Create README.md

README.md

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+---
+task_categories:
+- question-answering
+language:
+- en
+---
+# This is a dataset containing 10,000 posts from Kaggle and 60,000 comments related to those posts in the question-answer topic.
+
+## Data Fields
+
+### kaggle_post
+
+1. 'pseudo', The question authors.
+2. 'title', Title of the Post.
+3. 'question', The question's body.
+4. 'vote', Voting on Kaggle is similar to liking. 
+5. 'medal', I will share with you the Kaggle medal system, which can be found at https://www.kaggle.com/progression. The system awards medals to users based on their performance.
+6. 'nbr_comment', The comment number.
+7. 'date', The post date.
+8. 'url_post', Link the comment dataset using the post URL.
+9. 'url_competition', If the question is related to a competition, include the competition URL.
+10. 'rank_competition', The author's rank in the competition.
+
+### kaggle_comment
+
+1. 'pseudo_com', the answer authors.
+2. 'answer', The answer's body.
+3. 'vote_com', The answer's number of likes
+4. 'medal_com', I will share with you the Kaggle medal system, which can be found at https://www.kaggle.com/progression. The system awards medals to users based on their performance.
+5. 'date_com', The answer date.
+6. 'url_post', Link the comment dataset using the post URL.
+7. 'rank_competition', the author's rank in the competition.
+
+
+Data scraping by Mathieu Duverne on august 2023.