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README.md
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---
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FacQA: The goal of the FacQA dataset is to find the answer to a question from a provided short passage from a news article.
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Each row in the FacQA dataset consists of a question, a short passage, and a label phrase, which can be found inside the
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corresponding short passage. There are six categories of questions: date, location, name,
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organization, person, and quantitative.
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## Dataset Usage
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## Homepage
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### NusaCatalogue
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
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# facqa
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FacQA: The goal of the FacQA dataset is to find the answer to a question from a provided short passage from a news article.
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Each row in the FacQA dataset consists of a question, a short passage, and a label phrase, which can be found inside the
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corresponding short passage. There are six categories of questions: date, location, name,
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organization, person, and quantitative.
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## Dataset Usage
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## Homepage
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[https://github.com/IndoNLP/indonlu](https://github.com/IndoNLP/indonlu)
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### NusaCatalogue
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
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