instance_id stringlengths 12 12 | query stringlengths 280 559 | answer stringlengths 367 1.22k | evaluation dict | language stringclasses 1
value |
|---|---|---|---|---|
ms_en_121b88 | Help me build a filmography overview for Ruben Fleischer. Pull all their directed films from the movie database and cross-reference with encyclopedia entries for personal details.
Present the data as a single Markdown table. Columns needed:
Film Title, Genre, Runtime (min), Revenue (USD), Budget (USD), Release Year, D... | Film Title=Zombieland | Genre=Comedy, Horror | Runtime (min)=88 | Revenue (USD)=$102,391,382 | Budget (USD)=$23,600,000 | Release Year=2009 | Director Birth Date=October 31, 1974 | Director Nationality=American || Film Title=30 Minutes or Less | Genre=Action, Adventure, Comedy | Runtime (min)=83 | Revenue (USD)=$40,547... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"genre",
"runtime(min)",
"revenue(usd)",
"budget(usd)",
"releaseyear",
"directorbirthdate",
"directornationality"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
... | en |
ms_en_92e36e | Help me build a filmography overview for Will Gluck. Pull all their directed films from the movie database and cross-reference with encyclopedia entries for personal details.
Present the data as a single Markdown table. Columns needed:
Film Title, Runtime (min), Revenue (USD), Release Year, Budget (USD), Genre, Direct... | Film Title=Easy A | Runtime (min)=92 | Revenue (USD)=$74,952,305 | Release Year=2010 | Budget (USD)=$8,000,000 | Genre=Comedy | Director Nationality=American | Director Birth Date=November 7, 1978 || Film Title=Friends with Benefits | Runtime (min)=109 | Revenue (USD)=$150,483,765 | Release Year=2011 | Budget (USD)=$35... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"runtime(min)",
"revenue(usd)",
"releaseyear",
"budget(usd)",
"genre",
"directornationality",
"directorbirthdate"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
... | en |
ms_en_99b417 | Help me build a filmography overview for Randal Kleiser. Pull all their directed films from the movie database and cross-reference with encyclopedia entries for personal details.
Present the data as a single Markdown table. Columns needed:
Film Title, Runtime (min), Release Year, Director Nationality, Director Birth D... | Film Title=Grease | Runtime (min)=110 | Release Year=1978 | Director Nationality=American | Director Birth Date=July 20, 1946 || Film Title=The Blue Lagoon | Runtime (min)=104 | Release Year=1980 | Director Nationality=American | Director Birth Date=July 20, 1946 || Film Title=White Fang | Runtime (min)=107 | Release Y... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"runtime(min)",
"releaseyear",
"directornationality",
"directorbirthdate"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"exact_match"
]
},
... | en |
ms_en_10629a | I'm doing research on Brad Peyton. Retrieve every film they directed from the film database and supplement with their nationality and birth information from an encyclopedia.
Format the output as one Markdown table with columns:
Film Title, Runtime (min), Genre, Revenue (USD), Release Year, Budget (USD), Director Birth... | Film Title=Cats & Dogs 2 : The Revenge of Kitty Galore | Runtime (min)=82 | Genre=Comedy, Family | Revenue (USD)=$112,483,764 | Release Year=2010 | Budget (USD)=$85,000,000 | Director Birth Date=May 27, 1978 | Director Nationality=Canadian || Film Title=Journey 2: The Mysterious Island | Runtime (min)=94 | Genre=Advent... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"runtime(min)",
"genre",
"revenue(usd)",
"releaseyear",
"budget(usd)",
"directorbirthdate",
"directornationality"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
... | en |
ms_en_29837c | I want to analyze the complete filmography of director Breck Eisner. Please find all films directed by Breck Eisner from the movie database, and also look up Breck Eisner's biographical information from an encyclopedia source.
