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": [
"11.15 (81)"
],
"style": "rule"
} | {
"answer": [
"11.15 (81)"
],
"id": "wikisql-30585",
"question": "Which away team score also has a home team score of 12.15 (87) from round 6 of the 1940 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-30586",
"question": "What is the score of the home team with Fitzroy away in the 6th round of the 1940 VFL season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hawthorn"
],
"style": "rule"
} | {
"answer": [
"Hawthorn"
],
"id": "wikisql-30587",
"question": "What is the home team of the 6th round of the 1940 VFL season at Glenferrie 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-30591",
"question": "Where is the highest rank in the 1988 Senior PGA Tour with over $533,929 for Players of Leaders?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Orville Moody"
],
"style": "rule"
} | {
"answer": [
"Orville Moody"
],
"id": "wikisql-30592",
"question": "Which player has 3 wins and is among the leaders above 3rd place on the 1988 Senior PGA Tour?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1 – 3"
],
"style": "rule"
} | {
"answer": [
"1 – 3"
],
"id": "wikisql-30623",
"question": "What is the result for the Eastern Conference Quarterfinals: vs. (1) New Jersey Devils 1997-98 season Ottawa Senators on May 2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ottawa"
],
"style": "rule"
} | {
"answer": [
"Ottawa"
],
"id": "wikisql-30624",
"question": "Among the 1997-98 Ottawa Senators Eastern Conference Quarterfinals: vs. (1) New Jersey Devils, which city hosted on April 30?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"New Jersey"
],
"style": "rule"
} | {
"answer": [
"New Jersey"
],
"id": "wikisql-30626",
"question": "Among the 1997-98 Eastern Conference Quarterfinals vs. 1 New Jersey Devils' Ottawa Senators, which visitor has Ottawa as their home and a date of April 26?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ettore Puricelli Aldo Boffi"
],
"style": "rule"
} | {
"answer": [
"Ettore Puricelli Aldo Boffi"
],
"id": "wikisql-30631",
"question": "Who belongs to club Bologna Milan among the top scorers in Serie A?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1:27.56.85"
],
"style": "rule"
} | {
"answer": [
"1:27.56.85"
],
"id": "wikisql-30637",
"question": "What is the time of the 102.962mph rider among the 2007 Manx Grand Prix rookies in Race A?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"James McCann"
],
"style": "rule"
} | {
"answer": [
"James McCann"
],
"id": "wikisql-30638",
"question": "Who is the driver who clocked 1:27:37:22 in Newcomers Race A of the 2007 Manx Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Paul Gartland"
],
"style": "rule"
} | {
"answer": [
"Paul Gartland"
],
"id": "wikisql-30639",
"question": "Who is the 2007 Manx Grand Prix 2007 Manx Grand Prix Race A newcomer rider with a finish under 10 and a time of 1:26.31.20?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"31 May"
],
"style": "rule"
} | {
"answer": [
"31 May"
],
"id": "wikisql-30640",
"question": "What is the date of the 1954 Formula 1 season in season review, what date was the Circuit of Indianapolis?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Maserati"
],
"style": "rule"
} | {
"answer": [
"Maserati"
],
"id": "wikisql-30641",
"question": "Who was the constructor at the Argentine Grand Prix in the 1954 Formula 1 season recap?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"31 May"
],
"style": "rule"
} | {
"answer": [
"31 May"
],
"id": "wikisql-30642",
"question": "What was the date of the Circuit of Indianapolis in 1954 Formula 1. Season review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Juan Manuel Fangio"
],
"style": "rule"
} | {
"answer": [
"Juan Manuel Fangio"
],
"id": "wikisql-30643",
"question": "Who was the winning driver of the Argentine Grand Prix in the 1954 Formula One season in review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Report",
"Report",
"Report"
],
"style": "rule"
} | {
"answer": [
"Report",
"Report",
"Report"
],
"id": "wikisql-30644",
"question": "What was C's reported Juan Manuel Fangio pole position and tire for the 1954 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": [
"Kevin Nickerson"
],
"style": "rule"
} | {
"answer": [
"Kevin Nickerson"
],
"id": "wikisql-30647",
"question": "Who has 8 longs and 73 yards in the Austin Wranglers 2006 running back roster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-30648",
"question": "Who has the highest long with 26 yards and under 9 cars among running backs of the 2006 Austin Wranglers season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"24"
],
"style": "rule"
} | {
"answer": [
"24"
],
"id": "wikisql-30649",
"question": "Who has the most 59-car longs among the running backs of the 2006 Austin Wranglers 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": [
