| {"instance_id": "ms_en_121b88", "query": "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.\n\nPresent the data as a single Markdown table. Columns needed:\nFilm Title, Genre, Runtime (min), Revenue (USD), Budget (USD), Release Year, Director Birth Date, Director Nationality\n\nJust give me the table. Format:\n```markdown\n{data_content}\n```.", "answer": "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)=$40,547,440 | Budget (USD)=$28,000,000 | Release Year=2011 | Director Birth Date=October 31, 1974 | Director Nationality=American || Film Title=Gangster Squad | Genre=Crime, Drama, Action, Thriller | Runtime (min)=113 | Revenue (USD)=$105,200,903 | Budget (USD)=$60,000,000 | Release Year=2013 | Director Birth Date=October 31, 1974 | Director Nationality=American", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "genre", "runtime(min)", "revenue(usd)", "budget(usd)", "releaseyear", "directorbirthdate", "directornationality"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "genre": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "Genres should match the reference. Order does not matter."}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_92e36e", "query": "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.\n\nPresent the data as a single Markdown table. Columns needed:\nFilm Title, Runtime (min), Revenue (USD), Release Year, Budget (USD), Genre, Director Nationality, Director Birth Date\n\nJust give me the table. Format:\n```markdown\n{data_content}\n```.", "answer": "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)=$35,000,000 | Genre=Romance, Comedy | Director Nationality=American | Director Birth Date=November 7, 1978 || Film Title=Annie | Runtime (min)=119 | Revenue (USD)=$133,821,816 | Release Year=2014 | Budget (USD)=$65,000,000 | Genre=Comedy, Drama, Family | Director Nationality=American | Director Birth Date=November 7, 1978", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "runtime(min)", "revenue(usd)", "releaseyear", "budget(usd)", "genre", "directornationality", "directorbirthdate"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "genre": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "Genres should match the reference. Order does not matter."}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_99b417", "query": "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.\n\nPresent the data as a single Markdown table. Columns needed:\nFilm Title, Runtime (min), Release Year, Director Nationality, Director Birth Date\n\nJust give me the table. Format:\n```markdown\n{data_content}\n```.", "answer": "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 Year=1991 | Director Nationality=American | Director Birth Date=July 20, 1946", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "runtime(min)", "releaseyear", "directornationality", "directorbirthdate"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_10629a", "query": "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.\n\nFormat the output as one Markdown table with columns:\nFilm Title, Runtime (min), Genre, Revenue (USD), Release Year, Budget (USD), Director Birth Date, Director Nationality\n\nNo explanations needed — just the table:\n```markdown\n{data_content}\n```.", "answer": "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=Adventure, Action, Science Fiction | Revenue (USD)=$355,692,760 | Release Year=2012 | Budget (USD)=$79,000,000 | Director Birth Date=May 27, 1978 | Director Nationality=Canadian || Film Title=San Andreas | Runtime (min)=114 | Genre=Action, Drama, Thriller | Revenue (USD)=$470,490,832 | Release Year=2015 | Budget (USD)=$110,000,000 | Director Birth Date=May 27, 1978 | Director Nationality=Canadian", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "runtime(min)", "genre", "revenue(usd)", "releaseyear", "budget(usd)", "directorbirthdate", "directornationality"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "genre": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "Genres should match the reference. Order does not matter."}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_29837c", "query": "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.\n\nPlease organize the results in one Markdown table with the following columns:\nFilm Title, Revenue (USD), Budget (USD), Director Birth Date\n\nUse the exact film titles from the database.\nDon't ask me any questions, just output the results. The output format is\n```markdown\n{data_content}\n```.", "answer": "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)=$90,000,000 | Director Birth Date=December 24, 1970", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "revenue(usd)", "budget(usd)", "directorbirthdate"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_9abcc4", "query": "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.