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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-65293",
"question": "How many 2005 population estimates for West Sulawesi are for Majene?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65294",
"question": "What is the largest area (km2) with a 2005 population estimate of less than 93,116 named Polewali-Mandar Regency under West Sulawesi?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"93116.0"
],
"style": "rule"
} | {
"answer": [
"93116.0"
],
"id": "wikisql-65295",
"question": "What is the 2005 population estimate for West Sulawesi with an area (km2) of 3,034.08 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65296",
"question": "According to the 2005 population estimate, how often did West Sulawesi have an area (km2) greater than 8,023.74 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nominated"
],
"style": "rule"
} | {
"answer": [
"Nominated"
],
"id": "wikisql-65311",
"question": "What is LoveMusik's score for the Best Orchestrations category?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"The Heart of Chicago 1967–1998 Volume II"
],
"style": "rule"
} | {
"answer": [
"The Heart of Chicago 1967–1998 Volume II"
],
"id": "wikisql-65313",
"question": "What album was in the Chicago discography in June 1998?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chicago 18"
],
"style": "rule"
} | {
"answer": [
"Chicago 18"
],
"id": "wikisql-65314",
"question": "Which album in the Chicago discography has a label and cat no. full moon/warner 28628?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65315",
"question": "What is Champlin's Chicago 19 album US 100 rank with a US AC of 1 in the Chicago discography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65316",
"question": "What is the label's US AC and the Cat# Reprise 19466 in the Chicago discography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"nak",
"nak"
],
"style": "rule"
} | {
"answer": [
"nak",
"nak"
],
"id": "wikisql-65320",
"question": "What is Mahu if Pergi Pi is among Malay 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": [
"~omitted~"
],
"style": "rule"
} | {
"answer": [
"~omitted~"
],
"id": "wikisql-65321",
"question": "If bicycle is bicycle and language dialect Malay language (informal), then what is -kah (or not among Malay 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": [
"Pontianak dialect"
],
"style": "rule"
} | {
"answer": [
"Pontianak dialect"
],
"id": "wikisql-65322",
"question": "What is the language/dialect of the Malay languages when bike is sepeda and boleh bulih?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"basika"
],
"style": "rule"
} | {
"answer": [
"basika"
],
"id": "wikisql-65323",
"question": "What is bicycle in Malay languages when Mana is Mano, Pergi Gi and Ikut Turuk?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65337",
"question": "How many places in Bosnia and Herzegovina have more than 33 points in Eurovision Song Contest 1999?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-65338",
"question": "What is the draw sum for artist Hari Mata Hari with less than 70 points in Bosnia and Herzegovina at the Eurovision Song Contest 1999?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-65339",
"question": "What is the highest score for the song \"Budi tu\" with a tie less than 7 among Bosnia and Herzegovina in the Eurovision Song Contest 1999?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"70"
],
"style": "rule"
} | {
"answer": [
"70"
],
"id": "wikisql-65340",
"question": "What is the sum of points for the artist Hari Mata Hari in Bosnia and Herzegovina in the Eurovision Song Contest 1999?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-65341",
"question": "Considering Bosnia and Herzegovina in Eurovision Song Contest 1999, what is the lowest place for the song \"starac i more\" with a tie over 13?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Four teams"
],
"style": "rule"
} | {
"answer": [
"Four teams"
],
"id": "wikisql-65342",
"question": "Which losing team plays hockey among the ESPY Awards winners?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"March 27, 2011"
],
"style": "rule"
} | {
"answer": [
"March 27, 2011"
],
"id": "wikisql-65343",
"question": "On what date will the Virginia Commonwealth Rams win the Best Upset ESPY Award?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2004"
],
"style": "rule"
} | {
"answer": [
"2004"
],
"id": "wikisql-65344",
"question": "What year were the June 6, 2004 - June 15, 2004 awards for the Best Upset ESPY Award?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Uni Yie (葉瑋庭)"
