|
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--- |
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language: |
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|
- en |
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- multilingual |
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- ar |
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- bg |
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- ca |
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|
- cs |
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|
- da |
|
|
- de |
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|
- el |
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- es |
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|
- fa |
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|
- fr |
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- he |
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- hi |
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- hu |
|
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- id |
|
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- it |
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- ko |
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- mk |
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- my |
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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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- sq |
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- sr |
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- sv |
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- tr |
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- ur |
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size_categories: |
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- 1M<n<10M |
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task_categories: |
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- feature-extraction |
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- sentence-similarity |
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pretty_name: Global Voices |
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tags: |
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- sentence-transformers |
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dataset_info: |
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- config_name: all |
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features: |
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- name: english |
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dtype: string |
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|
- name: non_english |
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|
dtype: string |
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|
splits: |
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- name: train |
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|
num_bytes: 307081941 |
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|
num_examples: 1099099 |
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download_size: 190002622 |
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dataset_size: 307081941 |
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- config_name: en-ar |
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features: |
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- name: english |
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dtype: string |
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|
- name: non_english |
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|
dtype: string |
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|
splits: |
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- name: train |
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|
num_bytes: 16885313 |
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num_examples: 51974 |
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download_size: 9827030 |
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dataset_size: 16885313 |
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- config_name: en-bg |
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features: |
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- name: english |
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|
dtype: string |
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|
- name: non_english |
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|
dtype: string |
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|
splits: |
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|
- name: train |
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|
num_bytes: 1947824 |
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num_examples: 5628 |
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download_size: 1085517 |
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dataset_size: 1947824 |
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- config_name: en-ca |
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features: |
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|
- name: english |
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|
dtype: string |
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|
- name: non_english |
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|
dtype: string |
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|
splits: |
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|
- name: train |
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|
num_bytes: 1742805 |
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|
num_examples: 6876 |
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|
download_size: 1131159 |
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|
dataset_size: 1742805 |
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- config_name: en-cs |
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|
features: |
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|
- name: english |
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|
dtype: string |
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|
- name: non_english |
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|
dtype: string |
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|
splits: |
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|
- name: train |
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|
num_bytes: 4258819 |
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|
num_examples: 16676 |
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|
download_size: 2805864 |
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|
