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": [
"57"
],
"style": "rule"
} | {
"answer": [
"57"
],
"id": "wikisql-06987",
"question": "Name the most appearances for Bernard allou A among the Paris Saint-Germain FC players?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"39"
],
"style": "rule"
} | {
"answer": [
"39"
],
"id": "wikisql-06988",
"question": "What is the highest number of goals scored in the list of Paris Saint-Germain FC players?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06989",
"question": "How many appearances has a player played the fewest among the Paris Saint-Germain FC players?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"France"
],
"style": "rule"
} | {
"answer": [
"France"
],
"id": "wikisql-06990",
"question": "what is the nationality of louis floch in the list of players of fc paris saint-germain, F ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Laurent Fournier"
],
"style": "rule"
} | {
"answer": [
"Laurent Fournier"
],
"id": "wikisql-06991",
"question": "From the list of players of Paris Saint-Germain FC, F, which player has made 252 appearances?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"France"
],
"style": "rule"
} | {
"answer": [
"France"
],
"id": "wikisql-06992",
"question": "what is the nationality of the player in the list of players of paris saint-germain fc who has scored 13 goals ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 h, 35 min"
],
"style": "rule"
} | {
"answer": [
"3 h, 35 min"
],
"id": "wikisql-07003",
"question": "If Salyut 7 – ve-4 – eva 1 is the spaceship spacewalk, how long is it?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25 July 1984 18:29"
],
"style": "rule"
} | {
"answer": [
"25 July 1984 18:29"
],
"id": "wikisql-07004",
"question": "From the Salyut 7 if the first woman is Eva the comment what is the end -utc of spacewalks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.88"
],
"style": "rule"
} | {
"answer": [
"8.88"
],
"id": "wikisql-07006",
"question": "Name the duration for Georgi Grechko among the Salyut 7 expeditions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Soyuz T-5"
],
"style": "rule"
} | {
"answer": [
"Soyuz T-5"
],
"id": "wikisql-07007",
"question": "Name the flight for 10 December 1982 19:02:36 UTC for the Salyut 7 expedition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 June 1983 09:12:00 UTC"
],
"style": "rule"
} | {
"answer": [
"27 June 1983 09:12:00 UTC"
],
"id": "wikisql-07008",
"question": "Tell Salyut 7 launch date for vladimir lyakhov, aleksandr pavlovich aleksandrov's Expeditions ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Soyuz T-14"
],
"style": "rule"
} | {
"answer": [
"Soyuz T-14"
],
"id": "wikisql-07009",
"question": "For Salyut 7, name the flight used for vladimir vasyutin, alexander volkov Expeditions ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Arantxa Sánchez Vicario Natasha Zvereva"
],
"style": "rule"
} | {
"answer": [
"Arantxa Sánchez Vicario Natasha Zvereva"
],
"id": "wikisql-07027",
"question": "Name the opponents for WTA Tier I:19 Finals (13 titles, 6 runners-up) Martina Hingi's career stats for 6-2, 3-6, 6-3?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hilton Head"
],
"style": "rule"
} | {
"answer": [
"Hilton Head"
],
"id": "wikisql-07028",
"question": "Name championship for result as winner for 7-5, 4-6, 6-1 for Martina Hingi's career stats WTA Tier I 19 Finals 13 Titles 6 runners-up. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6–3, 3–6, 6–4"
],
"style": "rule"
} | {
"answer": [
"6–3, 3–6, 6–4"
],
"id": "wikisql-07029",
"question": "Name the highest match score for winners and Julie Halard-Decugis ai Sugiyama for Martina Hingis career stats from WTA Tier I 19 Finals 13 titles 6 runners-up?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Barilla Indoors"
],
"style": "rule"
} | {
"answer": [
"Barilla Indoors"
],
"id": "wikisql-07030",
"question": "Name the Hard Surface Championship 7–5, 6–4 in Martina Hingi's career stats for WTA Tier I: 19 Finals (13 titles, 6 runners-up). ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hard"
],
"style": "rule"
} | {
"answer": [
"Hard"
],
"id": "wikisql-07031",
"question": "Name the surface for Nathalie Tauziat during Martina Hingi's career stats WTA Tier I :19 Finals (13 titles, 6 runners-up). ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"French Open (2)"
],
"style": "rule"
} | {
"answer": [
"French Open (2)"
],
"id": "wikisql-07037",
"question": "Grand Slams 11 Finals 9 titles 2 runners-up, Which championships were played on clay and the opponent was Virginia Ruano Pascual Paola Suárez in Martina Hingis' career stats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Australian Open"
],
"style": "rule"
} | {
"answer": [
"Australian Open"
],
"id": "wikisql-07038",
"question": "In Martina Hingi's career stats, among her Grand Slam wins, 11 finals, 9 titles, 2 runners-up, in which championships was there a match where Natasha Zvereva played as a partner?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2010 Campeonato Paulista"
