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metadata
dataset_info:
  features:
    - name: wikidata_id
      dtype: string
    - name: eng
      dtype: string
    - name: label
      dtype: string
    - name: language
      dtype: string
    - name: type
      dtype: string
  splits:
    - name: train
      num_bytes: 9154111537
      num_examples: 140140300
  download_size: 1554666017
  dataset_size: 9154111537
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: mit
task_categories:
  - token-classification
tags:
  - wikipedia
pretty_name: ParaNames
size_categories:
  - 1M<n<10M
language:
  - nia
  - avk
  - bjn
  - anp
  - si
  - bcc
  - sma
  - syl
  - nso
  - lez
  - qug
  - ks
  - rmc
  - khw
  - szy
  - kk
  - uz
  - sro
  - tg
  - jbo
  - gld
  - cu
  - nb
  - gom
  - zgh
  - iu
  - th
  - lv
  - eo
  - aln
  - te
  - nrm
  - udm
  - bcl
  - ku
  - rup
  - ga
  - es
  - bm
  - crh
  - na
  - yi
  - mh
  - grc
  - lmo
  - ff
  - fi
  - ty
  - ay
  - pi
  - ii
  - kea
  - zh
  - ce
  - km
  - vep
  - ch
  - br
  - rw
  - prg
  - rue
  - bxr
  - hu
  - kcg
  - be
  - tly
  - sr
  - dag
  - rm
  - ve
  - nah
  - hr
  - dv
  - mrj
  - ko
  - as
  - ext
  - liv
  - ho
  - fa
  - pam
  - en
  - mnw
  - abs
  - mnc
  - fy
  - sq
  - xal
  - ia
  - nv
  - mdf
  - pms
  - av
  - vec
  - koi
  - sco
  - nl
  - pfl
  - loz
  - xmf
  - ng
  - scn
  - war
  - ka
  - da
  - el
  - nn
  - cs
  - li
  - pdc
  - 'no'
  - ki
  - so
  - krl
  - rn
  - nds
  - lbe
  - it
  - gu
  - mai
  - mni
  - sh
  - frr
  - uk
  - qu
  - am
  - io
  - ms
  - sg
  - mos
  - pap
  - ksh
  - gn
  - gor
  - fon
  - mus
  - pnb
  - nan
  - sat
  - kbp
  - niu
  - co
  - fur
  - glk
  - lo
  - om
  - shi
  - haw
  - tw
  - ab
  - ro
  - ota
  - os
  - ur
  - kl
  - cho
  - hi
  - jut
  - ik
  - ky
  - sli
  - sn
  - lij
  - ht
  - pt
  - wal
  - ba
  - gd
  - ban
  - tum
  - fj
  - arz
  - dty
  - ta
  - my
  - srq
  - ts
  - lb
  - sl
  - tok
  - pa
  - dsb
  - aa
  - kg
  - lt
  - shn
  - rmy
  - csb
  - tyv
  - bho
  - sa
  - cdo
  - kn
  - pl
  - tet
  - gag
  - bqi
  - got
  - bg
  - bs
  - kus
  - rif
  - ml
  - mn
  - inh
  - pcm
  - smj
  - sm
  - mt
  - ang
  - lld
  - ti
  - arq
  - cnh
  - srn
  - cr
  - sc
  - mg
  - ak
  - fr
  - tt
  - mhr
  - kbd
  - pag
  - sk
  - gv
  - ee
  - ss
  - eu
  - vi
  - de
  - bn
  - ig
  - mzn
  - sw
  - ny
  - oc
  - kw
  - mk
  - lad
  - la
  - ln
  - st
  - smn
  - bug
  - mo
  - als
  - gl
  - ca
  - lfn
  - su
  - tl
  - kiu
  - ne
  - lus
  - zu
  - lg
  - is
  - hyw
  - brh
  - szl
  - za
  - agq
  - to
  - he
  - vot
  - sdc
  - gsw
  - vmw
  - mwl
  - bgn
  - mi
  - or
  - ckb
  - nqo
  - arn
  - chy
  - dz
  - awa
  - chr
  - stq
  - id
  - kr
  - et
  - ltg
  - dtp
  - hil
  - sei
  - skr
  - sms
  - myv
  - yo
  - ru
  - ceb
  - kaa
  - gan
  - mad
  - sah
  - sd
  - frp
  - ami
  - bar
  - bew
  - ady
  - bbc
  - bo
  - wa
  - pih
  - wuu
  - tr
  - bpy
  - nap
  - kab
  - lrc
  - mr
  - rgn
  - an
  - krc
  - min
  - hak
  - diq
  - new
  - ksw
  - vmf
  - wo
  - yue
  - ja
  - sv
  - zea
  - jv
  - ast
  - ar
  - ug
  - fit
  - ses
  - tn
  - eml
  - mrh
  - dga
  - ilo
  - arc
  - fat
  - az
  - ie
  - nov
  - din
  - kv
  - krj
  - ary
  - hsb
  - cv
  - bi
  - hz
  - hy
  - ase
  - hsn
  - atj
  - vo
  - jam
  - lki
  - cy
  - ha
  - sty
  - hif
  - ps
  - ace
  - tk
  - gaa
  - se
  - alt
  - af
  - tpi
  - xh
  - lzh
  - kri
  - vro
  - fo

Dataset Card for Dataset Name

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Dataset Details

Dataset Description

  • Curated by: [More Information Needed]
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  • Language(s) (NLP): [More Information Needed]
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Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation

@misc{sälevä2024paranames,
      title={ParaNames 1.0: Creating an Entity Name Corpus for 400+ Languages using Wikidata}, 
      author={Jonne Sälevä and Constantine Lignos},
      year={2024},
      eprint={2405.09496},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}