"Wanda Rijo ( DOM )"
],
"style": "rule"
} | {
"answer": [
"Wanda Rijo ( DOM )"
],
"id": "wikisql-30658",
"question": "Which person among the weightlifters at the 1999 Pan American Games in the 75 kg heavyweight division has a body weight of 73.6 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-30659",
"question": "What was the total for the player with snatches greater than 87.5 and bodyweight greater than 74.8 in weightlifting at the 1999 Pan American Games heavyweight (75 kg)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-30660",
"question": "What bodyweight for the player with a clean & jerk score of 82.5 and a total score of less than 152.5 belongs to weightlifting in the heavyweight division (75 kg) of the 1999 Pan American Games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6.10 (46)"
],
"style": "rule"
} | {
"answer": [
"6.10 (46)"
],
"id": "wikisql-30661",
"question": "Name home team when away team was Essendon in 1908 VFL season 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": [
"7.14 (56)"
],
"style": "rule"
} | {
"answer": [
"7.14 (56)"
],
"id": "wikisql-30662",
"question": "Under the 10th round of the 1908 VFL season, give away team score for university 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": [
"Victoria Park"
],
"style": "rule"
} | {
"answer": [
"Victoria Park"
],
"id": "wikisql-30663",
"question": "Name the venue of the 10th round of the 1908 VFL season for the Geelong 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": [
"MCG"
],
"style": "rule"
} | {
"answer": [
"MCG"
],
"id": "wikisql-30664",
"question": "Name the venue when the away team was in Richmond in the 10th round of the 1908 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": [
"12.9 (81)"
],
"style": "rule"
} | {
"answer": [
"12.9 (81)"
],
"id": "wikisql-30666",
"question": "When the venue was Brunswick Street Oval, what was the home team's result in Round 3 of the 1945 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-30667",
"question": "In the 1945 VFL season, when the away team scored 10.15 (75) and the crowd was over 20,000 people, what did the home team play in Round 3?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"22.18 (150)"
],
"style": "rule"
} | {
"answer": [
"22.18 (150)"
],
"id": "wikisql-30668",
"question": "When the away team scored 7.8 (50), what was the opposing team's score in the third round of the 1945 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-30669",
"question": "When the away team scored 14.14 (98) for the 1945 VFL season Round 3, who was the home team that played?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-30670",
"question": "If the home team scored 14.15 (99), then who was the away team in Round 3 of the 1945 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 May 1981"
],
"style": "rule"
} | {
"answer": [
"9 May 1981"
],
"id": "wikisql-30673",
"question": "On what day did Collingwood play as the home team in the seventh round of the 1981 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-30674",
"question": "What was the away team at Princes Park for Round 7 of the 1981 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-30675",
"question": "Who was Hawthorn's away opponent in Round 7 of the 1981 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": [
"25 May 1940"
],
"style": "rule"
} | {
"answer": [
"25 May 1940"
],
"id": "wikisql-30678",
"question": "During the 1940 VFL season, when was there a fifth round game at Arden Street Oval?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14000"
],
"style": "rule"
} | {
"answer": [
"14000"
],
"id": "wikisql-30679",
"question": "How big was the crowd when Richmond was the away team for the 5th round of the 1940 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-30680",
"question": "Which away team plays at Arden Street Oval in round 5 of the 1940 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-30681",
"question": "How many fans were in Essendon in the 5th round of the 1940 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": [
"Wolverhampton Wanderers"
],
"style": "rule"
} | {
"answer": [
"Wolverhampton Wanderers"
],
"id": "wikisql-30683",
"question": "What was the away team that played against Luton Town in the 1959-60 FA Cup fifth round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"R 20"
],
"style": "rule"
} | {
"answer": [
"R 20"
],
"id": "wikisql-30685",
"question": "Do you call that D 41 when it has D 43 out of r 18 for the composition of the United States Senate of 1970 as a result of the election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12967"
],
"style": "rule"
} | {
"answer": [
"12967"
],
"id": "wikisql-30701",
"question": "What is the listed crowd if the home team's score is 27.13 (175) for Round 20 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": [