Please organize the results in one Markdown table with the following columns:
Film Title, Re... | Film Title=Sahara | Revenue (USD)=$119,269,486 | Budget (USD)=$130,000,000 | Director Birth Date=December 24, 1970 || Film Title=The Crazies | Revenue (USD)=$54,956,140 | Budget (USD)=$20,000,000 | Director Birth Date=December 24, 1970 || Film Title=The Last Witch Hunter | Revenue (USD)=$146,936,910 | Budget (USD)=$90,... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"revenue(usd)",
"budget(usd)",
"directorbirthdate"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"exact_match"
]
},
"revenue(usd)": {
"... | en |
ms_en_9abcc4 | I want to analyze the complete filmography of director Ron Shelton. Please find all films directed by Ron Shelton from the movie database, and also look up Ron Shelton's biographical information from an encyclopedia source.
Please organize the results in one Markdown table with the following columns:
Film Title, Genre... | Film Title=Tin Cup | Genre=Comedy, Drama, Romance | Release Year=1996 | Runtime (min)=135 | Revenue (USD)=$53,854,588 | Director Nationality=American | Director Birth Date=September 15, 1945 || Film Title=Play It to the Bone | Genre=Comedy, Drama | Release Year=1999 | Runtime (min)=124 | Revenue (USD)=$8,434,146 | Dire... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"genre",
"releaseyear",
"runtime(min)",
"revenue(usd)",
"directornationality",
"directorbirthdate"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
... | en |
ms_en_3ac15f | Show me Lambert Wilson's 5 biggest box-office hits. Use the movie database for film data and an encyclopedia for personal info.
Output a Markdown table with these columns:
Film Title, Revenue (USD), Release Year, Genre, Budget (USD), Actor Birth Date, Actor Nationality
Output format:
```markdown
{data_content}
```. | Film Title=Catwoman | Revenue (USD)=$82,102,379 | Release Year=2004 | Genre=Action, Crime | Budget (USD)=$100,000,000 | Actor Birth Date=3 August 1958 | Actor Nationality=French || Film Title=Babylon A.D. | Revenue (USD)=$72,108,608 | Release Year=2008 | Genre=Action, Adventure, Science Fiction, Thriller | Budget (USD)... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"revenue(usd)",
"releaseyear",
"genre",
"budget(usd)",
"actorbirthdate",
"actornationality"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"exac... | en |
ms_en_438bdf | Find the top 8 movies by box-office revenue for actor Kristen Bell from the film database. Also fetch Kristen Bell's biographical details from Wikipedia.
Merge everything into a single Markdown table with columns:
Film Title, Revenue (USD), Release Year, Budget (USD), Actor Nationality
Just the table please:
```markd... | Film Title=Frozen | Revenue (USD)=$1,274,219,009 | Release Year=2013 | Budget (USD)=$150,000,000 | Actor Nationality=American || Film Title=Bad Moms | Revenue (USD)=$183,936,074 | Release Year=2016 | Budget (USD)=$20,000,000 | Actor Nationality=American || Film Title=Couples Retreat | Revenue (USD)=$171,844,840 | Relea... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"revenue(usd)",
"releaseyear",
"budget(usd)",
"actornationality"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"exact_match"
]
},
"revenu... | en |
ms_en_a27d03 | Show me Joe Pantoliano's 6 biggest box-office hits. Use the movie database for film data and an encyclopedia for personal info.
Output a Markdown table with these columns:
Film Title, Revenue (USD), Release Year, Genre, Actor Nationality
Output format:
```markdown
{data_content}
```. | Film Title=The Fugitive | Revenue (USD)=$368,875,760 | Release Year=1993 | Genre=Adventure, Action, Thriller, Crime, Mystery | Actor Nationality=American || Film Title=Bad Boys | Revenue (USD)=$141,407,024 | Release Year=1995 | Genre=Action, Comedy, Crime, Thriller | Actor Nationality=American || Film Title=Memento | R... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"revenue(usd)",
"releaseyear",
"genre",
"actornationality"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"exact_match"
]
},
"revenue(usd)... | en |
ms_en_f595a4 | Pull Alexander Skarsgård's highest-grossing 5 films from the movie DB and enrich the table with biographical facts from an encyclopedia source.
