{
 "schema_version": 1,
 "generated": "2026-10-24",
 "id": "omni-scientist-awesome-ai-scientist--find-datasets-for-science-agent-training",
 "repo": "Omni-Scientist/Awesome-AI-Scientist",
 "repo_url": "https://github.com/Omni-Scientist/Awesome-AI-Scientist",
 "repo_slug": "omni-scientist-awesome-ai-scientist",
 "title": "Find datasets and environments for a science agent",
 "page_title": "How to find datasets and environments for a science agent with Awesome AI Scientist",
 "summary": "Locate datasets, corpora and environments to train or test an agent on science tasks.",
 "who": "A data scientist building a science agent who needs data and sandbox environments that match a specific field.",
 "problem": "Science datasets and environments are scattered across papers, so finding usable ones takes long searches.",
 "outcome": "You have a shortlist of datasets and environments with links, filtered to your field, ready for a data-access check.",
 "steps": [
  "Open the Datasets, Corpora & Environments section of the README.",
  "Scan the entries for the field you need, such as chemistry, biology or materials.",
  "Open each candidate and confirm the license and access terms on its own page.",
  "Record the three best candidates with their links for your project notes."
 ],
 "agent_prompt": "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.",
 "agents": [
  "any"
 ],
 "difficulty": "Beginner",
 "time": "45 minutes",
 "basis": "readme",
 "caveat": "The README lists datasets and environments without access terms, so you must check each linked source yourself.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "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"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/omni-scientist-awesome-ai-scientist/find-datasets-for-science-agent-training/",
 "md": "https://dedupedai.com/use-cases/omni-scientist-awesome-ai-scientist/find-datasets-for-science-agent-training/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/omni-scientist-awesome-ai-scientist--find-datasets-for-science-agent-training.json",
 "api_version": "v1"
}