],
"style": "rule"
} | {
"answer": [
"2010 Campeonato Paulista"
],
"id": "wikisql-07065",
"question": "What is the name of the competition where the nationality is Brazil and the voting percentage for the FIFA Puskás Award 2010 is n/a?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Giovanni van Bronckhorst"
],
"style": "rule"
} | {
"answer": [
"Giovanni van Bronckhorst"
],
"id": "wikisql-07066",
"question": "What is the name of the player whose nationality and team is the Netherlands in the FIFA Puskás Awards 2010?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5–0"
],
"style": "rule"
} | {
"answer": [
"5–0"
],
"id": "wikisql-07067",
"question": "What was the score of the match in which Samir Nasri played under the FIFA Puskás Awards 2010?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hamit Altıntop"
],
"style": "rule"
} | {
"answer": [
"Hamit Altıntop"
],
"id": "wikisql-07068",
"question": "Who is the player among the 2010 FIFA Puskás Award winners who played in Group A of UEFA Euro 2012 qualifying?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1st"
],
"style": "rule"
} | {
"answer": [
"1st"
],
"id": "wikisql-07069",
"question": "How does the UEFA Euro 2012 2010 Group A qualifying competition rank among the FIFA Puskás Awards?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07073",
"question": "What were the lowest goals ever scored for Sky Blue FC Playoff Stats Squad All Time?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Katie Hooker Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Katie Hooker Category:Articles with hCards"
],
"id": "wikisql-07080",
"question": "What is the name of all-time sky blue fc all-time stats list when appearance is 2 and position is fw?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07081",
"question": "What is the Total Assists if Minutes is 1 for All-Time Sky Blue FC All-Time Statistics Roster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20"
],
"style": "rule"
} | {
"answer": [
"20"
],
"id": "wikisql-07082",
"question": "What is the max appearance max for all time sky blue fc all time stats list when starts is 18?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rome"
],
"style": "rule"
} | {
"answer": [
"Rome"
],
"id": "wikisql-07108",
"question": "Which championship was the score 6–4, 5–7, 6–2 career stats for Svetlana Kuznetsova of Doubles: 6 (4–2) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jelena Dokić Nadia Petrova"
],
"style": "rule"
} | {
"answer": [
"Jelena Dokić Nadia Petrova"
],
"id": "wikisql-07109",
"question": "Who were the opponents in Rome Championship for doubles of Svetlana Kuznetsova career stats: 6 (4-2)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-07160",
"question": "What is the lowest total of 09-10 or 2nd among pairs of the 2009-10 figure skating 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-07161",
"question": "What is the lowest total for 09-10 or 2nd among pairs of the 2009-10 figure skating 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": [
"1200"
],
"style": "rule"
} | {
"answer": [
"1200"
],
"id": "wikisql-07162",
"question": "What was the best max of 9-10 I/O for the 2009-10 men's figure skating 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-07163",
"question": "If 09-10 i/o best is 972 what is the 2nd max of 09-10 gp/jgp for the 2009-2010 ice dancing skating 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": [
"Kharis Ralph / Asher Hill"
],
"style": "rule"
} | {
"answer": [
"Kharis Ralph / Asher Hill"
],
"id": "wikisql-07164",
"question": "If the rank is 17, what are the 2009-10 ice dance names in the figure skating 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-07165",
"question": "If the WS points are 947, what is the 2nd GP/JGP of the 08-09 ice dancing/jumping/combined figure skating season 2009-10?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07181",
"question": "How many episodes were numbered 5 for List of My Hero Series 2 (2000 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": [
"28 May 2001"
],
"style": "rule"
} | {
"answer": [
"28 May 2001"
],
"id": "wikisql-07182",
"question": "What are the original air dates for my hero episodes with production code ipea343l's Series 2 (2000 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": [
"4 June 2001"
],
"style": "rule"
} | {
"answer": [
"4 June 2001"
],
"id": "wikisql-07183",
"question": "What are the original air dates for series 2 (2000 2001) episodes with production code ipea345a in List of My Hero episodes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14 May 2001"
],
"style": "rule"
} | {
"answer": [
"14 May 2001"
],
"id": "wikisql-07184",
"question": "What are the original air dates for the My Hero episodes with 8.63 million viewers in Series 2 (2000 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": [
"Republican"
],
"style": "rule"
} | {
