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FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Raza, Shaina, Ghuge, Shardul, Ding, Chen, Dolatabadi, Elham, Pandya, Deval
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
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