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": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikitq-02412",
"question": "How many flowers are the same type as the liberty bell under the camellia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikitq-02414",
"question": "How many cultivars of the semi-double flower type are camellias?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02415",
"question": "How many medals did France win in total at the 2008 World Sambo 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": [
"Ukraine"
],
"style": "rule"
} | {
"answer": [
"Ukraine"
],
"id": "wikitq-02416",
"question": "Which nation has the most bronze medals at the 2008 World Sambo 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": [
"37"
],
"style": "rule"
} | {
"answer": [
"37"
],
"id": "wikitq-02417",
"question": "How many nations finished last at the 2008 World Sambo Championships with a total of 0 medals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02418",
"question": "Which nation finished first at the 2008 World Sambo Championships with most overall medals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ukraine"
],
"style": "rule"
} | {
"answer": [
"Ukraine"
],
"id": "wikitq-02419",
"question": "Which country won the most bronze medals at the 2008 World Sambo 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": [
"27"
],
"style": "rule"
} | {
"answer": [
"27"
],
"id": "wikitq-02420",
"question": "How many medals did Russia win at the 2008 World Sambo 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": [
"Star of Nanchang"
],
"style": "rule"
} | {
"answer": [
"Star of Nanchang"
],
"id": "wikitq-02424",
"question": "Which of the following roller coasters is the oldest: Star of Lake Tai, Star of Nanchang, Melbourne Star among Ferris wheels?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikitq-02437",
"question": "How many polls did the company gis xxi publish in total during the 2010 Venezuelan 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": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikitq-02438",
"question": "How many different polling companies are listed in the 2010 Venezuelan 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": [
"Keller & Asociados"
],
"style": "rule"
} | {
"answer": [
"Keller & Asociados"
],
"id": "wikitq-02439",
"question": "Which polling company has the most opposition in the 2010 Venezuelan 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": [
"23"
],
"style": "rule"
} | {
"answer": [
"23"
],
"id": "wikitq-02440",
"question": "How many people were in opposition in Venezuela 2010 general elections in May 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": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikitq-02441",
"question": "How many different polling companies are represented in the 2010 Venezuelan 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": "wikitq-02442",
"question": "In the 1921/22 Huddersfield Town FC season the lowest total number of appearances was ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"15.5"
],
"style": "rule"
} | {
"answer": [
"15.5"
],
"id": "wikitq-02443",
"question": "What was the average number of apps in Scotland in 1921–22 by Huddersfield Town 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": [
"England"
],
"style": "rule"
} | {
"answer": [
"England"
],
"id": "wikitq-02444",
"question": "Name the best-appearing nation in the 1921/22 Huddersfield Town FC 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": [
"8"
],
"style": "rule"
} | {
"answer": [
"8"
],
"id": "wikitq-02445",
"question": "How many players are fws for Huddersfield Town FC season 1921–22?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"27"
],
"style": "rule"
} | {
"answer": [
"27"
],
"id": "wikitq-02446",
"question": "How many league apps does Ted Davis have in Huddersfield Town FC season 1921-22?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02447",
"question": "What was the average number of goals scored by players from Scotland in Huddersfield Town FC season 1921-22?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"GK"
],
"style": "rule"
} | {
"answer": [
"GK"
],
"id": "wikitq-02448",
"question": "Which position of 1921-22 Huddersfield Town FC is listed least frequently in this table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"46"
],
"style": "rule"
} | {
"answer": [
"46"
],
"id": "wikitq-02449",