],
"style": "rule"
} | {
"answer": [
"Uni Yie (葉瑋庭)"
],
"id": "wikisql-65347",
"question": "Name the 2nd runner up for One Million Star on July 20, 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Uni Yie (葉瑋庭)"
],
"style": "rule"
} | {
"answer": [
"Uni Yie (葉瑋庭)"
],
"id": "wikisql-65348",
"question": "Name the 2nd runner up for Yuming Lai (賴銘偉) under One Million Star?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rachel Hsu (徐詠琳)"
],
"style": "rule"
} | {
"answer": [
"Rachel Hsu (徐詠琳)"
],
"id": "wikisql-65349",
"question": "Under One Million Star, name the 3rd runner-up for Celia Liang (梁曉珺). ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Wu Si Ai, Usay(舞思愛)"
],
"style": "rule"
} | {
"answer": [
"Wu Si Ai, Usay(舞思愛)"
],
"id": "wikisql-65350",
"question": "Name the second runner-up for One Million Star Season 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": [
"Rose Liu (劉明湘)"
],
"style": "rule"
} | {
"answer": [
"Rose Liu (劉明湘)"
],
"id": "wikisql-65351",
"question": "Among One Million Star, what is the runner-up for Janice Yan (閻奕格)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Christmas Bai (白潮洛蒙)"
],
"style": "rule"
} | {
"answer": [
"Christmas Bai (白潮洛蒙)"
],
"id": "wikisql-65352",
"question": "Name the 3rd runner up from One Million Star under wu si ai, usay(舞思愛) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"McLaren - Mercedes"
],
"style": "rule"
} | {
"answer": [
"McLaren - Mercedes"
],
"id": "wikisql-65353",
"question": "Which constructor had a grid smaller than 18 and a driver by Mika Häkkinen for the 1995 German Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-65354",
"question": "What is the average lap of Damon Hill with a grid less than 1 for the 1995 German Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"41"
],
"style": "rule"
} | {
"answer": [
"41"
],
"id": "wikisql-65355",
"question": "What is the total laps for the 1995 German Grand Prix with an Eddie Irvine driver?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65356",
"question": "What is the average number of games played since the 1902 CAHL season as a team and a win count greater than 5 for the Ottawa Hockey Club?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65357",
"question": "What is the average number of goals conceded in the 1902 CAHL season when fewer than 8 games were played?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65358",
"question": "What is the win total if the number of goals was greater than 35, the team was Montreal Hockey Club and the number of losses was less than 2 in the 1902 CAHL season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-65360",
"question": "What was the week of the game on December 9, 1961 with an attendance exceeding 41,268 in the 1961 Los Angeles Rams season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"October 8, 2010"
],
"style": "rule"
} | {
"answer": [
"October 8, 2010"
],
"id": "wikisql-65364",
"question": "When did Hernán Rengifo score 2-0?",
"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": [
"2,000–2,500"
],
"style": "rule"
} | {
"answer": [
"2,000–2,500"
],
"id": "wikisql-65375",
"question": "Tell me the payload in service for the Integrated Guided Missile Development Program for 2011?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"40X1.1"
],
"style": "rule"
} | {
"answer": [
"40X1.1"
],
"id": "wikisql-65376",
"question": "Under the integrated missile development program, tell me the dimension that has a range of 8,000 to 10,000?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"IGMDP"
],
"style": "rule"
} | {
"answer": [
"IGMDP"
],
"id": "wikisql-65377",
"question": "Name the project that has an Agni III missile under the Integrated Guided Missile Development Program?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1000"
],
"style": "rule"
} | {
"answer": [
"1000"
],
"id": "wikisql-65378",
"question": "Name the Integrated Guided Missile Development Program payload weighing 12,000 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Strategic"
],
"style": "rule"
} | {
"answer": [
"Strategic"
],
"id": "wikisql-65379",
"question": "Name the type for the project from igmdp and the weight of 16,000 under the Integrated Guided Missile Development Program?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2279"
],
"style": "rule"
} | {
"answer": [
"2279"
],
"id": "wikisql-65391",
"question": "What is the density (hab/km²) in the metropolitan area of the Aburrá Valley at an altitude of 1300 m?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65392",