\n\nPlease organize the results in one Markdown table with the following columns:\nFilm Title, Genre, Release Year, Runtime (min), Revenue (USD), Director Nationality, Director Birth Date\n\nUse the exact film titles from the database.\nDon't ask me any questions, just output the results. The output format is\n```markdown\n{data_content}\n```.", "answer": "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 | Director Nationality=American | Director Birth Date=September 15, 1945 || Film Title=Dark Blue | Genre=Action, Crime, Drama, Thriller | Release Year=2002 | Runtime (min)=118 | Revenue (USD)=$9,237,470 | Director Nationality=American | Director Birth Date=September 15, 1945 || Film Title=Hollywood Homicide | Genre=Action, Adventure, Comedy, Thriller | Release Year=2003 | Runtime (min)=116 | Revenue (USD)=$51,142,659 | Director Nationality=American | Director Birth Date=September 15, 1945", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "genre", "releaseyear", "runtime(min)", "revenue(usd)", "directornationality", "directorbirthdate"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "genre": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "Genres should match the reference. Order does not matter."}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_3ac15f", "query": "Show me Lambert Wilson's 5 biggest box-office hits. Use the movie database for film data and an encyclopedia for personal info.\n\nOutput a Markdown table with these columns:\nFilm Title, Revenue (USD), Release Year, Genre, Budget (USD), Actor Birth Date, Actor Nationality\n\nOutput format:\n```markdown\n{data_content}\n```.", "answer": "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)=$70,000,000 | Actor Birth Date=3 August 1958 | Actor Nationality=French || Film Title=Of Gods and Men | Revenue (USD)=$41,424,067 | Release Year=2010 | Genre=Drama, History | Budget (USD)=$4,000,000 | Actor Birth Date=3 August 1958 | Actor Nationality=French || Film Title=Barbecue | Revenue (USD)=$14,348,529 | Release Year=2014 | Genre=Comedy | Budget (USD)=$6,000,000 | Actor Birth Date=3 August 1958 | Actor Nationality=French || Film Title=Ernest & Celestine | Revenue (USD)=$8,109,160 | Release Year=2012 | Genre=Animation, Comedy, Drama, Family | Budget (USD)=$12,516,654 | Actor Birth Date=3 August 1958 | Actor Nationality=French", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "revenue(usd)", "releaseyear", "genre", "budget(usd)", "actorbirthdate", "actornationality"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "genre": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "Genres should match the reference. Order does not matter."}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "actorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}, "actornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_438bdf", "query": "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.\n\nMerge everything into a single Markdown table with columns:\nFilm Title, Revenue (USD), Release Year, Budget (USD), Actor Nationality\n\nJust the table please:\n```markdown\n{data_content}\n```.", "answer": "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 | Release Year=2009 | Budget (USD)=$70,000,000 | Actor Nationality=American || Film Title=Forgetting Sarah Marshall | Revenue (USD)=$105,173,115 | Release Year=2008 | Budget (USD)=$30,000,000 | Actor Nationality=American || Film Title=The Boss | Revenue (USD)=$78,636,257 | Release Year=2016 | Budget (USD)=$29,000,000 | Actor Nationality=American || Film Title=Astro Boy | Revenue (USD)=$44,091,067 | Release Year=2009 | Budget (USD)=$65,000,000 | Actor Nationality=American || Film Title=You Again | Revenue (USD)=$32,005,248 | Release Year=2010 | Budget (USD)=$20,000,000 | Actor Nationality=American || Film Title=Pulse | Revenue (USD)=$29,907,685 | Release Year=2006 | Budget (USD)=$38,000,000 | Actor Nationality=American", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "revenue(usd)", "releaseyear", "budget(usd)", "actornationality"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "actornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_a27d03", "query": "Show me Joe Pantoliano's 6 biggest box-office hits. Use the movie database for film data and an encyclopedia for personal info.\n\nOutput a Markdown table with these columns:\nFilm Title, Revenue (USD), Release Year, Genre, Actor Nationality\n\nOutput format:\n```markdown\n{data_content}\n```.", "answer": "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 | Revenue (USD)=$39,723,096 | Release Year=2000 | Genre=Mystery, Thriller | Actor Nationality=American || Film Title=Baby's Day Out | Revenue (USD)=$16,671,505 | Release Year=1994 | Genre=Action, Adventure, Comedy, Family | Actor Nationality=American || Film Title=The Adventures of Pluto Nash | Revenue (USD)=$7,103,973 | Release Year=2002 | Genre=Action, Comedy, Science Fiction | Actor Nationality=American || Film Title=Bound | Revenue (USD)=$7,011,317 | Release Year=1996 | Genre=Crime, Drama, Romance, Thriller | Actor Nationality=American", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "revenue(usd)", "releaseyear", "genre", "actornationality"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "genre": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "Genres should match the reference. Order does not matter."