hugging-science

Hugging Science Hugging Science is a curated, LLM-friendly index of scientific datasets, models, blog posts, and interactive demos for ML researchers. Use it when a scientific ML question lands in front of you — it's much higher signal than generic search and the entries are pre-filtered for quality and openness. There are two related surfaces, and you should use both: The catalog at huggingscience.co — a static, parseable index of resources across 17 scientific domains. It exposes llms.txt (compact), llms-full.txt (full content), and topics/.md (per-domain). These are markdown files designed to be fetched and read. The hugging-science Hugging Face organization — huggingface.co/hugging-science — community-submitted datasets, a few models, and ~27 interactive Spaces (notably BoltzGen for protein/binder design, Dataset Quest for submissions, and Science Release Heatmap for ecosystem visualization). The catalog points to resources hosted on the broader Hugging Face Hub. So an entry like arcinstitute/opengenome2 is a regular HF dataset that you load with the datasets library; an entry like facebook/esm2_t33_650M_UR50D is a regular HF model you load with transformers . The catalog's job is curation and discovery; usage goes through standard Hugging Face APIs. When to use this skill Engage this skill when the user's task involves AI/ML applied to science. Common signals: Show more Installs 853 Repository k-dense-ai/scie…t-skills GitHub Stars 33.1K First Seen May 1, 2026 Security Audits Gen Agent Trust Hub Warn Socket Pass Snyk Warn