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": [
"Folk musician"
],
"style": "rule"
} | {
"answer": [
"Folk musician"
],
"id": "wikisql-61101",
"question": "What is the profession of the flatmate from the town of Leskovac in Veliki Brat VIP 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": [
"Day 1"
],
"style": "rule"
} | {
"answer": [
"Day 1"
],
"id": "wikisql-61102",
"question": "When did slađana pejić who was evicted on day 29 enter the house under Veliki Gör VIP 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": [
"Model"
],
"style": "rule"
} | {
"answer": [
"Model"
],
"id": "wikisql-61103",
"question": "What is Slađana Pejić's profession under Veliki Brat VIP 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": [
"Belgrade"
],
"style": "rule"
} | {
"answer": [
"Belgrade"
],
"id": "wikisql-61104",
"question": "In Veliki brat VIP 2, what city did the roommate come from who entered the house on the first day and whose profession was a TV presenter?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Folk musician"
],
"style": "rule"
} | {
"answer": [
"Folk musician"
],
"id": "wikisql-61105",
"question": "What is the profession of the flatmate from the town of Leskovac in Veliki Brat VIP 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": [
"17th"
],
"style": "rule"
} | {
"answer": [
"17th"
],
"id": "wikisql-61110",
"question": "Considering Banbury United FC what position has a league of Southern League Premier Division and 2004-05 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-61111",
"question": "Among Banbury United FC, which draw has a 2001–02 season and points greater than 47 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61112",
"question": "Which loser is the highest with a 2001-02 season and over 47 points under Banbury United 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-61113",
"question": "How many total bronze numbers had more than 4 if rank less than 4, Germany is involved and there is less than 5 silver for 2000 indoor track and field 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": [
"Morocco"
],
"style": "rule"
} | {
"answer": [
"Morocco"
],
"id": "wikisql-61122",
"question": "From the list of countries by highest point, which applicant is ranked 200?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mount Khalatsa"
],
"style": "rule"
} | {
"answer": [
"Mount Khalatsa"
],
"id": "wikisql-61123",
"question": "Which is the highest score in the list of countries by highest points for South Ossetia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"166"
],
"style": "rule"
} | {
"answer": [
"166"
],
"id": "wikisql-61124",
"question": "What is the highest rank of the Palestinian Territories in the list of countries by highest point?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Đeravica"
],
"style": "rule"
} | {
"answer": [
"Đeravica"
],
"id": "wikisql-61125",
"question": "What is the highest score for rank 95 in the list of countries by highest scoring?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1996–97"
],
"style": "rule"
} | {
"answer": [
"1996–97"
],
"id": "wikisql-61126",
"question": "Which season among the Los Angeles Clippers seasons in 1996-97 had a .439% team win?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Eastern"
],
"style": "rule"
} | {
"answer": [
"Eastern"
],
"id": "wikisql-61127",
"question": "Among the Los Angeles Clippers' seasons, which conference is the team from 1973-74 in the Atlantic Division (Div.)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1995–96"
],
"style": "rule"
} | {
"answer": [
"1995–96"
],
"id": "wikisql-61128",
"question": "Which squadron among the squadrons of the Los Angeles Clippers list has a gain of 0.354%?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
".366"
],
"style": "rule"
} | {
"answer": [
".366"
],
"id": "wikisql-61129",
"question": "What is the team's Win% in the Los Angeles Clippers 1989-90 seasons?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61139",
"question": "What is the average number for Northgate, which began construction in Crawley before 1951?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61140",