"question": "How many episodes does Sailor Moon 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": [
"Zimbabwe"
],
"style": "rule"
} | {
"answer": [
"Zimbabwe"
],
"id": "wikitq-02450",
"question": "Which country is the only country with a GDP growth of 0.6% for the African economy?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mali"
],
"style": "rule"
} | {
"answer": [
"Mali"
],
"id": "wikitq-02451",
"question": "Which countries have the same GDP growth as Mauritius among economy of Africa?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ethiopia"
],
"style": "rule"
} | {
"answer": [
"Ethiopia"
],
"id": "wikitq-02452",
"question": "Among Africa's economy, who has the greater GDP growth Angola or Ethiopia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ron Turcotte"
],
"style": "rule"
} | {
"answer": [
"Ron Turcotte"
],
"id": "wikitq-02453",
"question": "Wer ritt 1973 im Secretariat Triple Crown of Thoroughbred Racing?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Calumet Farm"
],
"style": "rule"
} | {
"answer": [
"Calumet Farm"
],
"id": "wikitq-02454",
"question": "Among the Triple Crown of Thoroughbred Racing, who was the breeder of the 1941 Triple Crown winner?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Steve Cauthen"
],
"style": "rule"
} | {
"answer": [
"Steve Cauthen"
],
"id": "wikitq-02455",
"question": "Welcher Jockey gewann 1978 die Triple Crown in Triple Crown of Thoroughbred Racing?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1919"
],
"style": "rule"
} | {
"answer": [
"1919"
],
"id": "wikitq-02456",
"question": "What year did Triple Crown of Thoroughbred Racing first see a Triple Crown winner?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1977"
],
"style": "rule"
} | {
"answer": [
"1977"
],
"id": "wikitq-02457",
"question": "What year did Seattle Slew win the Triple Crown of Thoroughbred Racing?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2:37.70"
],
"style": "rule"
} | {
"answer": [
"2:37.70"
],
"id": "wikitq-02458",
"question": "How long did it take Aurelie Rivard to run the women's SM10 200m individual medley at the 2012 Summer Paralympics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sophie Pascoe"
],
"style": "rule"
} | {
"answer": [
"Sophie Pascoe"
],
"id": "wikitq-02459",
"question": "Swimming at the 2012 Summer Paralympic Games - Women's SM10 200m individual medley, who was the fastest swimmer?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8"
],
"style": "rule"
} | {
"answer": [
"8"
],
"id": "wikitq-02460",
"question": "How many total people attended the SM10 women's 200m individual medley event at the 2012 Summer Paralympics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sophie Pascoe"
],
"style": "rule"
} | {
"answer": [
"Sophie Pascoe"
],
"id": "wikitq-02461",
"question": "2012 Summer Paralympics women's SM10 200m individual medley, who came first?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gemma Almond"
],
"style": "rule"
} | {
"answer": [
"Gemma Almond"
],
"id": "wikitq-02462",
"question": "From swimming at the 2012 Summer Paralympic Games - women's 200m medley SM10 - Lee was one of two swimmers from Great Britain. Who was the second?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Katherine Downie"
],
"style": "rule"
} | {
"answer": [
"Katherine Downie"
],
"id": "wikitq-02463",
"question": "Who finished swimming just above Ryabova at the 2012 Summer Paralympics – women's SM10 200m individual medley?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02464",
"question": "How many swimmers from China took part in the swimming competition at the 2012 Summer Paralympics - Women's 200m individual SM10?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Silvia Sperber (FRG)"
],
"style": "rule"
} | {
"answer": [
"Silvia Sperber (FRG)"
],
"id": "wikitq-02465",
"question": "For 1988 Summer Olympics Shooting - Women's 50m Rifle three positions, which athlete has the most overall?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Silvia Sperber (FRG)",
"Vesela Letcheva (BUL)",
"Katja Klepp (GDR)",
"Sharon Bowes (CAN)"
],
"style": "rule"
} | {
"answer": [
"Silvia Sperber (FRG)",
"Vesela Letcheva (BUL)",
"Katja Klepp (GDR)",
"Sharon Bowes (CAN)"
],
"id": "wikitq-02466",
"question": "Which skiers ran in three-position shooting in the women's 95.4-50m rifle at the 1988 Summer Olympics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Silvia Sperber (FRG)"
