Road Oval"
],
"id": "wikisql-35300",
"question": "What was the venue for the 16th round of the 1946 VFL season when the home team scored 18.9 (117)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19500"
],
"style": "rule"
} | {
"answer": [
"19500"
],
"id": "wikisql-35304",
"question": "What was the total viewership in round 9 of the 1966 VFL season when an away team scored 9.9 (63)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-35305",
"question": "Which away team had a score of 4.13 (37) in round 9 of the 1966 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": [
"9.9 (63)"
],
"style": "rule"
} | {
"answer": [
"9.9 (63)"
],
"id": "wikisql-35306",
"question": "What is the away team's score at the Glenferrie Oval in round 9 of the 1966 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": [
"Orewa",
"Orewa",
"Stanmore Bay"
],
"style": "rule"
} | {
"answer": [
"Orewa",
"Orewa",
"Stanmore Bay"
],
"id": "wikisql-35344",
"question": "Which area is the school with a decile of 8 in the list of schools in the Auckland Region Hibiscus and Bays Local Board?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Long Bay School"
],
"style": "rule"
} | {
"answer": [
"Long Bay School"
],
"id": "wikisql-35345",
"question": "From the list of schools in the Auckland Region Hibiscus and Bays Local Board, which school has a state authority and a list of 318 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Torbay"
],
"style": "rule"
} | {
"answer": [
"Torbay"
],
"id": "wikisql-35346",
"question": "In the list of schools in the Auckland Region Hibiscus and Bays Local Board, in which area is Torbay School located with a State Authority?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Summer In The City"
],
"style": "rule"
} | {
"answer": [
"Summer In The City"
],
"id": "wikisql-35356",
"question": "What is the name of the first appearance where Chad Williams is a character among the notable villains in the CSI: NY Character 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": [
"Ethan Scott (aka Joe)"
],
"style": "rule"
} | {
"answer": [
"Ethan Scott (aka Joe)"
],
"id": "wikisql-35357",
"question": "From the list of CSI: NY characters, which character is portrayed by Elias Koteas. Question: Notable villains?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14.13 (97)"
],
"style": "rule"
} | {
"answer": [
"14.13 (97)"
],
"id": "wikisql-35358",
"question": "What is the home team's result at VFL Park in round 10 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": [
"9.14 (68)"
],
"style": "rule"
} | {
"answer": [
"9.14 (68)"
],
"id": "wikisql-35359",
"question": "What is the home team's Round 10 result for the 1974 VFL season at Windy Hill?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 June 1974"
],
"style": "rule"
} | {
"answer": [
"8 June 1974"
],
"id": "wikisql-35360",
"question": "When is Carlton the away team in round 10 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": [
"12054"
],
"style": "rule"
} | {
"answer": [
"12054"
],
"id": "wikisql-35361",
"question": "Which crowd in the 1974 VFL season had the fewest people with a home team score of 9.13 (67) 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": [
"8 June 1974"
],
"style": "rule"
} | {
"answer": [
"8 June 1974"
],
"id": "wikisql-35362",
"question": "On what date did the VFL Round 10 home team score 9.13 (67) 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": [
"18.11 (119)"
],
"style": "rule"
} | {
"answer": [
"18.11 (119)"
],
"id": "wikisql-35371",
"question": "What is the away team's score for the game in which the home team scored 19.16 (130) in round 1 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": [
"21.15 (141)"
],
"style": "rule"
} | {
"answer": [
"21.15 (141)"
],
"id": "wikisql-35372",
"question": "What was the away team score for the game played at MCG in Round 1 of the VFL season in 1977?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19.16 (130)"
],
"style": "rule"
} | {
"answer": [
"19.16 (130)"
],
"id": "wikisql-35373",
"question": "From the 1977 season of the VFL, what was the result of the home team at Victoria Park in 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": [
"25-8"
],
"style": "rule"
} | {
"answer": [
"25-8"
],
"id": "wikisql-35374",
"question": "What is the score at Shay Stadium among Bradford Bulls 2002 season games and 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": [
"W"
],
"style": "rule"
} | {
"answer": [
"W"
],
"id": "wikisql-35375",
"question": "What are the Bradford Bulls 2002 season games and results, valley parade 4/7/02?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Super League VII"