"question": "What is the lowest population for the blue neighborhood built in Crawley before 1987?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"274"
],
"style": "rule"
} | {
"answer": [
"274"
],
"id": "wikisql-61144",
"question": "What is registration with the Onalaska under the Coulee Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 River Falls"
],
"style": "rule"
} | {
"answer": [
"Black River Falls"
],
"id": "wikisql-61145",
"question": "What public facility is located next to the Coulee Conference in Black River Falls?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61149",
"question": "In Cut Copy, what is the result with an Album of the Year category in a year that is 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": [
"Philips Arena"
],
"style": "rule"
} | {
"answer": [
"Philips Arena"
],
"id": "wikisql-61171",
"question": "List of seventh NBA games, where was the game played when the winner was the Atlanta Hawks (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": [
"Milwaukee Bucks ( 6)"
],
"style": "rule"
} | {
"answer": [
"Milwaukee Bucks ( 6)"
],
"id": "wikisql-61172",
"question": "Which team was the loser in the NBA game seven when the score was 119-113?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Suns ( 1)"
],
"style": "rule"
} | {
"answer": [
"Phoenix Suns ( 1)"
],
"id": "wikisql-61173",
"question": "What is the loser when the winner was the Los Angeles Lakers (10) from the NBA sevens list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"First Union Center"
],
"style": "rule"
} | {
"answer": [
"First Union Center"
],
"id": "wikisql-61174",
"question": "What is the venue among the seventh NBA games if the result was 88-87?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Seattle SuperSonics ( 6)"
],
"style": "rule"
} | {
"answer": [
"Seattle SuperSonics ( 6)"
],
"id": "wikisql-61175",
"question": "Which team was the winner when the score was 90-86 among the NBA sevens?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"82–72*"
],
"style": "rule"
} | {
"answer": [
"82–72*"
],
"id": "wikisql-61176",
"question": "What is the result if the Memphis Grizzlies (2) were the loser in the NBA Sevens list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61180",
"question": "How many Campeonato Paulistas of São Paulo FC season 2007 had a Campeonato Brasileiro over 2, another number over 0 and a Copa Sudamericana over 5?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-61181",
"question": "What is the biggest Copa Sudamericana number if the other number is less than 0 in São Paulo FC season 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-61188",
"question": "What is the point average when the tie is greater than 8, less than 82 games and coached by Bryan Mclay † Morris Lallo ‡ Gerry Moore ‡ and 322+ goals by Muskegon Mohawks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"72"
],
"style": "rule"
} | {
"answer": [
"72"
],
"id": "wikisql-61189",
"question": "Among the Muskegon Mohawks, what are the most games 100 points and under 356 goals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61190",
"question": "What is the most points when clean sheets are 354 and games under 82 for the Muskegon Mohawks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61191",
"question": "What are the most points for games under 70 and goals for 335+ for the Muskegon Mohawks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61192",
"question": "What is Gold if Total is less than 4, if Silver is 1 and if Bronze is 1 in FINA Water Polo World Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-61193",
"question": "Considering the FINA Water Polo World Cup, what is silver if total is greater than 4, if bronze is 2 and if rank is greater than 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"–"
],
"style": "rule"
} | {
"answer": [
"–"
],
"id": "wikisql-61201",
"question": "What is the year of construction of the house with a built status and 42 m. height in Klaipėda ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"72–82 m."
],
"style": "rule"
} | {
"answer": [
"72–82 m."