"question": "What is the distance Medellín Downtown (km) if the municipalities envigado under the metropolitan area of the Aburrá Valley ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6 221,8"
],
"style": "rule"
} | {
"answer": [
"6 221,8"
],
"id": "wikisql-65393",
"question": "What is the density (hab/km²) if the extension km² is 380.64 for the metropolitan area of the Aburrá Valley?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"* DANE"
],
"style": "rule"
} | {
"answer": [
"* DANE"
],
"id": "wikisql-65394",
"question": "What is the population (hab) if the distance is Medellin downtown (km) * Dane under the Aburrá Valley metropolitan area?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1 668,9"
],
"style": "rule"
} | {
"answer": [
"1 668,9"
],
"id": "wikisql-65395",
"question": "What is the density (hab/km²) with a population (hab) of 58 414* in the metropolitan area of the Aburrá Valley?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1300"
],
"style": "rule"
} | {
"answer": [
"1300"
],
"id": "wikisql-65396",
"question": "What is the altitude for the distance from Medellin downtown (km) is 42 for the Aburrá Valley metropolitan area?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65400",
"question": "What nationality is the C in the 1955 NBA 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": [
"New York Knicks"
],
"style": "rule"
} | {
"answer": [
"New York Knicks"
],
"id": "wikisql-65401",
"question": "Which team has a Santa Clara player in the 1955 NBA 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": [
"T",
"2"
],
"style": "rule"
} | {
"answer": [
"T",
"2"
],
"id": "wikisql-65402",
"question": "Which Round Did the College of Minnesota Pick in the 1955 NBA 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": [
"Rochester Royals"
],
"style": "rule"
} | {
"answer": [
"Rochester Royals"
],
"id": "wikisql-65403",
"question": "Which team had the 2nd pick in the 1955 NBA 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": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-65404",
"question": "What nationality is the College of Cincinnati player in the 1955 NBA 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": [
"DE CASTRO, Richard Courtney"
],
"style": "rule"
} | {
"answer": [
"DE CASTRO, Richard Courtney"
],
"id": "wikisql-65407",
"question": "Which name got 0.59% of the vote in the 2003 British Virgin Islands general election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-65408",
"question": "How many votes did the 2003 British Virgin Islands general election have exactly the total number that has a percentage of exactly 12.03%?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"56.0"
],
"style": "rule"
} | {
"answer": [
"56.0"
],
"id": "wikisql-65412",
"question": "What is the average lap count for 8th on the grid at the 2002 Malaysian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Williams - BMW"
],
"style": "rule"
} | {
"answer": [
"Williams - BMW"
],
"id": "wikisql-65413",
"question": "Who built the car that has a time/retirement of 1:34:12.912 in the 2002 Malaysian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Group 3"
],
"style": "rule"
} | {
"answer": [
"Group 3"
],
"id": "wikisql-65417",
"question": "What round did BFC Siófok play for Maccabi Haifa FC?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"UEFA Intertoto Cup"
],
"style": "rule"
} | {
"answer": [
"UEFA Intertoto Cup"
],
"id": "wikisql-65418",
"question": "What competition did club maccabi haifa fc play in BFC Siófok?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"UEFA Euro 2012 qualifying"
],
"style": "rule"
} | {
"answer": [
"UEFA Euro 2012 qualifying"
],
"id": "wikisql-65421",
"question": "Consider Gergely Rudolf what competition at Puskás Ferenc Stadium, Budapest, Hungary and a score of 1-0?",
"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": [
"5th"
],
"style": "rule"
} | {
"answer": [
"5th"
],
"id": "wikisql-65427",
"question": "Which finish has a record of 74-68 for Gene Hassell?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1974"
],
"style": "rule"
} | {
"answer": [
"1974"
],
"id": "wikisql-65428",
"question": "What's the total for the year with a Johnson City Yankees team and a sixth place finish for Gene Hassell?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"66-73"
],
"style": "rule"
} | {
"answer": [
"66-73"
],
"id": "wikisql-65429",
"question": "What record does a team of Manchester Yankees under Gene Hassell hold?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"New York Yankees"
],
"style": "rule"
} | {
"answer": [
"New York Yankees"
],
"id": "wikisql-65430",
"question": "Which Gene Hassell organization comes in 4th place?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1968",
"1974"
],
"style": "rule"
} | {
"answer": [
"1968",
"1974"
],
"id": "wikisql-65431",
"question": "What year does an organization of New York Yankees and a team of Johnson City Yankees under Gene Hassell have?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hall - Offenhauser"
],
"style": "rule"
} | {
"answer": [
"Hall - Offenhauser"
],
"id": "wikisql-65432",
"question": "Which constructor had a race number greater than 14, laps greater than 93, and a finish greater than 25 at the 1951 Indianapolis 500?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"131.47"
],
"style": "rule"
} | {
"answer": [
"131.47"
],
"id": "wikisql-65433",
"question": "For the 1951 Indianapolis 500, which qualifier has a rank greater than 28 and a race number greater than 23?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"132.89"
],
"style": "rule"
} | {
"answer": [
"132.89"
],
"id": "wikisql-65434",
"question": "1951 Indianapolis 500 what is the overall qualifier if the car number is 24?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13th Korea Musical Awards"
],
"style": "rule"
} | {
"answer": [
"13th Korea Musical Awards"
],
"id": "wikisql-65443",
"question": "What was Oh Man-seok's award for Most Popular Star with a Score of 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Won"
],
"style": "rule"
} | {
"answer": [
"Won"
],
"id": "wikisql-65444",
"question": "What is the result for the king and me after 2006 for Oh Man-seok?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"44"
],
"style": "rule"
} | {
"answer": [
"44"
],
"id": "wikisql-65448",
"question": "How many laps are associated with a time of +1:39.591 for the 1987 German Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"26.0"
],
"style": "rule"
} | {
"answer": [
"26.0"
],
"id": "wikisql-65449",
"question": "What is the average number of laps for a starting grid of 6 in the 1987 German Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20th percentile"
],
"style": "rule"
} | {
"answer": [
"20th percentile"
],
"id": "wikisql-65450",
"question": "Name the data showing a 28.4% percentage gain in income inequality in the United States?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ford DFR V8"
],
"style": "rule"
} | {
"answer": [
"Ford DFR V8"
],
"id": "wikisql-65456",
"question": "What engine was made by Larrousse in 1991?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lamborghini 3512 V12"
],
"style": "rule"
} | {
"answer": [
"Lamborghini 3512 V12"
],
"id": "wikisql-65457",
"question": "Under Larrousse, which engines of 1992?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lola LC87"
],
"style": "rule"
} | {
"answer": [
"Lola LC87"
],
"id": "wikisql-65458",
"question": "Which chassis does 1987 have for Larrousse?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.0"
],
"style": "rule"
} | {
"answer": [
"0.0"
],
"id": "wikisql-65459",
"question": "How many average points for the chassis LOLA LC88 under Larrousse ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65467",
"question": "I want total laps for time/retirement for + 4 laps and grid greater than 20 for the 1973 Brazilian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"38.0"
],
"style": "rule"
} | {
"answer": [
"38.0"
],
"id": "wikisql-65468",
"question": "For the 1973 Brazilian Grand Prix, I want the average laps for a grid of 9?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"979"
],
"style": "rule"
} | {
"answer": [
"979"
],
"id": "wikisql-65469",
"question": "How many North Wales Narrow Gauge Railways 0-6-4t locomotives were built after 1875?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"979"
],
"style": "rule"
} | {
"answer": [
"979"
],
"id": "wikisql-65470",
"question": "What was the total number of North Wales Narrow Gauge Railways from Gowrie built after 1875?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"739.0"
],
"style": "rule"
} | {
"answer": [
"739.0"
],
"id": "wikisql-65471",
"question": "What is the average Snowdon Ranger workload at Vulcan Foundry contractor for North Wales Narrow Gauge Railways?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65472",
"question": "How many total work numbers from Gowrie using a post 1908 0-6-4t type on the North Wales Narrow Gauge Railways?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65486",
"question": "What is the lowest number of live births in the Armenian population, if the crude birth rate (per 1000) is more than 22.1, the crude death rate (per 1000) is less than 5.5, the average population (x1000) is 2,401 and the natural change is more than... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"41.1"
