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Data Quality Tradeoffs in SOTA Model Training Datasets

I'm not 100% sure about that. As an example I was just browsing through the DCLM-baseline datamix (which is ~SOTA) and it is *terrible*. Compared to what I could in principle imagine. Major concessions are made in data quality to gather enough data quantity.

→ View original post on X — @karpathy