AmazonScience/MultilingualMultiModalClassification
Additional Information To load the dataset, import datasets ds = datasets.load_dataset("AmazonScience/MultilingualMultiModalClassification", data_dir="wiki-doc-ar-merged") print(ds) DatasetDict({ train: Dataset({ features: ['image', 'filename', 'words', 'ocr_bboxes', 'label'], num_rows: 8129 }) validation: Dataset({ features: ['image', 'filename', 'words', 'ocr_bboxes', 'label'], num_rows: 1742 }) test: Dataset({… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/MultilingualMultiModalClassification.
246k
1---2license: cc-by-4.03dataset_info:4- config_name: multieurlex-doc-bg5 features:6 - name: filename7 dtype: string8 - name: words9 sequence:10 sequence: string11 - name: boxes12 sequence:13 sequence:14 sequence: int6415 splits:16 - name: train17 num_bytes: 40727832218 num_examples: 1597919 - name: validation20 num_bytes: 12102149821 num_examples: 499722 - name: test23 num_bytes: 12619469924 num_examples: 498825 download_size: 9416108826 dataset_size: 65449451927- config_name: multieurlex-doc-cs28 features:29 - name: filename30 dtype: string31 - name: words32 sequence:33 sequence: string34 - name: boxes35 sequence:36 sequence:37 sequence: int6438 splits:39 - name: train40 num_bytes: 46506453941 num_examples: 2305642 - name: validation43 num_bytes: 9820620244 num_examples: 499745 - name: test46 num_bytes: 10190501347 num_examples: 498848 download_size: 10334116049 dataset_size: 66517575450- config_name: multieurlex-doc-da51 features:52 - name: filename53 dtype: string54 - name: words55 sequence:56 sequence: string57 - name: boxes58 sequence:59 sequence:60 sequence: int6461 splits:62 - name: train63 num_bytes: 113743132164 num_examples: 5480665 - name: validation66 num_bytes: 10063059267 num_examples: 499768 - name: test69 num_bytes: 10366075570 num_examples: 498871 download_size: 21177496872 dataset_size: 134172266873- config_name: multieurlex-doc-de74 features:75 - name: filename76 dtype: string77 - name: words78 sequence:79 sequence: string80 - name: boxes81 sequence:82 sequence:83 sequence: int6484 splits:85 - name: train86 num_bytes: 115679009987 num_examples: 5480488 - name: test89 num_bytes: 10873138890 num_examples: 498891 - name: validation92 num_bytes: 10563506793 num_examples: 499794 download_size: 21435845495 dataset_size: 137115655496- config_name: multieurlex-doc-el97 features:98 - name: filename99 dtype: string100 - name: words101 sequence:102 sequence: string103 - name: boxes104 sequence:105 sequence:106 sequence: int64107 splits:108 - name: train109 num_bytes: 1412326683110 num_examples: 54828111 - name: validation112 num_bytes: 127450631113 num_examples: 4997114 - name: test115 num_bytes: 132083962116 num_examples: 4988117 download_size: 249838066118 dataset_size: 1671861276119- config_name: multieurlex-doc-en120 features:121 - name: filename122 dtype: string123 - name: words124 sequence:125 sequence: string126 - name: boxes127 sequence:128 sequence:129 sequence: int64130 splits:131 - name: train132 num_bytes: 1208998381133 num_examples: 54808134 - name: test135 num_bytes: 110325080136 num_examples: 4988137 - name: validation138 num_bytes: 106866095139 num_examples: 4997140 download_size: 223853363141 dataset_size: 1426189556142- config_name: multieurlex-doc-es143 features:144 - name: filename145 dtype: string146 - name: words147 sequence:148 sequence: string149 - name: boxes150 sequence:151 sequence:152 sequence: int64153 splits:154 - name: train155 num_bytes: 1354212928156 num_examples: 52621157 - name: test158 num_bytes: 128661948159 num_examples: 