],
"style": "rule"
} | {
"answer": [
"Super League VII"
],
"id": "wikisql-35376",
"question": "Among 2002 Bradford Bulls games and results, which competition has a goal score of 8/8 and a score of 32-14?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"27 March 1935"
],
"style": "rule"
} | {
"answer": [
"27 March 1935"
],
"id": "wikisql-35381",
"question": "What is intended for the Hyperion ship among the G and H class destroyers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hostile"
],
"style": "rule"
} | {
"answer": [
"Hostile"
],
"id": "wikisql-35382",
"question": "What is the name of the ship with the pennant number h55 among the G and H class destroyers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"211 crore ()"
],
"style": "rule"
} | {
"answer": [
"211 crore ()"
],
"id": "wikisql-35383",
"question": "From the list of highest grossing Bollywood movies, how did Jab Tak Hai Jaan movie gross worldwide?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2013.0"
],
"style": "rule"
} | {
"answer": [
"2013.0"
],
"id": "wikisql-35384",
"question": "In list of highest grossing Bollywood films worldwide, what is the average year for Ayan Mukerji?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12.8 (80)"
],
"style": "rule"
} | {
"answer": [
"12.8 (80)"
],
"id": "wikisql-35385",
"question": "When Melbourne was the home team what was their result in the fourth 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": [
"20.10 (130)"
],
"style": "rule"
} | {
"answer": [
"20.10 (130)"
],
"id": "wikisql-35389",
"question": "When the visiting team scored 21.11 (137) in the 6th round of the 1970 VFL season, what was the result for the home 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": [
"11.11 (77)"
],
"style": "rule"
} | {
"answer": [
"11.11 (77)"
],
"id": "wikisql-35390",
"question": "What was the away team's score in round 6 at Kardinia Park in 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": [
"21139"
],
"style": "rule"
} | {
"answer": [
"21139"
],
"id": "wikisql-35391",
"question": "What was the biggest round 6 attendance of the 1970 VFL season at Kardinia 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": [
"Scuderia Ferrari",
"Scuderia Ferrari",
"Scuderia Ferrari"
],
"style": "rule"
} | {
"answer": [
"Scuderia Ferrari",
"Scuderia Ferrari",
"Scuderia Ferrari"
],
"id": "wikisql-35402",
"question": "Which competitor has the Ferrari 038 3.5 v12 engine for the drivers and constructors of the 1992 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": [
"19000.0"
],
"style": "rule"
} | {
"answer": [
"19000.0"
],
"id": "wikisql-35409",
"question": "What was the average attendance at Round 1 of the 1975 VFL season at Victoria 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": [
"14417"
],
"style": "rule"
} | {
"answer": [
"14417"
],
"id": "wikisql-35410",
"question": "What is the attendance of the first round match with North Melbourne away in 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": [
"Carlton"
],
"style": "rule"
} | {
"answer": [
"Carlton"
],
"id": "wikisql-35412",
"question": "Which team was the home team against Melbourne in round 18 of the 1941 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": [
"16.14 (110)"
],
"style": "rule"
} | {
"answer": [
"16.14 (110)"
],
"id": "wikisql-35413",
"question": "What was the home team's score in Round 18 when the away team scored 13.17 (95) in the 1941 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-35414",
"question": "Which team is home to Lake Oval in Round 3 of the 1972 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": [
"14.10 (94)"
],
"style": "rule"
} | {
"answer": [
"14.10 (94)"
],
"id": "wikisql-35415",
"question": "What did the home team score when Carlton played away in round 3 of the 1972 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": [
"20499"
],
"style": "rule"
} | {
"answer": [
"20499"
],
"id": "wikisql-35416",
"question": "How many people attended the home game for South Melbourne in Round 3 of the 1972 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": [
"15.17 (107)"
],
"style": "rule"
} | {
"answer": [
"15.17 (107)"
],
"id": "wikisql-35417",
"question": "What was the home team's result for Round 3 of the 1972 VFL season at 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": [
"South Melbourne"
],
"style": "rule"
} | {
"answer": [
"South Melbourne"
],
"id": "wikisql-35426",
"question": "Tell me the away team for the Western Oval fourth round venue 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": [
