tokens
sequence
tags
sequence
[ "what", "1995", "romantic", "comedy", "film", "starred", "michael", "douglas", "as", "a", "u", "s", "head", "of", "state", "looking", "for", "love" ]
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[ "what", "1959", "british", "film", "starring", "peter", "sellers", "was", "based", "on", "the", "book", "of", "the", "same", "name", "by", "leonard", "wibberley" ]
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[ "charlie", "chaplin", "directed", "and", "starred", "in", "this", "classic", "finding", "the", "little", "tramp", "in", "the", "yukon", "and", "eating", "a", "shoe" ]
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[ "what", "2010", "comedy", "does", "steve", "carell", "and", "paul", "rudd", "star", "in", "where", "carell", "attends", "rudd", "s", "executive", "party" ]
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[ "what", "is", "the", "film", "about", "the", "last", "day", "of", "the", "year", "that", "follows", "the", "life", "of", "different", "people", "on", "that", "day" ]
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[ "what", "is", "the", "1976", "american", "film", "directed", "by", "martin", "scorsese", "that", "was", "one", "of", "robert", "de", "niro", "s", "most", "critically", "acclaimed", "roles" ]
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[ "name", "the", "disney", "animated", "film", "about", "a", "monster", "that", "falls", "in", "love", "with", "a", "beautiful", "girl" ]
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[ 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
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[ "what", "1987", "italian", "horror", "film", "takes", "place", "in", "a", "theater", "late", "at", "night", "as", "actors", "rehearse", "a", "musical" ]
[ 0, 9, 10, 15, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "what", "is", "the", "musical", "with", "julie", "andrews", "features", "a", "song", "with", "the", "lyrics", "the", "hills", "are", "alive" ]
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[ "danny", "kay", "stars", "as", "a", "hapless", "carnival", "performer", "caught", "up", "in", "a", "plot", "to", "overthrow", "the", "king" ]
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[ "what", "is", "the", "james", "bond", "movie", "where", "he", "chases", "a", "villain", "who", "wants", "to", "contaminate", "fort", "knox", "and", "its", "contents" ]
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[ "what", "is", "that", "movie", "from", "the", "70", "s", "that", "they", "show", "around", "halloween", "with", "the", "sexy", "dance", "and", "song" ]
[ 0, 0, 0, 0, 0, 0, 9, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "what", "is", "the", "movie", "about", "dogs", "and", "cats", "that", "venture", "out", "into", "the", "wild", "for", "an", "amazing", "adventure" ]
[ 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "what", "is", "this", "1946", "christmas", "drama", "produced", "by", "frank", "capra" ]
[ 0, 0, 0, 9, 10, 15, 0, 0, 13, 14 ]
[ "which", "1950", "american", "animated", "film", "fantasy", "film", "produced", "by", "walt", "disney", "animation", "studios", "is", "based", "on", "the", "fairy", "tale", "cendrillon", "by", "charles", "perrault" ]
[ 0, 9, 10, 15, 15, 0, 0, 0, 0, 13, 14, 0, 0, 0, 11, 12, 12, 12, 12, 12, 0, 11, 12 ]
[ "what", "was", "the", "huge", "hit", "thriller", "movie", "in", "the", "90", "s", "that", "people", "thought", "teenagers", "shot", "with", "their", "own", "camera" ]
[ 0, 0, 0, 0, 0, 10, 0, 0, 0, 9, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "what", "is", "the", "movie", "that", "a", "girl", "volunteers", "herself", "and", "takes", "her", "sister", "s", "place", "in", "a", "fight", "to", "the", "death" ]
[ 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "this", "stanley", "kubrick", "science", "fiction", "film", "is", "based", "upon", "a", "novel", "by", "arthur", "c", "clarke" ]
[ 0, 13, 14, 10, 15, 0, 0, 11, 12, 12, 12, 12, 12, 12, 12 ]
[ "this", "2012", "movie", "takes", "a", "humorous", "look", "at", "the", "snow", "white", "story", "with", "julia", "roberts", "starring", "as", "the", "evil", "queen" ]
[ 0, 9, 0, 0, 0, 5, 3, 4, 4, 4, 4, 4, 0, 1, 2, 0, 0, 0, 3, 4 ]
[ "a", "1993", "children", "s", "movie", "and", "tearjerker", "about", "three", "animals", "lost", "in", "the", "wilderness", "with", "sally", "field", "as", "a", "cat", "and", "michael", "j", "fox", "as", "a", "dog" ]
[ 0, 9, 10, 15, 15, 0, 10, 0, 3, 4, 4, 4, 4, 4, 4, 1, 2, 3, 4, 4, 4, 1, 2, 2, 3, 4, 4 ]
[ "what", "is", "the", "2009", "movie", "directed", "by", "quentin", "tarantino", "and", "starring", "brad", "pitt", "that", "is", "about", "a", "plot", "to", "take", "down", "nazis" ]
[ 0, 0, 0, 9, 0, 0, 0, 13, 14, 0, 0, 1, 2, 0, 0, 3, 4, 4, 4, 4, 4, 4 ]
[ "what", "is", "the", "name", "of", "the", "film", "where", "a", "mother", "convinces", "her", "son", "to", "take", "her", "along", "on", "a", "road", "trip" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "this", "mid", "80", "s", "movie", "is", "about", "a", "teenager", "that", "travels", "back", "in", "time", "in", "a", "delorean" ]
[ 0, 9, 16, 16, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "which", "is", "the", "movie", "in", "which", "neve", "campbell", "plays", "a", "teen", "who", "is", "being", "terrorized", "by", "a", "killer", "known", "as", "ghostface" ]
[ 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "what", "is", "the", "name", "of", "that", "movie", "starring", "christopher", "reeves", "where", "he", "wore", "a", "cape", "and", "could", "fly" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 3, 4, 4, 4, 4, 4, 4 ]
[ "in", "this", "movie", "two", "men", "who", "work", "for", "the", "cia", "fall", "for", "the", "same", "girl" ]
[ 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "in", "this", "1998", "comedy", "the", "protagonist", "was", "known", "for", "bowling", "smoking", "joints", "and", "drinking", "white", "russians" ]
[ 0, 0, 9, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "i", "m", "thinking", "of", "a", "classic", "comedy", "film", "that", "pokes", "fun", "at", "disaster", "in", "the", "sky", "films" ]
[ 0, 0, 0, 0, 0, 5, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "what", "is", "the", "name", "of", "that", "movie", "that", "was", "set", "in", "the", "dessert", "it", "was", "a", "love", "story" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "what", "the", "comedy", "movie", "about", "a", "toy", "stuffed", "bear", "that", "comes", "to", "life", "to", "be", "a", "child", "s", "friend", "through", "his", "adult", "life" ]
[ 0, 0, 10, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "i", "am", "thinking", "of", "the", "tim", "burton", "animated", "fantasy", "film", "that", "tells", "the", "story", "of", "jack", "skellington", "and", "his", "well", "intentioned", "plan", "to", "take", "over", "christmas", "town" ]
[ 0, 0, 0, 0, 0, 13, 14, 10, 15, 15, 0, 3, 4, 4, 4, 21, 22, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "what", "is", "the", "movie", "starring", "mel", "gibson", "about", "the", "post", "apocalyptic", "australian", "wasteland", "as", "he", "helps", "a", "small", "community", "escape", "bandits" ]
[ 0, 0, 0, 0, 0, 1, 2, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "starring", "arnold", "schwarzenegger", "as", "an", "elite", "special", "forces", "operative", "who", "unbeknownst", "to", "him", "is", "being", "followed", "by", "a", "technologically", "advanced", "e", "t" ]
[ 0, 1, 2, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "this", "2010", "survival", "film", "features", "james", "franco", "in", "a", "practically", "one", "man", "show", "in", "the", "moab", "desert" ]
[ 0, 9, 10, 0, 0, 1, 2, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4 ]
[ "this", "1971", "stanley", "kubrick", "futuristic", "sci", "fi", "feature", "is", "one", "of", "only", "two", "movies", "rated", "x", "on", "its", "original", "release", "that", "was", "nominated", "for", "best", "picture", "at", "the", "academy", "awards" ]
[ 0, 9, 13, 14, 10, 15, 15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 8, 8 ]
[ "this", "1977", "george", "lucas", "space", "film", "was", "nominated", "for", "ten", "oscars", "and", "featured", "a", "memorable", "score", "from", "composer", "john", "williams" ]
[ 0, 9, 13, 14, 10, 0, 0, 0, 0, 5, 7, 0, 0, 0, 0, 17, 0, 0, 17, 18 ]
[ "movie", "about", "a", "puppet", "who", "just", "wants", "to", "be", "a", "real", "boy" ]
[ 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4 ]