}, "actornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_f595a4", "query": "Pull Alexander Skarsgård's highest-grossing 5 films from the movie DB and enrich the table with biographical facts from an encyclopedia source.\n\nColumns needed:\nFilm Title, Revenue (USD), Runtime (min), Release Year, Actor Nationality\n\nReturn only:\n```markdown\n{data_content}\n```.", "answer": "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)=94 | Release Year=2014 | Actor Nationality=Swedish || Film Title=Straw Dogs | Revenue (USD)=$10,324,441 | Runtime (min)=110 | Release Year=2011 | Actor Nationality=Swedish || Film Title=The East | Revenue (USD)=$2,401,510 | Runtime (min)=116 | Release Year=2013 | Actor Nationality=Swedish", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "revenue(usd)", "runtime(min)", "releaseyear", "actornationality"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "actornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_aa7f25", "query": "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.\n\nPlease organize the results in one Markdown table with the following columns:\nFilm Title, Revenue (USD), Runtime (min), Actor Nationality, Actor Birth Date\n\nDon't ask me any questions, just output the results. The output format is\n```markdown\n{data_content}\n```.", "answer": "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 | Runtime (min)=135 | Actor Nationality=American | Actor Birth Date=January 13, 1976 || Film Title=World Trade Center | Revenue (USD)=$162,945,894 | Runtime (min)=128 | Actor Nationality=American | Actor Birth Date=January 13, 1976 || Film Title=Crash | Revenue (USD)=$98,410,061 | Runtime (min)=112 | Actor Nationality=American | Actor Birth Date=January 13, 1976 || Film Title=Shooter | Revenue (USD)=$95,696,996 | Runtime (min)=124 | Actor Nationality=American | Actor Birth Date=January 13, 1976 || Film Title=Lions for Lambs | Revenue (USD)=$63,215,872 | Runtime (min)=92 | Actor Nationality=American | Actor Birth Date=January 13, 1976", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "revenue(usd)", "runtime(min)", "actornationality", "actorbirthdate"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "actornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}, "actorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_394a75", "query": "Pull Famke Janssen's highest-grossing 6 films from the movie DB and enrich the table with biographical facts from an encyclopedia source.\n\nColumns needed:\nFilm Title, Revenue (USD), Runtime (min), Release Year, Genre, Actor Birth Date, Actor Nationality\n\nReturn only:\n```markdown\n{data_content}\n```.", "answer": "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=Action, Science Fiction, Adventure, Fantasy | Actor Birth Date=5 November 1964 | Actor Nationality=Dutch || Film Title=X2 | Revenue (USD)=$407,711,549 | Runtime (min)=133 | Release Year=2003 | Genre=Adventure, Action, Science Fiction, Thriller | Actor Birth Date=5 November 1964 | Actor Nationality=Dutch || Film Title=Taken 2 | Revenue (USD)=$376,141,306 | Runtime (min)=91 | Release Year=2012 | Genre=Action, Crime, Thriller | Actor Birth Date=5 November 1964 | Actor Nationality=Dutch || Film Title=GoldenEye | Revenue (USD)=$352,194,034 | Runtime (min)=130 | Release Year=1995 | Genre=Adventure, Action, Thriller | Actor Birth Date=5 November 1964 | Actor Nationality=Dutch || Film Title=Taken 3 | Revenue (USD)=$325,771,424 | Runtime (min)=109 | Release Year=2014 | Genre=Thriller, Action | Actor Birth Date=5 November 1964 | Actor Nationality=Dutch", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "revenue(usd)", "runtime(min)", "releaseyear", "genre", "actorbirthdate", "actornationality"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "genre": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "Genres should match the reference. Order does not matter."}, "actorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}, "actornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_18a313", "query": "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.