Autonomously curated subsets of HuggingFaceFW/fineweb-2.
An LLM agent iteratively samples documents, identifies quality problems, and proposes heuristic fixes. Each fix is validated by training a small language model for 5 minutes and measuring BPB improvement on a Wikipedia eval set. Only fixes that improve BPB are kept.
Built with autocurate.