Datasets:
Tasks:
Question Answering
Sub-tasks:
extractive-qa
Languages:
Catalan
Size:
1K<n<10K
ArXiv:
License:
carmentano
commited on
Commit
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Parent(s):
61f2a88
Update README.md
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README.md
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@@ -112,7 +112,7 @@ 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 the online edition of the catalan newspaper
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### Curation Rationale
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@@ -128,7 +128,7 @@ The source data are scraped articles from archives of Catalan newspaper website
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#### Who are the source language producers?
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### Annotations
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### Methodology
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From a the online edition of the catalan newspaper [VilaWeb](https://www.vilaweb.cat), 2095 articles were randomnly selected. These headlines were also used to create a Textual Entailment dataset. For the extractive QA dataset, creation of between 1 and 5 questions for each news context was commissioned, 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, 6282 pairs of a question and an extracted fragment that contains the answer were created.
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### Curation Rationale
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#### Who are the source language producers?
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Professional journalists from the Catalan newspaper [VilaWeb](https://www.vilaweb.cat).
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### Annotations
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