README.md

metadata

annotations_creators:
  - no-annotation
language_creators:
  - found
languages:
  - af
  - am
  - an
  - as
  - av
  - ay
  - bs
  - ce
  - co
  - cv
  - dv
  - eo
  - gl
  - gn
  - gu
  - ha
  - hr
  - ht
  - ia
  - id
  - ie
  - ig
  - io
  - ja
  - jv
  - km
  - ko
  - ku
  - kv
  - ky
  - lb
  - lg
  - li
  - ln
  - lo
  - mg
  - mi
  - ml
  - mn
  - mr
  - ms
  - my
  - ne
  - om
  - or
  - os
  - pa
  - rm
  - rw
  - sc
  - sd
  - si
  - sk
  - sn
  - so
  - sr
  - su
  - sw
  - ta
  - th
  - tl
  - tn
  - to
  - ug
  - vi
  - vo
  - wa
  - wo
  - xh
  - yo
  - zh
  - ar
  - az
  - ba
  - be
  - bg
  - bn
  - bo
  - br
  - ca
  - cs
  - cy
  - da
  - de
  - el
  - en
  - es
  - et
  - eu
  - fa
  - fi
  - fo
  - fr
  - fy
  - ga
  - gd
  - gv
  - he
  - hi
  - hu
  - hy
  - is
  - it
  - ka
  - kk
  - kn
  - kw
  - la
  - lt
  - lv
  - mk
  - mt
  - nb
  - nl
  - nn
  - nv
  - oc
  - pl
  - ps
  - pt
  - qu
  - ro
  - ru
  - sa
  - sh
  - sl
  - sq
  - sv
  - te
  - tg
  - tk
  - tr
  - tt
  - uk
  - ur
  - uz
  - yi
  - ace
  - als
  - ang
  - arz
  - ast
  - azb
  - bar
  - bcl
  - bho
  - bjn
  - bpy
  - bxr
  - cbk
  - cdo
  - ceb
  - chr
  - ckb
  - crh
  - csb
  - diq
  - dsb
  - dty
  - egl
  - ext
  - frp
  - fur
  - gag
  - glk
  - hak
  - hif
  - hsb
  - ilo
  - jam
  - jbo
  - kaa
  - kab
  - kbd
  - koi
  - kok
  - krc
  - ksh
  - lad
  - lez
  - lij
  - lmo
  - lrc
  - ltg
  - lzh
  - mai
  - mdf
  - mhr
  - min
  - mrj
  - mwl
  - myv
  - mzn
  - nan
  - nap
  - nci
  - nds
  - new
  - nrm
  - nso
  - olo
  - pag
  - pam
  - pap
  - pcd
  - pdc
  - pfl
  - pnb
  - rue
  - rup
  - sah
  - scn
  - sco
  - sgs
  - sme
  - srn
  - stq
  - szl
  - tcy
  - tet
  - tyv
  - udm
  - vec
  - vep
  - vls
  - vro
  - war
  - wuu
  - xmf
  - zea
  - other-roa-tara
  - other-zh-yue
  - other-map-bms
  - other-nds-nl
  - other-be-tarask
licenses:
  - odbl-1-0
multilinguality:
  - multilingual
size_categories:
  - 100K<n<1M
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - text-classification-other-language-identification

Dataset Card for wili_2018

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information

Dataset Description

• Homepage: https://zenodo.org/record/841984
• Repository: [Needs More Information]
• Paper: https://arxiv.org/pdf/1801.07779
• Leaderboard: [Needs More Information]
• Point of Contact: Thoma, Martin (Email: info@martin-thoma.de)

Dataset Summary

WiLI-2018, the Wikipedia language identification benchmark dataset, contains 235000 paragraphs of 235 languages. The dataset is balanced and a train-test split is provided.

Supported Tasks and Leaderboards

[Needs More Information]

Languages

235 Different Languages

Dataset Structure

Data Instances

{
    'label': 207,
    'sentence': 'Ti Turkia ket maysa a demokrata, sekular, unitario, batay-linteg a republika nga addaan ti taga-ugma a tinawtawid a kultura. Ti Turkia ket umadadu a naipatipon iti Laud babaen ti panagkameng kadagiti organisasion a kas ti Konsilo iti Europa, NATO, OECD, OSCE ken ti G-20 a dagiti kangrunaan nga ekonomia. Ti Turkia ket nangrugi a nakitulag ti napno a panagkameng iti Kappon ti Europa idi 2005, nga isu ket maysa idin a kumaduaan a kameng iti Europeano a Komunidad ti Ekonomia manipud idi 1963 ken nakadanon ti maysa a tulagan ti kappon ti aduana idi 1995. Ti Turkia ket nagtaraken iti asideg a kultural, politikal, ekonomiko ken industria a panakibiang iti Tengnga a Daya, dagiti Turko nga estado iti Tengnga nga Asia ken dagiti pagilian ti Aprika babaen ti panagkameng kadagiti organisasion a kas ti Turko a Konsilo, Nagsaupan nga Administrasion iti Turko nga Arte ken Kultura, Organisasion iti Islamiko a Panagtitinnulong ken ti Organisasion ti Ekonomiko a Panagtitinnulong.'
}

Data Fields

[Needs More Information]

Data Splits

175000 lines of text each for train and test data.

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

The dataset was initially created by Thomas Martin

Licensing Information

ODC Open Database License v1.0

Citation Information

@dataset{thoma_martin_2018_841984,
  author       = {Thoma, Martin},
  title        = {{WiLI-2018 - Wikipedia Language Identification database}},
  month        = jan,
  year         = 2018,
  publisher    = {Zenodo},
  version      = {1.0.0},
  doi          = {10.5281/zenodo.841984},
  url          = {https://doi.org/10.5281/zenodo.841984}
}