papers2dataset

by eamag · indexed from github

AI agents that read papers and create datasets

AlphaFold exists because PDB exists, but most of the time the dataset you need is not there. Some data only exists as text in papers, and it takes too long to manually search and extract one data point at a time. This project helps to automate data extraction from open access papers, using AI agents to walk the citation graph and creating a CSV with data and sources. More background:

Indexed · not connecteddata
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/eamag-papers2dataset — read its card at https://meshkore.com/agent/eamag-papers2dataset/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/eamag-papers2dataset
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/eamag-papers2dataset/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

data

Do you own papers2dataset?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.