"answer": [
"Republican"
],
"id": "wikisql-07191",
"question": "Name the party for Spencer Bachus in the 2012 United States House of Representatives election in Alabama?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alabama 3"
],
"style": "rule"
} | {
"answer": [
"Alabama 3"
],
"id": "wikisql-07192",
"question": "What is the name of Mike Rogers' district in the 2012 United States House of Representatives election in Alabama?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alabama 6"
],
"style": "rule"
} | {
"answer": [
"Alabama 6"
],
"id": "wikisql-07193",
"question": "Name the District for Spencer Bachus in the United States House of Representatives Election, 2012 Alabama ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chip Ganassi Racing"
],
"style": "rule"
} | {
"answer": [
"Chip Ganassi Racing"
],
"id": "wikisql-07205",
"question": "Which team owns the car of an active part-time IndyCar Series team owned by Chip Ganassi?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dallara"
],
"style": "rule"
} | {
"answer": [
"Dallara"
],
"id": "wikisql-07206",
"question": "What chassis is on the car driven by team Rahal Letterman Lanigan Racing in the roster of active part-time teams in the IndyCar 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07208",
"question": "Give the district number for Tom Marino in the United States House of Representatives election, Pennsylvania 2012 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Re-elected"
],
"style": "rule"
} | {
"answer": [
"Re-elected"
],
"id": "wikisql-07211",
"question": "What are the results of the 2012 United States House of Representatives elections in Glenn Thompson's Pennsylvania?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07212",
"question": "Name the district number for Bill Shuster in the United States House of Representatives election, 2012: Pennsylvania ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"45.49"
],
"style": "rule"
} | {
"answer": [
"45.49"
],
"id": "wikisql-07215",
"question": "Among Chilean regions ranked by net enrollment rate in (Education) , what is the pre-school enrollment rate in the region where the tertiary enrollment rate is 29.55?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25.78"
],
"style": "rule"
} | {
"answer": [
"25.78"
],
"id": "wikisql-07217",
"question": "What is the tertiary enrollment rate in the rankings of Chilean regions by net enrollment rate in the region where the secondary enrollment rate is 71.43?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"43.38"
],
"style": "rule"
} | {
"answer": [
"43.38"
],
"id": "wikisql-07218",
"question": "What is the pre-school enrollment rate in the rankings of Chilean regions where the primary enrollment rate is 93.10 below the net enrollment rate in education?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"752801"
],
"style": "rule"
} | {
"answer": [
"752801"
],
"id": "wikisql-07220",
"question": "What is the number of registered female voters where the percentage in the rankings of Chilean regions in By Electorate is 108.6%?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tarapacá"
],
"style": "rule"
} | {
"answer": [
"Tarapacá"
],
"id": "wikisql-07225",
"question": "In the rankings of Chilean automatic washing machine regions, name the region that accounts for 60.9% of ownership of goods and services?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"32.2%"
],
"style": "rule"
} | {
"answer": [
"32.2%"
],
"id": "wikisql-07226",
"question": "Name the landline access for 25.6% of vehicles in the Chilean region rankings: By owning goods and services. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Aisén"
],
"style": "rule"
} | {
"answer": [
"Aisén"
],
"id": "wikisql-07227",
"question": "Name the region responsible for 39.2% vehicle among Chilean region rankings After owning goods and services. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Atacama"
],
"style": "rule"
} | {
"answer": [
"Atacama"
],
"id": "wikisql-07228",
"question": "Which region in Chilean region rankings has 0.3% solar panel access to electricity?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.3%"
],
"style": "rule"
} | {
"answer": [
"0.3%"
],
"id": "wikisql-07229",
"question": "What is the share of Atacama solar panels in the Chilean region rankings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Los Lagos"
],
"style": "rule"
} | {
"answer": [
"Los Lagos"
],
"id": "wikisql-07230",
"question": "Which region has 0.6% none of Chilean regions' access to electricity rankings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"99.3%"
],
"style": "rule"
} | {
"answer": [
"99.3%"
],
"id": "wikisql-07231",
"question": "What is the percentage of the public grid in the region that is 0.1% from other sources and 0.0% from solar and is named Maule in the rankings of Chilean regions “By Access to Electricity”?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07232",
