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  ソース: [yahoojapan/JGLUE](https://github.com/yahoojapan/JGLUE/tree/main)
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- ## JCommonsenseQA
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- > JCommonsenseQA is a Japanese version of CommonsenseQA (Talmor+, 2019), which is a multiple-choice question answering dataset that requires commonsense reasoning ability.
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- > It is built using crowdsourcing with seeds extracted from the knowledge base ConceptNet.
 
 
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- ### Data Fields
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-
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- - `q_id` (`str`): id
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- - `question` (`str`): question
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- - `choice{0..4}` (`list[str]`): choice
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- - `label` (`int`): correct choice id
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  ### Licensing Information
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  }
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  ```
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  ソース: [yahoojapan/JGLUE](https://github.com/yahoojapan/JGLUE/tree/main)
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+ ## JSQuAD
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+ > JSQuAD is a Japanese version of SQuAD (Rajpurkar+, 2016), one of the datasets of reading comprehension.
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+ > Each instance in the dataset consists of a question regarding a given context (Wikipedia article) and its answer.
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+ > JSQuAD is based on SQuAD 1.1 (there are no unanswerable questions).
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+ > We used the Japanese Wikipedia dump as of 20211101.
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  ### Licensing Information
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  }
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  ```
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+ ## Subsets
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+
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+ ### default
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+ src: [datasets/jsquad-v1.1](https://github.com/yahoojapan/JGLUE/tree/main/datasets/jsquad-v1.1)
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+ - `id` (`str`): id of a question
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+ - `title` (`str`): title of a Wikipedia article
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+ - `context` (`str`): a concatenation of the title and paragraph
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+ - `question`(`str`): question
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+ - `answers`(`dict{answer_start(int), text(str)}`): a set of answers
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+ - start position (character index)
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+ - answer text
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+ - `is_impossible`(`bool`): all the values are false