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Datasets:
lincoln
/
newsquadfr

Tasks:
Question Answering
Modalities:
Tabular
Text
Formats:
json
Sub-tasks:
extractive-qa
open-domain-qa
Size:
1K - 10K
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
2
Francois Vieille commited on
Commit
93a5f5a
•
1 Parent(s): 85e4468

add exemple and update files to load

Browse files
Files changed (14) hide show
  1. README.md +20 -1
  2. dataset_dict.json +0 -1
  3. test.json +0 -0
  4. test/dataset.arrow +0 -3
  5. test/dataset_info.json +0 -82
  6. test/state.json +0 -15
  7. train.json +0 -0
  8. train/dataset.arrow +0 -3
  9. train/dataset_info.json +0 -82
  10. train/state.json +0 -15
  11. val/dataset.arrow +0 -3
  12. val/dataset_info.json +0 -82
  13. val/state.json +0 -15
  14. valid.json +0 -0
README.md CHANGED
@@ -59,6 +59,25 @@ paperswithcode_id: null
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  newsquadfr is a small dataset created for Question Answering task. Contexts are paragraphs of articles extracted from nine online french newspaper during year 2020/2021. newsquadfr stands for Newspaper question answering dataset in french. inspired by Piaf and Squad dataset. 2 520 triplets context - question - answer.
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  (train set)
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  | website | Nb |
@@ -128,7 +147,7 @@ Fr-fr
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  |-------|----|
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  | train |1650|
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  | test |415 |
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- | val |455 |
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  ## Dataset Creation
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  newsquadfr is a small dataset created for Question Answering task. Contexts are paragraphs of articles extracted from nine online french newspaper during year 2020/2021. newsquadfr stands for Newspaper question answering dataset in french. inspired by Piaf and Squad dataset. 2 520 triplets context - question - answer.
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+ ```py
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+ from dataset import load_dataset
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+
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+ ds_name = 'lincoln/newsquadfr'
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+
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+ # exemple 1
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+ ds_newsquad = load_dataset(ds_name)
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+
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+ # exemple 2
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+ ds_newsquad = load_dataset(ds_name, split="test+valid")
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+
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+ # exemple 3
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+ data_files = {'train': 'train.json', 'test': 'test.json', 'valid': 'valid.json'}
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+ ds_newsquad = load_dataset(ds_name, data_files=data_files)
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+
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+ # exemple 3
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+ ds_newsquad = load_dataset(ds_name, data_files=data_files, split="train")
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+ ```
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+
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  (train set)
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  | website | Nb |
 
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  |-------|----|
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  | train |1650|
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  | test |415 |
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+ | valid |455 |
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  ## Dataset Creation
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