"question": "Ranking Chilean regions by access to electricity, how many regions of Chile have 0.5% solar panels?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"22"
],
"style": "rule"
} | {
"answer": [
"22"
],
"id": "wikisql-07241",
"question": "What was the draft pick number of the player in the DL position in the third round of the 1999 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07242",
"question": "How many draft picks did the Winnipeg Blue Bombers have in the third round of the 1999 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07243",
"question": "How many colleges drafted players with LB positions in the 1999 CFL Draft 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": [
"Howard"
],
"style": "rule"
} | {
"answer": [
"Howard"
],
"id": "wikisql-07244",
"question": "Which college did the player whose position is DL come from in round three of the 1999 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": [
"Toronto"
],
"style": "rule"
} | {
"answer": [
"Toronto"
],
"id": "wikisql-07245",
"question": "Among the 1999 CFL drafts, which team has a McGill round three draft pick?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"86"
],
"style": "rule"
} | {
"answer": [
"86"
],
"id": "wikisql-07246",
"question": "What was the draft pick number for Oklahoma State's Greg Hill in the fourth round of the 1983 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07247",
"question": "What number pick was Danny Walters in the fourth round of the 1983 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": [
"Defensive tackle"
],
"style": "rule"
} | {
"answer": [
"Defensive tackle"
],
"id": "wikisql-07248",
"question": "What were the defensive tackle pick numbers picked by the New Orleans Saints in the 1983 draft considering the fourth round of the 1983 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": [
"Linebacker"
],
"style": "rule"
} | {
"answer": [
"Linebacker"
],
"id": "wikisql-07249",
"question": "What draft pick number did linebacker Steve Maidlow have in the fourth round of the 1983 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": [
"St. Louis Cardinals"
],
"style": "rule"
} | {
"answer": [
"St. Louis Cardinals"
],
"id": "wikisql-07269",
"question": "Which NFL team picked a Jackson State player in the ninth round of the 1983 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": [
"Running back"
],
"style": "rule"
} | {
"answer": [
"Running back"
],
"id": "wikisql-07270",
"question": "What position did Langston's draft pick have in the ninth round of the 1983 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07271",
"question": "How many players were the running back, draft pick by the New England Patriots in the ninth round of the 1983 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": [
"Adam Lingner"
],
"style": "rule"
} | {
"answer": [
"Adam Lingner"
],
"id": "wikisql-07272",
"question": "Who Was the 9th Round Draft Pick for the Kansas City Chiefs in the 1983 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": [
"Arizona"
],
"style": "rule"
} | {
"answer": [
"Arizona"
],
"id": "wikisql-07273",
"question": "Which college drafted the tight end for the New England Patriots in the ninth round of the 1983 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": [
"Roy Hanks/ Dave Wells 600cc Suzuki"
],
"style": "rule"
} | {
"answer": [
"Roy Hanks/ Dave Wells 600cc Suzuki"
],
"id": "wikisql-07335",
"question": "If Thursday 3rd June 20' 27.93 is 110.615 mph what are the Isle of Man TT Practice Times 2010 riders and leaderboard 600cc?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07336",
"question": "What is the total on Tuesday 1st June if Monday 31st May 20' 15.35 is 111.761mph below the Isle of Man TT 2010 practice times and the 600cc ranking?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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` 01.41 113.058mph"
],
"style": "rule"
} | {
"answer": [
"20` 01.41 113.058mph"
],
"id": "wikisql-07337",
"question": "What is Friday 4th June when Wednesday 2nd June 20' is 11.98 112.071mph for the 2010 Isle of Man TT 600cc practice times and standings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07338",
"question": "If Tuesday 1st June 21:05:27 is 107.351 mph what is the total number of riders under the 2010 Isle of Man TT Practice Times and Leaderboard 600cc?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikisql-07339",
"question": "If Tuesday 1st June 20' 59.60 is 107.834mph what is the rank maximum for practice times and leaderboard 600cc at the 2010 Isle of Man TT?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Time"
],
"style": "rule"
} | {
"answer": [
"—— No Time"
],
"id": "wikisql-07340",
"question": "What is Friday 4th June when Wednesday 2nd June is 20' 50.62 108.608 mph under the 2010 Isle of Man TT Practice Times and Leaderboard 600cc?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Time"
],
"style": "rule"
} | {
"answer": [
"—— No Time"
],
"id": "wikisql-07341",