],
"style": "rule"
} | {
"answer": [
"Silvia Sperber (FRG)"
],
"id": "wikitq-02467",
"question": "Who ran the most in shooting at the 1988 Summer Olympics - women's 50m rifle three positions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1976"
],
"style": "rule"
} | {
"answer": [
"1976"
],
"id": "wikitq-02468",
"question": "In what year did the FIBA South America U17 Championship for Women first begin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Argentina"
],
"style": "rule"
} | {
"answer": [
"Argentina"
],
"id": "wikitq-02469",
"question": "What is the highest country for which the FIBA South America U17 Championship for Women won bronze?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Paraguay (Asunción)"
],
"style": "rule"
} | {
"answer": [
"Paraguay (Asunción)"
],
"id": "wikitq-02470",
"question": "Who hosted the tournament for the FIBA South America U17 Championship for Women prior to 1981?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02471",
"question": "Considering the FIBA South America U17 Championship for Women, how many gold medals has Brazil won?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikitq-02472",
"question": "How many combined times have Brazil and Argentina failed to win a gold at the FIBA South America U17 Championship for Women?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Brazil"
],
"style": "rule"
} | {
"answer": [
"Brazil"
],
"id": "wikitq-02473",
"question": "Which country of the FIBA South America U17 Championship for Women brought home the most 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": [
"1987",
"2002",
"2009",
"2013"
],
"style": "rule"
} | {
"answer": [
"1987",
"2002",
"2009",
"2013"
],
"id": "wikitq-02474",
"question": "In what years did Chile place silver or bronze at the FIBA South America U17 Women's Championship for Women?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikitq-02475",
"question": "Before 2000, how many gold medals did Brazil win at the FIBA South America U17 Championship for Women?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"56"
],
"id": "wikitq-02485",
"question": "How many laps does the 2009 Chinese Grand Prix race take in total?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jarno Trulli"
],
"style": "rule"
} | {
"answer": [
"Jarno Trulli"
],
"id": "wikitq-02486",
"question": "Which driver is the only driver who retired from the 2009 Chinese Grand Prix due to collision 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": [
"7"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikitq-02487",
"question": "How many drivers did not complete 56 laps at the 2009 Chinese 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": [
"McLaren-Mercedes"
],
"style": "rule"
} | {
"answer": [
"McLaren-Mercedes"
],
"id": "wikitq-02488",
"question": "Which constructor did Heikki Kovalalainen and Lewis Hamilton have at the 2009 Chinese 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": [
"+44.975"
],
"style": "rule"
} | {
"answer": [
"+44.975"
],
"id": "wikitq-02489",
"question": "What was Jenson Button's time at the 2009 Chinese 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": [
"20"
],
"style": "rule"
} | {
"answer": [
"20"
],
"id": "wikitq-02490",
"question": "From the 2009 Chinese Grand Prix list, what is the total number of drivers on the 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": [
"Robert Lopez"
],
"style": "rule"
} | {
"answer": [
"Robert Lopez"
],
"id": "wikitq-02491",
"question": "List of people who have won Academy, Emmy, Grammy and Tony Awards. Who also won the Grammy in the same year as Scott Rudin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Manuela Bravo"
],
"style": "rule"
} | {
"answer": [
"Manuela Bravo"
],
"id": "wikitq-02492",
"question": "Who scored the most points under Portugal in the 1979 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Manuela Bravo"
],
"style": "rule"
} | {
"answer": [
"Manuela Bravo"
],
"id": "wikitq-02493",
"question": "Who was the last draw between Portugal in the 1979 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gabriela Schaaf"
],
"style": "rule"
} | {
"answer": [
"Gabriela Schaaf"
],
"id": "wikitq-02494",
"question": "Who sang \"I just want\" as their song for Portugal in the 1979 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Teresa Silva Carvalho"
],
"style": "rule"
} | {
"answer": [
"Teresa Silva Carvalho"
],
