|
---
|
|
license: Apache License, Version 2.0
|
|
---
|
|
|
|
# Dataset Card for FeedbackQA
|
|
|
|
|
|
## 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.
|
|
|
|
Please find the full dataset [here](https://github.com/McGill-NLP/feedbackqa-data).
|
|
|
|
### 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]
|
|
|
|
|
|
### Contributions
|
|
|
|
[McGill-NLP](https://github.com/McGill-NLP)
|
|
|
