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": [
"Mom, I Am Alive"
],
"style": "rule"
} | {
"answer": [
"Mom, I Am Alive"
],
"id": "wikisql-55536",
"question": "What is the name of the German film originally called Mama, ich Lebe in the list of entries for the 50th Academy Awards for Best Foreign Language Film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ettore Scola"
],
"style": "rule"
} | {
"answer": [
"Ettore Scola"
],
"id": "wikisql-55537",
"question": "Which Italian director is shortlisted for the 50th Annual Academy Awards for Best Foreign Language Film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Iran"
],
"style": "rule"
} | {
"answer": [
"Iran"
],
"id": "wikisql-55538",
"question": "Where is director Dariush Mehrjui in the entry list for the 50th Academy Awards for Best Foreign Language Film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"TFK/TTK"
],
"style": "rule"
} | {
"answer": [
"TFK/TTK"
],
"id": "wikisql-55543",
"question": "In the case of trailers formed from Pan/Pul/Res cars for the SR class, call 6Pul ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-COR(N)"
],
"style": "rule"
} | {
"answer": [
"4-COR(N)"
],
"id": "wikisql-55544",
"question": "SR class 6Pul, name the typified for third in Res unit formed from 6-pul followers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"PAN/PUL/RES cars"
],
"style": "rule"
} | {
"answer": [
"PAN/PUL/RES cars"
],
"id": "wikisql-55545",
"question": "Name the entity that has type 4-Cor under SR class 6Pul?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55548",
"question": "What was the biggest scores Alan Brown (racer) had a year before 1953?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1952"
],
"style": "rule"
} | {
"answer": [
"1952"
],
"id": "wikisql-55549",
"question": "How many years did Alan Brown (racer) have more than 0 points?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ecurie Richmond"
],
"style": "rule"
} | {
"answer": [
"Ecurie Richmond"
],
"id": "wikisql-55550",
"question": "Which applicant was there for Alan Brown (racing driver) before 1953?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alfa Records"
],
"style": "rule"
} | {
"answer": [
"Alfa Records"
],
"id": "wikisql-55554",
"question": "Which label has Halle (album) cataloged as alca-9013?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"32XA-38",
"ALCA-283",
"ALCA-9013",
"ALCA-9208"
],
"style": "rule"
} | {
"answer": [
"32XA-38",
"ALCA-283",
"ALCA-9013",
"ALCA-9208"
],
"id": "wikisql-55555",
"question": "Von Halle (album), which catalog was formatted as a CD under the Alfa Records label?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55556",
"question": "What is the earliest year supplied 1965 with a November 1971 entry into service for the PoAF serial number less than 7103 in the list of Douglas A-26 Invader operators?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Denny Kantono Antonius Ariantho"
],
"style": "rule"
} | {
"answer": [
"Denny Kantono Antonius Ariantho"
],
"id": "wikisql-55570",
"question": "Who was Choong Tan Fook's opponent under Cheah Soon Kit in 1999?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Candra Wijaya Tony Gunawan"
],
"style": "rule"
} | {
"answer": [
"Candra Wijaya Tony Gunawan"
],
"id": "wikisql-55571",
"question": "Which opponent played for Cheah Soon Kit at the Chinese Taipei Open in 2000?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55572",
"question": "How many bronze medals does a Nation of Jamaica (jam) and total less than 7 have in track and field at the 2007 Pan American Games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-55573",
"question": "What is the average silver value with more than 0 gold, a rank of 1 and a total less than 30 for Athletics at the 2007 Pan American Games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-55574",
"question": "What is the total gold count with a total less than 1 for track and field at the 2007 Pan American Games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8943"
],
"style": "rule"
} | {
"answer": [
"8943"
],
"id": "wikisql-55575",
"question": "Which NIR number applies to the type tso (ex-br class 488 unit 488305) which has a 6082 / 72605 BR number in the coaching stock of Ireland?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"釋訓"
],
"style": "rule"
} | {
"answer": [
"釋訓"
],
"id": "wikisql-55579",
"question": "Do you name the Chinese with adjectives, adverbs, mostly with doubling under Erya?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55580",