Columns needed:
Film Title, Revenue (USD), Runtime (min), Release Year, Actor Nationality
Return only:
```markdown
{data_content}
```. | Film Title=The Legend of Tarzan | Revenue (USD)=$356,743,061 | Runtime (min)=109 | Release Year=2016 | Actor Nationality=Swedish || Film Title=Battleship | Revenue (USD)=$303,025,485 | Runtime (min)=131 | Release Year=2012 | Actor Nationality=Swedish || Film Title=The Giver | Revenue (USD)=$66,980,456 | Runtime (min)=9... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"revenue(usd)",
"runtime(min)",
"releaseyear",
"actornationality"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"exact_match"
]
},
"reven... | en |
ms_en_aa7f25 | I'm researching the actor Michael Peña. Please find their top 7 highest-grossing films from the movie database, and also look up Michael Peña's background from an encyclopedia.
Please organize the results in one Markdown table with the following columns:
Film Title, Revenue (USD), Runtime (min), Actor Nationality, Act... | Film Title=The Martian | Revenue (USD)=$630,161,890 | Runtime (min)=141 | Actor Nationality=American | Actor Birth Date=January 13, 1976 || Film Title=Turbo | Revenue (USD)=$282,570,682 | Runtime (min)=96 | Actor Nationality=American | Actor Birth Date=January 13, 1976 || Film Title=Fury | Revenue (USD)=$211,817,906 | ... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"revenue(usd)",
"runtime(min)",
"actornationality",
"actorbirthdate"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"exact_match"
]
},
"re... | en |
ms_en_394a75 | Pull Famke Janssen's highest-grossing 6 films from the movie DB and enrich the table with biographical facts from an encyclopedia source.
Columns needed:
Film Title, Revenue (USD), Runtime (min), Release Year, Genre, Actor Birth Date, Actor Nationality
Return only:
```markdown
{data_content}
```. | Film Title=X-Men: The Last Stand | Revenue (USD)=$459,359,555 | Runtime (min)=104 | Release Year=2006 | Genre=Adventure, Action, Science Fiction, Thriller | Actor Birth Date=5 November 1964 | Actor Nationality=Dutch || Film Title=The Wolverine | Revenue (USD)=$415,440,673 | Runtime (min)=126 | Release Year=2013 | Genre... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"revenue(usd)",
"runtime(min)",
"releaseyear",
"genre",
"actorbirthdate",
"actornationality"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"exa... | en |
ms_en_18a313 | What are the top 5 Animation movies by revenue? Get the data from the film database and look up each director's bio in Wikipedia.
Format as a Markdown table:
Rank, Film Title, Director, Revenue (USD), Release Year, Runtime (min), Director Birth Date, Director Nationality
Just give me the table:
```markdown
{data_cont... | Rank=1 | Film Title=Frozen | Director=Chris Buck | Revenue (USD)=$1,274,219,009 | Release Year=2013 | Runtime (min)=102 | Director Birth Date=February 24, 1958 | Director Nationality=American || Rank=2 | Film Title=Minions | Director=Kyle Balda | Revenue (USD)=$1,156,730,962 | Release Year=2015 | Runtime (min)=91 | Dir... | {
"unique_columns": [
"rank",
"filmtitle"
],
"required": [
"rank",
"filmtitle",
"director",
"revenue(usd)",
"releaseyear",
"runtime(min)",
"directorbirthdate",
"directornationality"
],
"eval_pipeline": {
"rank": {
"preprocess": [
"norm_str"
],
... | en |
ms_en_63d43d | I need a top-5 chart of Crime movies ranked by box-office performance. For each movie, also include the director's biographical data from an encyclopedia.
Use these columns:
Rank, Film Title, Director, Runtime (min), Revenue (USD), Release Year, Director Nationality, Director Birth Date
Return:
```markdown
{data_cont... | Rank=1 | Film Title=The Dark Knight Rises | Director=Christopher Nolan | Runtime (min)=165 | Revenue (USD)=$1,084,939,099 | Release Year=2012 | Director Nationality=British | Director Birth Date=30 July 1970 || Rank=2 | Film Title=The Dark Knight | Director=Christopher Nolan | Runtime (min)=152 | Revenue (USD)=$1,004,5... | {
"unique_columns": [
"rank",
"filmtitle"
],
"required": [
"rank",
"filmtitle",
"director",
"runtime(min)",
"revenue(usd)",
"releaseyear",
"directornationality",
"directorbirthdate"
],
"eval_pipeline": {
"rank": {
"preprocess": [
"norm_str"
],
... | en |
ms_en_459dde | Compile a ranking of the 5 highest-grossing Animation films. Include film stats from the movie database and director info from encyclopedia sources.
