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Datasets:
Helsinki-NLP
/
un_pc

Tasks:
Translation
Languages:
Arabic
English
Spanish
Multilinguality:
multilingual
Size Categories:
10M<n<100M
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
License:
Dataset card Viewer Files Community
6
albertvillanova HF staff commited on
Commit
5bd1878
•
1 Parent(s): f36a7e7

Add ar-fr data files

Browse files
Files changed (19) hide show
  1. README.md +7 -3
  2. ar-fr/train-00000-of-00018.parquet +3 -0
  3. ar-fr/train-00001-of-00018.parquet +3 -0
  4. ar-fr/train-00002-of-00018.parquet +3 -0
  5. ar-fr/train-00003-of-00018.parquet +3 -0
  6. ar-fr/train-00004-of-00018.parquet +3 -0
  7. ar-fr/train-00005-of-00018.parquet +3 -0
  8. ar-fr/train-00006-of-00018.parquet +3 -0
  9. ar-fr/train-00007-of-00018.parquet +3 -0
  10. ar-fr/train-00008-of-00018.parquet +3 -0
  11. ar-fr/train-00009-of-00018.parquet +3 -0
  12. ar-fr/train-00010-of-00018.parquet +3 -0
  13. ar-fr/train-00011-of-00018.parquet +3 -0
  14. ar-fr/train-00012-of-00018.parquet +3 -0
  15. ar-fr/train-00013-of-00018.parquet +3 -0
  16. ar-fr/train-00014-of-00018.parquet +3 -0
  17. ar-fr/train-00015-of-00018.parquet +3 -0
  18. ar-fr/train-00016-of-00018.parquet +3 -0
  19. ar-fr/train-00017-of-00018.parquet +3 -0
README.md CHANGED
@@ -77,10 +77,10 @@ dataset_info:
77
  - fr
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  splits:
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  - name: train
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- num_bytes: 8897848038
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  num_examples: 20281645
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- download_size: 2188765415
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- dataset_size: 8897848038
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  - config_name: ar-ru
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  features:
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  - name: translation
@@ -258,6 +258,10 @@ configs:
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  data_files:
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  - split: train
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  path: ar-es/train-*
 
 
 
 
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  ---
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  # Dataset Card for United Nations Parallel Corpus
 
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  - fr
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  splits:
79
  - name: train
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+ num_bytes: 8897831806
81
  num_examples: 20281645
82
+ download_size: 3976788621
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+ dataset_size: 8897831806
84
  - config_name: ar-ru
85
  features:
86
  - name: translation
 
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  data_files:
259
  - split: train
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  path: ar-es/train-*
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+ - config_name: ar-fr
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+ data_files:
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+ - split: train
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+ path: ar-fr/train-*
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  ---
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  # Dataset Card for United Nations Parallel Corpus
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