"question": "What is the total number of Chinese chapters of 釋宮 in Erya?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55581",
"question": "Name the highest Chinese chapter of 釋言 in erya?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12"
],
"style": "rule"
} | {
"answer": [
"12"
],
"id": "wikisql-55582",
"question": "Under Erya, name the chapter with Chinese of 釋水?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Equipe Gordini"
],
"style": "rule"
} | {
"answer": [
"Equipe Gordini"
],
"id": "wikisql-55583",
"question": "Who used Gordini Straight-6 in 1956 under André Pilette?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tim Parnell",
"André Pilette"
],
"style": "rule"
} | {
"answer": [
"Tim Parnell",
"André Pilette"
],
"id": "wikisql-55584",
"question": "Who was under André Pilette in 1963?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55595",
"question": "How many points after 1956 for Robert Manzon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Simca Gordini Type 15"
],
"style": "rule"
} | {
"answer": [
"Simca Gordini Type 15"
],
"id": "wikisql-55596",
"question": "Before 1956, which chassis has the Gordini straight-4 engine with 3 points under Robert Manzon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gordini Straight-4",
"Gordini Straight-4"
],
"style": "rule"
} | {
"answer": [
"Gordini Straight-4",
"Gordini Straight-4"
],
"id": "wikisql-55597",
"question": "Which engine was used by Equipe Simca Gordini before 1956 with less than 4 points under Robert Manzon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 625"
],
"style": "rule"
} | {
"answer": [
"Ferrari 625"
],
"id": "wikisql-55598",
"question": "Which chassis has less than 9 points from Equipe Rosier under Robert Manzon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kyle Gouge Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Kyle Gouge Category:Articles with hCards"
],
"id": "wikisql-55599",
"question": "Who is the 2008 Season Winner of the Scott Rupp Award (PIHA)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"West Competition David Price Racing"
],
"style": "rule"
} | {
"answer": [
"West Competition David Price Racing"
],
"id": "wikisql-55608",
"question": "Before 2008, which team under Peter Kox finished 3rd in class with 337 laps?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"LMP1"
],
"style": "rule"
} | {
"answer": [
"LMP1"
],
"id": "wikisql-55609",
"question": "In which class did Peter Kox have 252 laps and a dnf position?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"22nd"
],
"style": "rule"
} | {
"answer": [
"22nd"
],
"id": "wikisql-55610",
"question": "Which position of Peter Kox finished 3rd in class and completed less than 338 laps?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3rd"
],
"style": "rule"
} | {
"answer": [
"3rd"
],
"id": "wikisql-55611",
"question": "What position did Peter Kox hold in 1997?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nike"
],
"style": "rule"
} | {
"answer": [
"Nike"
],
"id": "wikisql-55612",
"question": "Which kit manufacturer will sponsor Arsenal in the 1999-2000 FA Premier League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dennis Wise"
],
"style": "rule"
} | {
"answer": [
"Dennis Wise"
],
"id": "wikisql-55613",
"question": "Which captain is managed by Gianluca Vialli in the 1999–2000 FA Premier League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Umbro"
],
"style": "rule"
} | {
"answer": [
"Umbro"
],
"id": "wikisql-55614",
"question": "Which kit manufacturer supports Team Everton in the 1999-2000 FA Premier League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Leeds United"
],
"style": "rule"
} | {
"answer": [
"Leeds United"
],
"id": "wikisql-55615",
"question": "Which team does David O'leary manage in the 1999-2000 FA Premier League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dreamcast"
],
"style": "rule"
} | {
"answer": [
"Dreamcast"
],
"id": "wikisql-55616",
"question": "Which 1999-2000 FA Premier League Kit Sponsor Has Nike As Kit Maker?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55622",
"question": "Which position in the 1975-76 Segunda División has the highest with less than 54 goals, a loss of 7 and a goal difference of more than 23?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55623",
"question": "Which is the lowest game with 28-10 points and more than 29 goals for the 1975-76 Segunda División?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55624",
