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": [
"Norway"
],
"style": "rule"
} | {
"answer": [
"Norway"
],
"id": "wikisql-14666",
"question": "Which opponent has a score¹ of 1-3 under the 1982 Yugoslav national 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": [
"June 20"
],
"style": "rule"
} | {
"answer": [
"June 20"
],
"id": "wikisql-14667",
"question": "On which date was the Yugoslav national football team tied 1-2 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": [
"Valencia, Spain"
],
"style": "rule"
} | {
"answer": [
"Valencia, Spain"
],
"id": "wikisql-14668",
"question": "Which city had results¹ of 1-2 for Yugoslavia national football team 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": [
"December 15"
],
"style": "rule"
} | {
"answer": [
"December 15"
],
"id": "wikisql-14669",
"question": "On what date were Wales the opponents of the Yugoslav national football team 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": [
"Sofia , Bulgaria"
],
"style": "rule"
} | {
"answer": [
"Sofia , Bulgaria"
],
"id": "wikisql-14670",
"question": "In which city was Bulgaria the opponent in the results of the Yugoslav national football team in 1982 with a 1-0 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": [
"1994-95",
"1993-94",
"1992-93",
"1991-92"
],
"style": "rule"
} | {
"answer": [
"1994-95",
"1993-94",
"1992-93",
"1991-92"
],
"id": "wikisql-14672",
"question": "Name the year for Jerry Sehing in the Boston Celtics broadcaster list in the 1990s?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Craig Mustard"
],
"style": "rule"
} | {
"answer": [
"Craig Mustard"
],
"id": "wikisql-14673",
"question": "Name the studio host for Glenn Ordway and Jerry Sehing with the year 1993-94 among the 1990s Boston Celtics broadcasters?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"WRKO"
],
"style": "rule"
} | {
"answer": [
"WRKO"
],
"id": "wikisql-14674",
"question": "Name the flagship station for Cedric Maxwell and the year 1995-96 in the list of Boston Celtics stations of the 1990s. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"J. Chisholm & Son"
],
"style": "rule"
} | {
"answer": [
"J. Chisholm & Son"
],
"id": "wikisql-14675",
"question": "Who was the architect of the 10-story building with a height of 42 m among the former tallest buildings in Canada by province and territory of Manitoba?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"59"
],
"style": "rule"
} | {
"answer": [
"59"
],
"id": "wikisql-14676",
"question": "How tall is the building designed by architects Ross and Macfarlane among the formerly tallest buildings in Canada after Province and Territory of Manitoba?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Pratt and Ross, Charles S. Frost"
],
"style": "rule"
} | {
"answer": [
"Pratt and Ross, Charles S. Frost"
],
"id": "wikisql-14677",
"question": "Who was the architect who built the pre-1915 Electric Railway Chambers in what was once Canada's tallest building by province and territory of Manitoba?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2011"
],
"style": "rule"
} | {
"answer": [
"2011"
],
"id": "wikisql-14683",
"question": "In which season was the Pole more than 14 in Formula 1 driver records with the highest percentage of pole positions in a 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": [
"Sebastian Vettel"
],
"style": "rule"
} | {
"answer": [
"Sebastian Vettel"
],
"id": "wikisql-14685",
"question": "List of Formula 1 drivers' records Highest percentage of pole positions in a season. Name the driver who has completed more than 16 races?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Riviera Country Club"
],
"style": "rule"
} | {
"answer": [
"Riviera Country Club"
],
"id": "wikisql-14715",
"question": "What is the name of the course that ranked 117th among future United States Amateur Championship (golf) sites?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2013"
],
"style": "rule"
} | {
"answer": [
"2013"
],
"id": "wikisql-14716",
"question": "What was the earliest year in the United States Amateur Championship (Golf Courses of the Future) that Brookline, Massachusetts hosted?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2015.0"
],
"style": "rule"
} | {
"answer": [
"2015.0"
],
"id": "wikisql-14717",
"question": "What year was the 115th edition of the United States Amateur Championship (Golf) held for the Future Sites?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Freestyle"
],
"style": "rule"
} | {
"answer": [
"Freestyle"
],
"id": "wikisql-14738",
"question": "Which rule by Lee Hasdell has the Event of n/a, The Result of loss and The Location of Winsford England's Partial Kickboxing Record?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Graham Rookly"
],
"style": "rule"
} | {
"answer": [
"Graham Rookly"
],
"id": "wikisql-14739",
"question": "Which opponent has a round of 4 and rules of thai boxing for Lee Hasdell's partial kickboxing record?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bertil Queely"
],
"style": "rule"
} | {
"answer": [
