Datasets:

Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
Catalan
ArXiv:
Libraries:
Datasets
pandas
License:
gonzalez-agirre commited on
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Update README.md

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@@ -10,7 +10,7 @@ licenses:
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  - cc-by-sa-4.0
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  multilinguality:
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  - monolingual
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- pretty_name: catalanQA
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  size_categories:
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  - 1K<n<10K
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  source_datasets:
@@ -112,7 +112,7 @@ For compatibility with similar datasets in other languages, we followed as close
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  #### Annotation process
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  We commissioned the creation of 1 to 5 questions for each context, following an adaptation of the guidelines from SQUAD 1.0 ([Rajpurkar, Pranav et al. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)](http://arxiv.org/abs/1606.05250)).
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  #### Who are the annotators?
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- Annotation was commissioned to a specialized company that hired a team of native language speakers.
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  ### Personal and Sensitive Information
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  No personal or sensitive information is included.
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  ## Considerations for Using the Data
 
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  - cc-by-sa-4.0
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  multilinguality:
12
  - monolingual
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+ pretty_name: catalanqa
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  size_categories:
15
  - 1K<n<10K
16
  source_datasets:
 
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  #### Annotation process
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  We commissioned the creation of 1 to 5 questions for each context, following an adaptation of the guidelines from SQUAD 1.0 ([Rajpurkar, Pranav et al. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)](http://arxiv.org/abs/1606.05250)).
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  #### Who are the annotators?
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+ Annotation was commissioned by a specialized company that hired a team of native language speakers.
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  ### Personal and Sensitive Information
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  No personal or sensitive information is included.
118
  ## Considerations for Using the Data