Table columns:
Rank, Film Title, Director, Runtime (min), Budget (USD), Director Nationality, Director Birth Date
Output only the Markdown table:
```markdown
{data_conte... | Rank=1 | Film Title=Frozen | Director=Chris Buck | Runtime (min)=102 | Budget (USD)=$150,000,000 | Director Nationality=American | Director Birth Date=February 24, 1958 || Rank=2 | Film Title=Minions | Director=Kyle Balda | Runtime (min)=91 | Budget (USD)=$74,000,000 | Director Nationality=American | Director Birth Dat... | {
"unique_columns": [
"rank",
"filmtitle"
],
"required": [
"rank",
"filmtitle",
"director",
"runtime(min)",
"budget(usd)",
"directornationality",
"directorbirthdate"
],
"eval_pipeline": {
"rank": {
"preprocess": [
"norm_str"
],
"metric": [
... | en |
ms_en_e9b2a6 | What are the top 5 Animation movies by revenue? Get the data from the film database and look up each director's bio in Wikipedia.
Format as a Markdown table:
Rank, Film Title, Director, Revenue (USD), Budget (USD), Release Year, Runtime (min), Director Birth Date
Just give me the table:
```markdown
{data_content}
```... | Rank=1 | Film Title=Frozen | Director=Chris Buck | Revenue (USD)=$1,274,219,009 | Budget (USD)=$150,000,000 | Release Year=2013 | Runtime (min)=102 | Director Birth Date=February 24, 1958 || Rank=2 | Film Title=Minions | Director=Kyle Balda | Revenue (USD)=$1,156,730,962 | Budget (USD)=$74,000,000 | Release Year=2015 |... | {
"unique_columns": [
"rank",
"filmtitle"
],
"required": [
"rank",
"filmtitle",
"director",
"revenue(usd)",
"budget(usd)",
"releaseyear",
"runtime(min)",
"directorbirthdate"
],
"eval_pipeline": {
"rank": {
"preprocess": [
"norm_str"
],
"met... | en |
ms_en_e3c375 | Please find the top 5 highest-grossing Animation films from the movie database, and for each film's director, look up their background from an encyclopedia source.
Please organize the results in one Markdown table with the following columns:
Rank, Film Title, Director, Budget (USD), Runtime (min), Revenue (USD), Direc... | Rank=1 | Film Title=Frozen | Director=Chris Buck | Budget (USD)=$150,000,000 | Runtime (min)=102 | Revenue (USD)=$1,274,219,009 | Director Nationality=American || Rank=2 | Film Title=Minions | Director=Kyle Balda | Budget (USD)=$74,000,000 | Runtime (min)=91 | Revenue (USD)=$1,156,730,962 | Director Nationality=America... | {
"unique_columns": [
"rank",
"filmtitle"
],
"required": [
"rank",
"filmtitle",
"director",
"budget(usd)",
"runtime(min)",
"revenue(usd)",
"directornationality"
],
"eval_pipeline": {
"rank": {
"preprocess": [
"norm_str"
],
"metric": [
"... | en |
ms_en_5064de | I need a top-5 chart of Crime movies ranked by box-office performance. For each movie, also include the director's biographical data from an encyclopedia.
