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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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+
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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)