"9.15 (69)"
],
"style": "rule"
} | {
"answer": [
"9.15 (69)"
],
"id": "wikisql-35427",
"question": "Tell me the away team's score for April 27, 1974 and mcg's placing in the 4th round 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": [
"Melbourne"
],
"style": "rule"
} | {
"answer": [
"Melbourne"
],
"id": "wikisql-35428",
"question": "I want to see away team having home team richmond vfl season round 4 1974?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20000"
],
"style": "rule"
} | {
"answer": [
"20000"
],
"id": "wikisql-35433",
"question": "What is the lowest crowd at Windy Hill for round 13 of the 1947 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": [
"12000.0"
],
"style": "rule"
} | {
"answer": [
"12000.0"
],
"id": "wikisql-35434",
"question": "What is the crowd with a home team score of 8.17 (65) for Round 13 of the 1947 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": [
"12.12 (84)"
],
"style": "rule"
} | {
"answer": [
"12.12 (84)"
],
"id": "wikisql-35435",
"question": "Which home team has an away team score of 11.12 (78) in the 13th round of the 1947 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": [
"12 July 1947"
],
"style": "rule"
} | {
"answer": [
"12 July 1947"
],
"id": "wikisql-35436",
"question": "Which date has a crowd greater than 12,000 and an away team score of 9.16 (70) in the 13th round of the 1947 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": [
"28000"
],
"style": "rule"
} | {
"answer": [
"28000"
],
"id": "wikisql-35437",
"question": "What is the lowest attendance at home team Richmond for round 13 of the 1947 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-35438",
"question": "Which home team in the 1947 VFL season has an away team score of 6.9 (45) in round 13?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-35443",
"question": "NGA 6401 6500 objects from the list of (6001-7000 objects), what is the total number of NGCs with a declination (J2000) of °15′55″ and an apparent magnitude greater than 10?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Globular cluster"
],
"style": "rule"
} | {
"answer": [
"Globular cluster"
],
"id": "wikisql-35444",
"question": "Which object from the list of NGC objects (6001-7000) has an apparent magnitude greater than 9.6 and a right ascension (J2000) of 17h59m02.0s in object 6401 6500?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-35450",
"question": "Name the wide receivers for the lowest yards for the 2007 season-low 34 long and averaging less than 12.6 for the 2007 Dallas Desperados. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9-10"
],
"style": "rule"
} | {
"answer": [
"9-10"
],
"id": "wikisql-35463",
"question": "None of the rounds during the 1973 Drivers' and Constructors' Championship has Roger Williamson as a driver in the 1973 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": [
"North Melbourne"
],
"style": "rule"
} | {
"answer": [
"North Melbourne"
],
"id": "wikisql-35469",
"question": "Since the 1936 VFL season, who has been the away team in Melbourne's round 16 home game?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 (44)"
],
"style": "rule"
} | {
"answer": [
"6.8 (44)"
],
"id": "wikisql-35470",
"question": "What was the away team result of the 1936 VFL season in round 16 at Corio 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": [
"22 August 1936"
],
"style": "rule"
} | {
"answer": [
"22 August 1936"
],
"id": "wikisql-35471",
"question": "When did the away team score 12.14 (86) in the 1936 VFL season, round 16?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikisql-35477",
"question": "What is the lowest number of wins in 2008 for someone with 2 losses in the Mid Gippsland Football League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"8"
],
"id": "wikisql-35478",
"question": "What is the greatest win count for someone who has an equivalent of more than 1249 and a loss count of less than 17 for the 2008 Mid Gippsland Football League Ladder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"VI International Gold Cup"
],
"style": "rule"
} | {
"answer": [
"VI International Gold Cup"
],
"id": "wikisql-35479",
"question": "What are the results of the non-championship races in the 1959 Formula One season that has a winning driver from Stirling Moss and a circuit from Oulton 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": [
"Ron Flockhart"
],
"style": "rule"
} | {
"answer": [
"Ron Flockhart"
],
"id": "wikisql-35480",
"question": "Who is the winning driver with a brm design among the non-championship race results of the 1959 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": [
