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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-13275",
"question": "How many field goals are there with 8 touchdowns and more than 49 points in the 1901 Michigan Wolverines Rose Bowl: Michigan 49, Stanford 0 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-13276",
"question": "How many touchdowns did the Michigan Wolverines football team's Rose Bowl 49-Stanford 0 score in 1901 with 0 field goals, 5+ points, and 0+ extra points?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cuero"
],
"style": "rule"
} | {
"answer": [
"Cuero"
],
"id": "wikisql-13285",
"question": "What was grade AAA in the 2006-07 school year for science (UIL test) in one-to-one (chemistry) 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": [
"Stinnett West Texas"
],
"style": "rule"
} | {
"answer": [
"Stinnett West Texas"
],
"id": "wikisql-13286",
"question": "Which team was Class AA in 1994-95 under Science (UIL Test)'s Individual Chemistry?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Stinnett West Texas"
],
"style": "rule"
} | {
"answer": [
"Stinnett West Texas"
],
"id": "wikisql-13287",
"question": "Who was Class AA in the 1994-95 school year on the Individual (Chemistry) Natural Sciences (UIL test) in 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": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-13327",
"question": "Which rec has an average less than 32, a touchdown less than 3, and an opponent of Oregon State under Jack Clancy's Michigan single-game receipt yardage?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-13328",
"question": "Which shot has 192 yards and a less than 1 touchdown under Jack Clancy's Michigan Single Game Receipt Yardage?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Illinois",
"Minnesota"
],
"style": "rule"
} | {
"answer": [
"Illinois",
"Minnesota"
],
"id": "wikisql-13329",
"question": "Which opponent has yards under 197 and an average under 32 and a year of 1966 for Jack Clancy's Michigan Single-Game Receipt Yardage?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-13330",
"question": "How many touchdowns has a rec 10, an Oregon State opponent and an average less than 19.7 for Jack Clancy at Michigan single game receiving distance?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-13340",
"question": "How many seats in 2001 with a count greater than 4 for the current Golden Gate Transit fleet?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"NovaBus RTS"
],
"style": "rule"
} | {
"answer": [
"NovaBus RTS"
],
"id": "wikisql-13341",
"question": "What brand and model of diesel vehicle in Golden Gate Transit's current fleet with a raised floor type, less than 3 bike capacity and 4 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": [
"No",
"No",
"No"
],
"style": "rule"
} | {
"answer": [
"No",
"No",
"No"
],
"id": "wikisql-13345",
"question": "What is the Stuffit capability that has gzip yes, ISO/CD images no and LHA/LZH no versus writing file archivers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"No",
"No",
"No",
"No",
"No",
"No"
],
"style": "rule"
} | {
"answer": [
"No",
"No",
"No",
"No",
"No",
"No"
],
"id": "wikisql-13346",
"question": "What is the gzip value associated with a stuffit of no, bzip2 of no and LHA.LZH of no under the comparison of writing file archivers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yes",
"Yes"
],
"style": "rule"
} | {
"answer": [
"Yes",
"Yes"
],
"id": "wikisql-13347",
"question": "What is the value of bzip2 compared to writing file archivers associated with a gzip from yes, StuffitX from unknown, and an ISO/CD image from unknown?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Unknown",
"Unknown"
],
"style": "rule"
} | {
"answer": [
"Unknown",
"Unknown"
],
"id": "wikisql-13348",
"question": "What is StuffitX value having stuffit of unknown, LHA/LZH of yes and unknown ISO/CD image in comparison of writing file archivers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"No",
"No",
"No",
"No",
"No",
"No"
],
"style": "rule"
} | {
"answer": [
"No",
"No",
"No",
"No",
"No",
"No"
],
"id": "wikisql-13349",
"question": "What are the things bzip and LHA/LZH have from No in the Write comparison of file archivers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Unknown",
"No",
"Unknown",
"Yes"
],
"style": "rule"
} | {
"answer": [
"Unknown",
"No",
"Unknown",
"Yes"
],
"id": "wikisql-13350",