dataset_size: 4258819 |
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- config_name: en-da |
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features: |
|
|
- name: english |
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|
dtype: string |
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|
- name: non_english |
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|
dtype: string |
|
|
splits: |
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|
- name: train |
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|
num_bytes: 1712995 |
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|
num_examples: 6869 |
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|
download_size: 1102575 |
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|
dataset_size: 1712995 |
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- config_name: en-de |
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features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
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|
dtype: string |
|
|
splits: |
|
|
- name: train |
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|
num_bytes: 16687620 |
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|
num_examples: 65777 |
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|
download_size: 10748257 |
|
|
dataset_size: 16687620 |
|
|
- config_name: en-el |
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|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
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|
dtype: string |
|
|
splits: |
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|
- name: train |
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|
num_bytes: 30394478 |
|
|
num_examples: 88377 |
|
|
download_size: 17101550 |
|
|
dataset_size: 30394478 |
|
|
- config_name: en-es |
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|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
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|
dtype: string |
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|
splits: |
|
|
- name: train |
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|
num_bytes: 61310052 |
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num_examples: 248152 |
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|
download_size: 39914934 |
|
|
dataset_size: 61310052 |
|
|
- config_name: en-fa |
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|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
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|
dtype: string |
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|
splits: |
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|
- name: train |
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|
num_bytes: 2613949 |
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num_examples: 9010 |
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|
download_size: 1472690 |
|
|
dataset_size: 2613949 |
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|
- config_name: en-fr |
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|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
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|
num_bytes: 22871440 |
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|
num_examples: 88239 |
|
|
download_size: 14830719 |
|
|
dataset_size: 22871440 |
|
|
- config_name: en-he |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 286683 |
|
|
num_examples: 1027 |
|
|
download_size: 168390 |
|
|
dataset_size: 286683 |
|
|
- config_name: en-hi |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
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|
- name: train |
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|
num_bytes: 868904 |
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|
num_examples: 2292 |
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|
download_size: 424604 |
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|
dataset_size: 868904 |
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|
- config_name: en-hu |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 3408005 |
|
|
num_examples: 13577 |
|
|
download_size: 2233314 |
|
|
dataset_size: 3408005 |
|
|
- config_name: en-id |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 3443192 |
|
|
num_examples: 14294 |
|
|
download_size: 2166182 |
|
|
dataset_size: 3443192 |
|
|
- config_name: en-it |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
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|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 25444708 |
|
|
num_examples: 96874 |
|
|
download_size: 16507266 |
|
|
dataset_size: 25444708 |
|
|
- config_name: en-ko |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 2082055 |
|
|
num_examples: 8152 |
|
|
download_size: 1320450 |
|
|
dataset_size: 2082055 |
|
|
- config_name: en-mk |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 16524128 |
|
|
num_examples: 49497 |
|
|
download_size: 9153031 |
|
|
dataset_size: 16524128 |
|
|
- config_name: en-my |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 1001821 |
|
|
num_examples: 2271 |
|
|
download_size: 435214 |
|
|
dataset_size: 1001821 |
|
|
- config_name: en-nl |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 8916931 |
|
|
num_examples: 37869 |
|
|
download_size: 5753473 |
|
|
dataset_size: 8916931 |
|
|
- config_name: en-pl |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 11246066 |
|
|
num_examples: 45378 |
|
|
download_size: 7531387 |
|
|
dataset_size: 11246066 |
|
|
- config_name: en-pt |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 18681074 |
|
|
num_examples: 70665 |
|
|
download_size: 12214275 |
|
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dataset_size: 18681074 |
|
|
- config_name: en-ro |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 929136 |
|
|
num_examples: 3594 |
|
|
download_size: 597417 |
|
|
dataset_size: 929136 |
|
|
- config_name: en-ru |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 43385316 |
|
|
num_examples: 126775 |
|
|
download_size: 24743893 |
|
|
dataset_size: 43385316 |
|
|
- config_name: en-sq |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
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splits: |
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|
- name: train |
|
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num_bytes: 1444346 |
|
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num_examples: 5745 |
|
|
download_size: 925907 |
|
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dataset_size: 1444346 |
|
|
- config_name: en-sr |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 4979414 |
|
|
num_examples: 19824 |
|
|
download_size: 3346021 |
|
