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Dataset Summary
FeedbackQA is a retrieval-based QA dataset that contains interactive feedback from users. It has two parts: the first part contains a conventional RQA dataset, whilst this repo contains the second part, which contains feedback(ratings and natural language explanations) for QA pairs.
Languages
English
Dataset Creation
For each question-answer pair, we collected multiple feedback, each of which consists of a rating, selected from excellent, good, could be improved, bad, and a natural language explanation elaborating on the strengths and/or weaknesses of the answer.
Initial Data Collection and Normalization
We scraped Covid-19-related content from official websites.
Annotations
Who are the annotators?
Crowd-workers
Licensing Information
Apache 2.0
Contributions
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