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How to find datasets and environments for a science agent with Awesome AI Scientist

Locate datasets, corpora and environments to train or test an agent on science tasks.

  • Research
  • Beginner
  • 45 minutes
  • From the README
  • Any agent

Authorization notice. Awesome AI Scientist is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA data scientist building a science agent who needs data and sandbox environments that match a specific field.

The problemScience datasets and environments are scattered across papers, so finding usable ones takes long searches.

The outcomeYou have a shortlist of datasets and environments with links, filtered to your field, ready for a data-access check.

What you need first

  • A web browser to read the README and follow GitHub links
  • A GitHub account if you plan to clone or fork a linked repository
  • A Python environment for running any linked project (the list is tagged Python)
  • Time to read each linked project's own README, since this list does not contain install instructions

Steps

  1. Open the Datasets, Corpora & Environments section of the README.
  2. Scan the entries for the field you need, such as chemistry, biology or materials.
  3. Open each candidate and confirm the license and access terms on its own page.
  4. Record the three best candidates with their links for your project notes.

Prompt for your agent

Using the README of Omni-Scientist/Awesome-AI-Scientist, list the Datasets, Corpora & Environments entries relevant to <scientific field>. Return each name and link, and verify on each linked page that the access terms are stated before you include it.

Caveat. The README lists datasets and environments without access terms, so you must check each linked source yourself.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for Omni-Scientist/Awesome-AI-Scientist and "Find datasets and environments for a science agent"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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