--- license: apache-2.0 --- # Dataset Card for FeedbackQA [📄 Read](https://arxiv.org/abs/2204.03025)
[💾 Code](https://github.com/McGill-NLP/feedbackqa)
[🔗 Webpage](https://mcgill-nlp.github.io/feedbackqa/)
[💻 Demo](http://206.12.100.48:8080/)
[🤗 Huggingface Dataset](https://huggingface.co/datasets/McGill-NLP/feedbackQA)
[💬 Discussions](https://github.com/McGill-NLP/feedbackqa/discussions) ## Dataset Description - **Homepage: https://mcgill-nlp.github.io/feedbackqa-data/** - **Repository: https://github.com/McGill-NLP/feedbackqa-data/** - **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. ### 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 [McGill-NLP](https://github.com/McGill-NLP) ### Plain text links arxiv.org/abs/2204.03025