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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-17168",
"question": "What is the sum of wins with ties greater than 1, losses less than 4 and goals conceded out of 20 in 2003 in the Torneo Apertura of Paraguayan 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-17169",
"question": "What is the lowest position with 16+ clean sheet, 3+ draw and 3+ loss for Torneo Apertura 2003 in Paraguayan 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": [
"Athlon 64 X2, Athlon 64, Sempron Socket AM2"
],
"style": "rule"
} | {
"answer": [
"Athlon 64 X2, Athlon 64, Sempron Socket AM2"
],
"id": "wikisql-17170",
"question": "What processors are supported with a PCI-Express from x16: 1 slot x1: 4 slots and the nforce 550 model considering the Nvidia chipset series comparison?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Athlon 64 X2, Athlon 64, Sempron Socket AM2"
],
"style": "rule"
} | {
"answer": [
"Athlon 64 X2, Athlon 64, Sempron Socket AM2"
],
"id": "wikisql-17171",
"question": "Which processors are supported by a DDR2 memory and the nforce 550 model compared to the series of Nvidia chipsets?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"x16: 1 slot x1: 3 slots"
],
"style": "rule"
} | {
"answer": [
"x16: 1 slot x1: 3 slots"
],
"id": "wikisql-17172",
"question": "What is the PCI-Express with a DDR2 memory and a nforce 520 model compared to the Nvidia chipset series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"ча́рка"
],
"style": "rule"
} | {
"answer": [
"ча́рка"
],
"id": "wikisql-17173",
"question": "What is the Russian word for liquid measure Wine glass, 4.16 fl. oz., containing in Obsolete Russian Units of Measure ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.08 pt"
],
"style": "rule"
} | {
"answer": [
"1.08 pt"
],
"id": "wikisql-17174",
"question": "What is the imperial size of liquid measurements for the unit that has a ratio of 1/20 to the obsolete Russian units?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.3 pt"
],
"style": "rule"
} | {
"answer": [
"1.3 pt"
],
"id": "wikisql-17176",
"question": "What is the size of the US unit of measurement called butylka (vodochnaya) among the obsolete Russian units of measurement?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"quarter"
],
"style": "rule"
} | {
"answer": [
"quarter"
],
"id": "wikisql-17177",
"question": "What is the translation of Chetvert Old Russian units of measure under obsolete liquid measures?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17181",
"question": "When the match was played on clay and in doubles by Alisa Kleybanova on May 2, 2009, what was the result: 6 (5 titles, 1 runner-up)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Klaudia Jans Alicja Rosolska"
],
"style": "rule"
} | {
"answer": [
"Klaudia Jans Alicja Rosolska"
],
"id": "wikisql-17182",
"question": "Under Alisa Kleybanova, who did you play against when the playing surface was tough in doubles: 6 (5 titles, 1 runner-up) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sorana Cîrstea Maria Kirilenko"
],
"style": "rule"
} | {
"answer": [
"Sorana Cîrstea Maria Kirilenko"
],
"id": "wikisql-17183",
"question": "With a score of 6-3, 2-6, [10-8] and playing on clay, who was Alisa Kleybanova's opponent in Doubles 6 5 Titles 1 runner-up?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1987"
],
"style": "rule"
} | {
"answer": [
"1987"
],
"id": "wikisql-17188",
"question": "What is the earliest year 11:25 long among the official versions of Tristana (song)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1987.0"
],
"style": "rule"
} | {
"answer": [
"1987.0"
],
"id": "wikisql-17189",
"question": "What year was there a version called Wolf Mix among the official versions of Tristana (song)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gene Helwig"
],
"style": "rule"
} | {
"answer": [
"Gene Helwig"
],
"id": "wikisql-17196",
"question": "Which 1953 Green Bay Packers player has a 175 pick in the NFL draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17197",
"question": "Zack Jordan's lowest pick in the 1953 NFL draft in the Green Bay Packers season, is it a round and a pick under 28?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"55"
],
"style": "rule"
} | {
"answer": [
"55"
],
"id": "wikisql-17198",
"question": "What is the total of picks for player Roger Zatkoff in the 1953 Green Bay Packers season of the NFL Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17207",
"question": "What is the average number of events where the rank is 1 and there are 3+ wins for the 1984 PGA Tour money leaders?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.2"
],
"style": "rule"
} | {
"answer": [
"0.2"
],
"id": "wikisql-17246",