"question": "What is the ISO/CD image value associated with no's StuffitX, yes's gzip and yes's LHA/LZH in comparison of writing file archivers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14 May 2007"
],
"style": "rule"
} | {
"answer": [
"14 May 2007"
],
"id": "wikisql-13353",
"question": "What is the date of the tournament for Kristína Kučová in Michalovce for singles (5-11)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 (65-67-64-65=261)"
],
"style": "rule"
} | {
"answer": [
"–19 (65-67-64-65=261)"
],
"id": "wikisql-13354",
"question": "What was the winning result of the match PGA Tour wins (12) with partner Justin Leonard for Valero Texas Open?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 20, 1997"
],
"style": "rule"
} | {
"answer": [
"Jul 20, 1997"
],
"id": "wikisql-13355",
"question": "When was the winning score -12 (69-66-72-65=272) for PGA Tour wins (12) Justin Leonard?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tim Clark , Joe Ogilvie"
],
"style": "rule"
} | {
"answer": [
"Tim Clark , Joe Ogilvie"
],
"id": "wikisql-13356",
"question": "Who was second when Justin Leonard won the PGA Tour (12) and gained -28 (66-67-68-64-67=332) points?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Democratic"
],
"style": "rule"
} | {
"answer": [
"Democratic"
],
"id": "wikisql-13357",
"question": "Which party had a Democratic resignation in the 1886 United States House of Representatives election in California?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1884.0"
],
"style": "rule"
} | {
"answer": [
"1884.0"
],
"id": "wikisql-13358",
"question": "What was the average year that Charles N. Felton was re-elected in the 1886 United States House of Representatives election in California?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-13359",
"question": "In what year of the United States House of Representatives elections, 1886, was Barclay Henley first elected to the California Congress?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"PacWest"
],
"style": "rule"
} | {
"answer": [
"PacWest"
],
"id": "wikisql-13360",
"question": "What is Motorola's sponsorship for drivers and designers of the 1997 CART 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": [
"31.0"
],
"style": "rule"
} | {
"answer": [
"31.0"
],
"id": "wikisql-13363",
"question": "What is the average pole position for the driver who has a percentage of 44.81% below Formula 1 driver records? The percentage starts from the first row?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-13364",
"question": "What is the average front row start for drivers with fewer than 68 pole positions and entries under 52 among Formula 1 driver records? Percentage of front row starts?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"W 49-0"
],
"style": "rule"
} | {
"answer": [
"W 49-0"
],
"id": "wikisql-13365",
"question": "What result had a attendance of over 53,769 for the Green Bay Packers' 1962 season and a Philadelphia Eagles opponent on 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": [
"9.0"
],
"style": "rule"
} | {
"answer": [
"9.0"
],
"id": "wikisql-13366",
"question": "What average week in the 1962 Green Bay Packers season schedule had an attendance of 60,671?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"57966.0"
],
"style": "rule"
} | {
"answer": [
"57966.0"
],
"id": "wikisql-13367",
"question": "From the 1962 Green Bay Packers season schedule, which week of 7 had what average attendance?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-13368",
"question": "How many legs were won if 6 legs were lost, the 180's were 0, the 3 dart average was less than 69.72 and the darts average in the last round for the women's statistics of the BDO World Darts Championship 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-13369",
"question": "What is the sum of all sets played if fewer than 4 sets were won and the 3 dart average was 53.19 for the 2008 BDO World Darts Championship Women's Stats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-13370",
"question": "How many values for 100+ for Trina Gulliver with a 3 dart average less than 75.02 among the women's stats of the 2008 BDO World Darts 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-13371",
"question": "How many legs has Trina Gulliver lost, including more than 3 in the BDO World Darts Championship 2008 women's statistics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-13372",
