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": [
"20.0"
],
"style": "rule"
} | {
"answer": [
"20.0"
],
"id": "wikisql-35302",
"question": "What is the median number of caps for Ryota Asano among Rugby World Cup 2007 squads?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20.0"
],
"style": "rule"
} | {
"answer": [
"20.0"
],
"id": "wikisql-35303",
"question": "What is the average number of caps for Ryota Asano among squads for Rugby World Cup Japan 2007 (Reserves), Pool B?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Old County Ground , Brentwood"
],
"style": "rule"
} | {
"answer": [
"Old County Ground , Brentwood"
],
"id": "wikisql-35309",
"question": "From Kent's list of first-class cricket records during runs 332, what was the innings or venue of the series with the highest single 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": [
"Frank Woolley"
],
"style": "rule"
} | {
"answer": [
"Frank Woolley"
],
"id": "wikisql-35310",
"question": "Which player has 270 runs in Kent's list of first class cricket records with the highest single score, innings or series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Crabble Athletic Ground , Dover"
],
"style": "rule"
} | {
"answer": [
"Crabble Athletic Ground , Dover"
],
"id": "wikisql-35311",
"question": "During the 1935 season, what was the venue among the highest singles innings or list of Kent's first-class cricket 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": [
"Cheriton Road , Folkestone"
],
"style": "rule"
} | {
"answer": [
"Cheriton Road , Folkestone"
],
"id": "wikisql-35312",
"question": "For Player Les Ames, what was the venue for the highest single point, innings or streak on his list of Kent's top cricket 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": [
"Raymond Felton"
],
"style": "rule"
} | {
"answer": [
"Raymond Felton"
],
"id": "wikisql-35380",
"question": "Which player is 6-2 among the USA's premier 2002 boys' team and today's All-USA high school basketball 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": [
"Vancouver"
],
"style": "rule"
} | {
"answer": [
"Vancouver"
],
"id": "wikisql-35423",
"question": "What is the home team of the Western Conference Quarterfinals, playoffs for game April 20 for 1995/96 season at Colorado Avalanche?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1 – 0"
],
"style": "rule"
} | {
"answer": [
"1 – 0"
],
"id": "wikisql-35424",
"question": "What is the series score of the Western Conference quarterfinals, playoff games of the game with Vancouver as the away team on April 16 in the 1995-96 Colorado Avalanche 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 – 0"
],
"style": "rule"
} | {
"answer": [
"1 – 0"
],
"id": "wikisql-35425",
"question": "What is the April 16 series standings of the game among the Western Conference quarterfinals of the 1995–96 Colorado Avalanche 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": [
"PAO1"
],
"style": "rule"
} | {
"answer": [
"PAO1"
],
"id": "wikisql-35445",
"question": "From the list of sequenced bacterial genomes of Gammaproteobacteria pseudomonadota, which species of bacteria has 5,566 genes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"XCL2"
],
"style": "rule"
} | {
"answer": [
"XCL2"
],
"id": "wikisql-35446",
"question": "What is the phylum name of the species Thiomicrospira crunogena in the list of sequenced bacterial genomes of Gammaproteobacteria, Pseudomonadota?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kent, WA"
],
"style": "rule"
} | {
"answer": [
"Kent, WA"
],
"id": "wikisql-35488",
"question": "Which hometown usa-today all-usa high school basketball team has an elevation of 6-0 from the 2010 boys third 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": [
"Winter Park High School"
],
"style": "rule"
} | {
"answer": [
"Winter Park High School"
],
"id": "wikisql-35490",
"question": "Which school in Winter Park, FL (hometown) is now under USA, 2010 third-team boys All-USA high school basketball 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": [
"Orlando, FL"
],
"style": "rule"
} | {
"answer": [
"Orlando, FL"
],
"id": "wikisql-35492",
"question": "What is the hometown of Villanova College among the USA 3rd 2010 boys team of today All USA high school basketball 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-35547",
"question": "What sum of Ave-no has the name Albula Alps and an elevation (m) greater than 3418 in the Central-Eastern Alps Group, the Alpine Club's classification?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-35548",