"question": "How many positions in the 1975–76 Segunda División have 14 wins, 61 goals conceded and fewer than 19 losses?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55625",
"question": "What is the average defeat with a goal over 51 and wins over 14 in the 1975-76 Segunda División?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2003"
],
"style": "rule"
} | {
"answer": [
"2003"
],
"id": "wikisql-55628",
"question": "In which year did Conrad Hückstädt win the men's singles at Greece International?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Georgi Petrov Constanti Dobrev"
],
"style": "rule"
} | {
"answer": [
"Georgi Petrov Constanti Dobrev"
],
"id": "wikisql-55629",
"question": "Who won the men's doubles at the Greece International Tennis Championships in the same year as Florentina Petre won the women's singles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2004",
"2006",
"2009 2010"
],
"style": "rule"
} | {
"answer": [
"2004",
"2006",
"2009 2010"
],
"id": "wikisql-55630",
"question": "In which year did Greece International not have a women's competition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Takaka"
],
"style": "rule"
} | {
"answer": [
"Takaka"
],
"id": "wikisql-55631",
"question": "From the list of schools in the Tasman Region, in which area is Central Takaka School located?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55632",
"question": "What is Mach with vehicle flight #m2-f2 #8 and altitude (meters) greater than 13,716 at Northrop M2-F2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"M2-F2 #16"
],
"style": "rule"
} | {
"answer": [
"M2-F2 #16"
],
"id": "wikisql-55633",
"question": "What vehicle flight number does Pilot Peterson have and a speed (km/h) of 649 at Northrop M2-F2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"October 12, 1966"
],
"style": "rule"
} | {
"answer": [
"October 12, 1966"
],
"id": "wikisql-55634",
"question": "Which datum has a Mach of 0.662 for Northrop M2-F2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"George Darby"
],
"style": "rule"
} | {
"answer": [
"George Darby"
],
"id": "wikisql-55635",
"question": "In East Sussex (constituency of the British Parliament) in 1837 the 2nd member of the 2nd party was Conservative. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Liberal"
],
"style": "rule"
} | {
"answer": [
"Liberal"
],
"id": "wikisql-55636",
"question": "What was the first party in East Sussex (constituency of the British Parliament) in 1865?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Will Davison"
],
"style": "rule"
} | {
"answer": [
"Will Davison"
],
"id": "wikisql-55637",
"question": "Who was the team co-driver with 160+ laps and number 6 after 2010 for Steve Owen (racer)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55638",
"question": "What is the fewest laps for a team with a position of DNF and a number less than 25 before 2001 for Steve Owen (racer)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"M"
],
"style": "rule"
} | {
"answer": [
"M"
],
"id": "wikisql-55639",
"question": "What is the gender of Luc Desnoyers among the Bloc Québécois candidates in the 2008 Canadian federal election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11625"
],
"style": "rule"
} | {
"answer": [
"11625"
],
"id": "wikisql-55640",
"question": "What is the highest number of votes for the French professor among the Bloc Québécois candidates in the 2008 Canadian federal election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cassiopeia"
],
"style": "rule"
} | {
"answer": [
"Cassiopeia"
],
"id": "wikisql-55641",
"question": "Where is Hip 4872 under Active SETI?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dutch"
],
"style": "rule"
} | {
"answer": [
"Dutch"
],
"id": "wikisql-55642",
"question": "Which language does the film Rosie speak among the Belgian entries for the Oscar for Best Foreign Language Film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rosie"
],
"style": "rule"
} | {
"answer": [
"Rosie"
],
"id": "wikisql-55643",
"question": "What was the name of Rosie, the film nominated for the Dutch language among the Belgian entries for the Oscar for best foreign language film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tim Dettmann Annekatrin Lillie"
],
"style": "rule"
} | {
"answer": [
"Tim Dettmann Annekatrin Lillie"
],
"id": "wikisql-55645",
"question": "Who won the Finnish International mixed doubles in 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Vitalij Durkin Nina Vislova"
],
"style": "rule"
} | {
"answer": [
"Vitalij Durkin Nina Vislova"
],
"id": "wikisql-55646",
