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": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-64606",
"question": "Tell me Arsenal's lowest Emirates Cup winner and Celtic's third?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64616",
"question": "What is silver if gold is 1 and the rank is less than 3 for the 2006 World Junior Figure Skating Championships in Japan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64617",
"question": "What is the rank for less than 1 total at the 2006 World Junior Figure Skating Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-64618",
"question": "What is the gold at the 2006 World Junior Figure Skating Championships if the total is less than 2 and the rank is 3 and Canada is the nation?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"21.35"
],
"style": "rule"
} | {
"answer": [
"21.35"
],
"id": "wikisql-64625",
"question": "What is the area in km² if the density hab/km is 8,321 among the districts of Barcelona?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"11"
],
"id": "wikisql-64632",
"question": "In the Eurovision Song Contest 1999, what is the draw amount for Slovenia that has less than 5 places, less than 62 points and a song of \"ne izdajte me\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64633",
"question": "How many draws for the Avia band with over 22 points for Slovenia in the 1999 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"December 7, 2007",
"February 8, 2008"
],
"style": "rule"
} | {
"answer": [
"December 7, 2007",
"February 8, 2008"
],
"id": "wikisql-64647",
"question": "What is the Europe date for Live in Las Vegas: A New Day...?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"68146"
],
"style": "rule"
} | {
"answer": [
"68146"
],
"id": "wikisql-64650",
"question": "In the 1978 Tampa Bay Buccaneers football season when the record was 4-4, how many people attended?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"L 7-15"
],
"style": "rule"
} | {
"answer": [
"L 7-15"
],
"id": "wikisql-64651",
"question": "When the Tampa Bay Buccaneers played the Detroit Lions at Tampa Stadium during the 1978 season, what was the result?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 9, 1978"
],
"style": "rule"
} | {
"answer": [
"September 9, 1978"
],
"id": "wikisql-64652",
"question": "On what date did 64,443 people attend a Tampa Bay Buccaneers game from the 1978 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": [
"Rancagua"
],
"style": "rule"
} | {
"answer": [
"Rancagua"
],
"id": "wikisql-64665",
"question": "With which association did Refrain II run as horse 1 at the National Rodeo Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Taponazo"
],
"style": "rule"
} | {
"answer": [
"Taponazo"
],
"id": "wikisql-64666",
"question": "Which horse was horse 1 when René Guzmán rode with the Mulchén Association at the National Rodeo Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Carlos Mondaca",
"Carlos Mondaca"
],
"style": "rule"
} | {
"answer": [
"Carlos Mondaca",
"Carlos Mondaca"
],
"id": "wikisql-64667",
"question": "Who was the second rider when Papayero competed as horse 1 in the city of Rancagua in the national rodeo 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": [
"Best Musical",
"Michael Stewart",
"Robert Preston",
"Bernadette Peters",
"Robin Wagner",
"Patricia Zipprodt",
"Gower Champion",
"Gower Champion"
],
"style": "rule"
} | {
"answer": [
"Best Musical",
"Michael Stewart",
"Robert Preston",
"Bernadette Peters",
"Robin Wagner",
"Patricia Zipprodt",
"Gower Champion",
"Gower Champion"
],
"id": "wikisql-64672",
"question": "Which nominee has a Tony Award among Mack & Mabel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1975"
],
"style": "rule"
} | {
"answer": [
"1975"
],
"id": "wikisql-64673",
"question": "What was the year Bernadette Peters was nominated for a Tony Award under Mack & Mabel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Best Book of a Musical"
],
"style": "rule"
} | {
"answer": [
"Best Book of a Musical"
],
"id": "wikisql-64674",
"question": "In which category was Michael Stewart nominated under Mack & Mabel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"金点唱片"
],
"style": "rule"
} | {
"answer": [
"金点唱片"
],
"id": "wikisql-64676",
"question": "What label does Max Mok own the album titled Meet You released in 1994?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1993.0"
],
"style": "rule"
} | {
"answer": [
"1993.0"
],
"id": "wikisql-64677",
"question": "What is the earliest release year for Max Mok's album titled 艺能动音?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Legends of the Arena"