"Bertil Queely"
],
"id": "wikisql-14740",
"question": "Which opponent under Lee Hasdell among the partial kendo kickboxing record dates includes the round of 3, time and rules?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bedford, England"
],
"style": "rule"
} | {
"answer": [
"Bedford, England"
],
"id": "wikisql-14741",
"question": "Where are rules of Thai boxing, a round n/a and an Everton Crawford opponent from Lee Hasdell's partial kickboxing record?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N/A"
],
"style": "rule"
} | {
"answer": [
"N/A"
],
"id": "wikisql-14742",
"question": "What rules have a ko (punch) method under Lee Hasdell's partial kickboxing record?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N·m (lb·ft) at 2000 rpm"
],
"style": "rule"
} | {
"answer": [
"N·m (lb·ft) at 2000 rpm"
],
"id": "wikisql-14743",
"question": "What is the torque of 1905cc displacement for ARO 10 engines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N·m (lb·ft) at 2000 rpm"
],
"style": "rule"
} | {
"answer": [
"N·m (lb·ft) at 2000 rpm"
],
"id": "wikisql-14744",
"question": "What is the torque of the ARO 10 1.9 Diesel with 1905 cc engine?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N·m (lb·ft) at 3400 rpm"
],
"style": "rule"
} | {
"answer": [
"N·m (lb·ft) at 3400 rpm"
],
"id": "wikisql-14745",
"question": "What is the torque of Daewoo among the ARO 10 engines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"KTM"
],
"style": "rule"
} | {
"answer": [
"KTM"
],
"id": "wikisql-14756",
"question": "Which manufacturer completed a lap at the 2007 250cc Classification Australian Grand Prix and had an accident?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yuki Takahashi"
],
"style": "rule"
} | {
"answer": [
"Yuki Takahashi"
],
"id": "wikisql-14757",
"question": "Which rider in the 2007 Australian Motorcycle Grand Prix has a manufacturer from Honda with a time of +44.814 for the 250cc classification?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-14758",
"question": "From the 2007 Australian Motorcycle Grands Prix 250cc classification list, how many grids have a time greater than +1:21.239 and greater than 25 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": [
"3.0"
],
"style": "rule"
} | {
"answer": [
"3.0"
],
"id": "wikisql-14759",
"question": "What is the average number of episodes on March 19, 1993 of series 5 starring Jim Sweeney 1 among UK episodes of List of Whose Line Is It Whatever?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ryan Stiles"
],
"style": "rule"
} | {
"answer": [
"Ryan Stiles"
],
"id": "wikisql-14760",
"question": "Who is cast member 2 of series 5 of series 5 UK episodes 'List of Whose Line Is It Whatever' on 9 April 1993 starring Josie Lawrence as cast member 4?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5 March 1993",
"26 March 1993"
],
"style": "rule"
} | {
"answer": [
"5 March 1993",
"26 March 1993"
],
"id": "wikisql-14761",
"question": "Among the episodes of the 5th episode of the British series \"List of Whose Line Is It Whatever\" starring Ryan Stiles as actor 2, Colin Mochrie as actor 3 and Tony Slattery as actor 4, what episode date is there?",
"... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14763",
"question": "What is the episode number where Jim Sweeney and Mike Mcshane were cast members 1 and 4 of the UK episodes of the 5th series \"List of Whose Line Is It Whatever\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14766",
"question": "What is the highest round among the 1997-98 Philadelphia Flyers draft picks held by a collegiate/junior/club (league) team from Torpedo Yaroslavl (Rus)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14767",
"question": "In what round is a Todd Fedoruk player among the Philadelphia Flyers draft picks of the 1997-98 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": [
"League City Clear Creek"
],
"style": "rule"
} | {
"answer": [
"League City Clear Creek"
],
"id": "wikisql-14777",
"question": "What is the AAAAA class under science (UIL test) for the school year 1990-91 in individual (overall)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bishop"
],
"style": "rule"
} | {
"answer": [
"Bishop"
],
"id": "wikisql-14778",
"question": "What are the natural sciences (UIL test) of individual class AAA (overall) has a school year of 1989-90?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Canadian"
],
"style": "rule"
} | {
"answer": [
"Canadian"
],
"id": "wikisql-14780",
"question": "Which AA class among the individuals (total) of science (UIL test) has an AAA trade class?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20–11–6"
],
"style": "rule"
} | {
"answer": [
"20–11–6"
],
"id": "wikisql-14793",
"question": "For the Detroit Red Wings 1996-97 season, can you tell me what the record is that the home of many islanders set in December?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20–12–6"
],
"style": "rule"
} | {
"answer": [
"20–12–6"
],
"id": "wikisql-14795",
