size_categories:1K<n<10K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: sentence
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': cdo
          '1': glk
          '2': jam
          '3': lug
          '4': san
          '5': rue
          '6': wol
          '7': new
          '8': mwl
          '9': bre
          '10': ara
          '11': hye
          '12': xmf
          '13': ext
          '14': cor
          '15': yor
          '16': div
          '17': asm
          '18': lat
          '19': cym
          '20': hif
          '21': ace
          '22': kbd
          '23': tgk
          '24': rus
          '25': nso
          '26': mya
          '27': msa
          '28': ava
          '29': cbk
          '30': urd
          '31': deu
          '32': swa
          '33': pus
          '34': bxr
          '35': udm
          '36': csb
          '37': yid
          '38': vro
          '39': por
          '40': pdc
          '41': eng
          '42': tha
          '43': hat
          '44': lmo
          '45': pag
          '46': jav
          '47': chv
          '48': nan
          '49': sco
          '50': kat
          '51': bho
          '52': bos
          '53': kok
          '54': oss
          '55': mri
          '56': fry
          '57': cat
          '58': azb
          '59': kin
          '60': hin
          '61': sna
          '62': dan
          '63': egl
          '64': mkd
          '65': ron
          '66': bul
          '67': hrv
          '68': som
          '69': pam
          '70': nav
          '71': ksh
          '72': nci
          '73': khm
          '74': sgs
          '75': srn
          '76': bar
          '77': cos
          '78': ckb
          '79': pfl
          '80': arz
          '81': roa-tara
          '82': fra
          '83': mai
          '84': zh-yue
          '85': guj
          '86': fin
          '87': kir
          '88': vol
          '89': hau
          '90': afr
          '91': uig
          '92': lao
          '93': swe
          '94': slv
          '95': kor
          '96': szl
          '97': srp
          '98': dty
          '99': nrm
          '100': dsb
          '101': ind
          '102': wln
          '103': pnb
          '104': ukr
          '105': bpy
          '106': vie
          '107': tur
          '108': aym
          '109': lit
          '110': zea
          '111': pol
          '112': est
          '113': scn
          '114': vls
          '115': stq
          '116': gag
          '117': grn
          '118': kaz
          '119': ben
          '120': pcd
          '121': bjn
          '122': krc
          '123': amh
          '124': diq
          '125': ltz
          '126': ita
          '127': kab
          '128': bel
          '129': ang
          '130': mhr
          '131': che
          '132': koi
          '133': glv
          '134': ido
          '135': fao
          '136': bak
          '137': isl
          '138': bcl
          '139': tet
          '140': jpn
          '141': kur
          '142': map-bms
          '143': tyv
          '144': olo
          '145': arg
          '146': ori
          '147': lim
          '148': tel
          '149': lin
          '150': roh
          '151': sqi
          '152': xho
          '153': mlg
          '154': fas
          '155': hbs
          '156': tam
          '157': aze
          '158': lad
          '159': nob
          '160': sin
          '161': gla
          '162': nap
          '163': snd
          '164': ast
          '165': mal
          '166': mdf
          '167': tsn
          '168': nds
          '169': tgl
          '170': nno
          '171': sun
          '172': lzh
          '173': jbo
          '174': crh
          '175': pap
          '176': oci
          '177': hak
          '178': uzb
          '179': zho
          '180': hsb
          '181': sme
          '182': mlt
          '183': vep
          '184': lez
          '185': nld
          '186': nds-nl
          '187': mrj
          '188': spa
          '189': ceb
          '190': ina
          '191': heb
          '192': hun
          '193': que
          '194': kaa
          '195': mar
          '196': vec
          '197': frp
          '198': ell
          '199': sah
          '200': eus
          '201': ces
          '202': slk
          '203': chr
          '204': lij
          '205': nep
          '206': srd
          '207': ilo
          '208': be-tarask
          '209': bod
          '210': orm
          '211': war
          '212': glg
          '213': mon
          '214': gle
          '215': min
          '216': ibo
          '217': ile
          '218': epo
          '219': lav
          '220': lrc
          '221': als
          '222': mzn
          '223': rup
          '224': fur
          '225': tat
          '226': myv
          '227': pan
          '228': ton
          '229': kom
          '230': wuu
          '231': tcy
          '232': tuk
          '233': kan
          '234': ltg
  splits:
  - name: train
    num_bytes: 1391662.829787234
    num_examples: 2500
  - name: test
    num_bytes: 1414706.6382978724
    num_examples: 2500
  download_size: 2350258
  dataset_size: 2806369.4680851065
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---