],
"style": "rule"
} | {
"answer": [
"Legends of the Arena"
],
"id": "wikisql-64678",
"question": "What is the Asylum Arena promotion if the arena was the venue and event of the legends of the arena?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rocco Rock"
],
"style": "rule"
} | {
"answer": [
"Rocco Rock"
],
"id": "wikisql-64679",
"question": "What is the name of the initiate for the ecw arena for Asylum Arena?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Combat Zone Wrestling"
],
"style": "rule"
} | {
"answer": [
"Combat Zone Wrestling"
],
"id": "wikisql-64680",
"question": "What is the Asylum Arena promotion if the event was Acid Fest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Philadelphia, Pennsylvania"
],
"style": "rule"
} | {
"answer": [
"Philadelphia, Pennsylvania"
],
"id": "wikisql-64681",
"question": "What is the location where the November event was held at the Asylum Arena?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ring of Honor Wrestling"
],
"style": "rule"
} | {
"answer": [
"Ring of Honor Wrestling"
],
"id": "wikisql-64682",
"question": "What was Jerry Lynn, the initiate for Asylum Arena, anyway?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"L 23–0"
],
"style": "rule"
} | {
"answer": [
"L 23–0"
],
"id": "wikisql-64692",
"question": "What is the result of the 2005 New York Giants season for the wild card?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"December 31, 2005"
],
"style": "rule"
} | {
"answer": [
"December 31, 2005"
],
"id": "wikisql-64693",
"question": "On what date was the 2005 New York Giants game of week 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": [
"67102"
],
"style": "rule"
} | {
"answer": [
"67102"
],
"id": "wikisql-64694",
"question": "What was the New York Giants week 12 attendance of the 2005 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": [
"W 30–21"
],
"style": "rule"
} | {
"answer": [
"W 30–21"
],
"id": "wikisql-64695",
"question": "What was the December 31, 2005 score for the New York Giants?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64709",
"question": "Among the members of the 23rd Seanad I would like to know the total number of the National University of Ireland with an Agriculture Board of 0 and a Working Board of more than 0?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64710",
"question": "Tell me the total number of governing bodies with more than 2 working bodies, more than 6 nominated by the Taoiseach and a total of 28 for members of the 23rd Seanad?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Irina Yarotska ( UKR )",
"Marine Debauve ( FRA )",
"Allana Slater ( AUS )",
"Daniele Hypólito ( BRA )",
"Stefani Bismpikou ( GRE )",
"Kwang Sun Pyon ( PRK )",
"Kate Richardson ( CAN )",
"Melanie Banville ( CAN )"
],
"style": "rule"
} | {
"answer": [
"Irina Yarotska ( UKR )",
"Marine Debauve ( FRA )",
"Allana Slater ( AUS )",
"Daniele Hypólito ( BRA )",
"Stefani Bismpikou ( GRE )",
"Kwang Sun Pyon ( PRK )",
"Kate Richardson ( CAN )",
"Melanie Banville ( CAN )"
],
"id": "wikisql-64725",
"question": "Which gymnast... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Kingdom"
],
"style": "rule"
} | {
"answer": [
"United Kingdom"
],
"id": "wikisql-64726",
"question": "Which country ranks 24th among the Northern Lites?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1999"
],
"style": "rule"
} | {
"answer": [
"1999"
],
"id": "wikisql-64727",
"question": "Name the highest year ranking 22nd honors singles of 1999 among the Northern Lites. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikisql-64728",
"question": "What is the largest grid with a driver from Piers Courage 1968 Belgian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ygnacio Ortega"
],
"style": "rule"
} | {
"answer": [
"Ygnacio Ortega"
],
"id": "wikisql-64739",
"question": "Name the grantee for ranchos of california in san ysidro?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Santa Clara"
],
"style": "rule"
} | {
"answer": [
"Santa Clara"
],
"id": "wikisql-64740",
"question": "From Ranchos of California, can you tell me the district for Mariano Castro?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"José Dario Argüello"
],
"style": "rule"
} | {
"answer": [
"José Dario Argüello"
],
"id": "wikisql-64741",
"question": "Name the grantee of las pulgas at Ranchos of California in 1795. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"76.0"
],
"style": "rule"
} | {
"answer": [
"76.0"
],
"id": "wikisql-64752",
"question": "How many laps is +1 lap time/lag and Mark Blundell is the driver in the 1993 Hungarian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-64753",