\n\nFormat as a Markdown table:\nRank, Film Title, Director, Revenue (USD), Release Year, Runtime (min), Director Birth Date, Director Nationality\n\nJust give me the table:\n```markdown\n{data_content}\n```.", "answer": "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 | Director Birth Date=March 9, 1971 | Director Nationality=American || Rank=3 | Film Title=Toy Story 3 | Director=Lee Unkrich | Revenue (USD)=$1,066,969,703 | Release Year=2010 | Runtime (min)=103 | Director Birth Date=August 8, 1967 | Director Nationality=American || Rank=4 | Film Title=Despicable Me 2 | Director=Pierre Coffin | Revenue (USD)=$970,761,885 | Release Year=2013 | Runtime (min)=98 | Director Birth Date=16 March 1967 | Director Nationality=French || Rank=5 | Film Title=Finding Nemo | Director=Andrew Stanton | Revenue (USD)=$940,335,536 | Release Year=2003 | Runtime (min)=100 | Director Birth Date=December 3, 1965 | Director Nationality=American", "evaluation": {"unique_columns": ["rank", "filmtitle"], "required": ["rank", "filmtitle", "director", "revenue(usd)", "releaseyear", "runtime(min)", "directorbirthdate", "directornationality"], "eval_pipeline": {"rank": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "director": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_63d43d", "query": "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.\n\nUse these columns:\nRank, Film Title, Director, Runtime (min), Revenue (USD), Release Year, Director Nationality, Director Birth Date\n\nReturn:\n```markdown\n{data_content}\n```.", "answer": "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)=$1,004,558,444 | Release Year=2008 | Director Nationality=British | Director Birth Date=30 July 1970 || Rank=3 | Film Title=Spectre | Director=Sam Mendes | Runtime (min)=148 | Revenue (USD)=$880,674,609 | Release Year=2015 | Director Nationality=British | Director Birth Date=1 August 1965 || Rank=4 | Film Title=Suicide Squad | Director=David Ayer | Runtime (min)=123 | Revenue (USD)=$745,000,000 | Release Year=2016 | Director Nationality=American | Director Birth Date=January 18, 1968 || Rank=5 | Film Title=Fast Five | Director=Justin Lin | Runtime (min)=130 | Revenue (USD)=$626,137,675 | Release Year=2011 | Director Nationality=American | Director Birth Date=October 11, 1971", "evaluation": {"unique_columns": ["rank", "filmtitle"], "required": ["rank", "filmtitle", "director", "runtime(min)", "revenue(usd)", "releaseyear", "directornationality", "directorbirthdate"], "eval_pipeline": {"rank": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "director": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_459dde", "query": "Compile a ranking of the 5 highest-grossing Animation films. Include film stats from the movie database and director info from encyclopedia sources.\n\nTable columns:\nRank, Film Title, Director, Runtime (min), Budget (USD), Director Nationality, Director Birth Date\n\nOutput only the Markdown table:\n```markdown\n{data_content}\n```.", "answer": "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 Date=March 9, 1971 || Rank=3 | Film Title=Toy Story 3 | Director=Lee Unkrich | Runtime (min)=103 | Budget (USD)=$200,000,000 | Director Nationality=American | Director Birth Date=August 8, 1967 || Rank=4 | Film Title=Despicable Me 2 | Director=Pierre Coffin | Runtime (min)=98 | Budget (USD)=$76,000,000 | Director Nationality=French | Director Birth Date=16 March 1967 || Rank=5 | Film Title=Finding Nemo | Director=Andrew Stanton | Runtime (min)=100 | Budget (USD)=$94,000,000 | Director Nationality=American | Director Birth Date=December 3, 1965", "evaluation": {"unique_columns": ["rank", "filmtitle"], "required": ["rank", "filmtitle", "director", "runtime(min)", "budget(usd)", "directornationality", "directorbirthdate"], "eval_pipeline": {"rank": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "director": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_e9b2a6", "query": "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.\n\nFormat as a Markdown table:\nRank, Film Title, Director, Revenue (USD), Budget (USD), Release Year, Runtime (min), Director Birth Date\n\nJust give me the table:\n```markdown\n{data_content}\n```.", "answer": "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 | Runtime (min)=91 | Director Birth Date=March 9, 1971 || Rank=3 | Film Title=Toy Story 3 | Director=Lee Unkrich | Revenue (USD)=$1,066,969,703 | Budget (USD)=$200,000,000 | Release Year=2010 | Runtime (min)=103 | Director Birth Date=August 8, 1967 || Rank=4 | Film Title=Despicable Me 2 | Director=Pierre Coffin | Revenue (USD)=$970,761,885 | Budget (USD)=$76,000,000 | Release Year=2013 | Runtime (min)=98 | Director Birth Date=16 March 1967 || Rank=5 | Film Title=Finding Nemo | Director=Andrew Stanton | Revenue (USD)=$940,335,536 | Budget (USD)=$94,000,000 | Release Year=2003 | Runtime (min)=100 | Director Birth Date=December 3, 1965", "evaluation": {"unique_columns": ["rank", "filmtitle"], "required": ["rank", "filmtitle", "director", "revenue(usd)", "budget(usd)", "releaseyear", "runtime(min)", "directorbirthdate"], "eval_pipeline": {"rank": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "director": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_e3c375", "query": "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.