"question": "What is the time for the rider with a time of 17' 48.58 127.111mph on 3 Jun 2010 Isle of Man TT's practice times & leaderboard Superstock TT ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Time"
],
"style": "rule"
} | {
"answer": [
"—— No Time"
],
"id": "wikisql-07343",
"question": "What is the time on June 3rd for the rider with the time on June 2nd of 17' 45.11 127.525mph under the 2010 Isle of Man TT practice times and Superstock TT leaderboards?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Keith Amor 1000cc BMW"
],
"style": "rule"
} | {
"answer": [
"Keith Amor 1000cc BMW"
],
"id": "wikisql-07344",
"question": "Who finishes 2nd in the 2010 Isle of Man TT in the Practice Times Leaderboard Superstock TT?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sorority"
],
"style": "rule"
} | {
"answer": [
"Sorority"
],
"id": "wikisql-07434",
"question": "What type of organization is Sigma Phi Omega among Asian American fraternities and sororities with cultural interest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07435",
"question": "How many types of organizations were formed at San Diego State University among culturally interested fraternities and sororities from Asia and 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": [
"Sigma Phi Omega"
],
"style": "rule"
} | {
"answer": [
"Sigma Phi Omega"
],
"id": "wikisql-07436",
"question": "Among the culturally interested fraternities and sororities, what is the name of the sorority aka \"Sigmas\" that was founded at the Asian American University of Southern California?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07457",
"question": "What is the average rank for the Dancing with the Stars (US Season 10) team that achieved an average of 22.8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kate & Tony"
],
"style": "rule"
} | {
"answer": [
"Kate & Tony"
],
"id": "wikisql-07459",
"question": "Which couple from Dancing with the Stars (US season 10) averaged 15.5?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-07460",
"question": "What is the lowest average rank for a team in Dancing with the Stars (US Season 10) averaging 22.8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Robin"
],
"style": "rule"
} | {
"answer": [
"Round Robin"
],
"id": "wikisql-07507",
"question": "What type of rounds of Fed Cup Doubles (10) did Hanne Skak Jensen's opponent of South Africa compete in?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1859"
],
"style": "rule"
} | {
"answer": [
"1859"
],
"id": "wikisql-07509",
"question": "When was the university founded, which affiliated with the USA South Athletic Conference in 1978 for current members?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1897"
],
"style": "rule"
} | {
"answer": [
"1897"
],
"id": "wikisql-07510",
"question": "When was Piedmont College formed among the current members of the USA South Athletic Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1891"
],
"style": "rule"
} | {
"answer": [
"1891"
],
"id": "wikisql-07511",
"question": "When were the Avenging Angels formed in the current members of the USA South Athletic Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Charlotte, North Carolina"
],
"style": "rule"
} | {
"answer": [
"Charlotte, North Carolina"
],
"id": "wikisql-07513",
"question": "Which place is nicknamed the 49ers in the former members of the USA South Athletic Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Greensboro, North Carolina"
],
"style": "rule"
} | {
"answer": [
"Greensboro, North Carolina"
],
"id": "wikisql-07514",
"question": "Where does the University of North Carolina at Greensboro rank among past members of the USA South Athletic Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Greensboro, North Carolina"
],
"style": "rule"
} | {
"answer": [
"Greensboro, North Carolina"
],
"id": "wikisql-07515",
"question": "Where does the University of North Carolina at Greensboro rank among past members of the USA South Athletic Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19.20"
],
"style": "rule"
} | {
"answer": [
"19.20"
],
"id": "wikisql-07553",
"question": "What was the LOA when the elapsed time was 3:06:41:37 in the top 10 results of the 2009 Line Honors Sydney to Hobart Yacht Race?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"27.38"
],
"style": "rule"
} | {
"answer": [
"27.38"
],
"id": "wikisql-07554",
"question": "What was the LOA for the Simonis Voogd Maxi in 2009 Sydney to Hobart Yacht Race's Line Honors Results (Top 10)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-07555",
"question": "What position did skipper Mark Richards place in the 2009 Sydney to Hobart Yacht Race Line Honors Results (Top 10)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Farr Maxi"
],
"style": "rule"
} | {
"answer": [
"Farr Maxi"
],
"id": "wikisql-07556",
"question": "What is the Yacht Type of Icap Leopard in the 2009 Line Honors Results Sydney to Hobart Yacht Race (Top 10)?",
"split": "train"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.