Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Size:
100K - 1M
ArXiv:
Tags:
language-identification
License:
| annotations_creators: | |
| - no-annotation | |
| language_creators: | |
| - found | |
| language: | |
| - ace | |
| - af | |
| - als | |
| - am | |
| - an | |
| - ang | |
| - ar | |
| - arz | |
| - as | |
| - ast | |
| - av | |
| - ay | |
| - az | |
| - azb | |
| - ba | |
| - bar | |
| - bcl | |
| - be | |
| - bg | |
| - bho | |
| - bjn | |
| - bn | |
| - bo | |
| - bpy | |
| - br | |
| - bs | |
| - bxr | |
| - ca | |
| - cbk | |
| - cdo | |
| - ce | |
| - ceb | |
| - chr | |
| - ckb | |
| - co | |
| - crh | |
| - cs | |
| - csb | |
| - cv | |
| - cy | |
| - da | |
| - de | |
| - diq | |
| - dsb | |
| - dty | |
| - dv | |
| - egl | |
| - el | |
| - en | |
| - eo | |
| - es | |
| - et | |
| - eu | |
| - ext | |
| - fa | |
| - fi | |
| - fo | |
| - fr | |
| - frp | |
| - fur | |
| - fy | |
| - ga | |
| - gag | |
| - gd | |
| - gl | |
| - glk | |
| - gn | |
| - gu | |
| - gv | |
| - ha | |
| - hak | |
| - he | |
| - hi | |
| - hif | |
| - hr | |
| - hsb | |
| - ht | |
| - hu | |
| - hy | |
| - ia | |
| - id | |
| - ie | |
| - ig | |
| - ilo | |
| - io | |
| - is | |
| - it | |
| - ja | |
| - jam | |
| - jbo | |
| - jv | |
| - ka | |
| - kaa | |
| - kab | |
| - kbd | |
| - kk | |
| - km | |
| - kn | |
| - ko | |
| - koi | |
| - kok | |
| - krc | |
| - ksh | |
| - ku | |
| - kv | |
| - kw | |
| - ky | |
| - la | |
| - lad | |
| - lb | |
| - lez | |
| - lg | |
| - li | |
| - lij | |
| - lmo | |
| - ln | |
| - lo | |
| - lrc | |
| - lt | |
| - ltg | |
| - lv | |
| - lzh | |
| - mai | |
| - map | |
| - mdf | |
| - mg | |
| - mhr | |
| - mi | |
| - min | |
| - mk | |
| - ml | |
| - mn | |
| - mr | |
| - mrj | |
| - ms | |
| - mt | |
| - mwl | |
| - my | |
| - myv | |
| - mzn | |
| - nan | |
| - nap | |
| - nb | |
| - nci | |
| - nds | |
| - ne | |
| - new | |
| - nl | |
| - nn | |
| - nrm | |
| - nso | |
| - nv | |
| - oc | |
| - olo | |
| - om | |
| - or | |
| - os | |
| - pa | |
| - pag | |
| - pam | |
| - pap | |
| - pcd | |
| - pdc | |
| - pfl | |
| - pl | |
| - pnb | |
| - ps | |
| - pt | |
| - qu | |
| - rm | |
| - ro | |
| - roa | |
| - ru | |
| - rue | |
| - rup | |
| - rw | |
| - sa | |
| - sah | |
| - sc | |
| - scn | |
| - sco | |
| - sd | |
| - sgs | |
| - sh | |
| - si | |
| - sk | |
| - sl | |
| - sme | |
| - sn | |
| - so | |
| - sq | |
| - sr | |
| - srn | |
| - stq | |
| - su | |
| - sv | |
| - sw | |
| - szl | |
| - ta | |
| - tcy | |
| - te | |
| - tet | |
| - tg | |
| - th | |
| - tk | |
| - tl | |
| - tn | |
| - to | |
| - tr | |
| - tt | |
| - tyv | |
| - udm | |
| - ug | |
| - uk | |
| - ur | |
| - uz | |
| - vec | |
| - vep | |
| - vi | |
| - vls | |
| - vo | |
| - vro | |
| - wa | |
| - war | |
| - wo | |
| - wuu | |
| - xh | |
| - xmf | |
| - yi | |
| - yo | |
| - zea | |
| - zh | |
| license: | |
| - odbl | |
| multilinguality: | |
| - multilingual | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: [] | |
| paperswithcode_id: wili-2018 | |
| pretty_name: Wili2018 | |
| language_bcp47: | |
| - be-tarask | |
| - map-bms | |
| - nds-nl | |
| - roa-tara | |
| - zh-yue | |
| tags: | |
| - language-identification | |
| 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 | |
| config_name: WiLI-2018 dataset | |
| splits: | |
| - name: train | |
| num_bytes: 65408201 | |
| num_examples: 117500 | |
| - name: test | |
| num_bytes: 66491260 | |
| num_examples: 117500 | |
| download_size: 130516351 | |
| dataset_size: 131899461 | |
| # Dataset Card for wili_2018 | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## 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} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@Shubhambindal2017](https://github.com/Shubhambindal2017) for adding this dataset. |