Legal caveats
Just because you can put some data on Kaggle does not necessarily mean that you should. An excellent example would be the People of Tinder dataset. In 2017, a developer used the Tinder API to scrape the website for semi-private profiles and uploaded the data on Kaggle. After the issue became known, Kaggle ended up taking the dataset down. You can read the full story here: https://www.forbes.com/sites/janetwburns/2017/05/02/tinder-profiles-have-been-looted-again-this-time-for-teaching-ai-to-genderize-faces/?sh=1afb86b25454.
In general, before you upload anything to Kaggle, ask yourself two questions:
- Is it allowed from a copyright standpoint? Remember to always check the licenses. When in doubt, you can always consult https://opendefinition.org/guide/data/ or contact Kaggle.
- Are there privacy risks associated with this dataset? Just because posting certain types of information is not, strictly speaking, illegal, doing so might be harmful to another...