"question": "Among the central-eastern Alps of the Group Alpine Club classification, what altitude (m) has the name Plessur Alps and is not greater than 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": [
"Plessur Alps"
],
"style": "rule"
} | {
"answer": [
"Plessur Alps"
],
"id": "wikisql-35549",
"question": "Which name has an altitude (m) of 2980 in the Central Eastern Alps group, Alpine Club classification?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"67"
],
"style": "rule"
} | {
"answer": [
"67"
],
"id": "wikisql-35550",
"question": "Which Ave-no among the Central-Eastern Alps has a name Livigno Alps in the Alpine Club classification group?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-35652",
"question": "What was the attendance for the 2007/08 season Adelaide United pre-season game in which home team Melbourne won?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3 - 2"
],
"style": "rule"
} | {
"answer": [
"3 - 2"
],
"id": "wikisql-35653",
"question": "What was the result of the match between Adelaide United 2007-08 Pre-Season Competition which took place in the play-off 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": [
"3800"
],
"style": "rule"
} | {
"answer": [
"3800"
],
"id": "wikisql-35654",
"question": "In the game where Newcastle Jets, a team from Sydney, was the away team, what was the attendance in the 2007/08 season among pre-season competitions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Prince (7)"
],
"style": "rule"
} | {
"answer": [
"Prince (7)"
],
"id": "wikisql-35684",
"question": "What are Hamilton's high assists (24) in the 2007–08 season of the Detroit Pistons first round playoffs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2–2"
],
"style": "rule"
} | {
"answer": [
"2–2"
],
"id": "wikisql-35685",
"question": "Which streak had a peak by Prince (23) in the first round of the Detroit Pistons 2007-08 season, playoffs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"185"
],
"style": "rule"
} | {
"answer": [
"185"
],
"id": "wikisql-35745",
"question": "The draft total for the running back created after Round 1 from Fresno State among the 1994 selections of the 1994 Kansas City Chiefs season, NFL draft. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"92"
],
"style": "rule"
} | {
"answer": [
"92"
],
"id": "wikisql-35746",
"question": "What is the total number of players drafted by Notre Dame for the Kansas City Chiefs' 1994 Selections NFL Draft of the 1994 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-36024",
"question": "In Glenelg FL of the South West District Football League, 1969, when three leagues came together, how many byes were there when there were fewer than 737 opponents?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-36025",
"question": "From the South West District Football League list, how many wins were there when the Byes were 3+ at Glenelg FL in 1969 when three leagues came together?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-36026",
"question": "How many wins over 0 tie for Glenelg FL, 1969 South West District Football League when three leagues came together?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-36027",
"question": "How many wins did Glenelg Fl of Bahgallah have when there were 3+ byes in the South West District Football League in 1969 when three leagues came together?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"21:18"
],
"style": "rule"
} | {
"answer": [
"21:18"
],
"id": "wikisql-36120",
"question": "What is the first set for the 45-40 aggregate score in the men's round of 16 at the 2009 Beach Volleyball World Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"37:47"
],
"style": "rule"
} | {
"answer": [
"37:47"
],
"id": "wikisql-36121",
"question": "What is the total of the 16th round of the men's competition of the beach volleyball world championship 2009, 24:26, set 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": [
"42:29"
],
"style": "rule"
} | {
"answer": [
"42:29"
],
"id": "wikisql-36122",
"question": "What is the total of set 9 of 21:12 of the 16th round of the 2009 Beach Volleyball Men's World Championship, Men's Competition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"45:40"
],
"style": "rule"
} | {
"answer": [
"45:40"
],
"id": "wikisql-36123",
"question": "What is the total set 2 24:22 for the 16th round of the 2009 Men's Beach Volleyball World Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3 July"
],
"style": "rule"