\n\nPlease organize the results in one Markdown table with the following columns:\nRank, Film Title, Director, Budget (USD), Runtime (min), Revenue (USD), Director Nationality\n\nUse only Arabic numerals for the rank.\nDon't ask me any questions, just output the results. The output format is\n```markdown\n{data_content}\n```.", "answer": "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=American || Rank=3 | Film Title=Toy Story 3 | Director=Lee Unkrich | Budget (USD)=$200,000,000 | Runtime (min)=103 | Revenue (USD)=$1,066,969,703 | Director Nationality=American || Rank=4 | Film Title=Despicable Me 2 | Director=Pierre Coffin | Budget (USD)=$76,000,000 | Runtime (min)=98 | Revenue (USD)=$970,761,885 | Director Nationality=French || Rank=5 | Film Title=Finding Nemo | Director=Andrew Stanton | Budget (USD)=$94,000,000 | Runtime (min)=100 | Revenue (USD)=$940,335,536 | Director Nationality=American", "evaluation": {"unique_columns": ["rank", "filmtitle"], "required": ["rank", "filmtitle", "director", "budget(usd)", "runtime(min)", "revenue(usd)", "directornationality"], "eval_pipeline": {"rank": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "director": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_5064de", "query": "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.\n\nUse these columns:\nRank, Film Title, Director, Budget (USD), Release Year, Runtime (min), Revenue (USD), Director Nationality, Director Birth Date\n\nReturn:\n```markdown\n{data_content}\n```.", "answer": "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)=$185,000,000 | Release Year=2008 | Runtime (min)=152 | Revenue (USD)=$1,004,558,444 | Director Nationality=British | Director Birth Date=30 July 1970 || Rank=3 | Film Title=Spectre | Director=Sam Mendes | Budget (USD)=$245,000,000 | Release Year=2015 | Runtime (min)=148 | Revenue (USD)=$880,674,609 | Director Nationality=British | Director Birth Date=1 August 1965 || Rank=4 | Film Title=Suicide Squad | Director=David Ayer | Budget (USD)=$175,000,000 | Release Year=2016 | Runtime (min)=123 | Revenue (USD)=$745,000,000 | Director Nationality=American | Director Birth Date=January 18, 1968 || Rank=5 | Film Title=Fast Five | Director=Justin Lin | Budget (USD)=$125,000,000 | Release Year=2011 | Runtime (min)=130 | Revenue (USD)=$626,137,675 | Director Nationality=American | Director Birth Date=October 11, 1971", "evaluation": {"unique_columns": ["rank", "filmtitle"], "required": ["rank", "filmtitle", "director", "budget(usd)", "releaseyear", "runtime(min)", "revenue(usd)", "directornationality", "directorbirthdate"], "eval_pipeline": {"rank": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "director": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_0e03dd", "query": "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.\n\nPlease organize the results in one Markdown table with the following columns:\nRank, Film Title, Lead Actor, Revenue (USD), Genre, Runtime (min), Lead Actor Nationality, Lead Actor Birth Date\n\nUse only Arabic numerals for the rank.\nDon't ask me any questions, just output the results. The output format is\n```markdown\n{data_content}\n```.", "answer": "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 Actor=Martin Freeman | Revenue (USD)=$956,019,788 | Genre=Action, Adventure, Fantasy | Runtime (min)=144 | Lead Actor Nationality=English | Lead Actor Birth Date=8 September 1971 || Rank=3 | Film Title=Guardians of the Galaxy | Lead Actor=Chris Pratt | Revenue (USD)=$773,328,629 | Genre=Action, Science Fiction, Adventure | Runtime (min)=121 | Lead Actor Nationality=American | Lead Actor Birth Date=June 21, 1979 || Rank=4 | Film Title=Maleficent | Lead Actor=Angelina Jolie | Revenue (USD)=$758,539,785 | Genre=Fantasy, Adventure, Action, Family, Romance | Runtime (min)=97 | Lead Actor Nationality=American | Lead Actor Birth Date=June 4, 1975 || Rank=5 | Film Title=The Hunger Games: Mockingjay - Part 1 | Lead Actor=Jennifer Lawrence | Revenue (USD)=$752,100,229 | Genre=Science Fiction, Adventure, Thriller | Runtime (min)=123 | Lead Actor Nationality=American | Lead Actor Birth Date=August 15, 1990", "evaluation": {"unique_columns": ["rank", "filmtitle"], "required": ["rank", "filmtitle", "leadactor", "revenue(usd)", "genre", "runtime(min)", "leadactornationality", "leadactorbirthdate"], "eval_pipeline": {"rank": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "leadactor": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "genre": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "Genres should match the reference. Order does not matter."}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "leadactornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}, "leadactorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_f9a447", "query": "Retrieve the five top-grossing movies of 1995. For each film, identify the lead actor and find their nationality and birth date from Wikipedia.