"South Melbourne"
],
"style": "rule"
} | {
"answer": [
"South Melbourne"
],
"id": "wikisql-35482",
"question": "In 1932 VFL season, round 14, when Footscray scored 11.14 (80), which away team score?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 (69-70-73-64=276)"
],
"style": "rule"
} | {
"answer": [
"–12 (69-70-73-64=276)"
],
"id": "wikisql-35483",
"question": "What was the winning result in David Duval's PGA Tour wins (13) on May 3, 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": [
"December 29"
],
"style": "rule"
} | {
"answer": [
"December 29"
],
"id": "wikisql-35494",
"question": "What was the date of the Lehtonen decision game attended by more than 17,731 people for the Atlanta Thrashers 2007-08 season in December?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-35496",
"question": "Who was the away team at mcg in round 2 of the 1967 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": [
"Carlton"
],
"style": "rule"
} | {
"answer": [
"Carlton"
],
"id": "wikisql-35497",
"question": "Who was the second round home team in the 1967 VFL season at Princes 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": [
"05h57m39.7s"
],
"style": "rule"
} | {
"answer": [
"05h57m39.7s"
],
"id": "wikisql-35499",
"question": "Which right ascension (J2000) has a Mensa constellation and an NGC number greater than 2171 among the 2101 2200 of the list of NGC objects (2001–3000)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Open cluster"
],
"style": "rule"
} | {
"answer": [
"Open cluster"
],
"id": "wikisql-35501",
"question": "Among the list of 2101 2200 object types, which list of NGC objects (2001–3000) has an NGC number of 2171?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-35515",
"question": "What are the places in the 1979 World Men's Figure Skating Championships under the Soviet Union if she has a rank higher than 11?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Vladimir Kovalev"
],
"style": "rule"
} | {
"answer": [
"Vladimir Kovalev"
],
"id": "wikisql-35516",
"question": "The men's skating title name when the nation is the Soviet Union and the points at the 1979 World Figure Skating Championships are 185 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-35518",
"question": "Which home team does an away team from Collingwood have in round 7 of the 1937 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-35519",
"question": "In the 2009 Mid Gippsland Football League ladder, report the lowest value when wins are greater than 14, ties are 0 and losses are 4, ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-35520",
"question": "Under Mid Gippsland Football League, report total against byes less than 0 for 2009 ladder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-35521",
"question": "What is the sum of ties for losses less than 2 and wins less than 16 for the 2009 Mid Gippsland Football League Ladder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ford Cosworth DFV 3.0 V8"
],
"style": "rule"
} | {
"answer": [
"Ford Cosworth DFV 3.0 V8"
],
"id": "wikisql-35534",
"question": "Which engine was driven by Jean-Pierre Jarier and has a PC4 chassis for the drivers and constructors of the 1977 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": [
"14.10 (94)"
],
"style": "rule"
} | {
"answer": [
"14.10 (94)"
],
"id": "wikisql-35544",
"question": "What was the result of the home team when the VFL played at the Western Oval in round 19 of the 1969 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": [
"St Kilda"
],
"style": "rule"
} | {
"answer": [
"St Kilda"
],
"id": "wikisql-35545",
"question": "Who was North Melbourne's home opponent in the 19th round of the 1969 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": [
"20.7 (127)"
],
"style": "rule"
} | {
"answer": [
"20.7 (127)"
],
"id": "wikisql-35546",
"question": "What was the home team's Round 19 result when the VFL played at Princes Park in 1969?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Michael Schumacher"
],
"style": "rule"
} | {
"answer": [
"Michael Schumacher"
],
"id": "wikisql-35551",
"question": "Who was the winning driver when the pole position was Jenson Button, the fastest lap was Michael Schumacher and the car was Ferrari in the Grand Prix of the 2004 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": [
"Jenson Button"
],
"style": "rule"
} | {
"answer": [
"Jenson Button"
],
"id": "wikisql-35552",
"question": "What was the pole position at the San Marino Grand Prix with Michael Schumacher as the winning driver of the 2004 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": [