4988160 - name: validation161 num_bytes: 124535827162 num_examples: 4997163 download_size: 254828898164 dataset_size: 1607410703165- config_name: multieurlex-doc-et166 features:167 - name: filename168 dtype: string169 - name: words170 sequence:171 sequence: string172 - name: boxes173 sequence:174 sequence:175 sequence: int64176 splits:177 - name: train178 num_bytes: 385076032179 num_examples: 22986180 - name: validation181 num_bytes: 82795960182 num_examples: 4997183 - name: test184 num_bytes: 85548380185 num_examples: 4988186 download_size: 87523878187 dataset_size: 553420372188- config_name: multieurlex-doc-fi189 features:190 - name: filename191 dtype: string192 - name: words193 sequence:194 sequence: string195 - name: boxes196 sequence:197 sequence:198 sequence: int64199 splits:200 - name: train201 num_bytes: 746551995202 num_examples: 42362203 - name: validation204 num_bytes: 88644474205 num_examples: 4997206 - name: test207 num_bytes: 90495504208 num_examples: 4988209 download_size: 144867468210 dataset_size: 925691973211- config_name: multieurlex-doc-fr212 features:213 - name: filename214 dtype: string215 - name: words216 sequence:217 sequence: string218 - name: boxes219 sequence:220 sequence:221 sequence: int64222 splits:223 - name: train224 num_bytes: 1308833036225 num_examples: 54804226 - name: validation227 num_bytes: 117528920228 num_examples: 4997229 - name: test230 num_bytes: 122076609231 num_examples: 4988232 download_size: 244074331233 dataset_size: 1548438565234- config_name: multieurlex-doc-hr235 features:236 - name: filename237 dtype: string238 - name: words239 sequence:240 sequence: string241 - name: boxes242 sequence:243 sequence:244 sequence: int64245 splits:246 - name: train247 num_bytes: 166426724248 num_examples: 7944249 - name: validation250 num_bytes: 52267708251 num_examples: 2499252 - name: test253 num_bytes: 99712738254 num_examples: 4988255 download_size: 49985102256 dataset_size: 318407170257- config_name: multieurlex-doc-hu258 features:259 - name: filename260 dtype: string261 - name: words262 sequence:263 sequence: string264 - name: boxes265 sequence:266 sequence:267 sequence: int64268 splits:269 - name: train270 num_bytes: 430043841271 num_examples: 22542272 - name: validation273 num_bytes: 94622333274 num_examples: 4997275 - name: test276 num_bytes: 97747785277 num_examples: 4988278 download_size: 97614905279 dataset_size: 622413959280- config_name: multieurlex-doc-it281 features:282 - name: filename283 dtype: string284 - name: words285 sequence:286 sequence: string287 - name: boxes288 sequence:289 sequence:290 sequence: int64291 splits:292 - name: train293 num_bytes: 1249061937294 num_examples: 54805295 - name: validation296 num_bytes: 110908837297 num_examples: 4997298 - name: test299 num_bytes: 114867681300 num_examples: 4987301 download_size: 231926930302 dataset_size: 1474838455303- config_name: multieurlex-doc-nl304 features:305 - name: filename306 dtype: string307 - name: words308 sequence:309 sequence: string310 - name: boxes311 sequence:312 sequence:313 sequence: int64314 splits:315 - name: train316 num_bytes: 1286183580317 num_examples: 54803318 - name: validation319 num_bytes: 112858254320 num_examples: 4997321 - name: test322 num_bytes: 116992911323 num_examples: 4988324 download_size: 237826260325 dataset_size: 1516034745326- config_name: multieurlex-doc-pl327 features:328 - name: filename329 dtype: string330 - name: words331 sequence:332 sequence: string333 - name: boxes334 sequence:335 sequence:336 sequence: int64337 splits:338 - name: train339 num_bytes: 471614388340 