"question": "Name the rating % for Anhui Satellite TV's channel among TV channels in China's most-watched channels?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.78"
],
"style": "rule"
} | {
"answer": [
"1.78"
],
"id": "wikisql-17247",
"question": "Name the largest share for Anhui satellite television for television in China's most-watched channels?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.26"
],
"style": "rule"
} | {
"answer": [
"0.26"
],
"id": "wikisql-17248",
"question": "Give the sum of the rating % for cctv and position more than 7 on TV in China's most-watched channels?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17249",
"question": "Name the average rating for Shandong Satellite TV and share less than 1.74% among the most watched TV channels in China?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-17261",
"question": "What nationality is Shaun Sabol of the 1986–87 Philadelphia Flyers draft picks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Right Wing"
],
"style": "rule"
} | {
"answer": [
"Right Wing"
],
"id": "wikisql-17262",
"question": "What is US player Brett Lawrence's position among the Philadelphia Flyers draft picks of the 1986-87 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": [
"Nick Crowe / Mark Cox"
],
"style": "rule"
} | {
"answer": [
"Nick Crowe / Mark Cox"
],
"id": "wikisql-17279",
"question": "What was the LCR Honda 600cc Team rider with a time of 59' 22.80 in the final score of Race 'A' TT of the 2008 Isle of Man TT?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tony Elmer/Darren Marshall"
],
"style": "rule"
} | {
"answer": [
"Tony Elmer/Darren Marshall"
],
"id": "wikisql-17280",
"question": "Which rider had a speed of 108.347mph and a time of 1:02.40.93 for the final score of the 2008 Isle of Man TT Race 'A' TT?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Douglas Wright/Stuart Bond"
],
"style": "rule"
} | {
"answer": [
"Douglas Wright/Stuart Bond"
],
"id": "wikisql-17281",
"question": "Which rider in the 2008 Isle of Man TT's Race 'A' TT Final Score had a time of 1:01.50.57?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hard"
],
"style": "rule"
} | {
"answer": [
"Hard"
],
"id": "wikisql-17284",
"question": "What is the surface of Thiago Alves (tennis) when the tournament is Manta, Ecuador's singles (7)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hard"
],
"style": "rule"
} | {
"answer": [
"Hard"
],
"id": "wikisql-17285",
"question": "What is the finish for the Manta, Ecuador tournament among Singles (7) Thiago Alves (Tennis) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Manta , Ecuador"
],
"style": "rule"
} | {
"answer": [
"Manta , Ecuador"
],
"id": "wikisql-17286",
"question": "Which tournament is Thiago Alves (Tennis) opponent among Lesley Josephs Singles (7)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 10, 2005"
],
"style": "rule"
} | {
"answer": [
"October 10, 2005"
],
"id": "wikisql-17287",
"question": "When was Marcos Daniel the opponent for Thiago Alves (tennis) in singles 7?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bruins lead 1–0"
],
"style": "rule"
} | {
"answer": [
"Bruins lead 1–0"
],
"id": "wikisql-17297",
"question": "Which series has a May 2 date among the Philadelphia Flyers' 1977–78 season playoffs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17298",
"question": "In which game of the 1977-78 Philadelphia Flyers playoffs does a Bruins series lead 3-1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Boston Bruins"
],
"style": "rule"
} | {
"answer": [
"Boston Bruins"
],
"id": "wikisql-17299",
"question": "What is the 1977-78 playoff streak of the Philadelphia Flyers opponent who leads 2-1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"May 9"
],
"style": "rule"
} | {
"answer": [
"May 9"
],
"id": "wikisql-17300",
"question": "Which game of the 1977-78 Philadelphia Flyers Playoffs has a date of 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"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-17301",
"question": "Which game of the 1977-78 Philadelphia Flyers season has a 3-6 score in the playoffs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikisql-17302",
"question": "In list of companies by market capitalization, what is the rank of Industrial and Commercial Bank of China 277,236 in 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Euro 2004 - first round"
],
"style": "rule"
} | {
"answer": [
"Euro 2004 - first round"
],
"id": "wikisql-17320",
"question": "What is Germany friendly match from France among Croatia national football team 2004 results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"StoneSoft"
],
"style": "rule"
} | {
"answer": [
"StoneSoft"
],
"id": "wikisql-17321",
"question": "Which company is numbered greater than 5 in the Intel Acquisition Table and has a price of $389 million?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"24"
