|
--- |
|
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: 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. |