"27.13 (175)"
],
"style": "rule"
} | {
"answer": [
"27.13 (175)"
],
"id": "wikisql-30702",
"question": "What is the result of the home team in the 20th round when the VFL season was 1977 when Kilda was away?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-30703",
"question": "Among the 2007-08 Tampa Bay Lightning, none of the above decisions have a Montreal visitor 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": [
"Including Austral"
],
"style": "rule"
} | {
"answer": [
"Including Austral"
],
"id": "wikisql-30705",
"question": "What are the remarks for the entry ranked #2 with a Skyteam alliance (2012) among the list of the largest airlines in South America passengers in 2010?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-30706",
"question": "From the list of airlines in South America that carried the most passengers in 2010, how many airlines have Star Alliance and are present in Brazil?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1995–1996"
],
"style": "rule"
} | {
"answer": [
"1995–1996"
],
"id": "wikisql-30724",
"question": "In which season did the Kingston Wildcats finish 2nd among National League season-over-season records?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"24"
],
"style": "rule"
} | {
"answer": [
"24"
],
"id": "wikisql-30725",
"question": "What value does the game hold for the Kingston Wildcats season-over-season National League records when the division is nbl div2 ranked 12th?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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",
"8"
],
"style": "rule"
} | {
"answer": [
"10",
"8"
],
"id": "wikisql-30726",
"question": "What are the points if the division is ebl div1 with 22 games for Kingston Wildcats in National League season-over-season records?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"22"
],
"style": "rule"
} | {
"answer": [
"22"
],
"id": "wikisql-30727",
"question": "What is the value to the game if the points are 8 and the position is 11th for the Kingston Wildcats season-over-season records in the National 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": [
"Report"
],
"style": "rule"
} | {
"answer": [
"Report"
],
"id": "wikisql-30730",
"question": "What is the reporting status of the Hockenheimring circuit from the 1970 Formula 1 season recap?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jacky Ickx"
],
"style": "rule"
} | {
"answer": [
"Jacky Ickx"
],
"id": "wikisql-30731",
"question": "Who was the winning driver of the race with Clay Regazzoni on fastest lap and Jackie Stewart on pole position for the 1970 Formula 1 season season in review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Canadian Grand Prix"
],
"style": "rule"
} | {
"answer": [
"Canadian Grand Prix"
],
"id": "wikisql-30732",
"question": "Which race did Jacky Ickx have with the winner and Clay Regazzoni with the fastest lap in the season review of the 1970 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": [
"Melbourne"
],
"style": "rule"
} | {
"answer": [
"Melbourne"
],
"id": "wikisql-30738",
"question": "Which home team scored a 15.16 (106) in round 21 of the 1978 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-30739",
"question": "Which away team scored a goal of 15.17 (107) in an away game of the 21st round of the 1978 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": [
"31 July 1971"
],
"style": "rule"
} | {
"answer": [
"31 July 1971"
],
"id": "wikisql-30749",
"question": "When did the Carlton away team play from round 18 of the 1971 VFL season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Arden Street Oval"
],
"style": "rule"
} | {
"answer": [
"Arden Street Oval"
],
"id": "wikisql-30750",
"question": "Where did a home team score 8.14 (62) from the 18th round of the 1971 VFL season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-30762",
"question": "What is the smallest pick among the Vancouver Canucks draft picks with a Reg GP less than 0 in the 2007 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-30763",
"question": "What is the total number of 2007 draft picks with a Reg GP greater than 0 among the 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": [
"46.035"
],
"style": "rule"
} | {
"answer": [
"46.035"
],
"id": "wikisql-30764",
"question": "What is the total score if there is a refusal fault and the rider is HRH Prince Abdullah Al-Soud for the individual competition at the FEI World Equestrian Games 2006, 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-30765",
"question": "What is the total score if the horse is Chippison in the individual competition at the FEI World Equestrian Games 2006, 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": [
"129.69"
],
"style": "rule"
} | {
"answer": [
"129.69"
],
"id": "wikisql-30766",
