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 | |
| language_bcp47: | |
| - be-tarask | |
| - map-bms | |
| - nds-nl | |
| - roa-tara | |
| - zh-yue | |
| 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 | |
| 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: [email protected]) | |
| ### 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. |