"question": "What are the most BDO Women's Statistics: 2008 sets won with less than 1 legs won for the 2008 BDO World Darts 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-13373",
"question": "What is the largest value for 100+ winning less than 1 set and winning more than 2 legs for the women's statistics of the BDO World Darts Championship 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": [
"Czech Republic"
],
"style": "rule"
} | {
"answer": [
"Czech Republic"
],
"id": "wikisql-13380",
"question": "What nationality of person has a left wing position in the Philadelphia Flyers draft picks of the 1999-2000 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": [
"Frölunda HC ( Elitserien )"
],
"style": "rule"
} | {
"answer": [
"Frölunda HC ( Elitserien )"
],
"id": "wikisql-13381",
"question": "Which college/junior/club (league) team is from Sweden among the Philadelphia Flyers draft picks of the 1999-2000 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": [
"Forward"
],
"style": "rule"
} | {
"answer": [
"Forward"
],
"id": "wikisql-13382",
"question": "What is Russia's position among the Philadelphia Flyers draft picks of the 1999-2000 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": [
"Tokyo"
],
"style": "rule"
} | {
"answer": [
"Tokyo"
],
"id": "wikisql-13383",
"question": "Which city will Ukraine host the 2009 Outdoor World Championships in women's high jump?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Beijing"
],
"style": "rule"
} | {
"answer": [
"Beijing"
],
"id": "wikisql-13384",
"question": "Which venue among the high jumps in Belgium had a women's outdoor nationality?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"D"
],
"style": "rule"
} | {
"answer": [
"D"
],
"id": "wikisql-13390",
"question": "What result among Iran national football team results A score of 0-0 and a date of January 02, 1964 in the 1960s had what 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": [
"17-Dec-66",
"20-Dec-66"
],
"style": "rule"
} | {
"answer": [
"17-Dec-66",
"20-Dec-66"
],
"id": "wikisql-13391",
"question": "What date was the result of l and a competition of the 1966 Asian Games and a score of 0–1 of the 1960s Iran 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": [
"1–2"
],
"style": "rule"
} | {
"answer": [
"1–2"
],
"id": "wikisql-13392",
"question": "What score did the Iran national football team have in friendly matches and competitions in the 1960s?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10-May-68",
"13-May-68",
"16-May-68",
"19-May-68"
],
"style": "rule"
} | {
"answer": [
"10-May-68",
"13-May-68",
"16-May-68",
"19-May-68"
],
"id": "wikisql-13393",
"question": "Result of w and a 1968 Asian Cup competition was held on what date among Iran national football team results in 1960s?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"California 1"
],
"style": "rule"
} | {
"answer": [
"California 1"
],
"id": "wikisql-13396",
"question": "What is the voting district of incumbent Thomas Larkin Thompson in the 1888 United States House of Representatives election in California?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Marion Biggs"
],
"style": "rule"
} | {
"answer": [
"Marion Biggs"
],
"id": "wikisql-13397",
"question": "Which incumbent in the 1888 United States House of Representatives election has a re-election record and was first elected greater than California in 1884?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chittaa చిత్త"
],
"style": "rule"
} | {
"answer": [
"Chittaa చిత్త"
],
"id": "wikisql-13398",
"question": "Which Telugu has Chitra ಚಿತ್ತ among the Nakshatras of Tamil தலைமொழி?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Poorvashaadha పూర్వాషాఢ"
],
"style": "rule"
} | {
"answer": [
"Poorvashaadha పూర్వాషాఢ"
],
"id": "wikisql-13399",
"question": "Which Tamil in Telugu has a Pūrāṭam under Nakshatra's name in modern languages?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Pushya పుష్య"
],
"style": "rule"
} | {
"answer": [
"Pushya పుష్య"
],
"id": "wikisql-13400",
"question": "Under Nakshatra, 'names in modern languages', which Indian Telugu has a Tamil with pūsam பூசம்?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Суулга"
],
"style": "rule"
} | {
"answer": [
"Суулга"
],
"id": "wikisql-13401",
"question": "What are the names in modern languages of Nakshatra, Pūrāṭam from which Mongolian has Tamil?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Uttara or Uttara Phalgunī उत्तर फाल्गुनी"
