metadata
license: Apache License, Version 2.0
Dataset Card for FeedbackQA
Dataset Description
- Homepage: https://mcgill-nlp.github.io/feedbackQA/
- Repository: https://github.com/McGill-NLP/feedbackQA
- Paper:
- Leaderboard:
- Tasks: Question Answering
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.
Please find the full dataset here.
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
[More Information Needed]