num_examples: 23063341 - name: validation342 num_bytes: 101196012343 num_examples: 4997344 - name: test345 num_bytes: 104384366346 num_examples: 4988347 download_size: 104236091348 dataset_size: 677194766349- config_name: multieurlex-doc-pt350 features:351 - name: filename352 dtype: string353 - name: words354 sequence:355 sequence: string356 - name: boxes357 sequence:358 sequence:359 sequence: int64360 splits:361 - name: train362 num_bytes: 1269347766363 num_examples: 52205364 - name: validation365 num_bytes: 117194055366 num_examples: 4997367 - name: test368 num_bytes: 120747746369 num_examples: 4988370 download_size: 238776517371 dataset_size: 1507289567372- config_name: multieurlex-doc-ro373 features:374 - name: filename375 dtype: string376 - name: words377 sequence:378 sequence: string379 - name: boxes380 sequence:381 sequence:382 sequence: int64383 splits:384 - name: train385 num_bytes: 359230898386 num_examples: 15914387 - name: validation388 num_bytes: 107876284389 num_examples: 4997390 - name: test391 num_bytes: 112291364392 num_examples: 4988393 download_size: 89545760394 dataset_size: 579398546395- config_name: multieurlex-doc-sv396 features:397 - name: filename398 dtype: string399 - name: words400 sequence:401 sequence: string402 - name: boxes403 sequence:404 sequence:405 sequence: int64406 splits:407 - name: train408 num_bytes: 867755140409 num_examples: 42356410 - name: validation411 num_bytes: 101193984412 num_examples: 4997413 - name: test414 num_bytes: 103453976415 num_examples: 4988416 download_size: 166948914417 dataset_size: 1072403100418- config_name: wiki-doc-ar-img419 features:420 - name: image421 dtype: image422 - name: label423 dtype:424 class_label:425 names:426 '0': Earthquake427 '1': SolarEclipse428 '2': MusicFestival429 '3': MilitaryConflict430 '4': FilmFestival431 '5': Convention432 '6': FootballMatch433 '7': OlympicEvent434 '8': GrandPrix435 '9': GolfTournament436 '10': WomensTennisAssociationTournament437 '11': TennisTournament438 '12': SoccerTournament439 '13': WrestlingEvent440 '14': HorseRace441 '15': CyclingRace442 '16': MixedMartialArtsEvent443 '17': Election444 '18': SoccerClubSeason445 '19': NationalFootballLeagueSeason446 '20': NCAATeamSeason447 '21': BaseballSeason448 '22': VideoGame449 '23': BiologicalDatabase450 '24': EurovisionSongContestEntry451 '25': Album452 '26': Musical453 '27': ClassicalMusicComposition454 '28': ArtistDiscography455 '29': Single456 '30': Poem457 '31': Magazine458 '32': Newspaper459 '33': AcademicJournal460 '34': Play461 '35': Manga462 '36': ComicStrip463 '37': Anime464 '38': HollywoodCartoon465 '39': MusicGenre466 '40': Grape467 '41': Conifer468 '42': Fern469 '43': Moss470 '44': GreenAlga471 '45': CultivatedVariety472 '46': Cycad473 '47': Arachnid474 '48': Fish475 '49': Insect476 '50': Reptile477 '51': Mollusca478 '52': Bird479 '53': Amphibian480 '54': RaceHorse481 '55': Crustacean482 '56': Fungus483 '57': Lighthouse484 '58': Theatre485 '59': RollerCoaster486 '60': Airport487 '61': RailwayStation488 '62': Road489 '63': RailwayLine490 '64': Bridge491 '65': RoadTunnel492 '66': Dam493 '67': CricketGround494 '68': Stadium495 '69': Racecourse496 '70': GolfCourse497 '71': Prison498 '72': Hospital499 '73': Museum500 '74': Hotel501 '75': Library502 '76': Restaurant503 '77': ShoppingMall504 '78': HistoricBuilding505 '79': Castle506 '80': Volcano507 '81': MountainPass508 '82': Glacier509 '83': Canal510 '84': River511 '85': Lake512 '86': Mountain513 '87': Cave514 '88': MountainRange515 '89': Galaxy516 '90': ArtificialSatellite517 '91': Planet518 '92': Town519 '93': Village520 '94': Diocese521 '95': AutomobileEngine522 '96': SupremeCourtOfTheUnitedStatesCase523 '97': MilitaryPerson524 '98': Religious525 '99': Engineer526 '100': BusinessPerson527 '101': SportsTeamMember528 '102': SoccerManager529 '103': Chef530 '104': Philosopher531 '105': CollegeCoach532 '106': ScreenWriter533 '107': Historian534 '108': Poet535 '109': President536 '110': PrimeMinister537 '111': Congressman538 '112': Senator539 '113': Mayor540 '114': MemberOfParliament541 '115': Governor542 '116': Monarch543 '117': PlayboyPlaymate544 '118': Cardinal545 '119': Saint546 '120': Pope547 '121': ChristianBishop548 '122': BeautyQueen549 '123': RadioHost550 '124': HandballPlayer551 '125': Cricketer552 '126': Jockey553 '127': SumoWrestler554 '128': AmericanFootballPlayer555 '129': LacrossePlayer556 '130': TennisPlayer557 '131': AmateurBoxer558 '132': SoccerPlayer559 '133': Rower560 '134': TableTennisPlayer561 '135': BeachVolleyballPlayer562 '136': SpeedwayRider563 '137': FormulaOneRacer564 '138': NascarDriver565 '139': Swimmer566 '140': IceHockeyPlayer567 '141': FigureSkater568 '142': Skater569 '143': Curler570 '144': Skier571 '145': GolfPlayer572 '146': SquashPlayer573 '147': PokerPlayer574 '148': BadmintonPlayer575 '149': ChessPlayer576 '150': RugbyPlayer577 '151': DartsPlayer578 '152': NetballPlayer579 '153': MartialArtist580 '154': Gymnast581 '155': Canoeist582 '156': GaelicGamesPlayer583 '157': HorseRider584 '158': BaseballPlayer585 '159': Cyclist586 '160': Bodybuilder587 '161': AustralianRulesFootballPlayer588 '162': BasketballPlayer589 '163': Ambassador590 '164': Baronet591 '165': Model592 '166': Architect593 '167': Judge594 '168': Economist595 '169': Journalist596 '170': Painter597 '171': Comedian598 '172': ComicsCreator599 '173': ClassicalMusicArtist600 '174': FashionDesigner601 '175': AdultActor602 '176': VoiceActor603 '177': Photographer604 '178': HorseTrainer605 '179': Entomologist606 '180': Medician607 '181': SoapCharacter608 '182': AnimangaCharacter609 '183': MythologicalFigure610 '184': Noble611 '185': Astronaut612 '186': OfficeHolder613 '187': PublicTransitSystem614 '188': BusCompany615 '189': LawFirm616 '190': Winery617 '191': RecordLabel618 '192': Brewery619 '193': Airline620 '194': Publisher621 '195': Bank622 '196': PoliticalParty623 '197': Legislature624 '198': Band625 '199': BasketballLeague626 '200': SoccerLeague627 '201': IceHockeyLeague628 '202': BaseballLeague629 '203': RugbyLeague630 '204': MilitaryUnit631 '205': University632 '206': School633 '207': CyclingTeam634 '208': CanadianFootballTeam635 '209': BasketballTeam636 '210': AustralianFootballTeam637 '211': HockeyTeam638 '212': HandballTeam639 '213': CricketTeam640 '214': RugbyClub641 '215': TradeUnion642 '216': RadioStation643 '217': BroadcastNetwork644 '218': TelevisionStation645 splits:646 - name: train647 num_bytes: 7919491304.875648 num_examples: 8129649 - name: test650 num_bytes: 1691686089.125651 num_examples: 1743652 - name: validation653 num_bytes: 1701166069.25654 num_examples: 1742655 download_size: 11184835705656 dataset_size: 11312343463.25657- config_name: wiki-doc-ar-merged658 features:659 - name: image660 dtype: image661 - name: filename662 dtype: string663 - name: words664 sequence: string665 - name: ocr_bboxes666 sequence:667 sequence: int64668 - name: label669 dtype:670 class_label:671 names:672 '0': AcademicJournal673 '1': AdultActor674 '2': Album675 '3': AmateurBoxer676 '4': Ambassador677 '5': AmericanFootballPlayer678 '6': Amphibian679 '7': AnimangaCharacter680 '8': Anime681 '9': Arachnid682 '10': Baronet683 '11': BasketballTeam684 '12': BeautyQueen685 '13': BroadcastNetwork686 '14': BusCompany687 '15': BusinessPerson688 '16': CanadianFootballTeam689 '17': Canal690 '18': Cardinal691 '19': Cave692 '20': ChristianBishop693 '21': ClassicalMusicArtist694 '22': ClassicalMusicComposition695 '23': CollegeCoach696 '24': Comedian697 '25': ComicsCreator698 '26': Congressman699 '27': Conifer700 '28': Convention701 '29': Cricketer702 '30': Crustacean703 '31': CultivatedVariety704 '32': Cycad705 '33': Dam706 '34': Economist707 '35': Engineer708 '36': Entomologist709 '37': EurovisionSongContestEntry710 '38': Fern711 '39': FilmFestival712 '40': Fish713 '41': FootballMatch714 '42': Glacier715 '43': GolfTournament716 '44': Governor717 '45': Gymnast718 '46': Historian719 '47': IceHockeyLeague720 '48': Insect721 '49': Journalist722 '50': Judge723 '51': Lighthouse724 '52': Magazine725 '53': Mayor726 '54': Medician727 '55': MemberOfParliament728 '56': MilitaryPerson729 '57': Model730 '58': Mollusca731 '59': Monarch732 '60': Moss733 '61': Mountain734 '62': MountainPass735 '63': MountainRange736 '64': MusicFestival737 '65': Musical738 '66': MythologicalFigure739 '67': Newspaper740 '68': Noble741 '69': OfficeHolder742 '70': Other743 '71': Philosopher744 '72': Photographer745 '73': PlayboyPlaymate746 '74': Poem747 '75': Poet748 '76': Pope749 '77': President750 '78': PrimeMinister751 '79': PublicTransitSystem752 '80': Racecourse753 '81': RadioHost754 '82': RadioStation755 '83': Religious756 '84': Reptile757 '85': Restaurant758 '86': Road759 '87': RoadTunnel760 '88': RollerCoaster761 '89': RugbyClub762 '90': RugbyLeague763 '91': Saint764 '92': School765 '93': ScreenWriter766 '94': Senator767 '95': ShoppingMall768 '96': Skater769 '97': SoccerLeague770 '98': SoccerManager771 '99': SoccerPlayer772 '100': SoccerTournament773 '101': SportsTeamMember774 '102': SumoWrestler775 '103': TelevisionStation776 '104': TennisTournament777 '105': TradeUnion778 '106': University779 '107': Village780 '108': VoiceActor781 '109': Volcano782 '110': WrestlingEvent783 splits:784 - name: train785 num_bytes: 8062791605.746786 num_examples: 8129787 - name: test788 num_bytes: 1722071386.382789 num_examples: 1743790 - name: validation791 num_bytes: 1731948280.766792 num_examples: 1742793 download_size: 11226133595794 dataset_size: 11516811272.894001795- config_name: wiki-doc-de-merged796 features:797 - name: image798 dtype: image799 - name: filename800 dtype: string801 - name: words802 sequence: string803 - name: ocr_bboxes804 sequence:805 sequence: int64806 - name: label807 dtype:808 class_label:809 names:810 '0': AcademicJournal811 '1': AdultActor812 '2': Album813 '3': AmateurBoxer814 '4': Ambassador815 '5': AmericanFootballPlayer816 '6': Amphibian817 '7': AnimangaCharacter818 '8': Anime819 '9': Arachnid820 '10': Baronet821 '11': BasketballTeam822 '12': BeautyQueen823 '13': BroadcastNetwork824 '14': BusCompany825 '15': BusinessPerson826 '16': CanadianFootballTeam827 '17': Canal828 '18': Cardinal829 '19': Cave830 '20': ChristianBishop831 '21': ClassicalMusicArtist832 '22': ClassicalMusicComposition833 '23': CollegeCoach834 '24': Comedian835 '25': ComicsCreator836 '26': Congressman837 '27': Conifer838 '28': Convention839 '29': Cricketer840 '30': Crustacean841 '31': CultivatedVariety842 '32': Cycad843 '33': Dam844 '34': Economist845 '35': Engineer846 '36': Entomologist847 '37': EurovisionSongContestEntry848 '38': Fern849 '39': FilmFestival850 '40': Fish851 '41': FootballMatch852 '42': Glacier853 '43': GolfTournament854 '44': Governor855 '45': Gymnast856 '46': Historian857 '47': IceHockeyLeague858 '48': Insect859 '49': Journalist860 '50': Judge861 '51': Lighthouse862 '52': Magazine863 '53': Mayor864 '54': Medician865 '55': MemberOfParliament866 '56': MilitaryPerson867 '57': Model868 '58': Mollusca869 '59': Monarch870 '60': Moss871 '61': Mountain872 '62': MountainPass873 '63': MountainRange874 '64': MusicFestival875 '65': Musical876 '66': MythologicalFigure877 '67': Newspaper878 '68': Noble879 '69': OfficeHolder880 '70': Other881 '71': Philosopher882 '72': Photographer883 '73': PlayboyPlaymate884 '74': Poem885 '75': Poet886 '76': Pope887 '77': President888 '78': PrimeMinister889 '79': PublicTransitSystem890 '80': Racecourse891 '81': RadioHost892 '82': RadioStation893 '83': Religious894 '84': Reptile895 '85': Restaurant896 '86': Road897 '87': RoadTunnel898 '88': RollerCoaster899 '89': RugbyClub900 '90': RugbyLeague901 '91': Saint902 '92': School903 '93': ScreenWriter904 '94': Senator905 '95': ShoppingMall906 '96': Skater907 '97': SoccerLeague908 '98': SoccerManager909 '99': SoccerPlayer910 '100': SoccerTournament911 '101': SportsTeamMember912 '102': SumoWrestler913 '103': TelevisionStation914 '104': TennisTournament915 '105': TradeUnion916 '106': University917 '107': Village918 '108': VoiceActor919 '109': Volcano920 '110': WrestlingEvent921 splits:922 - name: train923 num_bytes: 59980253508.125924 num_examples: 41047925 - name: validation926 num_bytes: 12842370238.5927 num_examples: 8796928 - name: test929 num_bytes: 12835845039.5930 num_examples: 8796931 download_size: 84274708249932 dataset_size: 85658468786.125933- config_name: wiki-doc-en-merged934 features:935 - name: image936 dtype: image937 - name: filename938 dtype: string939 - name: words940 sequence: string941 - name: ocr_bboxes942 sequence:943 sequence: int64944 - name: label945 dtype:946 class_label:947 names:948 '0': AcademicJournal949 '1': AdultActor950 '2': Album951 '3': AmateurBoxer952 '4': Ambassador953 '5': AmericanFootballPlayer954 '6': Amphibian955 '7': AnimangaCharacter956 '8': Anime957 '9': Arachnid958 '10': Baronet959 '11': BasketballTeam960 '12': BeautyQueen961 '13': BroadcastNetwork962 '14': BusCompany963 '15': BusinessPerson964 '16': CanadianFootballTeam965 '17': Canal966 '18': Cardinal967 '19': Cave968 '20': ChristianBishop969 '21': ClassicalMusicArtist970 '22': ClassicalMusicComposition971 '23': CollegeCoach972 '24': Comedian973 '25': ComicsCreator974 '26': Congressman975 '27': Conifer976 '28': Convention977 '29': Cricketer978 '30': Crustacean979 '31': CultivatedVariety980 '32': Cycad981 '33': Dam982 '34': Economist983 '35': Engineer984 '36': Entomologist985 '37': EurovisionSongContestEntry986 '38': Fern987 '39': FilmFestival988 '40': Fish989 '41': FootballMatch990 '42': Glacier991 '43': GolfTournament992 '44': Governor993 '45': Gymnast994 '46': Historian995 '47': IceHockeyLeague996 '48': Insect997 '49': Journalist998 '50': Judge999 '51': Lighthouse1000 '52': Magazine1001 '53': Mayor1002 '54': Medician1003 '55': MemberOfParliament1004 '56': MilitaryPerson1005 '57': Model1006 '58': Mollusca1007 '59': Monarch1008 '60': Moss1009 '61': Mountain1010 '62': MountainPass1011 '63': MountainRange1012 '64': MusicFestival1013 '65': Musical1014 '66': MythologicalFigure1015 '67': Newspaper1016 '68': Noble1017 '69': OfficeHolder1018 '70': Other1019 '71': Philosopher1020 '72': Photographer1021 '73': PlayboyPlaymate1022 '74': Poem1023 '75': Poet1024 '76': Pope1025 '77': President1026 '78': PrimeMinister1027 '79': PublicTransitSystem1028 '80': Racecourse1029 '81': RadioHost1030 '82': RadioStation1031 '83': Religious1032 '84': Reptile1033 '85': Restaurant1034 '86': Road1035 '87': RoadTunnel1036 '88': RollerCoaster1037 '89': RugbyClub1038 '90': RugbyLeague1039 '91': Saint1040 '92': School1041 '93': ScreenWriter1042 '94': Senator1043 '95': ShoppingMall1044 '96': Skater1045 '97': SoccerLeague1046 '98': SoccerManager1047 '99': SoccerPlayer1048 '100': SoccerTournament1049 '101': SportsTeamMember1050 '102': SumoWrestler1051 '103': TelevisionStation1052 '104': TennisTournament1053 '105': TradeUnion1054 '106': University1055 '107': Village1056 '108': VoiceActor1057 '109': Volcano1058 '110': WrestlingEvent1059 splits:1060 - name: train1061 num_bytes: 201861788293.751062 num_examples: 1525061063 - name: validation1064 num_bytes: 43199951001.01065 num_examples: 326801066 - name: test1067 num_bytes: 43177176523.01068 num_examples: 326801069 download_size: 2825469825861070 dataset_size: 288238915817.751071- config_name: wiki-doc-es-merged1072 features:1073 - name: image1074 dtype: image1075 - name: filename1076 dtype: string1077 - name: words1078 sequence: string1079 - name: ocr_bboxes1080 sequence:1081 sequence: int641082 - name: label1083 dtype:1084 class_label:1085 names:1086 '0': AcademicJournal1087 '1': AdultActor1088 '2': Album1089 '3': AmateurBoxer1090 '4': Ambassador1091 '5': AmericanFootballPlayer1092 '6': Amphibian1093 '7': AnimangaCharacter1094 '8': Anime1095 '9': Arachnid1096 '10': Baronet1097 '11': BasketballTeam1098 '12': BeautyQueen1099 '13': BroadcastNetwork1100 '14': BusCompany1101 '15': BusinessPerson1102 '16': CanadianFootballTeam1103 '17': Canal1104 '18': Cardinal1105 '19': Cave1106 '20': ChristianBishop1107 '21': ClassicalMusicArtist1108 '22': ClassicalMusicComposition1109 '23': CollegeCoach1110 '24': Comedian1111 '25': ComicsCreator1112 '26': Congressman1113 '27': Conifer1114 '28': Convention1115 '29': Cricketer1116 '30': Crustacean1117 '31': CultivatedVariety1118 '32': Cycad1119 '33': Dam1120 '34': Economist1121 '35': Engineer1122 '36': Entomologist1123 '37': EurovisionSongContestEntry1124 '38': Fern1125 '39': FilmFestival1126 '40': Fish1127 '41': FootballMatch1128 '42': Glacier1129 '43': GolfTournament1130 '44': Governor1131 '45': Gymnast1132 '46': Historian1133 '47': IceHockeyLeague1134 '48': Insect1135 '49': Journalist1136 '50': Judge1137 '51': Lighthouse1138 '52': Magazine1139 '53': Mayor1140 '54': Medician1141 '55': MemberOfParliament1142 '56': MilitaryPerson1143 '57': Model1144 '58': Mollusca1145 '59': Monarch1146 '60': Moss1147 '61': Mountain1148 '62': MountainPass1149 '63': MountainRange1150 '64': MusicFestival1151 '65': Musical1152 '66': MythologicalFigure1153 '67': Newspaper1154 '68': Noble1155 '69': OfficeHolder1156 '70': Other1157 '71': Philosopher1158 '72': Photographer1159 '73': PlayboyPlaymate1160 '74': Poem1161 '75': Poet1162 '76': Pope1163 '77': President1164 '78': PrimeMinister1165 '79': PublicTransitSystem1166 '80': Racecourse1167 '81': RadioHost1168 '82': RadioStation1169 '83': Religious1170 '84': Reptile1171 '85': Restaurant1172 '86': Road1173 '87': RoadTunnel1174 '88': RollerCoaster1175 '89': RugbyClub1176 '90': RugbyLeague1177 '91': Saint1178 '92': School1179 '93': ScreenWriter1180 '94': Senator1181 '95': ShoppingMall1182 '96': Skater1183 '97': SoccerLeague1184 '98': SoccerManager1185 '99': SoccerPlayer1186 '100': SoccerTournament1187 '101': SportsTeamMember1188 '102': SumoWrestler1189 '103': TelevisionStation1190 '104': TennisTournament1191 '105': TradeUnion1192 '106': University1193 '107': Village1194 '108': VoiceActor1195 '109': Volcano1196 '110': WrestlingEvent1197 splits:1198 - name: train1199 num_bytes: 58485685843.8751200 num_examples: 42713