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hugging-science

Curate scientific datasets, models, and Spaces from Hugging Face Hub.

Updated May 17, 2026
Search Tags:#data discovery#model discovery#Hugging Face Hub#scientific datasets#AI/ML research
One-click install
npx skills add https://github.com/galeep/plugin-place --skill hugging-science-galeep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hugging-science
Source: https://github.com/galeep/plugin-place/tree/main/plugins/sci-machine-learning/skills/hugging-science
Command: npx skills add https://github.com/galeep/plugin-place --skill hugging-science-galeep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires datasets, transformers, gradio_client, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of discovering and utilizing scientific datasets, models, and resources for AI/ML research, providing a curated, high-quality selection tailored to specific scientific domains.

Core Features & Use Cases

  • Domain-Specific Resources: Offers a wide range of datasets, models, and interactive Spaces across 17 scientific domains.
  • Curation and Discovery: Streamlines the process of finding relevant resources for scientific AI/ML tasks, reducing time spent on manual searches.
  • Use Case: For a biologist working on protein structure prediction, this Skill can quickly direct them to the most relevant datasets and models, including the latest advancements in the field.

Quick Start

Use the hugging-science skill to find datasets and models for protein structure prediction in biology.

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 and models for AI/ML research on Hugging Face Hub?▼

To find scientific datasets and models for AI/ML research, this Skill provides a curated index of domain-specific resources across 17 scientific domains, streamlining discovery and reducing manual search time on the Hugging Face Hub.

What is the best way to discover AI/ML resources for specific scientific domains like biology?▼

The best way to discover AI/ML resources for specific scientific domains like biology is using a curated index that directs you to relevant datasets and models, such as the latest advancements in protein structure prediction.

Do I need Python libraries to retrieve datasets and models from Hugging Face Hub?▼

Yes, you need Python libraries including datasets, transformers, and gradio_client to access the Hugging Face Hub for retrieving scientific datasets and models for your AI/ML research tasks.

Can I find interactive Spaces for scientific data analysis on Hugging Face?▼

Yes, you can find interactive Spaces for scientific data analysis on Hugging Face, as this Skill provides a curated index of interactive demos alongside scientific datasets and models across 17 domains.

How does curated scientific data discovery streamline AI/ML research workflows?▼

Curated scientific data discovery streamlines AI/ML research workflows by providing a high-quality selection of domain-specific datasets and models, which significantly reduces the time spent on manual searches across the Hugging Face Hub.

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