|
--- |
|
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. |