],
"style": "rule"
} | {
"answer": [
"24"
],
"id": "wikisql-17329",
"question": "What is the highest pick by a defenseman with under 136 total points for the 1981 Atlanta Falcons draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"26"
],
"style": "rule"
} | {
"answer": [
"26"
],
"id": "wikisql-17330",
"question": "What is the lowest pick number in Atlanta Falcons draft history from John Scully's 1981 draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-17331",
"question": "What is the total points for the 1997 consolation round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-17332",
"question": "What was the India Open Doubles result for Hwang Sun-ai (shared with Chien Wannen)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17333",
"question": "What was the 1985 India Open result in Hwang Sun-ai's doubles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17334",
"question": "What about Kang Haeng-Suk as a partner under Hwang Sun-ai's doubles 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17348",
"question": "What is the average total score of Belarus at the 2002 World Rhythmic Gymnastics Championships who had an E score less than 8.2 in Group 3 Balls 2 Ropes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17349",
"question": "What is the sum of the team with a T-value greater than 8 and an E-value less than 8.4 for Group 3 balls and ropes of the 2002 Rhythmic Gymnastics World Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7.7"
],
"style": "rule"
} | {
"answer": [
"7.7"
],
"id": "wikisql-17350",
"question": "What is the T-score of the team with an E-score of 6.625 from the 2002 World Rhythmic Gymnastics Championships, group 3 balls + 2 ropes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17351",
"question": "What is the total number of Poland having an E-value greater than 7.725, group 3 balls + 2 ropes at the 2002 World Rhythmic Gymnastics Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17352",
"question": "Among the 2002 World Rhythmic Gymnastics Championships group 3 balls + 2 ropes, what is the total of the team with a T-score less than 6.8?",
"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": [
"Linebacker"
],
"style": "rule"
} | {
"answer": [
"Linebacker"
],
"id": "wikisql-17357",
"question": "What is the position of a round greater than 14 and a North Texas school/club team for the Washington Redskins 1971 NFL Draft 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": [
"15"
],
"style": "rule"
} | {
"answer": [
"15"
],
"id": "wikisql-17358",
"question": "What Round Does Anthony Christnovich's Player Have in the Washington Redskins' 1971 NFL Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13"
],
"style": "rule"
} | {
"answer": [
"13"
],
"id": "wikisql-17359",
"question": "Considering the Washington Redskins' 1971 season, what is the lowest round a Virginia school/club team has in the NFL Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jason Richardson (24)"
],
"style": "rule"
} | {
"answer": [
"Jason Richardson (24)"
],
"id": "wikisql-17360",
"question": "What is the name of the Golden State Warriors' top scorer of the 2006-07 season in the November 2006-11-22 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": [
"Jason Richardson (26)"
],
"style": "rule"
} | {
"answer": [
"Jason Richardson (26)"
],
"id": "wikisql-17361",
"question": "What was the name of the leading scorer when the Golden State Warriors' record for the 2006-07 season was 9-6 in November?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kings"
],
"style": "rule"
} | {
"answer": [
"Kings"
],
"id": "wikisql-17363",
"question": "Which team was the visitor when more than 16,182 people attended and the record for the Golden State Warriors' 2006-07 season was 6-3 in November?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Warriors"
],
"style": "rule"
} | {
"answer": [
"Warriors"
],
"id": "wikisql-17364",
"question": "What is the name of the visitor on November 4, 2006 for the 2006-07 Golden State Warriors season in November?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Baron Davis (17)"
],
"style": "rule"
} | {
"answer": [
"Baron Davis (17)"
],
"id": "wikisql-17365",
"question": "What was the name of the leading scorer when the Golden State Warriors scored 89-102 for the November 2006-07 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"–2"
],
"style": "rule"
} | {
"answer": [
"–2"
],
"id": "wikisql-17372",
"question": "What was Phil Mickelson's fourth round score at the 2004 US Open (golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mike Pitts"
],
"style": "rule"
} | {
"answer": [
"Mike Pitts"
],
"id": "wikisql-17373",