\n\nPresent as a table:\nRank, Film Title, Lead Actor, Runtime (min), Budget (USD), Revenue (USD), Lead Actor Nationality, Lead Actor Birth Date\n\n```markdown\n{data_content}\n```.", "answer": "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)=$90,000,000 | Revenue (USD)=$366,101,666 | Lead Actor Nationality=American | Lead Actor Birth Date=March 19, 1955 || Rank=3 | Film Title=Apollo 13 | Lead Actor=Tom Hanks | Runtime (min)=140 | Budget (USD)=$52,000,000 | Revenue (USD)=$355,237,933 | Lead Actor Nationality=American | Lead Actor Birth Date=July 9, 1956 || Rank=4 | Film Title=GoldenEye | Lead Actor=Pierce Brosnan | Runtime (min)=130 | Budget (USD)=$58,000,000 | Revenue (USD)=$352,194,034 | Lead Actor Nationality=Irish | Lead Actor Birth Date=16 May 1953 || Rank=5 | Film Title=Pocahontas | Lead Actor=Irene Bedard | Runtime (min)=81 | Budget (USD)=$55,000,000 | Revenue (USD)=$346,079,773 | Lead Actor Nationality=American | Lead Actor Birth Date=July 22, 1967", "evaluation": {"unique_columns": ["rank", "filmtitle"], "required": ["rank", "filmtitle", "leadactor", "runtime(min)", "budget(usd)", "revenue(usd)", "leadactornationality", "leadactorbirthdate"], "eval_pipeline": {"rank": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "leadactor": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "leadactornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}, "leadactorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_9fb3a3", "query": "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.\n\nPlease organize the results in one Markdown table with the following columns:\nRank, Film Title, Lead Actor, Budget (USD), Revenue (USD), Runtime (min), Lead Actor Birth Date, Lead Actor Nationality\n\nUse only Arabic numerals for the rank.\nDon't ask me any questions, just output the results. The output format is\n```markdown\n{data_content}\n```.", "answer": "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)=$589,390,539 | Runtime (min)=98 | Lead Actor Birth Date=September 15, 1946 | Lead Actor Nationality=American || Rank=3 | Film Title=Tomorrow Never Dies | Lead Actor=Pierce Brosnan | Budget (USD)=$110,000,000 | Revenue (USD)=$333,011,068 | Runtime (min)=119 | Lead Actor Birth Date=16 May 1953 | Lead Actor Nationality=Irish || Rank=4 | Film Title=Air Force One | Lead Actor=Harrison Ford | Budget (USD)=$85,000,000 | Revenue (USD)=$315,156,409 | Runtime (min)=124 | Lead Actor Birth Date=July 13, 1942 | Lead Actor Nationality=American || Rank=5 | Film Title=As Good as It Gets | Lead Actor=Jack Nicholson | Budget (USD)=$50,000,000 | Revenue (USD)=$314,178,011 | Runtime (min)=139 | Lead Actor Birth Date=April 22, 1937 | Lead Actor Nationality=American", "evaluation": {"unique_columns": ["rank", "filmtitle"], "required": ["rank", "filmtitle", "leadactor", "budget(usd)", "revenue(usd)", "runtime(min)", "leadactorbirthdate", "leadactornationality"], "eval_pipeline": {"rank": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "leadactor": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "leadactorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}, "leadactornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_b77f83", "query": "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.\n\nFormat as Markdown table with columns:\nRank, Film Title, Lead Actor, Revenue (USD), Budget (USD), Runtime (min), Lead Actor Birth Date, Lead Actor Nationality\n\nReturn:\n```markdown\n{data_content}\n```.", "answer": "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 Actor=Elijah Wood | Revenue (USD)=$871,368,364 | Budget (USD)=$93,000,000 | Runtime (min)=178 | Lead Actor Birth Date=January 28, 1981 | Lead Actor Nationality=American || Rank=3 | Film Title=Monsters, Inc. | Lead Actor=John Goodman | Revenue (USD)=$562,816,256 | Budget (USD)=$115,000,000 | Runtime (min)=92 | Lead Actor Birth Date=June 20, 1952 | Lead Actor Nationality=American || Rank=4 | Film Title=Shrek | Lead Actor=Mike Myers | Revenue (USD)=$484,409,218 | Budget (USD)=$60,000,000 | Runtime (min)=90 | Lead Actor Birth Date=May 25, 1963 | Lead Actor Nationality=Canadian || Rank=5 | Film Title=Ocean's Eleven | Lead Actor=George Clooney | Revenue (USD)=$450,717,150 | Budget (USD)=$85,000,000 | Runtime (min)=116 | Lead Actor Birth Date=May 6, 1961 | Lead Actor Nationality=American", "evaluation": {"unique_columns": ["rank", "filmtitle"], "required": ["rank", "filmtitle", "leadactor", "revenue(usd)", "budget(usd)", "runtime(min)", "leadactorbirthdate", "leadactornationality"], "eval_pipeline": {"rank": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "leadactor": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "leadactorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}, "leadactornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_701964", "query": "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.