hugging-science

Catalog scientific datasets, models, and demos across 17 domains.

22|4|Updated May 25, 2026

Search Tags:#models #catalog #datasets #spaces #hugging-face #research-ai

Ready to run

npx skills add https://github.com/crazymsn/academic-skills --skill hugging-science-crazymsn

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: hugging-science
Source: https://github.com/crazymsn/academic-skills/tree/main/academic-skills/hugging-science
Command: npx skills add https://github.com/crazymsn/academic-skills --skill hugging-science-crazymsn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Hugging Science provides a curated, LLm-friendly index of scientific datasets, models, blog posts, and interactive demos to accelerate ML research across biology, chemistry, physics, and more.

Core Features & Use Cases

Centralized discovery of high-quality science resources across 17 domains via a compact index and domain-specific topic pages.
Easy access to datasets (Hugging Face Datasets), models (Hugging Face Transformers), and Spaces for interactive demos through a consistent catalog interface.
Use cases include quickly locating domain-appropriate datasets for benchmarking, selecting foundational models for experiments, and exploring interactive demos to prototype ideas.

Quick Start

Ask the AI to fetch the live catalog for a domain (e.g., biology) and present the top recommended resources.

Frequently Asked Questions about hugging-science

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I find scientific datasets for machine learning research in biology or chemistry?▼

To find scientific datasets for machine learning research, you can fetch a curated catalog of domain-specific resources across 17 domains like biology and chemistry. This catalog surfaces high-quality datasets suitable for benchmarking and model training.

What is the best way to locate foundational models for physics experiments?▼

The best way to locate foundational models for physics experiments is by accessing a centralized index of Hugging Face Transformers models. This catalog provides structured metadata and topic views to help you select the right model.

How do I filter Hugging Face resources by domain and type?▼

You can filter Hugging Face resources by domain and type using a centralized catalog interface that offers topic views and tags. This allows you to easily narrow down datasets, models, and Spaces across 17 scientific domains.

Does this catalog include structured metadata for workflow integration?▼

Yes, the catalog includes structured metadata suitable for workflow integration. This allows you to programmatically surface and utilize high-signal scientific resources to accelerate your ML research pipeline.

How do I get started with discovering scientific ML models?▼

To get started with discovering scientific ML models, ask the AI to fetch the live catalog for a specific domain, such as biology, and present the top recommended resources. This provides a quick overview of available datasets, models, and demos.