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ChemPile: A 250GB Diverse and Curated Dataset for Chemical Foundation Models

Fuente: arXiv

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Bibliographic Details
Main Authors:	Mirza, Adrian, Alampara, Nawaf, Ríos-García, Martiño, Abdelalim, Mohamed, Butler, Jack, Connolly, Bethany, Dogan, Tunca, Nezhurina, Marianna, Şen, Bünyamin, Tirunagari, Santosh, Worrall, Mark, Young, Adamo, Schwaller, Philippe, Pieler, Michael, Jablonka, Kevin Maik
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
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