\n\nColumns:\nRank, Film Title, Lead Actor, Runtime (min), Genre, Budget (USD), Lead Actor Nationality\n\nOutput only:\n```markdown\n{data_content}\n```.", "answer": "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)=$90,000,000 | Lead Actor Nationality=American || Rank=3 | Film Title=Tomorrow Never Dies | Lead Actor=Pierce Brosnan | Runtime (min)=119 | Genre=Adventure, Action, Thriller | Budget (USD)=$110,000,000 | Lead Actor Nationality=Irish || Rank=4 | Film Title=Air Force One | Lead Actor=Harrison Ford | Runtime (min)=124 | Genre=Action, Thriller | Budget (USD)=$85,000,000 | Lead Actor Nationality=American || Rank=5 | Film Title=As Good as It Gets | Lead Actor=Jack Nicholson | Runtime (min)=139 | Genre=Comedy, Romance | Budget (USD)=$50,000,000 | Lead Actor Nationality=American", "evaluation": {"unique_columns": ["rank", "filmtitle"], "required": ["rank", "filmtitle", "leadactor", "runtime(min)", "genre", "budget(usd)", "leadactornationality"], "eval_pipeline": {"rank": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "leadactor": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "genre": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "Genres should match the reference. Order does not matter."}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "leadactornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_87059c", "query": "Build a top-5 revenue chart for movies released in 2002. Include lead actor details from Wikipedia alongside film metrics from the database.\n\nTable columns:\nRank, Film Title, Lead Actor, Runtime (min), Budget (USD), Revenue (USD), Genre, Lead Actor Nationality\n\nJust the table:\n```markdown\n{data_content}\n```.", "answer": "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 | Runtime (min)=161 | Budget (USD)=$100,000,000 | Revenue (USD)=$876,688,482 | Genre=Adventure, Fantasy, Family | Lead Actor Nationality=English || Rank=3 | Film Title=Spider-Man | Lead Actor=Tobey Maguire | Runtime (min)=121 | Budget (USD)=$139,000,000 | Revenue (USD)=$821,708,551 | Genre=Fantasy, Action | Lead Actor Nationality=American || Rank=4 | Film Title=Star Wars: Episode II - Attack of the Clones | Lead Actor=Ewan McGregor | Runtime (min)=142 | Budget (USD)=$120,000,000 | Revenue (USD)=$649,398,328 | Genre=Adventure, Action, Science Fiction | Lead Actor Nationality=Scottish || Rank=5 | Film Title=Men in Black II | Lead Actor=Tommy Lee Jones | Runtime (min)=88 | Budget (USD)=$140,000,000 | Revenue (USD)=$441,818,803 | Genre=Action, Adventure, Comedy, Science Fiction | Lead Actor Nationality=American", "evaluation": {"unique_columns": ["rank", "filmtitle"], "required": ["rank", "filmtitle", "leadactor", "runtime(min)", "budget(usd)", "revenue(usd)", "genre", "leadactornationality"], "eval_pipeline": {"rank": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "leadactor": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "genre": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "Genres should match the reference. Order does not matter."}, "leadactornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_10372e", "query": "I'd like to see a collaboration overview for Dougray Scott — their films paired with each director's background details.\n\nMerge movie DB data with encyclopedia data into one table:\nFilm Title, Director, Budget (USD), Genre, Director Birth Date, Director Nationality\n\n```markdown\n{data_content}\n```.", "answer": "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, 1955 | Director Nationality=American || Film Title=Dark Water | Director=Walter Salles | Budget (USD)=$30,000,000 | Genre=Drama, Horror, Thriller | Director Birth Date=12 April 1956 | Director Nationality=Brazilian || Film Title=The Vatican Tapes | Director=Mark Neveldine | Budget (USD)=$13,000,000 | Genre=Thriller, Horror | Director Birth Date=May 11, 1973 | Director Nationality=American", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "director", "budget(usd)", "genre", "directorbirthdate", "directornationality"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "director": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "genre": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "Genres should match the reference. Order does not matter."}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_c1a943", "query": "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.\n\nTable columns:\nFilm Title, Director, Runtime (min), Director Birth Date\n\nOutput:\n```markdown\n{data_content}\n```.", "answer": "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=August 6, 1970 || Film Title=The Invasion | Director=Oliver Hirschbiegel | Runtime (min)=99 | Director Birth Date=29 December 1957", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "director", "runtime(min)", "directorbirthdate"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "director": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_e37e93", "query": "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.\n\nTable columns:\nFilm Title, Director, Revenue (USD), Director Birth Date\n\nOutput:\n```markdown\n{data_content}\n```.", "answer": "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)=$98,450,062 | Director Birth Date=August 6, 1970 || Film Title=Revolutionary Road | Director=Sam Mendes | Revenue (USD)=$75,225,693 | Director Birth Date=1 August 1965 || Film Title=How Do You Know | Director=James L. Brooks | Revenue (USD)=$48,668,907 | Director Birth Date=May 9, 1940", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "director", "revenue(usd)", "directorbirthdate"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "director": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}}}, "language": "en"} |