"id": "wikitq-02495",
"question": "Which artist finished last for Portugal in the 1979 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"63"
],
"style": "rule"
} | {
"answer": [
"63"
],
"id": "wikitq-02496",
"question": "What is the total score for Florencia among Portugal in the 1979 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02497",
"question": "Which year is the year with the most titles at Hoot Kloot?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mesa Trouble"
],
"style": "rule"
} | {
"answer": [
"Mesa Trouble"
],
"id": "wikitq-02498",
"question": "According to Hoot Kloot, what was the last title Sid Marcus directed?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gerry Chiniquy"
],
"style": "rule"
} | {
"answer": [
"Gerry Chiniquy"
],
"id": "wikitq-02499",
"question": "Who has directed most Hoot Kloot titles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gerry Chiniquy"
],
"style": "rule"
} | {
"answer": [
"Gerry Chiniquy"
],
"id": "wikitq-02500",
"question": "Who directed the most cartoons for Hoot Kloot?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02501",
"question": "How many Hoot Kloot titles has Bob Balsar directed?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Democratic Party"
],
"style": "rule"
} | {
"answer": [
"Democratic Party"
],
"id": "wikitq-02502",
"question": "Which party had the most seats in the history of the Democratic Alliance (South Africa)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8"
],
"style": "rule"
} | {
"answer": [
"8"
],
"id": "wikitq-02503",
"question": "What is the total number of elections listed for the history of the Democratic Alliance (South Africa)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1989"
],
"style": "rule"
} | {
"answer": [
"1989"
],
"id": "wikitq-02504",
"question": "From the history of the Democratic Alliance (South Africa), which election had the most total votes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"34"
],
"style": "rule"
} | {
"answer": [
"34"
],
"id": "wikitq-02505",
"question": "What is the largest number of seats in the history of the Democratic Alliance (South Africa)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikitq-02506",
"question": "What is the total number of deputy judges retrospectively abolished among the judges of the Permanent Court of Justice?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yugoslavia"
],
"style": "rule"
} | {
"answer": [
"Yugoslavia"
],
"id": "wikitq-02507",
"question": "Which country had the most deputy judges among the judges of the Permanent Court of Justice?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikitq-02508",
"question": "From January 15, 1931 to February 1, 1936, how many judges of the Permanent Court of International Justice were in office between 1931 and 1936?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Super Star"
],
"style": "rule"
} | {
"answer": [
"Super Star"
],
"id": "wikitq-02512",
"question": "Which song from Super Star (SHE album) has the longest weeks in the global top 15 charts in Asia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikitq-02513",
"question": "How many weeks away was the Super Star album song in the UFO top 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": [
"17"
],
"style": "rule"
} | {
"answer": [
"17"
],
"id": "wikitq-02519",
"question": "From the list of rockmelons, how long have they been producing singles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Peter Blakeley"
],
"style": "rule"
} | {
"answer": [
"Peter Blakeley"
],
"id": "wikitq-02520",
"question": "Who was the lead singer of Rockmelons in \"Sweat it Out\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17"
],
"style": "rule"
} | {
"answer": [
"17"
],
"id": "wikitq-02521",
"question": "What is the total number of singles for Rockmelons?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nardi et Co."
],
"style": "rule"
} | {
"answer": [
"Nardi et Co."
],
"id": "wikitq-02527",
"question": "Who completed only 7 laps in the 1954 24 Hours of Le Mans?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Automobili O.S.C.A."
],
"style": "rule"
} | {
"answer": [
"Automobili O.S.C.A."
],
"id": "wikitq-02528",
"question": "Did Automobili Osca or David Brown drive the most laps at the 24 Hours of Le Mans in 1954?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Automobili O.S.C.A."
],
"style": "rule"
} | {
"answer": [
"Automobili O.S.C.A."