Dataset Card for "tner/mit_movie_trivia"

Dataset Summary

MIT Movie NER dataset formatted in a part of TNER project.

  • Entity Types: Actor, Plot, Opinion, Award, Year, Genre, Origin, Director, Soundtrack, Relationship, Character_Name, Quote

Dataset Structure

Data Instances

An example of train looks as follows.

{
    'tags': [0, 13, 14, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4],
    'tokens': ['a', 'steven', 'spielberg', 'film', 'featuring', 'a', 'bluff', 'called', 'devil', 's', 'tower', 'and', 'a', 'spectacular', 'mothership']
}

Label ID

The label2id dictionary can be found at here.

{
    "O": 0,
    "B-Actor": 1,
    "I-Actor": 2,
    "B-Plot": 3,
    "I-Plot": 4,
    "B-Opinion": 5,
    "I-Opinion": 6,
    "B-Award": 7,
    "I-Award": 8,
    "B-Year": 9,
    "B-Genre": 10,
    "B-Origin": 11,
    "I-Origin": 12,
    "B-Director": 13,
    "I-Director": 14,
    "I-Genre": 15,
    "I-Year": 16,
    "B-Soundtrack": 17,
    "I-Soundtrack": 18,
    "B-Relationship": 19,
    "I-Relationship": 20,
    "B-Character_Name": 21,
    "I-Character_Name": 22,
    "B-Quote": 23,
    "I-Quote": 24
}

Data Splits

name train validation test
mit_movie_trivia 6816 1000 1953
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Models trained or fine-tuned on tner/mit_movie_trivia