Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Japanese
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
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ソース: [yahoojapan/JGLUE](https://github.com/yahoojapan/JGLUE/tree/main)
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##
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### Data Fields
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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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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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### 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
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