"question": "What is the highest grid for the 1993 Hungarian Grand Prix when time/retirement is the fuel pump and the lap count is more than 26?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-64754",
"question": "What is the fewest laps for driver Gerhard Berger with a starting grid of more than 6 in the 1993 Hungarian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"aku/I-aku"
],
"style": "rule"
} | {
"answer": [
"aku/I-aku"
],
"id": "wikisql-64755",
"question": "What is the Kapampangan word for the Malay word aku from Bidayuh?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"aku"
],
"style": "rule"
} | {
"answer": [
"aku"
],
"id": "wikisql-64756",
"question": "What is the word Lundu (Salako) for the Siburan Pandawan word ěku among the Bidayuhs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Pamakanan,"
],
"style": "rule"
} | {
"answer": [
"Pamakanan,"
],
"id": "wikisql-64757",
"question": "What is the lundu (salako) word for the tagalog word food under bidayuh?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"tubi"
],
"style": "rule"
} | {
"answer": [
"tubi"
],
"id": "wikisql-64758",
"question": "What is the Siburan Padawan word for the Tagalog word kanin among the Bidayuh people?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"24"
],
"style": "rule"
} | {
"answer": [
"24"
],
"id": "wikisql-64764",
"question": "What is the total number of stations with a line being U 6 for the Vienna U-Bahn?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ottakring – Simmering"
],
"style": "rule"
} | {
"answer": [
"Ottakring – Simmering"
],
"id": "wikisql-64765",
"question": "Which route has 21 stations under U-Bahn Wien ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"U 4"
],
"style": "rule"
} | {
"answer": [
"U 4"
],
"id": "wikisql-64766",
"question": "Which line was green in the Vienna subway?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Oil pressure"
],
"style": "rule"
} | {
"answer": [
"Oil pressure"
],
"id": "wikisql-64777",
"question": "I want the time/retirement for Grid of 13 under the 1952 Dutch Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-64778",
"question": "Tell me the highest grid for Maurice Trintignant and less than 87 laps for the 1952 Dutch Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19"
],
"style": "rule"
} | {
"answer": [
"19"
],
"id": "wikisql-64779",
"question": "I want the lowest laps for the time/engine and driver of retired Charles de Tornaco for the 1952 Dutch Grand Prix. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chiba , Japan"
],
"style": "rule"
} | {
"answer": [
"Chiba , Japan"
],
"id": "wikisql-64784",
"question": "I want the location for the round of 3 and the time of 4:40 for Hideki Kadowaki?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ferrari"
],
"style": "rule"
} | {
"answer": [
"Ferrari"
],
"id": "wikisql-64801",
"question": "Who built Michael Schumacher's car that completed less than 31 laps at the 2001 San Marino Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-64802",
"question": "How many starting places for Heinz-Harald Frentzen with 61 laps in the 2001 San Marino Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Del Tongo-Colnago"
],
"style": "rule"
} | {
"answer": [
"Del Tongo-Colnago"
],
"id": "wikisql-64807",
"question": "Name the Trofeo Fast team for Roberto Visentini under the 1986 Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Flavio Giupponi"
],
"style": "rule"
} | {
"answer": [
"Flavio Giupponi"
],
"id": "wikisql-64808",
"question": "Name the Young Rider rating for Giuseppe Saronni on Stage 6 of the 1986 Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Flavio Giupponi"
],
"style": "rule"
} | {
"answer": [
"Flavio Giupponi"
],
"id": "wikisql-64809",
"question": "What is the young rider classification for Jesper Worre and Stage 3 in the 1986 Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sauber - Petronas"
],
"style": "rule"
} | {
"answer": [
"Sauber - Petronas"
],
"id": "wikisql-64826",
"question": "At the 2004 Canadian Grand Prix, who is the constructor if the grid is more than 10 and the time/retirement is +1 lap?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64827",
"question": "What is the highest starting grid in the 2004 Canadian Grand Prix if the lap count is less than 44 and the constructor is Renault?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8"
],
"style": "rule"
} | {
"answer": [
"8"
],
"id": "wikisql-64834",
"question": "Tell me about 1958 when 1957 is dnf-9 for Federico Bahamontes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"67 goals"
