Upload folder using huggingface_hub

.gitattributes

@@ -57,3 +57,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+WiLI-2018-fixed-dataset/test.csv filter=lfs diff=lfs merge=lfs -text
+WiLI-2018-fixed-dataset/train.csv filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,687 @@
----
-license: odc-by
----
+---
+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:
+  config_name: WiLI-2018 dataset
+  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
+  splits:
+  - name: train
+    num_bytes: 64724432
+    num_examples: 117374
+  - name: test
+    num_bytes: 65785127
+    num_examples: 117333
+  download_size: 130509559
+  dataset_size: 130521583
+configs:
+- config_name: WiLI-2018-dataset
+  data_files:
+  - split: train
+    path: WiLI-2018-fixed-dataset/train-*
+  - split: test
+    path: WiLI-2018-fixed-dataset/test-*
+  default: true
+---
+
+# Dataset Card for wili_2018_fixed
+
+## 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
+
+This dataset includes many fixes to the WiLI-2018 dataset:
+- fix mislabels
+- sentences in multiple languages, with more than 1 prominent langaue, were removed
+- duplicate lines were removed
+
+test.csv: 168 lines removed, 1283 labels updated 
+train.csv: 127 lines removed, 1157 labels updated
+
+Examples of labels updated:
+"Fischer, Wladimir, »The Role of Dositej Obradovic in the Construction of Serbian Identities During the 19th Century,« Spaces of Identity (1.3, 2001), 67–87.",94 (Slovak) -> 41 (English)
+"Jean Royer (réal.) et Jacques Bloch-Morange (itw), « Albert Ducrocq : la cybernétique », 1re partie, La page des sciences, Radiodiffusion-télévision française, 14 décembre 1961, 10 minutes 27 secondes [en linha].",176 (Occitan) -> 82 (French)
+The Wikimedia Foundation is conducting a request for comment on a proposed program that could provide legal assistance to users in specific support roles who are named in a legal complaint as a defendant because of those roles. We wanted to be sure that your community was aware of this discussion and would have a chance to participate in that discussion.,120 (Picard) -> 41 (English)
+
+Examples of sentences with multiple prominent languages removed:
+"6. Hadj Yusuf AbdulRahman (editor), Kitab Rabi'a al-Qulub fi Dhikr Manaqib wa Fada'il Sayyidina as Sheikh Nur Hussein (""""The Springtime of Hearts in Memory of the Virtues and Merits of Our Lord the Sheikh Nur Hussein""""), Cairo , 1927",68
+"Na 2017 ọ na a depụtara na 2000 Outstanding Intellectuals of the 21st Century (10th mbipụta) na, Dictionary of International Biography (39th mbipụta) site na International Biographical Centre, Cambridge.",216
+
+The dataset is no longer balanced.
+
+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
+
+```
+"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.",207
+```
+
+### Data Fields
+
+sentence,label
+
+labels.csv provides a mapping of some of the labels to the ISO 639-1 language code.
+
+### Data Splits
+
+About 173000 lines of text each for train and test data.
+
+## Dataset Creation
+
+### Curation Rationale
+
+- fix mislabels
+- sentences in multiple languages, with more than 1 prominent langaue, were removed
+- duplicate lines were removed
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+Wikipedia dump from 2018
+
+#### Who are the source language producers?
+
+Wikipedia contributors
+
+### 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. Curated by Maxime Sobrier.
+
+### Licensing Information
+
+ODC Open Database License v1.0
+
+### Citation Information
+
+Curated dataset:
+```
+Citation to be added
+```
+
+Original dataset:
+
+```
+@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.
+Derived from [MartinThoma/wili_2018](https://huggingface.co/datasets/MartinThoma/wili_2018) by [Martin Thoma](https://huggingface.co/MartinThoma).

WiLI-2018-fixed-dataset/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:abee3c9dd410f65e8ccf72cf5f7c1d99647beee2879ea267dd787e7bd680c691
+size 65785127

WiLI-2018-fixed-dataset/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8188229e261d65723e652266d620e97b2d13a15313f8616a1c76f6fd04b9b2b8
+size 64724432

labels.csv

@@ -0,0 +1,137 @@
+3,lg
+4,sa
+6,wo
+9,br
+10,ar
+11,hy
+14,kw
+15,yo
+16,dv
+17,as
+18,la
+19,cy
+23,tg
+24,ru
+26,my
+27,ms
+28,av
+30,ur
+31,de
+32,sw
+33,ps
+37,yi
+39,pt
+41,en
+42,th
+43,ht
+46,jv
+47,cv
+50,ka
+52,bs
+54,os
+55,mi
+56,fy
+57,ca
+59,rw
+60,hi
+61,sn
+62,da
+64,mk
+65,ro
+66,bg
+67,hr
+68,so
+70,nv
+73,km
+77,co
+82,fr
+85,gu
+86,fi
+87,ky
+88,vo
+89,ha
+90,af
+91,ug
+92,lo
+93,sv
+94,sl
+95,ko
+97,sr
+101,id
+102,wa
+104,uk
+106,vi
+107,tr
+108,ay
+109,lt
+111,pl
+112,et
+117,gn
+118,kk
+119,bn
+123,am
+125,lb
+126,it
+128,be
+131,ce
+133,gv
+134,io
+135,fo
+136,ba
+137,is
+140,ja
+141,ku
+145,an
+146,or
+147,li
+148,te
+149,ln
+150,rm
+151,sq
+152,xh
+153,mg
+154,fa
+156,ta
+157,az
+159,nb
+160,si
+161,gd
+163,sd
+165,ml
+167,tn
+169,tl
+170,nn
+171,su
+176,oc
+178,uz
+179,zh
+181,se
+182,mt
+185,nl
+188,es
+190,ia
+191,he
+192,hu
+193,qu
+195,mr
+198,el
+200,eu
+201,cs
+202,sk
+205,ne
+206,sc
+209,bo
+210,om
+212,gl
+213,mn
+214,ga
+216,ig
+217,ie
+218,eo
+219,lv
+225,tt
+227,pa
+228,to
+229,kv
+232,tk
+233,kn