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": [
"T9"
],
"style": "rule"
} | {
"answer": [
"T9"
],
"id": "wikisql-26246",
"question": "At what point did Jerry Barber of the United States come into play during the third round of the 1956 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"71-70-73=214"
],
"style": "rule"
} | {
"answer": [
"71-70-73=214"
],
"id": "wikisql-26247",
"question": "What score did Ed Furgol score when he came in at T6 for the third round of the 1956 US Open (golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"72-70-70=212"
],
"style": "rule"
} | {
"answer": [
"72-70-70=212"
],
"id": "wikisql-26248",
"question": "What score did Ted Kroll get at T2 in 1956 US Open (Golf) third 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": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-26249",
"question": "Where is Fred Haas from the 1956 US Open (golf) third 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": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-26250",
"question": "Where is Fred Haas from the third round of the 1956 US Open (golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"LB"
],
"style": "rule"
} | {
"answer": [
"LB"
],
"id": "wikisql-26251",
"question": "What position if the school/club team is McMaster, CFL Draft 2008 BC Lions season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-26252",
"question": "What is the lowest round if pick is 9 (over Hamilton) for the 2008 CFL Draft in the BC Lions 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": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-26253",
"question": "What is the 2008 BC Lions draft pick if position is OL and if round is less than 6 in the CFL draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Idaho"
],
"style": "rule"
} | {
"answer": [
"Idaho"
],
"id": "wikisql-26254",
"question": "What does the 2008 BC Lions season school/club team look like when Pick is 9 years old (via Hamilton)s CFL Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Standard Liège"
],
"style": "rule"
} | {
"answer": [
"Standard Liège"
],
"id": "wikisql-26263",
"question": "What is the team 2 for the match between 2009-10 UEFA Europa League with a team 1 of the round of 16 of Panathinaikos?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-26264",
"question": "What was the first leg result of round of 16 for the 2009–10 UEFA Europa League match with a team 1 of Panathinaikos?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4–4"
],
"style": "rule"
} | {
"answer": [
"4–4"
],
"id": "wikisql-26265",
"question": "What is the standings in the first leg of the round of 16 match with a team 2 from Werder Bremen for the 2009-10 UEFA Europa 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": [
"Do You Football"
],
"style": "rule"
} | {
"answer": [
"Do You Football"
],
"id": "wikisql-26266",
"question": "Who is the kitmaker for FC Augsburg among the employees and sponsors of the 2. Bundesliga 2008/09?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Benno Möhlmann"
],
"style": "rule"
} | {
"answer": [
"Benno Möhlmann"
],
"id": "wikisql-26267",
"question": "Who is the head coach of the team whose jersey sponsor is karstadt quelle versicherungen from the Personnel and sponsoring list of the 2nd Bundesliga 2008/09?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Martin Retov"
],
"style": "rule"
} | {
"answer": [
"Martin Retov"
],
"id": "wikisql-26269",
"question": "Who is the captain of the team for which Lübzer is the shirt sponsor of the 2008/09 Bundesliga 2 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": [
"Areva"
],
"style": "rule"
} | {
"answer": [
"Areva"
],
"id": "wikisql-26270",
"question": "Who is the shirt sponsor of the team Andreas Wolf is captain of the 2008/09 2nd Bundesliga Personnel and sponsorship ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"reflex"
],
"style": "rule"
} | {
"answer": [
"reflex"
],
"id": "wikisql-26271",
"question": "Who is the shirt sponsor for team Daniel Thioune captains under the 2008/09 Bundesliga 2 staff and sponsorship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Guia Circuit"
],
"style": "rule"
} | {
"answer": [
"Guia Circuit"
],
"id": "wikisql-26280",
"question": "Which circuit among the driver deaths in motorsport does qualifying as a session have?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Fuji Speedway"
],
"style": "rule"
} | {
"answer": [
"Fuji Speedway"
],
"id": "wikisql-26281",
"question": "According to driver fatalities in motorsport, the 1997 Japanese Formula 3 Championship is part of which race track?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Race"
],
"style": "rule"
} | {
"answer": [
"Race"
],
"id": "wikisql-26282",
"question": "in motorsport driver fatalities, Y what are the fall nationals sessions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Race"