} | {
"answer": [
"3 July"
],
"id": "wikisql-36124",
"question": "What is the date of 21:12 set 2 in round 16 of the 2009 Men's Beach Volleyball World Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-36183",
"question": "What is the rank of the player that will give 11 points in the 2008 ISSF World Cup Final (Rifle and Pistol) of the Men's 25m Automatic Pistol Qualifier?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Josef Fiala ( CZE )"
],
"style": "rule"
} | {
"answer": [
"Josef Fiala ( CZE )"
],
"id": "wikisql-36184",
"question": "Which shooter had a total of 11 at the World Championships Munich with a score of 6 for the 2008 issf World Cup Final (Qualification, Men's 25m Rapid Fire Pistol)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"WC Beijing"
],
"style": "rule"
} | {
"answer": [
"WC Beijing"
],
"id": "wikisql-36185",
"question": "What is the event where there is a 10 point among the 25m automatic pistol men's qualification in the 2008 ISSF World Cup Finals (Rifle and Pistol)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ralf Schumann ( GER )"
],
"style": "rule"
} | {
"answer": [
"Ralf Schumann ( GER )"
],
"id": "wikisql-36186",
"question": "Who is the shooter of the 2008 Qualifier, Men's 25m Rapid Fire Pistol (Rifle and Pistol) in the ISSF World Cup Finals 2008, that's the defending champion?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"33"
],
"style": "rule"
} | {
"answer": [
"33"
],
"id": "wikisql-36334",
"question": "How many assists did Steve Walker have in the play-off top scorers at Eisbären Berlin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"34"
],
"style": "rule"
} | {
"answer": [
"34"
],
"id": "wikisql-36335",
"question": "How many goals did the player who recorded 33 assists in the 85 games of the play-off leading club statistics at Eisbären berlin 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": [
"56"
],
"style": "rule"
} | {
"answer": [
"56"
],
"id": "wikisql-36336",
"question": "How many points did Denis Pederson have in the Eisbären Berlin play-off lead?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-36430",
"question": "What is the average entry in the Portland dfl column in 1969 when three leagues come together with ties less than 0 for the South West District 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-36431",
"question": "What is the 1969 total when three leagues combined had losses that had more than 1 tie and a portland dfl westerns in the south west district 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-36432",
"question": "What is the sum of ties for all byes greater than 0 in the 1969 Portland Dfl of the South West District Football League when three leagues come together?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-36433",
"question": "What is the total byes for losses greater than 14 for a Portland dfl Westerns under the 1969 South West District Football Leagues when three leagues come together?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Emma Engstrand"
],
"style": "rule"
} | {
"answer": [
"Emma Engstrand"
],
"id": "wikisql-36480",
"question": "Which bronze does Tatiana Ryabkina have as silver, Anne Margrethe Hausken as gold for European Orienteering Championships - Women's Individual/Classic/Long?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ciudad Victoria"
],
"style": "rule"
} | {
"answer": [
"Ciudad Victoria"
],
"id": "wikisql-36507",
"question": "What is the city of license if the frequency for the list of radio stations in Nuevo Laredo from Tamaulipas is greater than 1380?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"La Poderosa"
],
"style": "rule"
} | {
"answer": [
"La Poderosa"
],
"id": "wikisql-36508",
"question": "What is a brand if the frequency is \"640\" for Nuevo Laredo in the list of radio stations in Tamaulipas?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1340.0"
],
"style": "rule"
} | {
"answer": [
"1340.0"
],
"id": "wikisql-36509",
"question": "What is the average frequency in the list of radio stations in Tamaulipas 'nuevo laredo if the type is `` norteño `` and the brand is `` la cotorra ``?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"State Government"
],
"style": "rule"
} | {
"answer": [
"State Government"
],
"id": "wikisql-36510",
"question": "What is the type if the frequency is \"1480\" in the list of radio stations in Tamaulipas Nuevo Laredo?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1380"
],
"style": "rule"
} | {
"answer": [
"1380"
],