"question": "Who won mixed doubles when Juliane Schenk won women's singles at Finnish International?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7.0"
],
"style": "rule"
} | {
"answer": [
"7.0"
],
"id": "wikisql-55647",
"question": "What is the average number of rounds played by player Adrien Clarke on the Ohio State Buckeyes football team in 2003?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikisql-55648",
"question": "What is the highest round count of a pick after 209 for the 2003 Ohio State Buckeyes football team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Conservative Party"
],
"style": "rule"
} | {
"answer": [
"Conservative Party"
],
"id": "wikisql-55663",
"question": "What was the 2nd party that 2nd Member John Barneby had when the 1st party in East Worcestershire (UK Parliament constituency) was Conservative?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Liberal"
],
"style": "rule"
} | {
"answer": [
"Liberal"
],
"id": "wikisql-55664",
"question": "What was the 2nd party when the 1st member was John Hodgetts-Foley and the 2nd member was the Hon Frederick Gough-Calthorpe for East Worcestershire (UK Parliament constituency) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Liberal"
],
"style": "rule"
} | {
"answer": [
"Liberal"
],
"id": "wikisql-55665",
"question": "What was the 1st party in East Worcestershire (UK Parliament constituency) when the 1st Member was William Congreve Russell?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"representation reduced to one member"
],
"style": "rule"
} | {
"answer": [
"representation reduced to one member"
],
"id": "wikisql-55666",
"question": "What was the first Member of East Worcestershire (UK Parliament constituency) when first party representation was reduced to one Member?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Conservative"
],
"style": "rule"
} | {
"answer": [
"Conservative"
],
"id": "wikisql-55667",
"question": "In East Worcestershire (UK Parliament constituency) what was the 2nd party when your 2nd member was George Rushout-Bowes and the 1st party was Liberal?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yes"
],
"style": "rule"
} | {
"answer": [
"Yes"
],
"id": "wikisql-55689",
"question": "Does Trinity (Valhalla) have HDMI in Xbox 360 specs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"No"
],
"style": "rule"
} | {
"answer": [
"No"
],
"id": "wikisql-55690",
"question": "Is Jasper made to Xbox 360 specs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Porsche Flat-4"
],
"style": "rule"
} | {
"answer": [
"Porsche Flat-4"
],
"id": "wikisql-55701",
"question": "Which engine did dring f porsche kg use with the Porsche rsk (f2) chassis at Edgar Barth?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Porsche 550RS (F2)"
],
"style": "rule"
} | {
"answer": [
"Porsche 550RS (F2)"
],
"id": "wikisql-55702",
"question": "Which chassis did Edgar Barth's Porsche Flat-4 have before 1958?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Porsche Flat-4"
],
"style": "rule"
} | {
"answer": [
"Porsche Flat-4"
],
"id": "wikisql-55703",
"question": "Which engine did the chassis of Edgar Barth's Porsche 718 have?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-55704",
"question": "Which year from Edgar Barth's group had more than 0 points?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-55719",
"question": "Who was the Canadian 4-lane person swimming at the 2000 Summer Olympics: Men's 400m individual medley?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55720",
"question": "What was George Connor's (racing driver) finish in 1939?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9"
],
"style": "rule"
} | {
"answer": [
"9"
],
"id": "wikisql-55721",
"question": "What was George Connor's (racing driver) goal in 1937?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1946"
],
"style": "rule"
} | {
"answer": [
"1946"
],
"id": "wikisql-55722",
"question": "What year did the agony of 120,006 in George Connor (racer) take place?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55723",
"question": "Finishing 19th and starting 14th, what was the goal for George Connor (racer)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 555",
"Lancia - Ferrari D50"
],
"style": "rule"
} | {
"answer": [
"Ferrari 555",
"Lancia - Ferrari D50"
],
"id": "wikisql-55724",
"question": "What company made the chassis when Ferrari made the engine and there were 25 points for Peter Collins (racer)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55725",