],
"style": "rule"
} | {
"answer": [
"Race"
],
"id": "wikisql-26283",
"question": "the 1977 Japanese Grand Prix in the open wheel discipline among motorsport driver fatalities, Y has which session?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Crash"
],
"style": "rule"
} | {
"answer": [
"Crash"
],
"id": "wikisql-26285",
"question": "for what reason is touring car racing the discipline among the driver fatalities in motorsport,Y ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-26291",
"question": "How much money is a par of E for the 1979 US Open golf finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Polo Grounds"
],
"style": "rule"
} | {
"answer": [
"Polo Grounds"
],
"id": "wikisql-26292",
"question": "What was the site of the rivalry between the Eagles and Giants on October 16, 2013, 1930 (Giants 11-3)?",
"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": [
"New York Giants"
],
"style": "rule"
} | {
"answer": [
"New York Giants"
],
"id": "wikisql-26293",
"question": "Who was the winner when the pre-1935 score was 56-0 in the Eagles-Giants rivalry in the 1930s (Giants 11-3)?",
"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": [
"1936"
],
"style": "rule"
} | {
"answer": [
"1936"
],
"id": "wikisql-26295",
"question": "In the 1930s (Giants 11-3), what was the earliest year the Eagles-Giants rivalry score was 21-17?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Polo Grounds"
],
"style": "rule"
} | {
"answer": [
"Polo Grounds"
],
"id": "wikisql-26296",
"question": "What is the post 1934 spot the Philadelphia Eagles lost on October 15 in the 1930s Eagles-Giants rivalry (Giants 11-3)?",
"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": [
"Tumbes"
],
"style": "rule"
} | {
"answer": [
"Tumbes"
],
"id": "wikisql-26299",
"question": "Which province in Tumbes has less than 11 districts and a UBIGEO of 2401 among the provinces of Peru?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1304.0"
],
"style": "rule"
} | {
"answer": [
"1304.0"
],
"id": "wikisql-26300",
"question": "What is Chepén's average UBIGEO among the provinces of Peru?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Libertad"
],
"style": "rule"
} | {
"answer": [
"La Libertad"
],
"id": "wikisql-26301",
"question": "What is the region for Chepén with 3 districts in provinces of Peru?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3.3S"
],
"style": "rule"
} | {
"answer": [
"3.3S"
],
"id": "wikisql-26304",
"question": "What is the latitude of the Alajen Valley named after 1997 among the geological features in the Valles of Venus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Munich"
],
"style": "rule"
} | {
"answer": [
"Munich"
],
"id": "wikisql-26313",
"question": "Which stadium and location of Bundesliga 2 2009–10 has a capacity of more than 51,500?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sergio García"
],
"style": "rule"
} | {
"answer": [
"Sergio García"
],
"id": "wikisql-26326",
"question": "Who was the player in the second round of the 2005 Open Championship with a score of 70-69=139?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-26327",
"question": "From the 2005 Open Championships, which country did Bart Bryant belong to with a score of 69-70=139 in the 2005 second 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": [
"Spain"
],
"style": "rule"
} | {
"answer": [
"Spain"
],
"id": "wikisql-26328",
"question": "From which country is the player from the second round of the Open Championship 2005 with a score of 70-69=139?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-26329",
"question": "What place did the player with a score of 66-67=133 finish in the second round of the 2005 Open 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": [
"Australia"
],
"style": "rule"
} | {
"answer": [
"Australia"
],
"id": "wikisql-26330",
"question": "In the second round of the Open Championship 2005, from which country did the player who placed T3 with a score of 70-68=138 come from?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"71-66=137"
],
"style": "rule"
} | {
"answer": [
"71-66=137"
],
"id": "wikisql-26331",
"question": "What was the result for the player from Scotland in the second round of the Open Championship 2005?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rapid Wien"
],
"style": "rule"
} | {
"answer": [
"Rapid Wien"
],
"id": "wikisql-26336",
"question": "From the Gauliga list, who was the winner when the finalist was the German cup final of fsv frankfurt in the Gauliga system?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Luftwaffen-SV Hamburg"
],
"style": "rule"
} | {
"answer": [
"Luftwaffen-SV Hamburg"
],
"id": "wikisql-26337",
"question": "Who was the finalist when the winner in the German Gauliga Cup final under the Gauliga system was First Vienna FC?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sacked"
