Datasets:
Fix language tag name and language tags
#2
by
albertvillanova
HF Staff
- opened
README.md
CHANGED
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@@ -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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-
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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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- af-ZA
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- am-ET
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- ar-SA
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@@ -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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| 11 |
+
- az
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| 12 |
+
- bn
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| 13 |
+
- cy
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| 14 |
+
- da
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| 15 |
+
- de
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| 16 |
+
- el
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| 17 |
+
- en
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| 18 |
+
- es
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| 19 |
+
- fa
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| 20 |
+
- fi
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| 21 |
+
- fr
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| 22 |
+
- he
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| 23 |
+
- hi
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| 24 |
+
- hu
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| 25 |
+
- hy
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| 26 |
+
- id
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| 27 |
+
- is
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| 28 |
+
- it
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| 29 |
+
- ja
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| 30 |
+
- jv
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| 31 |
+
- ka
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| 32 |
+
- km
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| 33 |
+
- kn
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| 34 |
+
- ko
|
| 35 |
+
- lv
|
| 36 |
+
- ml
|
| 37 |
+
- mn
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| 38 |
+
- ms
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| 39 |
+
- my
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| 40 |
+
- nb
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| 41 |
+
- nl
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| 42 |
+
- pl
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| 43 |
+
- pt
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| 44 |
+
- ro
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| 45 |
+
- ru
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| 46 |
+
- sl
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| 47 |
+
- sq
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| 48 |
+
- sv
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| 49 |
+
- sw
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| 50 |
+
- ta
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| 51 |
+
- te
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| 52 |
+
- th
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| 53 |
+
- tl
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| 54 |
+
- tr
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| 55 |
+
- ur
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| 56 |
+
- vi
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| 57 |
+
- zh
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| 58 |
+
- zh
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| 59 |
multilinguality:
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| 60 |
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- multilingual
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size_categories:
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| 62 |
+
- 100K<n<1M
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+
source_datasets:
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+
- original
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| 65 |
+
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
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