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dataset_size: 4979414 |
|
|
- config_name: en-sv |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 2032573 |
|
|
num_examples: 8382 |
|
|
download_size: 1317708 |
|
|
dataset_size: 2032573 |
|
|
- config_name: en-tr |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 1267474 |
|
|
num_examples: 5481 |
|
|
download_size: 815457 |
|
|
dataset_size: 1267474 |
|
|
- config_name: en-ur |
|
|
features: |
|
|
- name: english |
|
|
dtype: string |
|
|
- name: non_english |
|
|
dtype: string |
|
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splits: |
|
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- name: train |
|
|
num_bytes: 1041389 |
|
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num_examples: 3571 |
|
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download_size: 590291 |
|
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dataset_size: 1041389 |
|
|
configs: |
|
|
- config_name: all |
|
|
data_files: |
|
|
- split: train |
|
|
path: all/train-* |
|
|
- config_name: en-ar |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-ar/train-* |
|
|
- config_name: en-bg |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-bg/train-* |
|
|
- config_name: en-ca |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-ca/train-* |
|
|
- config_name: en-cs |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-cs/train-* |
|
|
- config_name: en-da |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-da/train-* |
|
|
- config_name: en-de |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-de/train-* |
|
|
- config_name: en-el |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-el/train-* |
|
|
- config_name: en-es |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-es/train-* |
|
|
- config_name: en-fa |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-fa/train-* |
|
|
- config_name: en-fr |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-fr/train-* |
|
|
- config_name: en-he |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-he/train-* |
|
|
- config_name: en-hi |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-hi/train-* |
|
|
- config_name: en-hu |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-hu/train-* |
|
|
- config_name: en-id |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-id/train-* |
|
|
- config_name: en-it |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-it/train-* |
|
|
- config_name: en-ko |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-ko/train-* |
|
|
- config_name: en-mk |
|
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data_files: |
|
|
- split: train |
|
|
path: en-mk/train-* |
|
|
- config_name: en-my |
|
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data_files: |
|
|
- split: train |
|
|
path: en-my/train-* |
|
|
- config_name: en-nl |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-nl/train-* |
|
|
- config_name: en-pl |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-pl/train-* |
|
|
- config_name: en-pt |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-pt/train-* |
|
|
- config_name: en-ro |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-ro/train-* |
|
|
- config_name: en-ru |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-ru/train-* |
|
|
- config_name: en-sq |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-sq/train-* |
|
|
- config_name: en-sr |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-sr/train-* |
|
|
- config_name: en-sv |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-sv/train-* |
|
|
- config_name: en-tr |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-tr/train-* |
|
|
- config_name: en-ur |
|
|
data_files: |
|
|
- split: train |
|
|
path: en-ur/train-* |
|
|
--- |
|
|
|
|
|
# Dataset Card for Parallel Sentences - Global Voices |
|
|
|
|
|
This dataset contains parallel sentences (i.e. English sentence + the same sentences in another language) for numerous other languages. Most of the sentences originate from the [OPUS website](https://opus.nlpl.eu/). |
|
|
In particular, this dataset contains the [Global Voices](https://opus.nlpl.eu/GlobalVoices/corpus/version/GlobalVoices) dataset. |
|
|
|
|
|
## Related Datasets |
|
|
|
|
|
The following datasets are also a part of the Parallel Sentences collection: |
|
|
* [parallel-sentences-europarl](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-europarl) |
|
|
* [parallel-sentences-global-voices](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-global-voices) |
|
|
* [parallel-sentences-muse](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-muse) |
|
|
* [parallel-sentences-jw300](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-jw300) |
|
|
* [parallel-sentences-news-commentary](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-news-commentary) |
|
|
* [parallel-sentences-opensubtitles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-opensubtitles) |
|
|
* [parallel-sentences-talks](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-talks) |
|
|
* [parallel-sentences-tatoeba](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-tatoeba) |
|
|
* [parallel-sentences-wikimatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikimatrix) |
|
|
* [parallel-sentences-wikititles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikititles) |
|
|
* [parallel-sentences-ccmatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-ccmatrix) |
|
|
|
|
|
These datasets can be used to train multilingual sentence embedding models. For more information, see [sbert.net - Multilingual Models](https://www.sbert.net/examples/training/multilingual/README.html). |
|
|
|
|
|
## Dataset Subsets |
|
|
|
|
|
### `all` subset |
|
|
|
|
|
* Columns: "english", "non_english" |
|
|
* Column types: `str`, `str` |
|
|
* Examples: |
|
|
```python |
|
|
{ |
|
|
"english": "We're thrilled to be honored as the jury's choice for the Best Journalistic Blog in English.", |
|
|
"non_english": "تغمرنا السعادة بهذا التكريم باختيارنا أفضل مدونة صحفية بالإنجليزية." |
|
|
} |
|
|
``` |
|
|
* Collection strategy: Combining all other subsets from this dataset. |
|
|
* Deduplified: No |
|
|
|
|
|
### `en-...` subsets |
|
|
|
|
|
* Columns: "english", "non_english" |
|
|
* Column types: `str`, `str` |
|
|
* Examples: |
|
|
```python |
|
|
{ |
|
|
"english": "Lisa Stone of Surfette was on the jury that chose our blog for the DW honor.", |
|
|
"non_english": "Lisa Stone, do Surfette, participou do júri que escolher o nosso blog para a honra." |
|
|
} |
|
|
``` |
|
|
* Collection strategy: Processing the raw data from [parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences) and formatting it in Parquet, followed by deduplication. |
|
|
* Deduplified: Yes |