],
"style": "rule"
} | {
"answer": [
"Sacked"
],
"id": "wikisql-26338",
"question": "How did the manager replaced by Wolfgang Frank change during the 2008-09 Bundesliga 2 coaching changes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Stefan Emmerling"
],
"style": "rule"
} | {
"answer": [
"Stefan Emmerling"
],
"id": "wikisql-26339",
"question": "Who was hired to fill the space that became vacant during the 2008/09 Bundesliga 2 leadership changes on 3 March 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ewald Lienen"
],
"style": "rule"
} | {
"answer": [
"Ewald Lienen"
],
"id": "wikisql-26340",
"question": "What is the name of the person from the 2. Bundesliga 2008-2009 who was appointed manager change on 13 May 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Resigned"
],
"style": "rule"
} | {
"answer": [
"Resigned"
],
"id": "wikisql-26341",
"question": "How did the coach, who was replaced by Michael Oenning, deal with the 2nd Bundesliga between 2008 and 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Thomas von Heesen"
],
"style": "rule"
} | {
"answer": [
"Thomas von Heesen"
],
"id": "wikisql-26342",
"question": "What is the name of the manager who was replaced by Michael Oenning in 2008/09? Change of coach in the 2nd Bundesliga?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-26352",
"question": "What is the Ansett Australia Cup 2001 home team Group 4 if the away team scores 9.11 (65) points?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7.9 (51)"
],
"style": "rule"
} | {
"answer": [
"7.9 (51)"
],
"id": "wikisql-26353",
"question": "What is the away team's score if the ground is Optus Oval and if the away team is Fremantle in Group 4 2001 Ansett Australia Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Melbourne"
],
"style": "rule"
} | {
"answer": [
"Melbourne"
],
"id": "wikisql-26354",
"question": "What is the away team when the ground is Colonial Stadium for Group 4 of the 2001 Ansett Australia Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4391"
],
"style": "rule"
} | {
"answer": [
"4391"
],
"id": "wikisql-26355",
"question": "What is the sum of the crowd if the date is Sunday 4th March and if the home team score is 22.13 (145) for Group 4 of the Ansett Australia Cup 2001?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T6"
],
"style": "rule"
} | {
"answer": [
"T6"
],
"id": "wikisql-26356",
"question": "What place among the US Open (golf) second round of 2000 did a score of 71-71=142 deserve?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-26357",
"question": "What was José María Olazábal's score for the 2000 US Open (Golf) for the second 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": [
"72-71=143"
],
"style": "rule"
} | {
"answer": [
"72-71=143"
],
"id": "wikisql-26377",
"question": "What was Dave Hill's second round result at the 1966 US Open (golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"+4"
],
"id": "wikisql-26378",
"question": "What was the second round to par for Al Mengert of the United States at the 1966 US Open (golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"71-71=142",
"70-72=142"
],
"style": "rule"
} | {
"answer": [
"71-71=142",
"70-72=142"
],
"id": "wikisql-26379",
"question": "What is the score of T5 place in United States during second round of US Open (Golf) 1966?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Al Mengert"
],
"style": "rule"
} | {
"answer": [
"Al Mengert"
],
"id": "wikisql-26380",
"question": "Which player from the United States finished the second round of the 1966 US Open (golf) in the T10 place with a score of 67-77=144?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"–3"
],
"id": "wikisql-26381",
"question": "What was Billy Casper's performance during the second round of the 1966 US Open (golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Nov 2005"
],
"style": "rule"
} | {
"answer": [
"27 Nov 2005"
],
"id": "wikisql-26387",
"question": "What is the date when runner(s)-up is Oliver Wilson under European Tour wins 12 Paul Casey ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11 May 2003"
],
"style": "rule"
} | {
"answer": [
"11 May 2003"
],
"id": "wikisql-26388",
"question": "What is the date of European Tour wins (12) if the margin of victory for Paul Casey is 4 strokes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Peter Hanson , Miguel Ángel Jiménez"
],
"style": "rule"
} | {
"answer": [
"Peter Hanson , Miguel Ángel Jiménez"
],
"id": "wikisql-26389",
"question": "What is runner-up when the date is January 21, 2007 for Paul Casey's European Tour wins (12)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Abu Dhabi Golf Championship"
],
"style": "rule"
} | {
"answer": [
"Abu Dhabi Golf Championship"
],
"id": "wikisql-26390",
