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SkelterLabsInc/JaQuAD

Dataset Card for JaQuAD Dataset Summary Japanese Question Answering Dataset (JaQuAD), released in 2022, is a human-annotated dataset created for Japanese Machine Reading Comprehension. JaQuAD is developed to provide a SQuAD-like QA dataset in Japanese. JaQuAD contains 39,696 question-answer pairs. Questions and answers are manually curated by human annotators. Contexts are collected from Japanese Wikipedia articles. Fine-tuning BERT-Japanese on JaQuAD achieves… See the full description on the dataset page: https://huggingface.co/datasets/SkelterLabsInc/JaQuAD.

Author / organizationSkelterLabsInc
License (as declared)cc-by-sa-3.0
Downloads593 (as reported by Hugging Face)
Likes12
Created2 March 2022
Last updated at source25 October 2022
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  • 16 Oct 2026 Description: Dataset Card for JaQuAD Dataset Summary Japanese Question Answering Dataset (JaQuAD), released in 2022, is a human-annotated dataset created for Japanese Machine Reading Comprehension. JaQuAD is developed to provide a SQuAD-like QA dataset → Dataset Card for JaQuAD Dataset Summary Japanese Question Answering Dataset (JaQuAD), released in 2022, is a human-annotated dataset created for Japanese Machine Reading Comprehension. JaQuAD is developed to provide a SQuAD-like QA dataset

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