],
"style": "rule"
} | {
"answer": [
"Uttara or Uttara Phalgunī उत्तर फाल्गुनी"
],
"id": "wikisql-13402",
"question": "What kind of Sanskrit names in modern languages Kannada uttara has a Sanskrit ಕನ್ನಾ. Kannada a meaning ಮಾಹಾ ಅಂಖಾಲಾ for 'nakshatra'?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rohini रोहिणी"
],
"style": "rule"
} | {
"answer": [
"Rohini रोहिणी"
],
"id": "wikisql-13403",
"question": "Under Nakshatra, what kind of Sanskrit Sanskrit has a Tamil Tamil Nakshatra from rōkiṇi ரோ names in modern languages?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-13449",
"question": "How many of the Xavier Musketeers men's basketball players had 15+ games and 8-plus sell-outs at the Cintas Center during the 2011-12 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-13450",
"question": "What is the average attendance when the record is 12-4 and the average is less than 10,027 at Xavier Musketeers Men's Basketball's Cintas Center?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-13451",
"question": "What is the total number of averages if the sell-out numbers are less than 14, the 2011-12 season is on and the Xavier Musketeers men's basketball attendance at the Cintas Center is less than 162,474?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-13460",
"question": "What is the result of the Melbourne tournament among Dianne Fromholtz's doubles: 12 (6–6) 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": [
"Phoenix"
],
"style": "rule"
} | {
"answer": [
"Phoenix"
],
"id": "wikisql-13461",
"question": "In which tournament was Janet Young a partner in Dianne Fromholtz's Doubles: 12 (6-6)?",
"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": [
"Winner"
],
"style": "rule"
} | {
"answer": [
"Winner"
],
"id": "wikisql-13462",
"question": "What was the result of the Doubles 12 6 6 match between Dianne Fromholtz, score none?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"L 17-34"
],
"style": "rule"
} | {
"answer": [
"L 17-34"
],
"id": "wikisql-13473",
"question": "What was the result of the November 7, 1999 game on the Washington Redskins' 1999 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": [
"Bye"
],
"style": "rule"
} | {
"answer": [
"Bye"
],
"id": "wikisql-13474",
"question": "When was the game prior to week 15 with the result of the bye for the Washington Redskins 1999 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": [
"87–106"
],
"style": "rule"
} | {
"answer": [
"87–106"
],
"id": "wikisql-13502",
"question": "What was the score in the March game of the 2006-07 season for the Golden State Warriors where the Blazers were the home 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": [
"18177"
],
"style": "rule"
} | {
"answer": [
"18177"
],
"id": "wikisql-13503",
"question": "How many people attended the March game that the Clippers hosted in the 2006-07 season of the Golden State Warriors?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bill Davis Racing"
],
"style": "rule"
} | {
"answer": [
"Bill Davis Racing"
],
"id": "wikisql-13504",
"question": "Which team has a car numbered before 99, a Toyota, and is driven by Mike Skinner under the 2008 NASCAR Craftsman Truck Series Qwik Liner Las Vegas 350?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-13505",
"question": "Who is the lowest position for driver Kyle Busch in the Qwik Liner Las Vegas 350 of the 2008 NASCAR Craftsman Truck 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": [
"ThorSport Racing"
],
"style": "rule"
} | {
"answer": [
"ThorSport Racing"
],
"id": "wikisql-13506",
"question": "In the 2008 NASCAR Craftsman Truck Series, who is the team with the Chevrolet and finish 7th for the #88 Qwik Liner Las Vegas 350?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"887 195-1"
],
"style": "rule"
} | {
"answer": [
"887 195-1"
],
"id": "wikisql-13515",
"question": "Which catalog has a 12\" maxi format and a France region in the release history of Sans Contrefaçon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Polydor"
],
"style": "rule"
} | {
"answer": [
"Polydor"
],
"id": "wikisql-13516",
"question": "Which label has a format of 7\" single and a date of 1988 in the release history of Sans Contrefaçon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Polydor"
],
"style": "rule"
} | {
"answer": [
"Polydor"
],
"id": "wikisql-13517",