Use these columns:
Rank, Film Title, Director, Budget (USD), Release Year, Runtime (min), Revenue (USD), Director Nationality, Director Birth Date
Return:
```markd... | Rank=1 | Film Title=The Dark Knight Rises | Director=Christopher Nolan | Budget (USD)=$250,000,000 | Release Year=2012 | Runtime (min)=165 | Revenue (USD)=$1,084,939,099 | Director Nationality=British | Director Birth Date=30 July 1970 || Rank=2 | Film Title=The Dark Knight | Director=Christopher Nolan | Budget (USD)=$... | {
"unique_columns": [
"rank",
"filmtitle"
],
"required": [
"rank",
"filmtitle",
"director",
"budget(usd)",
"releaseyear",
"runtime(min)",
"revenue(usd)",
"directornationality",
"directorbirthdate"
],
"eval_pipeline": {
"rank": {
"preprocess": [
"no... | en |
ms_en_0e03dd | Please find the top 5 highest-grossing films released in 2014 from the movie database, and for each film's lead actor (first billed), look up their background from an encyclopedia.
Please organize the results in one Markdown table with the following columns:
Rank, Film Title, Lead Actor, Revenue (USD), Genre, Runtime ... | Rank=1 | Film Title=Transformers: Age of Extinction | Lead Actor=Mark Wahlberg | Revenue (USD)=$1,091,405,097 | Genre=Science Fiction, Action, Adventure | Runtime (min)=165 | Lead Actor Nationality=American | Lead Actor Birth Date=June 5, 1971 || Rank=2 | Film Title=The Hobbit: The Battle of the Five Armies | Lead Acto... | {
"unique_columns": [
"rank",
"filmtitle"
],
"required": [
"rank",
"filmtitle",
"leadactor",
"revenue(usd)",
"genre",
"runtime(min)",
"leadactornationality",
"leadactorbirthdate"
],
"eval_pipeline": {
"rank": {
"preprocess": [
"norm_str"
],
... | en |
ms_en_f9a447 | Retrieve the five top-grossing movies of 1995. For each film, identify the lead actor and find their nationality and birth date from Wikipedia.
Present as a table:
Rank, Film Title, Lead Actor, Runtime (min), Budget (USD), Revenue (USD), Lead Actor Nationality, Lead Actor Birth Date
```markdown
{data_content}
```. | Rank=1 | Film Title=Toy Story | Lead Actor=Tom Hanks | Runtime (min)=81 | Budget (USD)=$30,000,000 | Revenue (USD)=$373,554,033 | Lead Actor Nationality=American | Lead Actor Birth Date=July 9, 1956 || Rank=2 | Film Title=Die Hard: With a Vengeance | Lead Actor=Bruce Willis | Runtime (min)=128 | Budget (USD)=$90,000,00... | {
"unique_columns": [
"rank",
"filmtitle"
],
"required": [
"rank",
"filmtitle",
"leadactor",
"runtime(min)",
"budget(usd)",
"revenue(usd)",
"leadactornationality",
"leadactorbirthdate"
],
"eval_pipeline": {
"rank": {
"preprocess": [
"norm_str"
],... | en |
ms_en_9fb3a3 | Please find the top 5 highest-grossing films released in 1997 from the movie database, and for each film's lead actor (first billed), look up their background from an encyclopedia.
Please organize the results in one Markdown table with the following columns:
Rank, Film Title, Lead Actor, Budget (USD), Revenue (USD), R... | Rank=1 | Film Title=Titanic | Lead Actor=Kate Winslet | Budget (USD)=$200,000,000 | Revenue (USD)=$1,845,034,188 | Runtime (min)=194 | Lead Actor Birth Date=5 October 1975 | Lead Actor Nationality=English || Rank=2 | Film Title=Men in Black | Lead Actor=Tommy Lee Jones | Budget (USD)=$90,000,000 | Revenue (USD)=$589,39... | {
"unique_columns": [
"rank",
"filmtitle"
],
"required": [
"rank",
"filmtitle",
"leadactor",
"budget(usd)",
"revenue(usd)",
"runtime(min)",
"leadactorbirthdate",
"leadactornationality"
],
"eval_pipeline": {
"rank": {
"preprocess": [
"norm_str"
],... | en |
ms_en_b77f83 | I'm interested in the highest-earning films of 2001. Get the top 5 from the movie database and augment each row with the lead actor's personal info from an encyclopedia source.