"question": "Can you give me the dataset containing the Detroit home and Phoenix visitor for the Detroit Red Wings 1996-1997 season in December?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 1"
],
"style": "rule"
} | {
"answer": [
"December 1"
],
"id": "wikisql-14796",
"question": "Can you give me the date the Florida visitor has in December of the Detroit Red Wings 1996-97 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-14832",
"question": "In Atlanta Falcons draft history in the 2010 draft, which round was a defensive tackle pick # less than 19?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14833",
"question": "What is the 19 aggregate pick number for the 2010 draft in Atlanta Falcons history?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jul 22"
],
"style": "rule"
} | {
"answer": [
"Jul 22"
],
"id": "wikisql-14836",
"question": "What was the date of the 1990 PGA Tour results tournament with a score of 270 (–18) in Scotland?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"New York"
],
"style": "rule"
} | {
"answer": [
"New York"
],
"id": "wikisql-14837",
"question": "Where the tournament results for the 1990 PGA Tour were won by Hale Irwin (19)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14849",
"question": "What was the loser's bonus for the team with a try bonus of 3 and 47 tries in the 2009/2010 WRU Division Four East table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"73"
],
"style": "rule"
} | {
"answer": [
"73"
],
"id": "wikisql-14850",
"question": "How many tries does the team with 263 counterpoints have in WRU Division Four East 2009/2010 Table ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14851",
"question": "How many draws does the team with 385 points have in the 2009/2010 WRU Division Four East table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14852",
"question": "How many defeats has the team with 1 draw and 34 tries from table 2009/2010 WRU Division Four East?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25"
],
"style": "rule"
} | {
"answer": [
"25"
],
"id": "wikisql-14853",
"question": "How many tries does the team with a try bonus of 1 and 35 points have in the 2009/2010 WRU Division Four East table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"79"
],
"style": "rule"
} | {
"answer": [
"79"
],
"id": "wikisql-14854",
"question": "How many points does the team with 3 defeats have in the WRU Division Four East 2009/2010 table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-14855",
"question": "Which rank is the lowest with a 1st (m) greater than 133.5 and a total WC score (rank) of 459 (7) among the 2007–08 FIS Ski Jumping World Cups from Zakopane?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"December 7"
],
"id": "wikisql-14858",
"question": "What date was the New York Jets winner and a score of 30–28 for the Jets–Patriots rivalry in the 1970s (Jets 12–8)?",
"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": [
"Schaefer Stadium"
],
"style": "rule"
} | {
"answer": [
"Schaefer Stadium"
],
"id": "wikisql-14859",
"question": "What is the name of the location of the 1970s Jets 12 8 game in reference to the 21–16 score rivalry between the Jets and Patriots?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1970"
],
"style": "rule"
} | {
"answer": [
"1970"
],
"id": "wikisql-14860",
"question": "What was the earliest year the New York Jets won in the 1970s at Harvard Stadium (Jets 12–8) in the Jets–Patriots rivalry?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"443"
],
"style": "rule"
} | {
"answer": [
"443"
],
"id": "wikisql-14862",
"question": "How many points did the club with a loss bonus of 2 and 300 points have for the WRU Division Four South East Division 2008-09 table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"35"
],
"style": "rule"
} | {
"answer": [
"35"
],
"id": "wikisql-14863",
"question": "How many tries did the club with a 3 loss bonus and 45 points have in the WRU Division Four South East 2008-09 table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Try bonus"
],
"style": "rule"
} | {
"answer": [
"Try bonus"
],
"id": "wikisql-14864",
"question": "What is the try bonus of the club that played in the WRU Division Four South East 2008-09 table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Points against"
],
"style": "rule"
} | {
"answer": [
"Points against"
],
"id": "wikisql-14865",
"question": "How many points against has the best scoring club in the WRU Division Four South East 2008-09 table ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14866",
"question": "What is the draw of club with 542 points against in WRU Division Four South East 2008-09 table ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14867",
"question": "How many defeats has the club with 22 games and 334 goals against in the WRU Division Four South East 2008-09 table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"76438"
],
"style": "rule"
} | {
"answer": [
"76438"
],
"id": "wikisql-14868",
"question": "What is the viewership of the 1-6 record for the 1986 Green Bay Packers season schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2-9"