],
"id": "wikisql-61202",
"question": "How high is the house with more than 22 floors built in Klaipėda in 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61203",
"question": "What is the highest number of floors in houses 42 m high? under Klaipėda ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9.812"
],
"style": "rule"
} | {
"answer": [
"9.812"
],
"id": "wikisql-61207",
"question": "Looking at immigration to Europe, what was the lowest number of total foreign-born people (millions) when the number of people born in a non-EU country (millions) was 6,415?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61208",
"question": "From the list of immigration to Europe, what was the average number of people born in other EU countries in millions if the total number of foreign-born people in millions was 0.5 and if the total population in millions was less than 5,534 cheated?... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61209",
"question": "From immigration to Europe, what was the average number of people born in other EU countries in millions if the number of people born in a non-EU country in millions was 31,368 and if the total population in millions was more than 501,098 ?",
"sp... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4.767"
],
"style": "rule"
} | {
"answer": [
"4.767"
],
"id": "wikisql-61210",
"question": "For immigration to Europe, how many people were born in a non-EU country (in millions) if the total population (in millions) was 62,008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"தைப்பூசம்"
],
"style": "rule"
} | {
"answer": [
"தைப்பூசம்"
],
"id": "wikisql-61212",
"question": "What is the Tamil Name of Thaipusam Holiday in George Town, Penang?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chinese"
],
"style": "rule"
} | {
"answer": [
"Chinese"
],
"id": "wikisql-61213",
"question": "What is the Tamil name of the Lunar New Year (Day 2) in George Town, Penang?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"農曆新年 (第3天)"
],
"style": "rule"
} | {
"answer": [
"農曆新年 (第3天)"
],
"id": "wikisql-61214",
"question": "What is the Chinese name of the holiday with a Tamil name for the Lunar New Year (Day 3) in George Town, Penang?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Joe Cronin"
],
"style": "rule"
} | {
"answer": [
"Joe Cronin"
],
"id": "wikisql-61240",
"question": "Who is the opponent of the 3:00 for Efrain Escudero?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dutch , West Frisian"
],
"style": "rule"
} | {
"answer": [
"Dutch , West Frisian"
],
"id": "wikisql-61249",
"question": "Which language is mainly used in the film title Nynke in the list of Dutch entries for the Oscar for best foreign language film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Not Nominated"
],
"style": "rule"
} | {
"answer": [
"Not Nominated"
],
"id": "wikisql-61250",
"question": "What was the result for the 1964 film: (37th) from the list of Dutch entries for the Oscar for Best Foreign Language Film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Monsieur Hawarden"
],
"style": "rule"
} | {
"answer": [
"Monsieur Hawarden"
],
"id": "wikisql-61251",
"question": "What is the nomination title for the original film Monsieur Hawarden in the list of Dutch entries for the Oscar for Best Foreign Language Film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Black Book"
],
"style": "rule"
} | {
"answer": [
"Black Book"
],
"id": "wikisql-61252",
"question": "What is the nomination title for the original film Zwartboek in the list of Dutch entries for the Oscar for Best Foreign Language Film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dutch , German , English"
],
"style": "rule"
} | {
"answer": [
"Dutch , German , English"
],
"id": "wikisql-61253",
"question": "In the list of Dutch entries for the Oscar for Best Foreign Language Film, which language is primarily used in the film Black Book?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61254",
"question": "What is the average agricultural panel score among members of the 4th Seanad with a Labor panel score below 1, an overall score below 21 and a National University of Ireland score above 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-61255",
"question": "What is the highest administrative panel score with an agriculture panel score less than 1 and a labor panel score less than 5 for members of the 4th Seanad?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61256",
"question": "What is the highest work panel score with a Culture and Education panel greater than 1, a University of Dublin score greater than 0 and a total score less than 60 for members of the 4th Seanad?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61257",
"question": "What is the overall score of the University of Dublin with a working body greater than 11 among the 4th Seanad members?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"94577"
],
"style": "rule"
} | {
"answer": [
"94577"
],
"id": "wikisql-61259",