"question": "What is the total time (s) for the horse Pinot Grigio in the individual competition at the 2006 FEI World Equestrian Games, 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": [
"4.08"
],
"style": "rule"
} | {
"answer": [
"4.08"
],
"id": "wikisql-30767",
"question": "What is the average score in individual competitions at FEI World Equestrian Games 2006 Round 1 when the time (s) is 81.78?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"007"
],
"style": "rule"
} | {
"answer": [
"007"
],
"id": "wikisql-30768",
"question": "Which chassis was driven by Otto Stuppacher among the teams and drivers of the 1976 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": [
"Larry Perkins"
],
"style": "rule"
} | {
"answer": [
"Larry Perkins"
],
"id": "wikisql-30769",
"question": "Who drove the car with the n175 chassis on lap 13 of the teams and drivers of the 1976 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": [
"PC3 PC4"
],
"style": "rule"
} | {
"answer": [
"PC3 PC4"
],
"id": "wikisql-30770",
"question": "Regarding the 1976 Formula 1 season, which chassis did John Watson drive in the list of teams and drivers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10h14m14.7s"
],
"style": "rule"
} | {
"answer": [
"10h14m14.7s"
],
"id": "wikisql-30771",
"question": "For the list of NGC objects 3101–3200, what is the right ascension (j2000) when the constellation is sextant and the declination is (j2000) °28′01″?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ursa Major"
],
"style": "rule"
} | {
"answer": [
"Ursa Major"
],
"id": "wikisql-30772",
"question": "What is the constellation if the right ascension is (J2000) 10h18m58.4s below the list of NGC objects (3001–4000) NGC 3101–3200?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14.12 (96)"
],
"style": "rule"
} | {
"answer": [
"14.12 (96)"
],
"id": "wikisql-30774",
"question": "What is the result of Round 6 of the 1972 VFL season for Collingwood as 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": [
"Geelong"
],
"style": "rule"
} | {
"answer": [
"Geelong"
],
"id": "wikisql-30775",
"question": "Which away team had a score of 14.14 (98) in round 6 of VFL 1972?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"22.15 (147)"
],
"style": "rule"
} | {
"answer": [
"22.15 (147)"
],
"id": "wikisql-30776",
"question": "Considering the 1972 VFL season, what did the home side score in Round 6 of 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": [
"16.16 (112)"
],
"style": "rule"
} | {
"answer": [
"16.16 (112)"
],
"id": "wikisql-30777",
"question": "What is the home team's score when the away team scored 13.12 (90) for round 6 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": [
"6 May 1972"
],
"style": "rule"
} | {
"answer": [
"6 May 1972"
],
"id": "wikisql-30778",
"question": "When did the home team score 14.22 (106) for the 1972 VFL season, round 6?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mats Wilander"
],
"style": "rule"
} | {
"answer": [
"Mats Wilander"
],
"id": "wikisql-30791",
"question": "Who finished second in the 2004 tournament that saw Omar Camporese finish third on the ATP Champions Tour?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Thomas Muster"
],
"style": "rule"
} | {
"answer": [
"Thomas Muster"
],
"id": "wikisql-30792",
"question": "Who finished second on the ATP Champions Tour at the 2004 tournament in London?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6–2, 6–4"
],
"style": "rule"
} | {
"answer": [
"6–2, 6–4"
],
"id": "wikisql-30793",
"question": "What was the result of the tournament in 2004, where Michael Stich took third place on the ATP Champions Tour?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Richard Krajicek"
],
"style": "rule"
} | {
"answer": [
"Richard Krajicek"
],
"id": "wikisql-30794",
"question": "Who finishes third in the tournament with a score of 2-6, 7-6(3), [10-5] at the 2004 ATP Champions Tour?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Richmond"
],
"style": "rule"
} | {
"answer": [
"Richmond"
],
"id": "wikisql-30802",
"question": "What is the name of the home team that played Collingwood in round 10 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": [
"Carlton"
],
"style": "rule"
} | {
"answer": [
"Carlton"
],
"id": "wikisql-30803",
"question": "Which away team played at Windy Hill in round 10 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": [
"9000"
],
"style": "rule"
} | {
"answer": [
"9000"
],
"id": "wikisql-30804",
"question": "How big can the Glenferrie oval be for VFL Round 10 in 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-30805",
"question": "How many spectators can the Brunswick Street Oval hold in Round 10 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": [
"none"
],
"style": "rule"
} | {
"answer": [
"none"
],
"id": "wikisql-30806",
