Datasets:

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Sub-tasks:
extractive-qa
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Catalan
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@@ -59,7 +59,7 @@ ViquiQuAD, An extractive QA dataset for catalan, from the Wikipedia.
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  This dataset contains 3111 contexts extracted from a set of 597 high quality original (no translations) articles in the Catalan Wikipedia "Viquipèdia" (ca.wikipedia.org), and 1 to 5 questions with their answer for each fragment.
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- Viquipedia articles are used under [CC-by-sa] (https://creativecommons.org/licenses/by-sa/3.0/legalcode) licence.
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  This dataset can be used to fine-tune and evaluate extractive-QA and Language Models. It is part of the Catalan Language Understanding Benchmark (CLUB).
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@@ -111,7 +111,7 @@ Follows [Rajpurkar, Pranav et al., 2016](http://arxiv.org/abs/1606.05250) for sq
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  ### Methodology
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- From a set of high quality, non-translation, articles in the Catalan Wikipedia (ca.wikipedia.org), 597 were randomly chosen, and from them 3111, 5-8 sentence contexts were extracted. We commissioned creation of between 1 and 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). In total, 15153 pairs of a question and an extracted fragment that contains the answer were created.
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  ### Curation Rationale
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@@ -123,11 +123,11 @@ For compatibility with similar datasets in other languages, we followed as close
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  #### Initial Data Collection and Normalization
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- The source data are scraped articles from the Catalan wikipedia site (https://ca.wikipedia.org).
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  #### Who are the source language producers?
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- Volunteers who collaborate with Catalan [Wikpedia](ca.wikipedia.org).
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  ### Annotations
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  This dataset contains 3111 contexts extracted from a set of 597 high quality original (no translations) articles in the Catalan Wikipedia "Viquipèdia" (ca.wikipedia.org), and 1 to 5 questions with their answer for each fragment.
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+ Viquipedia articles are used under [CC-by-sa](https://creativecommons.org/licenses/by-sa/3.0/legalcode) licence.
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  This dataset can be used to fine-tune and evaluate extractive-QA and Language Models. It is part of the Catalan Language Understanding Benchmark (CLUB).
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  ### Methodology
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+ From a set of high quality, non-translation, articles in the Catalan Wikipedia (ca.wikipedia.org), 597 were randomly chosen, and from them 3111, 5-8 sentence contexts were extracted. We commissioned creation of between 1 and 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). In total, 15153 pairs of a question and an extracted fragment that contains the answer were created.
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  ### Curation Rationale
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  #### Initial Data Collection and Normalization
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+ The source data are scraped articles from the [Catalan wikipedia](https://ca.wikipedia.org) site.
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  #### Who are the source language producers?
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+ Volunteers who collaborate with [Catalan Wikipedia](ca.wikipedia.org).
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  ### Annotations
133