"question": "What is the highest immigration in 2012 for a country with immigration of 81,094 in 2011 in immigration to Italy?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Standard"
],
"style": "rule"
} | {
"answer": [
"Standard"
],
"id": "wikisql-61260",
"question": "What is the gauge of the G534 locomotive owned by Aurizon that has Class V/Line G operational status?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"G513",
"G514"
],
"style": "rule"
} | {
"answer": [
"G513",
"G514"
],
"id": "wikisql-61261",
"question": "Which locomotive from the Class V/Line G list entered service in November 1984 and is operated by the Southern Shorthaul Railroad?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"84/1240",
"84/1243"
],
"style": "rule"
} | {
"answer": [
"84/1240",
"84/1243"
],
"id": "wikisql-61262",
"question": "What is the serial number of the locomotive that entered service in November 1984 and is owned by Chicago Freight Car Leasing Australia in Class V/Line G?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"89/1275"
],
"style": "rule"
} | {
"answer": [
"89/1275"
],
"id": "wikisql-61263",
"question": "What is the serial number of the Class V/Line G locomotive that entered service in October 1989?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"HAM"
],
"style": "rule"
} | {
"answer": [
"HAM"
],
"id": "wikisql-61269",
"question": "What type of IATA does Hamburg Airport have under SunExpress?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Turkey"
],
"style": "rule"
} | {
"answer": [
"Turkey"
],
"id": "wikisql-61270",
"question": "Which country has an IATA from Bal under SunExpress?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61271",
"question": "Which SunExpress country does IATA offer?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Turkey"
],
"style": "rule"
} | {
"answer": [
"Turkey"
],
"id": "wikisql-61272",
"question": "Which country has an ICAO of ltcd under SunExpress?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Erzurum Airport"
],
"style": "rule"
} | {
"answer": [
"Erzurum Airport"
],
"id": "wikisql-61273",
"question": "Which airport has an IATA from ore under SunExpress?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"SXF"
],
"style": "rule"
} | {
"answer": [
"SXF"
],
"id": "wikisql-61274",
"question": "What an IATA that has an airport from Berlin Schoenefeld under SunExpress?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Åge Sten Glam Nilsen (m & l)"
],
"style": "rule"
} | {
"answer": [
"Åge Sten Glam Nilsen (m & l)"
],
"id": "wikisql-61275",
"question": "Who provided lyrics or music to artist Cube under Norway in Eurovision Song Contest 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": [
"W/O"
],
"style": "rule"
} | {
"answer": [
"W/O"
],
"id": "wikisql-61276",
"question": "How Much Was Somali Airlines Boeing 707-320B Aircraft Damage?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5/30"
],
"style": "rule"
} | {
"answer": [
"5/30"
],
"id": "wikisql-61277",
"question": "What was the Somali Airlines Viscount 700 death toll?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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/O"
],
"style": "rule"
} | {
"answer": [
"W/O"
],
"id": "wikisql-61278",
"question": "What was the plane damage in the accident with 30/30 fatalities for Somali Airlines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hargeisa"
],
"style": "rule"
} | {
"answer": [
"Hargeisa"
],
"id": "wikisql-61279",
"question": "At what location did Somali Airlines have an accident involving F-27-600RF aircraft with tail number 6O-SAZ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6O-AAJ"
],
"style": "rule"
} | {
"answer": [
"6O-AAJ"
],
"id": "wikisql-61280",
"question": "What was the tail number of the plane at Somali Airlines that had 5/30 fatalities?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Balad"
],
"style": "rule"
} | {
"answer": [
"Balad"
],
"id": "wikisql-61281",
"question": "What was the location of the Somali Airlines accident that resulted in 50/50 fatalities?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Stacy Lewis"
],
"style": "rule"
} | {
"answer": [
"Stacy Lewis"
],
"id": "wikisql-61303",
"question": "Which champion has Sentosa Golf Club as a venue for HSBC Women's Champions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61304",
"question": "What is the highest winning percentage Jiyai Shin has as a championship with a year ahead of 2009 for HSBC Women's Champions. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Australia"
],
"style": "rule"
} | {
"answer": [
"Australia"
],
"id": "wikisql-61305",
"question": "Of the HSBC Women's Champions, which county has 2011 as the year?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"195000"
],
"style": "rule"
} | {
"answer": [
"195000"
],
"id": "wikisql-61306",
"question": "How many winning percentages does Ai Miyazato have as a champion among the HSBC Women's Champions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61307",
"question": "What is the bronze medal total for the Soviet Union if there are more than 0 silver medals and more than 3 total medals from 1965 World Judo Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-61308",