"question": "Which home team for the 10th round of the 1935 VFL season had a score of 26.16 (172) and a venue with more than 19,000 spectators?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-30807",
"question": "What is the lowest number of goals scored by a player in normal league games in which a total of more than 8 goals have been scored among Middlesbrough FC's top scorers of the 2001/02 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": [
"19600"
],
"style": "rule"
} | {
"answer": [
"19600"
],
"id": "wikisql-30814",
"question": "How many people were there during the February 2007-08 Denver Nuggets when the visiting team was the Nuggets and the top scorer was JR Smith (28)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-30821",
"question": "What was the away team's score when the home team scored 31.9 (195) for the 18th round 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": [
"none"
],
"style": "rule"
} | {
"answer": [
"none"
],
"id": "wikisql-30822",
"question": "What was the round 18 date when the viewership was greater than 30,495 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": [
"North Melbourne"
],
"style": "rule"
} | {
"answer": [
"North Melbourne"
],
"id": "wikisql-30823",
"question": "What was the home team of the 1979 VFL season when Carlton was the away team in round 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": [
"15.16 (106)"
],
"style": "rule"
} | {
"answer": [
"15.16 (106)"
],
"id": "wikisql-30824",
"question": "What was the result for the away team when they played at Lake Oval in the 18th round 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-30825",
"question": "How many people were in the audience when the home team scored 31.9 (195) in the 18th round of the VFL season in 1979?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"15.25 (115)"
],
"style": "rule"
} | {
"answer": [
"15.25 (115)"
],
"id": "wikisql-30826",
"question": "What was the away team's score in round 18 of the 1979 VFL season when Hawthorn was 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": [
"9"
],
"style": "rule"
} | {
"answer": [
"9"
],
"id": "wikisql-30828",
"question": "What rank had the Labor Party gained in the SNP targets for the 2007 Scottish General Election in 2003, an increase greater than 2.13, a Labor hold as a result, and taking place in the Linlithgow constituency?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Liberal Democrats"
],
"style": "rule"
} | {
"answer": [
"Liberal Democrats"
],
"id": "wikisql-30829",
"question": "Which party won in 2003 that had a swing to gain of less than 2.92 and that resulted in an LD hold for the Scottish General Election, the 2007 SNP targets?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Galloway & Upper Nithsdale"
],
"style": "rule"
} | {
"answer": [
"Galloway & Upper Nithsdale"
],
"id": "wikisql-30830",
"question": "Which constituency of the 2007 Scottish general election, targets of the SNP, did the Conservative party win in 2003?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7–16"
],
"style": "rule"
} | {
"answer": [
"7–16"
],
"id": "wikisql-30831",
"question": "What is the 2009 bottom line if the visiting team is the Washington Redskins and the date is September 4th among the 2008 NBC Sunday Night Football Results (2006-Present)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Texas Stadium"
],
"style": "rule"
} | {
"answer": [
"Texas Stadium"
],
"id": "wikisql-30832",
"question": "What is the stadium if the date of the game is December 14 under NBC Sunday Night Football Results (2006-Present) under 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Qualcomm Stadium"
],
"style": "rule"
} | {
"answer": [
"Qualcomm Stadium"
],
"id": "wikisql-30833",
"question": "What is the name of the stadium if the visiting team is the Denver Broncos for NBC Sunday Night Football Scores (2006-2008, 2011-Present)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"23103"
],
"style": "rule"
} | {
"answer": [
"23103"
],
"id": "wikisql-30834",
"question": "What was the smallest crowd for round 11 of the 1972 VFL season when 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": [
"18692"
],
"style": "rule"
} | {
"answer": [
"18692"
],
"id": "wikisql-30835",
"question": "What was the biggest crowd when the away team scored 2.19 (31) for the 11th round 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": [
"Richmond"
],
"style": "rule"
} | {
"answer": [
"Richmond"
],
"id": "wikisql-30846",
"question": "I would like to know the home team of the 1979 VFL season, venue of round 8 of the MCG. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Fulham"
],
"style": "rule"
} | {
"answer": [
"Fulham"
],
"id": "wikisql-30847",
"question": "Where did Konchesky move from West Ham United FC in the 2007/08 season?",
"split": "train"
} |
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