Format as Markdown table with columns:
Rank, Film Title, Lead Actor, Revenue (USD), Budget (USD), Runtime (min), Lead Actor Birth Date, Lead A... | Rank=1 | Film Title=Harry Potter and the Philosopher's Stone | Lead Actor=Daniel Radcliffe | Revenue (USD)=$976,475,550 | Budget (USD)=$125,000,000 | Runtime (min)=152 | Lead Actor Birth Date=23 July 1989 | Lead Actor Nationality=English || Rank=2 | Film Title=The Lord of the Rings: The Fellowship of the Ring | Lead Ac... | {
"unique_columns": [
"rank",
"filmtitle"
],
"required": [
"rank",
"filmtitle",
"leadactor",
"revenue(usd)",
"budget(usd)",
"runtime(min)",
"leadactorbirthdate",
"leadactornationality"
],
"eval_pipeline": {
"rank": {
"preprocess": [
"norm_str"
],... | en |
ms_en_701964 | What were the 5 biggest box-office hits of 1997? Fetch film data from the movie DB and lead actor biographical info from an encyclopedia.
Columns:
Rank, Film Title, Lead Actor, Runtime (min), Genre, Budget (USD), Lead Actor Nationality
Output only:
```markdown
{data_content}
```. | Rank=1 | Film Title=Titanic | Lead Actor=Kate Winslet | Runtime (min)=194 | Genre=Drama, Romance, Thriller | Budget (USD)=$200,000,000 | Lead Actor Nationality=English || Rank=2 | Film Title=Men in Black | Lead Actor=Tommy Lee Jones | Runtime (min)=98 | Genre=Action, Adventure, Comedy, Science Fiction | Budget (USD)=$9... | {
"unique_columns": [
"rank",
"filmtitle"
],
"required": [
"rank",
"filmtitle",
"leadactor",
"runtime(min)",
"genre",
"budget(usd)",
"leadactornationality"
],
"eval_pipeline": {
"rank": {
"preprocess": [
"norm_str"
],
"metric": [
"exact... | en |
ms_en_87059c | Build a top-5 revenue chart for movies released in 2002. Include lead actor details from Wikipedia alongside film metrics from the database.
Table columns:
Rank, Film Title, Lead Actor, Runtime (min), Budget (USD), Revenue (USD), Genre, Lead Actor Nationality
Just the table:
```markdown
{data_content}
```. | Rank=1 | Film Title=The Lord of the Rings: The Two Towers | Lead Actor=Elijah Wood | Runtime (min)=179 | Budget (USD)=$79,000,000 | Revenue (USD)=$926,287,400 | Genre=Adventure, Fantasy, Action | Lead Actor Nationality=American || Rank=2 | Film Title=Harry Potter and the Chamber of Secrets | Lead Actor=Daniel Radcliffe... | {
"unique_columns": [
"rank",
"filmtitle"
],
"required": [
"rank",
"filmtitle",
"leadactor",
"runtime(min)",
"budget(usd)",
"revenue(usd)",
"genre",
"leadactornationality"
],
"eval_pipeline": {
"rank": {
"preprocess": [
"norm_str"
],
"metri... | en |
ms_en_10372e | I'd like to see a collaboration overview for Dougray Scott — their films paired with each director's background details.
Merge movie DB data with encyclopedia data into one table:
Film Title, Director, Budget (USD), Genre, Director Birth Date, Director Nationality
```markdown
{data_content}
```. | Film Title=Taken 3 | Director=Olivier Megaton | Budget (USD)=$48,000,000 | Genre=Thriller, Action | Director Birth Date=6 August 1965 | Director Nationality=French || Film Title=Ever After: A Cinderella Story | Director=Andy Tennant | Budget (USD)=$26,000,000 | Genre=Drama, Romance, Comedy | Director Birth Date=June 15... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"director",
"budget(usd)",
"genre",
"directorbirthdate",
"directornationality"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"exact_match"
]
... | en |
ms_en_c1a943 | Show me which directors Jeffrey Wright has worked with, along with box-office data for each collaboration. Cross-reference with encyclopedia entries for director backgrounds.