],
"style": "rule"
} | {
"answer": [
"67 goals"
],
"id": "wikisql-64843",
"question": "How many goals were scored with a pos greater than 4 and active in 2001 under Sándor Kocsis ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64844",
"question": "On which day did you play Bolton Wanderers with a score FA 1-2 under 2002-03 Middlesbrough 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": [
"W 31-17"
],
"style": "rule"
} | {
"answer": [
"W 31-17"
],
"id": "wikisql-64858",
"question": "What is the week 12 result for the 1955 Los Angeles Rams 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": [
"88.9 FM"
],
"style": "rule"
} | {
"answer": [
"88.9 FM"
],
"id": "wikisql-64863",
"question": "Name the frequency MHz for fcc and ERP W of 9 watts for KCMP?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"88.7 FM"
],
"style": "rule"
} | {
"answer": [
"88.7 FM"
],
"id": "wikisql-64864",
"question": "Name the frequency MHz for ERP W of 850 watts for KCMP?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"[http://www.fcc.gov/fcc-bin/fmq?call= KPCC FCC]"
],
"style": "rule"
} | {
"answer": [
"[http://www.fcc.gov/fcc-bin/fmq?call= KPCC FCC]"
],
"id": "wikisql-64865",
"question": "Do you rename the FCC information for kpcc's callsign to KCMP?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"FCC"
],
"style": "rule"
} | {
"answer": [
"FCC"
],
"id": "wikisql-64866",
"question": "Provide the FCC information for the frequency Mhz of 95.3 fm of KCMP?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Northfield, Minnesota"
],
"style": "rule"
} | {
"answer": [
"Northfield, Minnesota"
],
"id": "wikisql-64867",
"question": "In KCMP, give the license city of kcmp's call sign?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6–4, 7–6"
],
"style": "rule"
} | {
"answer": [
"6–4, 7–6"
],
"id": "wikisql-64890",
"question": "What was the final score for Neil Broad on August 14, 1994?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Amsterdam , Netherlands"
],
"style": "rule"
} | {
"answer": [
"Amsterdam , Netherlands"
],
"id": "wikisql-64891",
"question": "Which tournament had a final score of 6-7, 2-6 and a Wayne Arthur partner considering Neil Broad?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Warrington Wolves U21"
],
"style": "rule"
} | {
"answer": [
"Warrington Wolves U21"
],
"id": "wikisql-64892",
"question": "Who was the opponent in Round 17 for Wigan Warriors Youth Development?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64893",
"question": "In which round did the Wakefield Trinity Wildcats u21 see their opponent in the Belle Vue among the Wigan Warriors Youth Development?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64894",
"question": "What round took place at Galparm Stadium under Wigan Warriors youth development?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"VfB Leipzig II"
],
"style": "rule"
} | {
"answer": [
"VfB Leipzig II"
],
"id": "wikisql-64908",
"question": "Who was the winner when Chemnitzer FC II finished second in the Sachsenpokal?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9.16 (8)"
],
"style": "rule"
} | {
"answer": [
"9.16 (8)"
],
"id": "wikisql-64909",
"question": "What is the preliminary Utah average for Miss Teen USA 1995?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"China"
],
"style": "rule"
} | {
"answer": [
"China"
],
"id": "wikisql-64914",
"question": "What is the country where the recognized bee is no and the year(s) for the garden party is 2014?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"International"
],
"style": "rule"
} | {
"answer": [
"International"
],
"id": "wikisql-64915",
"question": "What is the type of garden party if the recognized bee is yes and year(s) is 1960?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"International"
],
"style": "rule"
} | {
"answer": [
"International"
],
"id": "wikisql-64916",
"question": "What is the type of garden party if the bee is recognized yes, the festival name is Floriade and the year/s is 2002 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1999"
],
"style": "rule"
} | {
"answer": [
"1999"
],
"id": "wikisql-64917",
"question": "What year is the city the Kunming in Garden Festival?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"International"
],
"style": "rule"
} | {
"answer": [
"International"
],
"id": "wikisql-64918",
"question": "What is the type of garden party in 1982?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Henry Hathaway"
],
"style": "rule"
} | {
"answer": [
"Henry Hathaway"
],
"id": "wikisql-64921",