],
"style": "rule"
} | {
"answer": [
"41.1"
],
"id": "wikisql-65487",
"question": "What is the crude birth rate (per 1000) if the natural change (per 1000) is more than 31.6 and the average population (x1000) is less than 1,802 in demographics of Armenia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5.1"
],
"style": "rule"
} | {
"answer": [
"5.1"
],
"id": "wikisql-65488",
"question": "What is the average crude mortality rate (per 1000) if the live births are less than 72,400, the crude birth rate (per 1000) is more than 10, and the average population (x1000) is 2,518 among Armenia demographics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"22.7"
],
"style": "rule"
} | {
"answer": [
"22.7"
],
"id": "wikisql-65489",
"question": "What is the crude birth rate (per 1000) if the crude death rate (per 1000) is less than 6.2, the average population (x 1000) is greater than 2,770 and the natural change (per 1000) is 17.2 among the demographics of Armenia is?",
"split": "train"
... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65496",
"question": "Tell me the average size for the minor third of 34 equal temperament?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Marlins"
],
"style": "rule"
} | {
"answer": [
"Marlins"
],
"id": "wikisql-65497",
"question": "Who was the losing team of the Tampa Bay Devil Rays June 16 2002 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": [
"4-0"
],
"style": "rule"
} | {
"answer": [
"4-0"
],
"id": "wikisql-65498",
"question": "2002 Tampa Bay Devil Rays, what was the result of the game on June 28th?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Devil Rays"
],
"style": "rule"
} | {
"answer": [
"Devil Rays"
],
"id": "wikisql-65499",
"question": "What did the Marlins beat the Tampa Bay Devil Rays 4-0 in the 2002 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": [
"June 16"
],
"style": "rule"
} | {
"answer": [
"June 16"
],
"id": "wikisql-65500",
"question": "What is the date of the game at Pro Player Stadium that ended Tampa Bay Devil Rays 4-1 in the 2002 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": [
"18/09/1957"
],
"style": "rule"
} | {
"answer": [
"18/09/1957"
],
"id": "wikisql-65501",
"question": "When was Scottish Football League XI the opponent with a score of 1-5 for Liam Tuohy (footballer)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1-0"
],
"style": "rule"
} | {
"answer": [
"1-0"
],
"id": "wikisql-65502",
"question": "What is the result on 03/17/1956 for Liam Tuohy (footballer)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Football League XI",
"Scottish Football League XI"
],
"style": "rule"
} | {
"answer": [
"Football League XI",
"Scottish Football League XI"
],
"id": "wikisql-65503",
"question": "If the result is d, who are Liam Tuohy (footballer)'s opponents?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65504",
"question": "What is the score for Liam Tuohy (footballer) when the score is 2-2?",
"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": [
"Orlando Pirates"
],
"style": "rule"
} | {
"answer": [
"Orlando Pirates"
],
"id": "wikisql-65505",
"question": "What is third place for the Vodacom Challenge going 1-0?",
"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": [
"Orlando Pirates"
],
"style": "rule"
} | {
"answer": [
"Orlando Pirates"
],
"id": "wikisql-65506",
"question": "When Kaizer Chiefs won the Vodacom Challenge 1-0, who is in third place?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nozomi Okuhara"
],
"style": "rule"
} | {
"answer": [
"Nozomi Okuhara"
],
"id": "wikisql-65507",
"question": "Which girls' singles at the 2012 BWF World Junior 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": [
"Chan Chong Ming Teo Kok Seng"
],
"style": "rule"
} | {
"answer": [
"Chan Chong Ming Teo Kok Seng"
],
"id": "wikisql-65508",
"question": "Which boys' doubles team took part in the 1998 BWF World Junior 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": [
"1996"
],
"style": "rule"
} | {
"answer": [
"1996"
],
"id": "wikisql-65509",
"question": "What was the earliest year of the BWF World Junior Championships to host mixed doubles for Wang Wei Lu Ying?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Verbal Kent"
],
"style": "rule"
} | {
"answer": [
"Verbal Kent"
],
"id": "wikisql-65519",
"question": "Which artist from the One Be Lo discography had a single called Alien Rock b/w Combat, The Remix on 12\" vinyl?",
"split": "train"
} |
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