"question": "Which name has less than 268 overall and 1 than the round among 1983 Atlanta Falcons draft stories?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17374",
"question": "How many selection numbers does James Britt have as a name, with a round greater than 2 for the 1983 Atlanta Falcons Draft History draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17386",
"question": "With an overall pick of less than 171 in Atlanta Falcons draft history, what is Lance Moon's round pick of the 1972 draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mike Perfetti"
],
"style": "rule"
} | {
"answer": [
"Mike Perfetti"
],
"id": "wikisql-17387",
"question": "What is the name of the #10 draft pick in the 1972 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-17388",
"question": "How Many Rounds Did the 1998 Draft Defensive End Pick Make for Jacksonville Jaguars 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": [
"Rumba"
],
"style": "rule"
} | {
"answer": [
"Rumba"
],
"id": "wikisql-17395",
"question": "What is the dance where Priscilla Presley is the worst dancer(s) and has the worst score of 21 for Dancing with the Stars (US season 6) with the highest and lowest score?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"30"
],
"style": "rule"
} | {
"answer": [
"30"
],
"id": "wikisql-17396",
"question": "What is the best dance routine score among the top and bottom scoring performances of Dancing with the Stars US Season 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": [
"Jive"
],
"style": "rule"
} | {
"answer": [
"Jive"
],
"id": "wikisql-17397",
"question": "Which dance has the highest and lowest scored worst dancer(s) as Marissa Jaret Winokur on Dancing with the Stars (US season 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": [
"Sarah Borwell Courtney Nagle"
],
"style": "rule"
} | {
"answer": [
"Sarah Borwell Courtney Nagle"
],
"id": "wikisql-17412",
"question": "Which opponents in Emily Hewson's final have a partner of Daniella Dominikovic in doubles 11 4 7 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 November 2007"
],
"style": "rule"
} | {
"answer": [
"9 November 2007"
],
"id": "wikisql-17413",
"question": "What date has a partner of Daniella Dominikovic under Emily Hewson's Doubles 11 4 7 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hard"
],
"style": "rule"
} | {
"answer": [
"Hard"
],
"id": "wikisql-17414",
"question": "Which Surface has a partner of Pemra Özgen under Doubles 11 (4-7) Emily Hewson?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"23 August 2008"
],
"style": "rule"
} | {
"answer": [
"23 August 2008"
],
"id": "wikisql-17415",
"question": "Which Emily Hewson date has opponents in Valeria Casillo Lilly Raffa's Doubles 11 (4-7) final?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 November 2007"
],
"style": "rule"
} | {
"answer": [
"9 November 2007"
],
"id": "wikisql-17416",
"question": "What date has a partner of Daniella Dominikovic under Emily Hewson's doubles 11 4 7?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"69 - 89"
],
"style": "rule"
} | {
"answer": [
"69 - 89"
],
"id": "wikisql-17424",
"question": "What is the second leg for ULEB Cup 2007-08 with kk bosna sixteenth final?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"82 - 56"
],
"style": "rule"
} | {
"answer": [
"82 - 56"
],
"id": "wikisql-17426",
"question": "Which first round of the ULEB Cup 2007/08 has the sixteenth final of hemofarm?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Panionios Forthnet"
],
"style": "rule"
} | {
"answer": [
"Panionios Forthnet"
],
"id": "wikisql-17427",
"question": "Which team has 70-59 first leg in sixteenth final of 2007/08 ULEB 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-17429",
"question": "How many players had an Att-Cmp-Int of 143-269-16 and an efficiency less than 116.9 for the 2008 LSU Tigers Passing Game?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"206–391–18"
],
"style": "rule"
} | {
"answer": [
"206–391–18"
],
"id": "wikisql-17430",
"question": "For the 2008 LSU Tigers passing stats, what is the Att-Cmp-Int for the player with an efficiency of 117.4?",
"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": [
"33 - 15"
],
"style": "rule"
} | {
"answer": [
"33 - 15"
],
"id": "wikisql-17440",
"question": "What is the difference in terms of 2 losses and less than 10 points for the first round of the 1989 Ice Hockey World Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Runner-up"
],
"style": "rule"
} | {
"answer": [
"Runner-up"
],
"id": "wikisql-17442",
"question": "What is the outcome of double five played on carpet for Marianne Werdel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hard"
],
"style": "rule"
} | {
"answer": [
"Hard"
],
"id": "wikisql-17443",
