tner/roberta-large-mit-movie-trivia
Token Classification
•
Updated
•
37
•
1
tokens
sequence | tags
sequence |
---|---|
[
"what",
"1995",
"romantic",
"comedy",
"film",
"starred",
"michael",
"douglas",
"as",
"a",
"u",
"s",
"head",
"of",
"state",
"looking",
"for",
"love"
] | [
0,
9,
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15,
0,
0,
1,
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3,
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4,
4,
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4,
4,
4,
4
] |
[
"what",
"1959",
"british",
"film",
"starring",
"peter",
"sellers",
"was",
"based",
"on",
"the",
"book",
"of",
"the",
"same",
"name",
"by",
"leonard",
"wibberley"
] | [
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1,
2,
0,
11,
12,
12,
12,
12,
12,
12,
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12,
12,
12
] |
[
"charlie",
"chaplin",
"directed",
"and",
"starred",
"in",
"this",
"classic",
"finding",
"the",
"little",
"tramp",
"in",
"the",
"yukon",
"and",
"eating",
"a",
"shoe"
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0,
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0,
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5,
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4
] |
[
"what",
"2010",
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"does",
"steve",
"carell",
"and",
"paul",
"rudd",
"star",
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"where",
"carell",
"attends",
"rudd",
"s",
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"party"
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9,
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] |
[
"what",
"is",
"the",
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"about",
"the",
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"the",
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"that",
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] |
[
"what",
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"the",
"2007",
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"by",
"ethan",
"coen",
"and",
"joel",
"coen",
"starring",
"tommy",
"lee",
"jones",
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] |
[
"what",
"is",
"the",
"1976",
"american",
"film",
"directed",
"by",
"martin",
"scorsese",
"that",
"was",
"one",
"of",
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[
"what",
"s",
"the",
"numerical",
"name",
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"that",
"movie",
"where",
"the",
"little",
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"of",
"spartan",
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[
"name",
"the",
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"film",
"about",
"a",
"monster",
"that",
"falls",
"in",
"love",
"with",
"a",
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"girl"
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] |
[
"what",
"is",
"the",
"name",
"of",
"that",
"old",
"movie",
"starring",
"jimmy",
"stewart",
"and",
"he",
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"to",
"the",
"capital",
"he",
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"senator"
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1,
2,
0,
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4,
4,
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4,
4,
4,
4,
4,
4
] |
[
"some",
"soldiers",
"are",
"brainwashed",
"in",
"the",
"gulf",
"war",
"later",
"one",
"of",
"them",
"runs",
"for",
"vice",
"president"
] | [
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4,
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4,
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] |
[
"john",
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"the",
"first",
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"american",
"to",
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"1991",
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[
"what",
"1987",
"italian",
"horror",
"film",
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"place",
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"a",
"theater",
"late",
"at",
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"as",
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"a",
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4
] |
[
"what",
"is",
"the",
"musical",
"with",
"julie",
"andrews",
"features",
"a",
"song",
"with",
"the",
"lyrics",
"the",
"hills",
"are",
"alive"
] | [
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0,
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2,
0,
0,
17,
18,
18,
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18,
18,
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] |
[
"danny",
"kay",
"stars",
"as",
"a",
"hapless",
"carnival",
"performer",
"caught",
"up",
"in",
"a",
"plot",
"to",
"overthrow",
"the",
"king"
] | [
1,
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0,
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3,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
[
"what",
"is",
"the",
"movie",
"by",
"quentin",
"tarentino",
"where",
"the",
"criminals",
"have",
"nicknames",
"like",
"mr",
"pink"
] | [
0,
0,
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13,
14,
0,
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4,
4,
4,
4,
4,
4
] |
[
"i",
"am",
"thinking",
"of",
"the",
"classic",
"film",
"that",
"pairs",
"robert",
"redford",
"and",
"paul",
"newman",
"as",
"professional",
"grifters",
"who",
"run",
"a",
"huge",
"caper",
"on",
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"mob",
"boss"
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] |
[
"what",
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"the",
"1993",
"epic",
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"spielberg",
"and",
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"neeson",
"as",
"a",
"german",
"who",
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[
"what",
"is",
"the",
"james",
"bond",
"movie",
"where",
"he",
"chases",
"a",
"villain",
"who",
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"fort",
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] |
[
"what",
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"the",
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[
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"a",
"bluff",
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"s",
"tower",
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] |
[
"this",
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"thriller",
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"weaver",
"and",
"the",
"tag",
"line",
"in",
"space",
"no",
"one",
"can",
"hear",
"you",
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] | [
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9,
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0,
1,
2,
0,
0,
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0,
23,
24,
24,
24,
24,
24,
24,
24
] |
[
"this",
"movie",
"is",
"about",
"a",
"lovelorn",
"english",
"woman",
"and",
"her",
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"to",
"find",
"true",
"love"
] | [
0,
0,
0,
3,
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4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
[
"this",
"science",
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"movie",
"directed",
"by",
"stanley",
"kubrick",
"features",
"a",
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"black",
"monolith",
"and",
"a",
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"hal"
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21
] |
[
"a",
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"canon",
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"of",
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] |
[
"i",
"am",
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"film",
"that",
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"the",
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"dc",
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[
"i",
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"that",
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"seven",
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"men",
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"doc"
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[
"what",
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] |
[
"in",
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"robert",
"duvall",
"confess",
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"love",
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] | [
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] |
[
"what",
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"spike",
"lee",
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[
"this",
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] |
[
"what",
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"tatum",
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"amanda",
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"on",
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] |
[
"although",
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"the",
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] |
[
"what",
"is",
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"film",
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"starring",
"james",
"franco",
"danny",
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] | [
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[
"who",
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] | [
0,
0,
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] |
[
"what",
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[
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] |
[
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[
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] |
[
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] |
[
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"who",
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] | [
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4,
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] |
[
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"guy",
"who",
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"guy",
"about",
"a",
"stuffed",
"animal",
"that",
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] | [
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] |
[
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"that",
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"a",
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"where",
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] | [
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1,
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3,
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4,
4,
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4,
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] |
[
"what",
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] | [
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10,
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0,
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] |
[
"can",
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"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
] |
MIT Movie NER dataset formatted in a part of TNER project.
Actor
, Plot
, Opinion
, Award
, Year
, Genre
, Origin
, Director
, Soundtrack
, Relationship
, Character_Name
, Quote
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']
}
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
}
name | train | validation | test |
---|---|---|---|
mit_movie_trivia | 6816 | 1000 | 1953 |