| {"instance_id": "ms_en_cbc3c3", "query": "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.\n\nTable columns:\nFilm Title, Director, Genre, Runtime (min), Release Year, Director Birth Date, Director Nationality\n\nOutput:\n```markdown\n{data_content}\n```.", "answer": "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 (min)=80 | Release Year=2010 | Director Birth Date=1957 | Director Nationality=American || Film Title=Scary Movie 2 | Director=Keenen Ivory Wayans | Genre=Comedy | Runtime (min)=83 | Release Year=2001 | Director Birth Date=June 8, 1958 | Director Nationality=American || Film Title=Lost in Translation | Director=Sofia Coppola | Genre=Drama | Runtime (min)=102 | Release Year=2003 | Director Birth Date=May 14, 1971 | Director Nationality=American", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "director", "genre", "runtime(min)", "releaseyear", "directorbirthdate", "directornationality"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "director": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "genre": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "Genres should match the reference. Order does not matter."}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_00c57f", "query": "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.\n\nTable columns:\nFilm Title, Director, Runtime (min), Director Birth Date, Director Nationality\n\nOutput:\n```markdown\n{data_content}\n```.", "answer": "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 Sensibility | Director=Ang Lee | Runtime (min)=136 | Director Birth Date=October 23, 1954 | Director Nationality=Taiwanese || Film Title=Michael Clayton | Director=Tony Gilroy | Runtime (min)=119 | Director Birth Date=September 11, 1956 | Director Nationality=American || Film Title=Selma | Director=Ava DuVernay | Runtime (min)=127 | Director Birth Date=August 24, 1972 | Director Nationality=American", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "director", "runtime(min)", "directorbirthdate", "directornationality"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "director": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "runtime(min)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| {"instance_id": "ms_en_9cbce4", "query": "List Brendan Gleeson's top films with their respective directors. Pull film data from the movie database and director info from Wikipedia.\n\nUse these columns:\nFilm Title, Director, Revenue (USD), Release Year, Budget (USD), Director Birth Date, Director Nationality\n\nReturn only the table:\n```markdown\n{data_content}\n```.", "answer": "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)=$105,000,000 | Director Birth Date=December 9, 1958 | Director Nationality=American || Film Title=Safe House | Director=Daniel Espinosa | Revenue (USD)=$208,076,205 | Release Year=2012 | Budget (USD)=$85,000,000 | Director Birth Date=23 March 1977 | Director Nationality=Swedish || Film Title=The Pirates! In an Adventure with Scientists! | Director=Peter Lord | Revenue (USD)=$118,338,361 | Release Year=2012 | Budget (USD)=$60,000,000 | Director Birth Date=1953 | Director Nationality=English || Film Title=Green Zone | Director=Paul Greengrass | Revenue (USD)=$94,882,889 | Release Year=2010 | Budget (USD)=$100,000,000 | Director Birth Date=13 August 1955 | Director Nationality=English", "evaluation": {"unique_columns": ["filmtitle"], "required": ["filmtitle", "director", "revenue(usd)", "releaseyear", "budget(usd)", "directorbirthdate", "directornationality"], "eval_pipeline": {"filmtitle": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "director": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "revenue(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "releaseyear": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "budget(usd)": {"preprocess": ["norm_str"], "metric": ["exact_match"]}, "directorbirthdate": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "The year must be correct. Month and day should match if provided in the reference."}, "directornationality": {"preprocess": ["norm_str"], "metric": ["llm_judge"], "criterion": "It is sufficient if the semantics are approximately the same as the reference answer or if they point to the same entity."}}}, "language": "en"} |
| |
