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allenai/quac

Question AnsweringText GenerationFill MaskENmit

Created by allenai at 2022, the allenai/quac is a question answering dataset in EN containing 12,567 records in Parquet format. With 919 downloads and 38 likes, it is actively used by the community. It is released under the mit license and is a 10K<n<100K-scale dataset.

About allenai/quac

Question Answering in Context is a dataset for modeling, understanding, and participating in information seeking dialog. Data instances consist of an interactive dialog between two crowd workers: (1) a student who poses a sequence of freeform ques...

Details

Task
Question Answering, Text Generation, Fill Mask
Language
EN
Format
Parquet
Rows / instances
12567
Size
10K<n<100K
Creator
allenai
Year
2022
License
mit
Downloads
919
Likes
38
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