---
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

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This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

### Dataset Description

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### Source Data

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#### Data Collection and Processing

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#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

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

## Citation


```bibtex
@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}
}
```