"question": "Who directed before 1949 with Linda Darnell at the helm and Jonathan Kent in the Tyrone Power filmography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Betty Grable"
],
"style": "rule"
} | {
"answer": [
"Betty Grable"
],
"id": "wikisql-64922",
"question": "Who is the main actress in a Yank in the Raf in Tyrone Power filmography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Blood and Sand"
],
"style": "rule"
} | {
"answer": [
"Blood and Sand"
],
"id": "wikisql-64923",
"question": "What title did Rouben Mamoulian direct in the post-1940 Tyrone Power filmography starring Linda Darnell?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rouben Mamoulian"
],
"style": "rule"
} | {
"answer": [
"Rouben Mamoulian"
],
"id": "wikisql-64924",
"question": "Who is Directing Before 1948 Starring Linda Darnell titled Blood and Sand under Tyrone Power Filmography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Helmut Marko"
],
"style": "rule"
} | {
"answer": [
"Helmut Marko"
],
"id": "wikisql-64925",
"question": "Which driver had 3 laps and fewer than 15 grid positions in the 1971 Italian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Engine"
],
"style": "rule"
} | {
"answer": [
"Engine"
],
"id": "wikisql-64926",
"question": "I want the time/retirement with grid less than 22 and laps less than 33 for John Surtees from the 1971 Italian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"—"
],
"style": "rule"
} | {
"answer": [
"—"
],
"id": "wikisql-64931",
"question": "Which giant slalom under Alberto Tomba had a total of 25?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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",
"43",
"—"
],
"style": "rule"
} | {
"answer": [
"8",
"43",
"—"
],
"id": "wikisql-64932",
"question": "Which Super-G had a slalom less than 5 when the giant slalom was 1 for Alberto Tomba?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"—"
],
"style": "rule"
} | {
"answer": [
"—"
],
"id": "wikisql-64933",
"question": "Which giant slalom was won for Tomba Alberto in the 1997 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-64940",
"question": "What is the October 13, 1968 league record and is greater than week 5 of the 1968 Los Angeles Rams 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": [
"7"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikisql-64941",
"question": "What was the October 27, 1968 attendance during the 1968 Los Angeles Rams 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-64942",
"question": "What was the 1968 Los Angeles Rams attendance on November 3, 1968, a week less than 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": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-64943",
"question": "What is the lowest ranked team in Australia under Innovation?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2–0"
],
"style": "rule"
} | {
"answer": [
"2–0"
],
"id": "wikisql-64944",
"question": "What score happened February 11, 1996 in Dmitri Alenichev?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6–1"
],
"style": "rule"
} | {
"answer": [
"6–1"
],
"id": "wikisql-64945",
"question": "What was the result of the Euro 2000 qualifying competition under Dmitri Alenichev?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ta` Qali National Stadium , Valletta"
],
"style": "rule"
} | {
"answer": [
"Ta` Qali National Stadium , Valletta"
],
"id": "wikisql-64946",
"question": "What setting was used in Dmitri Alenichev's (February 11, 1996)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Stade Josy Barthel , Luxembourg"
],
"style": "rule"
} | {
"answer": [
"Stade Josy Barthel , Luxembourg"
],
"id": "wikisql-64947",
"question": "Which venue has a 1-0 score and a contest among the 2002 World Cup qualifier for Dmitri Alenichev?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Arrows A21"
],
"style": "rule"
} | {
"answer": [
"Arrows A21"
],
"id": "wikisql-64948",
"question": "Which Jos Verstappen chassis scored 5 points in the all teams list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-64949",
"question": "What's the bottom overall for Arrow's A22 chassis under Jos Verstappen?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-64950",
"question": "How many points for the simtek s951 chassis under Jos Verstappen?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Coloni C3B",
"Coloni C3C",
"Coloni C4"
],
"style": "rule"
} | {
"answer": [
"Coloni C3B",
"Coloni C3C",
"Coloni C4"
],
"id": "wikisql-64951",
"question": "What chassis did Enzo Coloni Racing Car Systems have a year later than 1989?",
"split": "train"
} |
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