],
"id": "wikitq-02529",
"question": "Which team had the most laps in the 1954 24 Hours of Le Mans?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Automobiles Panhard et Levassor"
],
"style": "rule"
} | {
"answer": [
"Automobiles Panhard et Levassor"
],
"id": "wikitq-02530",
"question": "Which team did not complete a single lap at the 1954 24 Hours of Le Mans?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikitq-02531",
"question": "From 1954 24 Hours of Le Mans, how many completed more than 150 laps?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Arsenal"
],
"style": "rule"
} | {
"answer": [
"Arsenal"
],
"id": "wikitq-02535",
"question": "Which Football League Cup Final team has won twice but been runners-up five times?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Liverpool"
],
"style": "rule"
} | {
"answer": [
"Liverpool"
],
"id": "wikitq-02536",
"question": "From the Football League Cup finals list, which team has the most wins?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Swansea City"
],
"style": "rule"
} | {
"answer": [
"Swansea City"
],
"id": "wikitq-02537",
"question": "Which team has won more Football League Cup finals, Swansea City or West Ham United?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikitq-02538",
"question": "How many wins does Manchester United have in the Football League Cup finals 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": [
"11"
],
"style": "rule"
} | {
"answer": [
"11"
],
"id": "wikitq-02539",
"question": "How many teams have won at most 1 Football League Cup final?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Wolverhampton Wanderers"
],
"style": "rule"
} | {
"answer": [
"Wolverhampton Wanderers"
],
"id": "wikitq-02540",
"question": "Which team has won only twice and never been runners-up in the Football League Cup final?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"West Ham United",
"Everton",
"Bolton Wanderers",
"Sunderland",
"Rotherham United",
"Rochdale",
"Newcastle United",
"Southampton",
"Oldham Athletic",
"Tranmere Rovers",
"Wigan Athletic",
"Cardiff City",
"Bradford City"
],
"style": "rule"
} | {
"answer": [
"West Ham United",
"Everton",
"Bolton Wanderers",
"Sunderland",
"Rotherham United",
"Rochdale",
"Newcastle United",
"Southampton",
"Oldham Athletic",
"Tranmere Rovers",
"Wigan Athletic",
"Cardiff City",
"Bradford City"
],
"id": "wikitq-02541",
"q... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikitq-02542",
"question": "How many runners-up did Arsenal have for the final of the Football League Cup 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": [
"8"
],
"style": "rule"
} | {
"answer": [
"8"
],
"id": "wikitq-02544",
"question": "Football League Cup finals list, how many times has Liverpool won in total?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Arsenal"
],
"style": "rule"
} | {
"answer": [
"Arsenal"
],
"id": "wikitq-02545",
"question": "Which team in the Football League Cup finals list has been runners-up the most times?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Aston Villa"
],
"style": "rule"
} | {
"answer": [
"Aston Villa"
],
"id": "wikitq-02546",
"question": "From the Football League Cup finals list, Liverpool had 8 wins. Who's next ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikitq-02547",
"question": "How many teams have been winners of at least 5 times in the Football League Cup finals 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": [
"Robson Green & Jerome Flynn"
],
"style": "rule"
} | {
"answer": [
"Robson Green & Jerome Flynn"
],
"id": "wikitq-02554",
"question": "Who performed the number 1 single of 1995 under 1995 in UK music?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikitq-02555",
"question": "How many songs reached number 1 in UK music at their highest point in 1995?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Earth Song"
],
"style": "rule"
} | {
"answer": [
"Earth Song"
],
"id": "wikitq-02556",
"question": "What is Michael Jackson's other song title besides \"you are not alone\" in 1995 British music?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"32"
],
"style": "rule"
} | {
"answer": [
"32"
],
"id": "wikitq-02557",
"question": "What position did Madonna have in the top 40 singles chart of 1995 among the 1995 in British music?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17"
],
"style": "rule"
} | {
"answer": [
"17"
],
"id": "wikitq-02558",
"question": "How many songs in British music sold at least 500,000 copies in 1995?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"32000"
],
"style": "rule"
} | {
"answer": [
"32000"
],
"id": "wikitq-02559",
"question": "What is the difference between 1995 sales of ''think twice'' and ''back for good'' in UK music?",
"split": "train"
} |
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