"id": "wikisql-36511",
"question": "What is the sum of the frequency of Nuevo Laredo if the type is \"Christian pop\" from the list of radio stations in Tamaulipas?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Norteño"
],
"style": "rule"
} | {
"answer": [
"Norteño"
],
"id": "wikisql-36512",
"question": "What type of radio stations are in Nuevo Laredo, Tamaulipas when the call sign is xetam?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3.0km, 20controls"
],
"style": "rule"
} | {
"answer": [
"3.0km, 20controls"
],
"id": "wikisql-36520",
"question": "What are the 2004 grades at the European Men's Orienteering Championships, short/sprint?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2000"
],
"style": "rule"
} | {
"answer": [
"2000"
],
"id": "wikisql-36521",
"question": "In what year did Yuri Omeltchenko win silver at the European Men's Orienteering Short Sprint Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yuri Omeltchenko"
],
"style": "rule"
} | {
"answer": [
"Yuri Omeltchenko"
],
"id": "wikisql-36522",
"question": "Who won silver at the 2000 Men's Orienteering European Championships, Short/Sprint?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Defending champion"
],
"style": "rule"
} | {
"answer": [
"Defending champion"
],
"id": "wikisql-36625",
"question": "What is the score of a defending champion in qualifiers for the 2008 ISSF World Cup Finals (shotgun) and women's skeet?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-36626",
"question": "What ranking points does an event from WC Beijing score 11 points among the 2008 Issf World Cup Finals Women's Skeet Qualifiers (Shotgun)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Zhang Shan ( CHN )"
],
"style": "rule"
} | {
"answer": [
"Zhang Shan ( CHN )"
],
"id": "wikisql-36628",
"question": "Which shooter has one WC Beijing event, 16 overall and a rank of 4 in the women's skeet quantification at the 2008 ISSF World Cup Finals (Shotgun)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"No"
],
"id": "wikisql-36705",
"question": "From the list of collaborative or notable software features, what is instant messaging when Electronic Meeting System is \"Yes\" and when name is \"Microsoft Sharepoint\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Squadra Osella Corse"
],
"style": "rule"
} | {
"answer": [
"Squadra Osella Corse"
],
"id": "wikisql-36741",
"question": "Who was the winning team of the 1979 season at the 2012 BMW M1 Procar Championship on May 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": [
"Squadra Osella Corse"
],
"style": "rule"
} | {
"answer": [
"Squadra Osella Corse"
],
"id": "wikisql-36742",
"question": "Who was the winning team for the 1979 BMW M1 Procar Championship Circuit Zolder season 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": [
"BMW Motorsport"
],
"style": "rule"
} | {
"answer": [
"BMW Motorsport"
],
"id": "wikisql-36743",
"question": "In the results of the 1979 season of the BMW M1 Procar Championship, who was the winning team of round three?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Project Four"
],
"style": "rule"
} | {
"answer": [
"Project Four"
],
"id": "wikisql-36744",
"question": "Who was the winning team in the 1979 season BMW M1 Procar Championship on July 13th?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Skelmersdale United"
],
"style": "rule"
} | {
"answer": [
"Skelmersdale United"
],
"id": "wikisql-36801",
"question": "What is the away team of the 117 attendance match for the 2008/09 FA Cup qualifying rounds preliminary 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": [
"o"
],
"style": "rule"
} | {
"answer": [
"o"
],
"id": "wikisql-36822",
"question": "What is the 17th when initial open/half-open unstressed vowels \"o /ɵ/\" from traditional English pronunciation of Latin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"əʊ, ə"
],
"style": "rule"
} | {
"answer": [
"əʊ, ə"
],
"id": "wikisql-36823",
"question": "What is British when examples are `` november, rotunda, colossus, proscenium `` in traditional English pronunciation of Latin initial syllable, open/half-open vowels, initial unstressed syllables?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"ɪ, ə"
],
"style": "rule"
} | {
"answer": [
"ɪ, ə"
],
"id": "wikisql-36824",
"question": "What is American when British is \"i,ɪ\" and when initial syllables are open/half-open unstressed vowels \"æ /ɨ/\" for Latin Traditional English pronunciation?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"a /ə/"
],