"question": "On the European Tour (12) Paul Casey wins what is a tournament when the margin of victory is 1 shot and when the date is January 18, 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-26401",
"question": "For the 1988 US Open (Golf) first round, what is the country when course is \"T4\" and when player is \"Scott Simpson\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-26402",
"question": "What is To Par when the score is 70 and the player is \"Craig Stadler\" from the first round of the 1988 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bob Gilder",
"Mike Nicolette"
],
"style": "rule"
} | {
"answer": [
"Bob Gilder",
"Mike Nicolette"
],
"id": "wikisql-26403",
"question": "What is a player if the score is less than 69 and if the country is \"United States\" in the first round of the 1988 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"A"
],
"style": "rule"
} | {
"answer": [
"A"
],
"id": "wikisql-26412",
"question": "What is the H/A when the opponent is the Bohemians in Manchester United FC pre-season 1990/91 and in friendlies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8000.0"
],
"style": "rule"
} | {
"answer": [
"8000.0"
],
"id": "wikisql-26413",
"question": "What is the attendance if Cork City are Manchester United FC opponents in pre-season and friendlies in 1990-91 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": [
"A"
],
"style": "rule"
} | {
"answer": [
"A"
],
"id": "wikisql-26414",
"question": "What is the H/A when Cork City are the opponents for Manchester United FC 1990-91 in pre-season and friendlies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"A"
],
"style": "rule"
} | {
"answer": [
"A"
],
"id": "wikisql-26415",
"question": "What is the H/A on 5 August 1990 for Manchester United FC pre-season and friendlies of the 1990/91 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4 – 0"
],
"style": "rule"
} | {
"answer": [
"4 – 0"
],
"id": "wikisql-26416",
"question": "What was the result of Manchester United FC's 1990/91 pre-season and friendlies on 5 August 1990?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"37344"
],
"style": "rule"
} | {
"answer": [
"37344"
],
"id": "wikisql-26430",
"question": "What was the total number of UEFA Champions League spectators at the venue when Auxerre played for Rangers FC in 1996/97?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T7"
],
"style": "rule"
} | {
"answer": [
"T7"
],
"id": "wikisql-26435",
"question": "Which place in the United States with a score of 67-75-68=210 in the third round of the 1989 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-26436",
"question": "Which country will finish fourth in the third round of the 1989 US Open (Golf) with a score of 66-71-72=209?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T4"
],
"style": "rule"
} | {
"answer": [
"T4"
],
"id": "wikisql-26437",
"question": "Who is ranked in the United States with a score of 68-73-68=209 in the third round of the 1989 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Nelson"
],
"style": "rule"
} | {
"answer": [
"Larry Nelson"
],
"id": "wikisql-26438",
"question": "Who is the United States player ranked T4 with a score of 68-73-68=209 at the 1989 US Open (Golf) in the third 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": [
"Game 1"
],
"style": "rule"
} | {
"answer": [
"Game 1"
],
"id": "wikisql-26445",
"question": "Which Houston Rockets game of the 1985-86 season had the score of 112-100 in the 1989 NBA Finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Game 2"
],
"style": "rule"
} | {
"answer": [
"Game 2"
],
"id": "wikisql-26446",
"question": "What game was played during the Houston Rockets season at the NBA Finals on May 29, 1985-86?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"112-100"
],
"style": "rule"
} | {
"answer": [
"112-100"
],
"id": "wikisql-26447",
"question": "What was the result of Game 1 of the 1985-86 NBA Finals of the Houston Rockets 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": [
"Game 3"
],
"style": "rule"
} | {
"answer": [
"Game 3"
],
"id": "wikisql-26448",
"question": "How was the game between the Houston Rockets and the Philadelphia 76ers at the 1985-86 NBA Finals when Houston was the home team and the score was 106-104?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17142000"
],
"style": "rule"
} | {
"answer": [
"17142000"
],
"id": "wikisql-26456",
"question": "Among the amusement park rankings, which North America's 2011 has a 2012 of more than 9,998,000?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-26457",
"question": "Which year 2010 has a rank of 1 and which year 2009 has a rank of more than 17,233,000 for amusement park rankings in North America?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-26458",
"question": "Which 2012 has a 2011 of 17,142,000 and a 2010 of less than 16,972,000 from Amusement Park Rankings: North America?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-26459",