"question": "In the release history of Sans Contrefaçon, which label has a region of Germany and a format of 12\" maxi?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Polydor"
],
"style": "rule"
} | {
"answer": [
"Polydor"
],
"id": "wikisql-13518",
"question": "What label does a region of Canada have in the release history of sans contrefaçon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 1990"
],
"style": "rule"
} | {
"answer": [
"May 1990"
],
"id": "wikisql-13519",
"question": "What date has a catalog of 887 195-2 and a format of CD Maxi for the publication history of Sans Contrefaçon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 1987",
"October 1987",
"October 1987",
"October 1987",
"5 August 2003"
],
"style": "rule"
} | {
"answer": [
"October 1987",
"October 1987",
"October 1987",
"October 1987",
"5 August 2003"
],
"id": "wikisql-13520",
"question": "What date does a region of France have in the publication history of Sans Contrefaçon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Austria"
],
"style": "rule"
} | {
"answer": [
"Austria"
],
"id": "wikisql-13537",
"question": "From the list of world records in canoe women's kayak, which nationality had a distance of 500m before 2012, when the record was 1:37.071 seconds?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sevilla , Spain"
],
"style": "rule"
} | {
"answer": [
"Sevilla , Spain"
],
"id": "wikisql-13538",
"question": "In what year was 2001 when the record in the list of world records in women's kayaking was 3:52.983 seconds?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Romania"
],
"style": "rule"
} | {
"answer": [
"Romania"
],
"id": "wikisql-13539",
"question": "Among this list of world records in canoeing, which nationality among women was the kayak 100m distance 200m and had a year before 1994 when the record was 33.778 seconds?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"+8.6%"
],
"style": "rule"
} | {
"answer": [
"+8.6%"
],
"id": "wikisql-13542",
"question": "What is the percentage change at London Heathrow Airport among the world's busiest airports by freight traffic 2004 final statistic?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10 (+1)"
],
"style": "rule"
} | {
"answer": [
"10 (+1)"
],
"id": "wikisql-13543",
"question": "What is the rank in 2003 of the airport's IATA code SIN in the final 2004 statistics of the world's busiest airports by 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": [
"FRA"
],
"style": "rule"
} | {
"answer": [
"FRA"
],
"id": "wikisql-13545",
"question": "What is the IATA code of the airport ranked among the busiest airports in the world by cargo traffic with a total cargo of 1,838,894 tons in the final 2004 statistics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-13546",
"question": "What is the rank of Los Angeles International Airport among the busiest airports in the world by cargo traffic in 2003 in the final statistics for 2004?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"+4.3%"
],
"style": "rule"
} | {
"answer": [
"+4.3%"
],
"id": "wikisql-13547",
"question": "What is the percentage change from the airport ranking less than 8 and ranking 6 in 2003 among the world's busiest airports by cargo traffic in the final 2004 statistics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1919"
],
"style": "rule"
} | {
"answer": [
"1919"
],
"id": "wikisql-13554",
"question": "When was the beginning of the history of the leader of the Liberal Party of Canada, who was born on January 8, 1859 and whose term ended in 1919?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"William Lyon Mackenzie King"
],
"style": "rule"
} | {
"answer": [
"William Lyon Mackenzie King"
],
"id": "wikisql-13555",
"question": "Which leader born December 17, 1874 began his tenure before 1984 for the history of leaders of the Liberal Party of Canada?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14 June 2009"
],
"style": "rule"
} | {
"answer": [
"14 June 2009"
],
"id": "wikisql-13556",
"question": "On what date will Kristína Kučová show the result of the winner against nikola fraňková Carmen Klaschka Doubles 4 2 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Runner-up"
],
"style": "rule"
} | {
"answer": [
"Runner-up"
],
"id": "wikisql-13557",
"question": "What is the result of the Doubles 4 2 match for Kristína Kučová at the Jounieh tournament?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14 June 2009"