"style": "rule"
} | {
"answer": [
"a /ə/"
],
"id": "wikisql-36825",
"question": "What does the traditional English pronunciation of Latin have as an initial open/half-open syllable with no stress on vowels when Australian is \"ə\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"ɑe, ɪ, ə",
"ɑe, ɪ, ə"
],
"style": "rule"
} | {
"answer": [
"ɑe, ɪ, ə",
"ɑe, ɪ, ə"
],
"id": "wikisql-36826",
"question": "What is Australian when British is \"aɪ,ɪ,ə\", under traditional English pronunciation Latin initial syllable, open/half-open vowels, initial unstressed syllables?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"26.55"
],
"style": "rule"
} | {
"answer": [
"26.55"
],
"id": "wikisql-36846",
"question": "The Bermuda national cricket team runs the most odi, records and statistics. Can you tell me the average with a rank greater than 4 and the player of Dean Minors?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dominic Grazioli ( USA )"
],
"style": "rule"
} | {
"answer": [
"Dominic Grazioli ( USA )"
],
"id": "wikisql-36999",
"question": "Who was the shooter when the ranking points were 8 and the 2008 Issf World Cup Finals (Shotgun) WC Kerrville event was under qualification?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"27"
],
"id": "wikisql-37000",
"question": "What was the total if the score was 12 and the ranking score was 15 for the 2008 ISSF World Cup Final (Shotgun) Men's Qualification?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-37212",
"question": "What are the Anaheim Ducks' average points per game for the 2008-09 regular season if the date is \"Feb. February” and less than 16,874 spectators are 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-37213",
"question": "In the 2008-09 Anaheim Ducks regular season, what is the lowest attendance if the date is \"4. February” and if the points are less than 57?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Diesel"
],
"style": "rule"
} | {
"answer": [
"Diesel"
],
"id": "wikisql-37224",
"question": "What fuel the Golf mk4 Estate (1999-2006) has a 4 cylinder engine and a 0-100 km/h speed of 11.3 on the Volkswagen Golf variant?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Petrol",
"Petrol"
],
"style": "rule"
} | {
"answer": [
"Petrol",
"Petrol"
],
"id": "wikisql-37225",
"question": "Which Golf 4 Variant (1999-2006)'s Fuel engines have a power output of ps (kw; hp) @6000 rpm from Volkswagen Golf Variant?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N·m (lb·ft) @2200–2600 rpm",
"N·m (lb·ft) @1800–2400 rpm"
],
"style": "rule"
} | {
"answer": [
"N·m (lb·ft) @2200–2600 rpm",
"N·m (lb·ft) @1800–2400 rpm"
],
"id": "wikisql-37226",
"question": "Which of the Golf 4 station wagon engines (1999-2006) has a torque of 1896 cm³ and a CO2 value of 140 g/km in the Volkswagen Golf variant?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-37227",
"question": "How much 0-100 km/h,s has a diesel fuel and torque of n m (lb ft) at 1900 rpm and an engine id code(s) of egr/alh for the Volkswagen Golf Variant MK4 (1999-2006) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"146 g/km",
"149 g/km"
],
"style": "rule"
} | {
"answer": [
"146 g/km",
"149 g/km"
],
"id": "wikisql-37228",
"question": "Which of the engines Golf mk4 station wagon (1999-2006) Co 2 has a power output of hp (kW; hp) at 4000 rpm and a speed of 0-100 km/h, less than 11.1 for the Volkswagen Golf variant ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Round 21"
],
"style": "rule"
} | {
"answer": [
"Round 21"
],
"id": "wikisql-37255",
"question": "At Canberra Stadium, which round was among the 2009 nrl most points scored a game by individual team, club and player 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": [
"Toyota Stadium"
],
"style": "rule"
} | {
"answer": [
"Toyota Stadium"
],
"id": "wikisql-37256",
"question": "What is the venue of the game with Cronulla Sharks as opponents among most points of the 2009 nrl season scored in individual team club and player 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": [
"Cronulla Sharks"
],
"style": "rule"
} | {
"answer": [
"Cronulla Sharks"
],
"id": "wikisql-37257",
"question": "Which opponent is the club and player who scored the most points in the 2009 NRL season at Toyota Stadium?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"52–12"
],
"style": "rule"
} | {
"answer": [
"52–12"
],
"id": "wikisql-37258",
"question": "What is the scoring of the game against the Sydney Roosters among the most points of the 2009 NRL season in individual team club and player 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": [