"British Grand Prix"
],
"style": "rule"
} | {
"answer": [
"British Grand Prix"
],
"id": "wikisql-35553",
"question": "Can you name the Grand Prix for Kimi Raikkonen's pole position in the 2004 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": [
"North Melbourne"
],
"style": "rule"
} | {
"answer": [
"North Melbourne"
],
"id": "wikisql-35563",
"question": "What is the away team at Victoria Park in the 8th round of the 1935 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": [
"Glenferrie Oval"
],
"style": "rule"
} | {
"answer": [
"Glenferrie Oval"
],
"id": "wikisql-35564",
"question": "Which venue scored an away team 17.14 (116) in round 8 of the 1935 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": [
"Footscray"
],
"style": "rule"
} | {
"answer": [
"Footscray"
],
"id": "wikisql-35565",
"question": "Which away team comes from Junction Oval in round 8 of the 1935 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": [
"10.16 (76)"
],
"style": "rule"
} | {
"answer": [
"10.16 (76)"
],
"id": "wikisql-35566",
"question": "Which away team score has a home team score of 13.12 (90) in the 8th round of the 1935 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 July 1973"
],
"style": "rule"
} | {
"answer": [
"20 July 1973"
],
"id": "wikisql-35575",
"question": "What is the date of birth of the West Indies 1998 ICC KnockOut Trophy fast style right arm player?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5 June 1974"
],
"style": "rule"
} | {
"answer": [
"5 June 1974"
],
"id": "wikisql-35577",
"question": "What is the 1998 ICC KnockOut Trophy birthdate for Mervyn Dillon West Indies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"VANOC"
],
"style": "rule"
} | {
"answer": [
"VANOC"
],
"id": "wikisql-35590",
"question": "Among the Canada Post 2009 (2005–09) stamp issues, which stamp design has a face value of $1.18?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 January 2009"
],
"style": "rule"
} | {
"answer": [
"12 January 2009"
],
"id": "wikisql-35592",
"question": "On what date was the John Belisle, Kosta Tsetsekas stamp issued for the Canada Post stamp issues (2005–09) in 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Brigus, Newfoundland and Labrador"
],
"style": "rule"
} | {
"answer": [
"Brigus, Newfoundland and Labrador"
],
"id": "wikisql-35593",
"question": "What is the First Day Cover cancellation for the Karen Smith Design stamp in Canada Post's 2009 stamp issues (2005–09)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lenticular"
],
"style": "rule"
} | {
"answer": [
"Lenticular"
],
"id": "wikisql-35599",
"question": "What is the n-type object type if the right ascension is (j2000) 11h10m42.8s among the list of NGC objects (3001-4000) 3001-3600 3501-3600?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"°47′12″"
],
"style": "rule"
} | {
"answer": [
"°47′12″"
],
"id": "wikisql-35600",
"question": "What is the declination (j2000) if the ngc number in the list of NGC objects (3001-4000) 3501-3600 is higher than 3593?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11h11m49.8s"
],
"style": "rule"
} | {
"answer": [
"11h11m49.8s"
],
"id": "wikisql-35602",
"question": "From the list of NGC objects (3001-4000), what is the right ascension (j2000) when the ngc number is 3576 3501-3600?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1960"
],
"style": "rule"
} | {
"answer": [
"1960"
],
"id": "wikisql-35611",
"question": "What is the date of the description of British Rail's Class 111 tslrb in the Great Central Railway's List of Locomotives and Rolling Stock: Diesel and Electric Multiple Units?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Undergoing overhaul, restoration or repairs"
],
"style": "rule"
} | {
"answer": [
"Undergoing overhaul, restoration or repairs"
],
"id": "wikisql-35612",
"question": "What is the number and name with a date for overhaul, restoration or repair on Great Central Railway locomotives and rolling diesel and electric multiple units?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"No. W79976"
],
"style": "rule"
} | {
"answer": [
"No. W79976"
],
"id": "wikisql-35613",
"question": "What is the number and name of the 1958 livery in the List of Great Central Railway locomotives and rolling diesel and electric multiple units?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-35628",
"question": "Who were South Melbourne's away team opponents in Round 17 of the 1980 VFL season?",
"split": "train"
} |
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