"question": "From the list of amusement park rankings, which North America has a 2009 2012 of 17,536,000 and a 2010 of less than 16,972,000 S?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"70-68-69-69=276"
],
"style": "rule"
} | {
"answer": [
"70-68-69-69=276"
],
"id": "wikisql-26466",
"question": "What is the score if the player \"Bill Rogers\" is in the finals of the 1981 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"B"
],
"style": "rule"
} | {
"answer": [
"B"
],
"id": "wikisql-26507",
"question": "What is the tire for real racing with Leon team member Koudai Tsukakoshi under the GT500 of the 2008 Super GT 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": [
"Juichi Wakisaka",
"André Lotterer"
],
"style": "rule"
} | {
"answer": [
"Juichi Wakisaka",
"André Lotterer"
],
"id": "wikisql-26508",
"question": "Which driver drove a Lexus, did all the laps, had a B tire and was on the Petronas Toyota Team Tom's team taking part in the 2008 Super GT GT500 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": [
"15427"
],
"style": "rule"
} | {
"answer": [
"15427"
],
"id": "wikisql-26510",
"question": "What is the sum of the capacities for the 2008/09 Süper Lig if the team is \"Denizlispors overview\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Antalyaspor"
],
"style": "rule"
} | {
"answer": [
"Antalyaspor"
],
"id": "wikisql-26511",
"question": "Under the overview of Süper Lig 2008/09 what is the team if team captain is 'Uğur Kavuk'; is Turkey?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Fenerbahçe"
],
"style": "rule"
} | {
"answer": [
"Fenerbahçe"
],
"id": "wikisql-26512",
"question": "What is the team if the venue is \"Şükrü Saracoğlu Stadium\" in the 2008/09 Süper Lig overview?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Istanbul BB"
],
"style": "rule"
} | {
"answer": [
"Istanbul BB"
],
"id": "wikisql-26513",
"question": "What is a team if the capacity is greater than 16,981 and if the venue is \"Atatürk Olympic Stadium\" in the 2008–09 Süper Lig overview?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Result",
"Result"
],
"style": "rule"
} | {
"answer": [
"Result",
"Result"
],
"id": "wikisql-26516",
"question": "From the 2009 World Sidecarcross Championship calendar listing, what is the source for September 6th?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-26517",
"question": "Which week has a 21-19 schedule result for the Atlanta Falcons 2000 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": [
"13"
],
"style": "rule"
} | {
"answer": [
"13"
],
"id": "wikisql-26518",
"question": "Which week of the Atlanta Falcons 2000 schedule had a score of l 41-14?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"W 36-28"
],
"style": "rule"
} | {
"answer": [
"W 36-28"
],
"id": "wikisql-26519",
"question": "Which 2012 Atlanta Falcons are scheduled for September 3, 2000? The season result has a date of ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"September 3, 2000"
],
"style": "rule"
} | {
"answer": [
"September 3, 2000"
],
"id": "wikisql-26520",
"question": "What date has a attendance of 54,626 for the Atlanta Falcons 2000 season schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bye"
],
"style": "rule"
} | {
"answer": [
"Bye"
],
"id": "wikisql-26521",
"question": "Which result of the Atlanta Falcons 2000 season participation has a bye scheduled?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-26529",
"question": "What is the lowest average finish for 40th place with top 5 greater than 0 in the Ken Schrader NASCAR Sprint Cup 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": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-26535",
"question": "What is the lowest rank with 3+ losses and 25+ sets lost among V-League 5th Season 1st Conference eliminations?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-26536",
"question": "What is the lowest rank among V-League 5th Season 1st Conference eliminations with 16+ sets won and less than 1 loss?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Everton"
],
"style": "rule"
} | {
"answer": [
"Everton"
],
"id": "wikisql-26537",
"question": "Who was the home side of the 1984-85 FA Cup when the away team was Telford United in the 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": [
"1–1"
],
"style": "rule"
} | {
"answer": [
"1–1"
],
"id": "wikisql-26538",
"question": "What was the result when the away team played West Ham United in the 1984-85 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": [
"Replay"
],
"style": "rule"
} | {
"answer": [
"Replay"
],
"id": "wikisql-26539",
"question": "What was the tie when the home team was West Ham United in the 1984-85 FA Cup fifth round?",
"split": "train"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.