"question": "What is the lowest rank of a nation with less than 3 gold medals, more than 2 bronze medals and 0 silver medals at the 1965 World Judo 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": [
"vocals"
],
"style": "rule"
} | {
"answer": [
"vocals"
],
"id": "wikisql-61309",
"question": "What is Greg Puciato's contribution to the Board Up the House album?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"MixHell"
],
"style": "rule"
} | {
"answer": [
"MixHell"
],
"id": "wikisql-61310",
"question": "Which band has a year over 2011 under Greg Puciato?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Palestine"
],
"style": "rule"
} | {
"answer": [
"Palestine"
],
"id": "wikisql-61313",
"question": "What is the English name of the country that has Ramallah as its capital among the English exonyms of Arabic-speaking places?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Qatar"
],
"style": "rule"
} | {
"answer": [
"Qatar"
],
"id": "wikisql-61314",
"question": "What is the English name of the country whose capital is Doha among the English exonyms for Arabic-speaking places?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"نجامينا"
],
"style": "rule"
} | {
"answer": [
"نجامينا"
],
"id": "wikisql-61315",
"question": "What is the name of the capital in Arabic, which is called n'djamena in English among the English exonyms of Arabic-speaking places?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"جزر القمر"
],
"style": "rule"
} | {
"answer": [
"جزر القمر"
],
"id": "wikisql-61316",
"question": "Among the English exonyms for Arabic-speaking places, what is the name of the country in Arabic whose capital is Moroni in English?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"TBA"
],
"style": "rule"
} | {
"answer": [
"TBA"
],
"id": "wikisql-61317",
"question": "When was Nothing but the truth premiered on TVB Jade Channel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jerry Springer"
],
"style": "rule"
} | {
"answer": [
"Jerry Springer"
],
"id": "wikisql-61318",
"question": "Who hosted the premiere of Nothing but the truth on November 10, 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": [
"Russia"
],
"style": "rule"
} | {
"answer": [
"Russia"
],
"id": "wikisql-61319",
"question": "Considering Nothing but the Truth, which country had a premiere on July 24, 2010?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Channel 2"
],
"style": "rule"
} | {
"answer": [
"Channel 2"
],
"id": "wikisql-61320",
"question": "Which channel comes from Israel under Nothing but the Truth?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61321",
"question": "What is the greatest 1985 World Wrestling Championships total if the rank is 6 and there is less than 1 gold?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61322",
"question": "What is the greatest gold count if the total is less than 3, the rank is 5 and the silver count is more than 1 at the 1985 World Wrestling Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-61323",
"question": "What is the total number of silvers in the 1985 World Wrestling Championships if gold is less than 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": [
"1956"
],
"style": "rule"
} | {
"answer": [
"1956"
],
"id": "wikisql-61327",
"question": "What is the sum of all years with a bell weighing 857 kilograms in the Jesuit Church in Mannheim?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61331",
"question": "What was the earliest week the Titans played in the Ford Field 2008 Tennessee Titans 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": [
"September 21"
],
"style": "rule"
} | {
"answer": [
"September 21"
],
"id": "wikisql-61332",
"question": "Before week 13 of the 2008 season, when did the Tennessee Titans play the Houston Texans at LP Field?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"A5"
],
"style": "rule"
} | {
"answer": [
"A5"
],
"id": "wikisql-61336",
"question": "From the list of highways in Croatia, which highway is located in the Brod-Posavina district and is scheduled to be completed in 2013?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61348",
"question": "From the list of cities and municipalities in Austria, what was the sum of the population in 2007, from the federal state of Tyrol, in 1991 less than 10,179 inhabitants and a rank greater than 52?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10349.0"
],
"style": "rule"
} | {
"answer": [
"10349.0"
],
"id": "wikisql-61349",
"question": "From the list of cities and communes in Austria, what is the average population of Eisenstadt in 1991, which in 2001 has less than 16,045 inhabitants and ranks less than 58?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61350",
"question": "From the list of cities and communes in Austria, what is the highest population in 1991 in Baden Bei Wien and a population in 2007 greater than 25,284?",
"split": "train"
} |
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