],
"style": "rule"
} | {
"answer": [
"2-9"
],
"id": "wikisql-14869",
"question": "What is the Tampa Bay Buccaneers record from the 1986 Green Bay Packers season schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"685.0 (24)"
],
"style": "rule"
} | {
"answer": [
"685.0 (24)"
],
"id": "wikisql-14900",
"question": "What is Denis Kornilov's total FHT points at the 2007–08 Four Hills Tournament Bischofshofen?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14901",
"question": "What is the lowest 2nd place (m) for the 2007–08 Bischofshofen Four Hills Tournament when the score was greater than 251.6?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dubai"
],
"style": "rule"
} | {
"answer": [
"Dubai"
],
"id": "wikisql-14902",
"question": "From the list of tallest buildings in the United Arab Emirates, which city took 7th 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-14903",
"question": "From the list of tallest buildings in the United Arab Emirates, how many floors have been approved with a building grade less than 3 and a height of 300 / 985 m (ft)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"31"
],
"style": "rule"
} | {
"answer": [
"31"
],
"id": "wikisql-14904",
"question": "What is the rank of Etihad Tower 5 with less than 62 floors on the list of tallest buildings in the United Arab Emirates and approved?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Abu Dhabi",
"Dubai",
"Dubai"
],
"style": "rule"
} | {
"answer": [
"Abu Dhabi",
"Dubai",
"Dubai"
],
"id": "wikisql-14905",
"question": "In which city has a building taller than 15 stories and taller than 43 stories been ranked on the Approved list of tallest buildings in the United Arab Emirates?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"TLL"
],
"style": "rule"
} | {
"answer": [
"TLL"
],
"id": "wikisql-14906",
"question": "Which league is for baseball with Laredo Apaches among the defunct teams of Laredo, Texas?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"AF2"
],
"style": "rule"
} | {
"answer": [
"AF2"
],
"id": "wikisql-14907",
"question": "In Laredo, Texas, what league has arena football in the defunct teams of club Laredo Lobos?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1960 – 1968"
],
"style": "rule"
} | {
"answer": [
"1960 – 1968"
],
"id": "wikisql-14925",
"question": "Percent pole positions among Formula 1 drivers records, which seasons have entries greater than 52 and poles of 33?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1991 – 2006 , 2010 – 2012"
],
"style": "rule"
} | {
"answer": [
"1991 – 2006 , 2010 – 2012"
],
"id": "wikisql-14926",
"question": "Which seasons have a pole greater than 29 and entries greater than 191 for Formula 1 Driver Record Pole Position Percentage?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Compilation 1"
],
"style": "rule"
} | {
"answer": [
"Compilation 1"
],
"id": "wikisql-14946",
"question": "Given the list of episodes of series 2 of UK Whose Line Is It Whatever episodes, episode of 16 includes which cast 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": [
"Compilation 1"
],
"style": "rule"
} | {
"answer": [
"Compilation 1"
],
"id": "wikisql-14947",
"question": "Cast member 2 of compilation 1 in the UK episodes of List of Whose Line Is It Whatever, which cast member 1 had in series 2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"38"
],
"style": "rule"
} | {
"answer": [
"38"
],
"id": "wikisql-14958",
"question": "How much played a loss greater than 14 and a draw of 8 and a team of IPatinga in 2008 in the Campeonato Brasileiro Série A of Brazilian football?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14959",
"question": "How many draws for 2008 in Brazilian football have a difference of 3 and less than 52 points among Campeonato Brasileiro Série A?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-14960",
"question": "What are the highest points having a position less than 4 and a team from são paulo and more than 12 draws for 2008 in the Campeonato Brasileiro Série A of Brazilian football?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14961",
"question": "How many lost among the Brazilian soccer teams of the 2008 Campeonato Brasileiro Série'A 2008 played more than 40 points and a position of 11 and less than 38?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14972",
"question": "What are the preliminary statistics for 2012 among the world's busiest airports by freight traffic, which rank is the lowest with a percentage change of 3.3% and a total freight (metric tons) of less than 2,456,724?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14973",
"question": "How many ranks does a code (IATA/ICAO) of ord/kord have among the busiest airports in the world according to the 2012 preliminary statistics of cargo traffic?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2939157"
],
"style": "rule"
} | {
"answer": [
"2939157"
],
"id": "wikisql-14974",