"Toyota Stadium"
],
"style": "rule"
} | {
"answer": [
"Toyota Stadium"
],
"id": "wikisql-37259",
"question": "What is the venue of the game opposing the Cronulla Sharks in the 2009 nrl season with the most points in individual team, club and player 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": [
"4cyl"
],
"style": "rule"
} | {
"answer": [
"4cyl"
],
"id": "wikisql-37349",
"question": "What engine is horsepower ( kw ; hp ) at 4700 rpm among Volkswagen Golf Variant ( 1993–1999 ) Golf mk3 Estate ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"PS (kW; hp) @4700 rpm"
],
"style": "rule"
} | {
"answer": [
"PS (kW; hp) @4700 rpm"
],
"id": "wikisql-37350",
"question": "What is the power of the aex/apq engine in the Golf mk3 station wagon (1993-1999) that uses petrol from the Volkswagen Golf variant?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Olympic silver medalist"
],
"style": "rule"
} | {
"answer": [
"Olympic silver medalist"
],
"id": "wikisql-37396",
"question": "What ranking points does an Olympic silver medalist have for the 2008 ISSF World Cup Final (rifle and pistol) in the 2008 Olympic qualifier, women's 50m rifle, three positions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kristina Vestveit ( NOR )"
],
"style": "rule"
} | {
"answer": [
"Kristina Vestveit ( NOR )"
],
"id": "wikisql-37397",
"question": "Under the 2008 ISSF World Cup Final (Women's 50m Rifle Qualification, three positions), which shooter has a rank of 8 points and a WC Milan competition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Olympic gold medalist"
],
"style": "rule"
} | {
"answer": [
"Olympic gold medalist"
],
"id": "wikisql-37398",
"question": "What is the score of above Beijing event and Olympic gold medalist ranking points under the 2008 issf World Cup Finals (Qualification, Women's 50m Rifle, Three Positions)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-37399",
"question": "Name event of wc milan and total 23 for 2008 issf world cup finals (rifle and pistol) qualification women 50m rifle three positions ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.20m(26ft10¾in)"
],
"style": "rule"
} | {
"answer": [
"8.20m(26ft10¾in)"
],
"id": "wikisql-37460",
"question": "What is distance if the venue is \"Belgrade\" for long jump men, 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": [
"1989-08-08"
],
"style": "rule"
} | {
"answer": [
"1989-08-08"
],
"id": "wikisql-37461",
"question": "What is the date when the athlete \"Yussuf Alli\" is in the men's long jump 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": [
"8.73m(28ft7½in)"
],
"style": "rule"
} | {
"answer": [
"8.73m(28ft7½in)"
],
"id": "wikisql-37462",
"question": "What is distance if the athlete \"Irving Saladino\" for men in the long jump, 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": [
"Yussuf Alli"
],
"style": "rule"
} | {
"answer": [
"Yussuf Alli"
],
"id": "wikisql-37463",
"question": "What is the athlete's long jump when the nation is \"Nigeria\" of men's 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": [
"Lebanon"
],
"style": "rule"
} | {
"answer": [
"Lebanon"
],
"id": "wikisql-37464",
"question": "What is nation if the date is \"2004-07-22\" in long jump men 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": [
"8.24m(27ft0¼in)"
],
"style": "rule"
} | {
"answer": [
"8.24m(27ft0¼in)"
],
"id": "wikisql-37465",
"question": "What is the long jump distance if the date is \"2008-01-12\" in the men's long jump 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": [
"Emma Engstrand"
],
"style": "rule"
} | {
"answer": [
"Emma Engstrand"
],
"id": "wikisql-37477",
"question": "Who won bronze with scores of 2.5km, 16 controls at the Women's European Orienteering Championships, Short/Sprint?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Simone Niggli-Luder"
],
"style": "rule"
} | {
"answer": [
"Simone Niggli-Luder"
],
"id": "wikisql-37478",
"question": "After 2004, who won gold with scores of 2.73 km, 14 controls at the European Orienteering Championships for women in the short/sprint?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Helena Jansson"
],
"style": "rule"
} | {
"answer": [
"Helena Jansson"
],
"id": "wikisql-37479",
"question": "Among the European Women's Orienteering Championships, short/sprint, who won bronze with scores of 2.5 km, 14 controls?",
"split": "train"
} |
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