],
"style": "rule"
} | {
"answer": [
"14 June 2009"
],
"id": "wikisql-13558",
"question": "On what date was the result of 6-3 6-4 for Kristína Kučová in doubles (4-2)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Millennium"
],
"style": "rule"
} | {
"answer": [
"Millennium"
],
"id": "wikisql-13559",
"question": "What is the 9:00 episode shown on the channel showing 20/20 at 10:00 on Canadian TV Guide 1998-99 on Fridays?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Millennium"
],
"style": "rule"
} | {
"answer": [
"Millennium"
],
"id": "wikisql-13560",
"question": "What is the 9:00 program that airs on the station that airs Dawson's Creek at 8:00 in the 1998–99 Canadian television schedule on Fridays?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Black Harbour"
],
"style": "rule"
} | {
"answer": [
"Black Harbour"
],
"id": "wikisql-13561",
"question": "What is the 9:30 program aired on the station airing The Red Green Show at 8:30 from Friday 1998-99 of the Canadian television 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": [
"La Fureur"
],
"style": "rule"
} | {
"answer": [
"La Fureur"
],
"id": "wikisql-13562",
"question": "What is the 8:30 program that airs on the station that airs various programs on Friday 1998–99 Canadian TV Guide at 7:30?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Millennium"
],
"style": "rule"
} | {
"answer": [
"Millennium"
],
"id": "wikisql-13563",
"question": "What is the 9:30 program aired on the station under the Canadian television schedules aired on Fridays 1998–99 which air Dawson's Creek at 8:30?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"28 July 2007"
],
"style": "rule"
} | {
"answer": [
"28 July 2007"
],
"id": "wikisql-13568",
"question": "What was the result for the 2007/08 Birmingham City FC pre-season friendlies. season and an opponent of Walsall has what date?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Peterborough United"
],
"style": "rule"
} | {
"answer": [
"Peterborough United"
],
"id": "wikisql-13569",
"question": "Which opponents did Birmingham City FC face in 2007–08 with a score FA of 3–0 and a date of 31 July 2007 in the pre-season friendlies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 August 2007"
],
"style": "rule"
} | {
"answer": [
"4 August 2007"
],
"id": "wikisql-13570",
"question": "Which Sheffield Wednesday opponents had a date in Birmingham City FC's 2007/08 pre-season friendlies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 August 2007"
],
"style": "rule"
} | {
"answer": [
"4 August 2007"
],
"id": "wikisql-13571",
"question": "Which Sheffield Wednesday opponents had a date in Birmingham City FC's 2007/08 pre-season friendlies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sheffield Wednesday"
],
"style": "rule"
} | {
"answer": [
"Sheffield Wednesday"
],
"id": "wikisql-13572",
"question": "What opponents did 4 August 2007 face in Birmingham City FC's pre-season friendlies of the 2007/08 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 (70-69-70-68=277)"
],
"style": "rule"
} | {
"answer": [
"–15 (70-69-70-68=277)"
],
"id": "wikisql-13575",
"question": "What is the winning score of the standard register ping tournament where Kelly Robbins takes second place under LPGA Tour (20) - Laura Davies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 (66-69-73-69=277)"
],
"style": "rule"
} | {
"answer": [
"–7 (66-69-73-69=277)"
],
"id": "wikisql-13576",
"question": "What is the LPGA Tour 20 tournament winning result for Laura Davies on May 16, 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": [
"3 strokes"
],
"style": "rule"
} | {
"answer": [
"3 strokes"
],
"id": "wikisql-13577",
"question": "What is the victory margin of Laura Davies in the LPGA Tour (20) tournament on June 5, 1988?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"–10 (64-74-69-72=278)"
],
"style": "rule"
} | {
"answer": [
"–10 (64-74-69-72=278)"
],
"id": "wikisql-13578",
"question": "Under LPGA Tour (20) Laura Davies, what is the winning result of the tournament with Robin Walton in 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": [
"15 Sep 1985"
],
"style": "rule"
} | {
"answer": [
"15 Sep 1985"
],
"id": "wikisql-13591",
"question": "Which date has a 4-shot lead among Senior PGA Tour victories (11) Peter Thomson (golfer)?",
"split": "train"
} |
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