Fix language tag name and language tags

#2
by albertvillanova HF staff - opened
Files changed (1) hide show
  1. README.md +65 -63
README.md CHANGED
@@ -4,59 +4,72 @@ annotations_creators:
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  - expert-generated
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  language_creators:
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  - found
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- languages:
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- - af-ZA
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- - am-ET
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- - ar-SA
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- - az-AZ
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- - bn-BD
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- - cy-GB
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- - da-DK
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- - de-DE
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- - el-GR
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- - en-US
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- - es-ES
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- - fa-IR
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- - fi-FI
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- - fr-FR
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- - he-IL
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- - hi-IN
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- - hu-HU
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- - hy-AM
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- - id-ID
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- - is-IS
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- - it-IT
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- - ja-JP
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- - jv-ID
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- - ka-GE
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- - km-KH
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- - kn-IN
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- - ko-KR
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- - lv-LV
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- - ml-IN
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- - mn-MN
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- - ms-MY
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- - my-MM
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- - nb-NO
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- - nl-NL
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- - pl-PL
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- - pt-PT
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- - ro-RO
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- - ru-RU
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- - sl-SL
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- - sq-AL
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- - sv-SE
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- - sw-KE
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- - ta-IN
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- - te-IN
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- - th-TH
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- - tl-PH
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- - tr-TR
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- - ur-PK
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- - vi-VN
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- - zh-CN
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- - zh-TW
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  multilinguality:
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - af-ZA
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  - am-ET
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  - ar-SA
@@ -108,17 +121,6 @@ multilinguality:
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  - vi-VN
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  - zh-CN
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  - zh-TW
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- pretty_name: MASSIVE
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- size_categories:
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- - 100K<n<1M
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- source_datasets:
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- - original
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- task_categories:
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- - text-classification
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- task_ids:
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- - intent-classification
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- - multi-class-classification
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- - natural-language-understanding
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  ---
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  # MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
 
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  - expert-generated
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  language_creators:
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  - found
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+ language:
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+ - af
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+ - am
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+ - ar
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+ - az
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+ - bn
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+ - cy
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+ - da
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+ - de
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+ - el
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+ - en
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+ - es
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+ - fa
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+ - fi
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+ - fr
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+ - he
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+ - hi
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+ - hu
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+ - hy
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+ - id
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+ - is
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+ - it
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+ - ja
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+ - jv
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+ - ka
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+ - km
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+ - kn
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+ - ko
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+ - lv
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+ - ml
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+ - mn
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+ - ms
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+ - my
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+ - nb
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+ - nl
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+ - pl
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+ - pt
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+ - ro
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+ - ru
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+ - sl
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+ - sq
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+ - sv
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+ - sw
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+ - ta
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+ - te
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+ - th
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+ - tl
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+ - tr
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+ - ur
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+ - vi
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+ - zh
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+ - zh
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  multilinguality:
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+ - multilingual
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+ size_categories:
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+ - 100K<n<1M
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - text-classification
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+ task_ids:
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+ - intent-classification
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+ - multi-class-classification
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+ - natural-language-understanding
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+ pretty_name: MASSIVE
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+ language_bcp47:
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  - af-ZA
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  - am-ET
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  - ar-SA
 
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  - vi-VN
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  - zh-CN
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  - zh-TW
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages