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In line with initiatives like Data-centric AI (https://https-deeplearning-ai.github.io/data-centric-comp/, https://github.com/HazyResearch/data-centric-ai), we firmly believe that iterating on datasets (finding label errors, dataset slicing, QA, etc.) will become more and more important, and tools for making this easier and involving different roles are needed.
You can check the project and tutorials here: https://github.com/recognai/rubrix
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