Table columns:
Film Title, Director, Runtime (min), Director Birth Date
Output:
```markdown
{data_content}
```. | Film Title=The Good Dinosaur | Director=Peter Sohn | Runtime (min)=93 | Director Birth Date=October 18, 1977 || Film Title=Syriana | Director=Stephen Gaghan | Runtime (min)=128 | Director Birth Date=May 6, 1965 || Film Title=Lady in the Water | Director=M. Night Shyamalan | Runtime (min)=110 | Director Birth Date=Augus... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"director",
"runtime(min)",
"directorbirthdate"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"exact_match"
]
},
"director": {
"preproc... | en |
ms_en_e37e93 | Show me which directors Kathryn Hahn has worked with, along with box-office data for each collaboration. Cross-reference with encyclopedia entries for director backgrounds.
Table columns:
Film Title, Director, Revenue (USD), Director Birth Date
Output:
```markdown
{data_content}
```. | Film Title=Bad Moms | Director=Jon Lucas | Revenue (USD)=$183,936,074 | Director Birth Date=October 29, 1975 || Film Title=How to Lose a Guy in 10 Days | Director=Donald Petrie | Revenue (USD)=$177,371,441 | Director Birth Date=April 2, 1954 || Film Title=The Visit | Director=M. Night Shyamalan | Revenue (USD)=$98,450,... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"director",
"revenue(usd)",
"directorbirthdate"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"exact_match"
]
},
"director": {
"preproc... | en |
ms_en_cbc3c3 | Show me which directors Anna Faris has worked with, along with box-office data for each collaboration. Cross-reference with encyclopedia entries for director backgrounds.
Table columns:
Film Title, Director, Genre, Runtime (min), Release Year, Director Birth Date, Director Nationality
Output:
```markdown
{data_conten... | Film Title=Cloudy with a Chance of Meatballs 2 | Director=Cody Cameron | Genre=Animation, Family, Comedy | Runtime (min)=95 | Release Year=2013 | Director Birth Date=October 12, 1970 | Director Nationality=American || Film Title=Yogi Bear | Director=Eric Brevig | Genre=Comedy, Family, Animation, Adventure | Runtime (mi... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"director",
"genre",
"runtime(min)",
"releaseyear",
"directorbirthdate",
"directornationality"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"e... | en |
ms_en_00c57f | Show me which directors Tom Wilkinson has worked with, along with box-office data for each collaboration. Cross-reference with encyclopedia entries for director backgrounds.
Table columns:
Film Title, Director, Runtime (min), Director Birth Date, Director Nationality
Output:
```markdown
{data_content}
```. | Film Title=The Full Monty | Director=Peter Cattaneo | Runtime (min)=91 | Director Birth Date=1 July 1964 | Director Nationality=British || Film Title=The Exorcism of Emily Rose | Director=Scott Derrickson | Runtime (min)=122 | Director Birth Date=July 16, 1966 | Director Nationality=American || Film Title=Sense and Sen... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"director",
"runtime(min)",
"directorbirthdate",
"directornationality"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
"exact_match"
]
},
"... | en |
ms_en_9cbce4 | List Brendan Gleeson's top films with their respective directors. Pull film data from the movie database and director info from Wikipedia.
Use these columns:
Film Title, Director, Revenue (USD), Release Year, Budget (USD), Director Birth Date, Director Nationality
Return only the table:
```markdown
{data_content}
```... | Film Title=Edge of Tomorrow | Director=Doug Liman | Revenue (USD)=$370,541,256 | Release Year=2014 | Budget (USD)=$178,000,000 | Director Birth Date=July 24, 1965 | Director Nationality=American || Film Title=The Smurfs 2 | Director=Raja Gosnell | Revenue (USD)=$347,434,178 | Release Year=2013 | Budget (USD)=$105,000,0... | {
"unique_columns": [
"filmtitle"
],
"required": [
"filmtitle",
"director",
"revenue(usd)",
"releaseyear",
"budget(usd)",
"directorbirthdate",
"directornationality"
],
"eval_pipeline": {
"filmtitle": {
"preprocess": [
"norm_str"
],
"metric": [
... | en |
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