Update README.md

README.md

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----
-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)
+---
+license: Apache License, Version 2.0
+---
+
+# Dataset Card for FeedbackQA
+
+[📄 Read](https://arxiv.org/abs/2204.03025)<br>
+[💾 Code](https://github.com/McGill-NLP/feedbackqa)<br>
+[🔗 Webpage](https://mcgill-nlp.github.io/feedbackqa/)<br>
+[💻 Demo](http://206.12.100.48:8080/)<br>
+[🤗 Huggingface Dataset](https://huggingface.co/datasets/McGill-NLP/feedbackQA)<br>
+[💬 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.
+
+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)