"question": "From the list of the world's busiest airports by cargo traffic, preliminary statistics 2012, which total cargo (metric tons) is the highest, which has a rank less than 4, and an airport of Shanghai Pudong International Airport?",
"split": "tra... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-14975",
"question": "Which rank is the average with a percentage change of 0.7% and a total freight (metric tons) of less than 1,556,203 among the busiest airports in the world according to the freight traffic of the preliminary statistics 2012?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"615 (3)"
],
"style": "rule"
} | {
"answer": [
"615 (3)"
],
"id": "wikisql-14982",
"question": "What is the rank with a 1st place under 132.5 and a Finnish nationality under Bischofshofen (January 6) of the 2007–08 FIS Ski Jumping World Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"235.7"
],
"style": "rule"
} | {
"answer": [
"235.7"
],
"id": "wikisql-14983",
"question": "What is the highest score with a 1st of 121.5 for the 2007-08 FIS Ski Jumping World Cup in Bischofshofen (January 6)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3–6, 5–7"
],
"style": "rule"
} | {
"answer": [
"3–6, 5–7"
],
"id": "wikisql-14991",
"question": "What is the score of a result of runners-up and a tournament of Johannesburg under single 30 15 15 15 Dianne Fromholtz ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Grass"
],
"style": "rule"
} | {
"answer": [
"Grass"
],
"id": "wikisql-14992",
"question": "What surface does an opponent of Kerry Melville Reid and score 6-3 2-6 3-6 under Dianne Fromholtz when she was singles 30 15 15?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Winner"
],
"style": "rule"
} | {
"answer": [
"Winner"
],
"id": "wikisql-14993",
"question": "What score is an opponent of Wendy Turnbull and a turf among Dianne Fromholtz's singles: 30 (15–15) record?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hollywood"
],
"style": "rule"
} | {
"answer": [
"Hollywood"
],
"id": "wikisql-14994",
"question": "Which Dianne Fromholtz Singles Tournament: 30 (15–15) has a date of January 22, 1979?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Winner"
],
"style": "rule"
} | {
"answer": [
"Winner"
],
"id": "wikisql-14995",
"question": "What result has a score of 6-4, 2-6, 6-3 among Dianne Fromholtz's singles: 30 (15-15) matches?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15007",
"question": "What is the average yards with an average less than 4 and long 12 with less than 29 attempts for the Washington Redskins 2000 season rushing?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15008",
"question": "What is the fewest number of yards yards averaging less than 2.6 among the 2000 Washington Redskins Season Rushing?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15009",
"question": "How many touchdowns did the Washington Redskins rushing lease 2000 season with 1318 yards?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15010",
"question": "How many rushing touchdowns did the Washington Redskins average less than 2.6 in the 2000 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-15011",
"question": "If there are 19 tries for the Rushing of 2000 Washington Redskins season, what is the total for long?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2 strokes"
],
"style": "rule"
} | {
"answer": [
"2 strokes"
],
"id": "wikisql-15012",
"question": "How big was Olazabal's lead in winning the European Tour (23) German Masters under José María Olazábal?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"League"
],
"style": "rule"
} | {
"answer": [
"League"
],
"id": "wikisql-15021",
"question": "What was the name of the competition where the Guildford Flames faced the Peterborough Phantoms in the 2007/08 season, which took place on 2 December?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Croatia"
],
"style": "rule"
} | {
"answer": [
"Croatia"
],
"id": "wikisql-15048",
"question": "Which Croatia has a friendly in 2005 World Cup qualifiers and 149 out of 152 in Croatia national 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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-15093",
"question": "Best numbers in a game in Tasmania cricket team first class records what is player Charles Eady's rank and a bowling score of 12/63 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Syracuse"
],
"style": "rule"
} | {
"answer": [
"Syracuse"
],
"id": "wikisql-15099",
"question": "Name the college a 17th overall in the 1986 Atlanta Falcons Draft History. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"252"
],
"style": "rule"
} | {
"answer": [
"252"
],
"id": "wikisql-15100",
"question": "Name the least for Tony Baker under the 1986 draft in Atlanta Falcons draft history?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"68"
],
"style": "rule"
} | {
"answer": [
"68"
],
"id": "wikisql-15112",
"question": "What is the total of Long for Derrick Locke among the 2008 Rushing of the Kentucky Wildcats football team?",
"split": "train"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.