"question": "What was the surface during the game with partner Debbie Graham Marianne Werdel in doubles 5?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tami Whitlinger-Jones"
],
"style": "rule"
} | {
"answer": [
"Tami Whitlinger-Jones"
],
"id": "wikisql-17444",
"question": "Which partner was Marianne Werdel for Doubles 5 on February 23, 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": [
"European Open , Switzerland"
],
"style": "rule"
} | {
"answer": [
"European Open , Switzerland"
],
"id": "wikisql-17445",
"question": "What was the tournament on May 24, 1992, doubles 5 played on clay for Marianne Werdel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Carpet"
],
"style": "rule"
} | {
"answer": [
"Carpet"
],
"id": "wikisql-17446",
"question": "How was the surface in doubles 5 with the score of 7-5, 6-7, 4-6 for Marianne Werdel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1980"
],
"style": "rule"
} | {
"answer": [
"1980"
],
"id": "wikisql-17449",
"question": "Among the Tampa Bay Rowdies (1975–1993), name the year for the semifinals of the American Conference Year by Year?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17450",
"question": "What is the annual total for Tampa Bay Rowdies Quarterfinalists (1975-1993)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17451",
"question": "What is in Miss World's top 20 countries by count, what is the 4th runner up less than 1 and a 5th runner up of 0, and a Miss World less than 2 has what lowest 3rd runner up?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17452",
"question": "Among Miss World, Country/Territory India and a 4th runner up less than the 1st lowest rank in the top 20 countries by count, which?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17453",
"question": "Rank greater than 3, and a 6th runner-up greater than 0 and a 5th runner-up less than 1, which lowest 1st runner-up in the top 20 Miss World's countries by count?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17454",
"question": "5th runner-up less than 0 at Miss World has lowest semi-finalists among top 20 countries by tally ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17455",
"question": "In Miss World, has the 3rd runner up of 2 and one country/territory of Venezuela, what total does the 4th runner up have among the top 20 countries 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-17460",
"question": "How many total rounds of the 2000 draft did the Atlanta Falcons have in draft history, 211?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17461",
"question": "What is the average pick number for the cornerback position when the total is less than 134 for the Atlanta Falcons Draft History 2000 draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cara Black Liezel Huber"
],
"style": "rule"
} | {
"answer": [
"Cara Black Liezel Huber"
],
"id": "wikisql-17471",
"question": "Which opponent in women's doubles: 10 finals (3 titles, 7 runners-up) had a partner of Katarina Srebotnik and a Wimbledon championship (4) for Ai Sugiyama?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Julie Halard"
],
"style": "rule"
} | {
"answer": [
"Julie Halard"
],
"id": "wikisql-17472",
"question": "Who was the partner when the women's doubles championship: 10 finals (3 titles, 7 runners-up) on hard ground was open to Ai Sugiyama?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17473",
"question": "What was the surface for Ai Sugiyama when the final score was 6-3, 6-2 in Julie Halard's women's doubles: 10 finals (3 titles, 7 runners-up)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Runner-up"
],
"style": "rule"
} | {
"answer": [
"Runner-up"
],
"id": "wikisql-17474",
"question": "What was the result when the opponent of Ai Sugiyama's Women's Doubles: 10 Finals (3 titles, 7 runners-up) with partner Jim Pugh was Serena Williams Venus Williams and had a hard surface?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17475",
"question": "Considering the year 1954 in Brazilian football how much played has a tie of 2 and a position greater than 3 and points less than 10 Torneio Rio-São Paulo. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17476",
"question": "What average equivalent has a difference of 10 and a loss less than 2 for 1954 Torneio Rio-São Paulo in 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": [
"6000"
],
"style": "rule"
} | {
"answer": [
"6000"
],
"id": "wikisql-17478",
"question": "How many spectators in Manchester United FC 1902/03 second division on 13 April 1903?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4000"
],
"style": "rule"
} | {
"answer": [
"4000"
],
"id": "wikisql-17479",
"question": "How many spectators have a H/A of H in Manchester United F.C. Second Division 1902–03 on March 7, 1903?",
"split": "train"
} |
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