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@zhimin-z Thank you for bringing up this important issue. While the resources you mentioned are presented in a tutorial format or offer relevant open-source packages, our resource provides a succinct summary of research papers. Moreover, we offer a more systematic categorization of the methods, which helps to enhance understanding.
This is definitely an awesome list, however, I notice there exist three similar lists that might need our attention:
https://github.com/Data-Centric-AI-Community/awesome-data-centric-ai
https://github.com/HazyResearch/data-centric-ai
https://github.com/Renumics/awesome-open-data-centric-ai
How do we differentiate the list from each other in terms of the goal?
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