Stanford's Paperclip Datasets: describe a dataset in one prompt, agents curate it from millions of papers in minutes

james_y_zou · x · 2026-11-04

James Zou's team released Paperclip Datasets, compressing months of dataset curation into roughly a minute. Fast models let AI agents extract structured data from thousands of papers, patents, clinical trials and regulatory records in parallel, with every value traceable back to its source; datasets refresh as new evidence arrives.

As a demo, they curated 20,000 human drug half-life measurements across 2,400+ drugs — claimed to be the largest such dataset — and released it on Hugging Face. Tool and blog are live; users just describe the dataset they want.

Related event: Stanford's Paperclip Datasets Curates Custom Datasets from Millions of Papers in Minutes(5 posts)→

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