"question": "What are the most points for Peter Collins (racer) when Maserati made the engine and Owen Racing Organization as a competitor?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lancia - Ferrari D50",
"Ferrari 801"
],
"style": "rule"
} | {
"answer": [
"Lancia - Ferrari D50",
"Ferrari 801"
],
"id": "wikisql-55726",
"question": "Which company owned by Peter Collins (racer) built the chassis when there were 8 points?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"G A Vandervell"
],
"style": "rule"
} | {
"answer": [
"G A Vandervell"
],
"id": "wikisql-55727",
"question": "What is the entry-level pre-1956 with a Vanwall Special Chassis under Peter Collins (racer)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55728",
"question": "How many wins does Craig Stadler have in the top 10 and greater than 13?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55729",
"question": "How many cuts in the top 25 are less than 5 for Craig Stadler?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55730",
"question": "What is the lowest top 5 winner with less than 0 under Craig Stadler?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55731",
"question": "How many points for the Cooper Car Company after 1959 for Giorgio Scarlatti?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55732",
"question": "What is the average 3620 value that has a 5432 out of 1277 and a 15122 less than 1540 in the Airbus vs Boeing competition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-55733",
"question": "What is the average 5432 value with a 11502 greater than 1163, a 15122 less than 15122, a 3620 less than 624 in the Airbus vs Boeing competition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-55734",
"question": "What is the highest 3620 with a 5432 out of 5432 and a 15122 greater than 15122 in the Airbus vs Boeing competition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Robert L. Flanagin"
],
"style": "rule"
} | {
"answer": [
"Robert L. Flanagin"
],
"id": "wikisql-55736",
"question": "Which representative among the United States Ambassadors in Suriname has a mission completion date of March 25, 1976?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Incumbent"
],
"style": "rule"
} | {
"answer": [
"Incumbent"
],
"id": "wikisql-55737",
"question": "What was the end of the mission for the Ambassador appointed by Barack Obama as the United States Ambassador to Suriname?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gerald Ford"
],
"style": "rule"
} | {
"answer": [
"Gerald Ford"
],
"id": "wikisql-55739",
"question": "Who appointed the representative, who had a credential on March 25, 1976, as the United States Ambassador to Suriname?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2006.0"
],
"style": "rule"
} | {
"answer": [
"2006.0"
],
"id": "wikisql-55746",
"question": "What is the year of the tournament being played in Melbourne Australia for Jared Tallent?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2012"
],
"style": "rule"
} | {
"answer": [
"2012"
],
"id": "wikisql-55747",
"question": "For Jared Tallent, what was the earliest year a 50K event was held with a 2nd place finish in London, UK?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3rd"
],
"style": "rule"
} | {
"answer": [
"3rd"
],
"id": "wikisql-55748",
"question": "What is the result of Jared Tallent in the World Race Walking Cup tournament held before the year 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": [
"USA"
],
"style": "rule"
} | {
"answer": [
"USA"
],
"id": "wikisql-55749",
"question": "In which country was a tower among the lattice towers destroyed in 1899?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Owen Racing Organisation"
],
"style": "rule"
} | {
"answer": [
"Owen Racing Organisation"
],
"id": "wikisql-55751",
"question": "Which competitor has 4 points and BRM p25 for the chassis under Mike Hawthorn?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"LD Hawthorn",
"AHM Bryde"
],
"style": "rule"
} | {
"answer": [
"LD Hawthorn",
"AHM Bryde"
],
"id": "wikisql-55752",
"question": "Who is the newcomer in Mike Hawthorn if the year is less than 1953?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55753",
"question": "How many points were scored on the BRM p25 chassis under Mike Hawthorn?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rich Hinton"
],
"style": "rule"
} | {
"answer": [
"Rich Hinton"
],
"id": "wikisql-55756",
"question": "What is the name of the player picked in Round 23 of the 1965 Los Angeles Dodgers season?",
"split": "train"
} |
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