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J. Giner-Miguelez

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#artificial intelligence Preprint Oct 2026

CroissantMiner: Automated Extraction and Validation of Croissant Metadata for ML Datasets

Croissant has emerged as a standard for machine-readable dataset metadata, yet populating its fields remains labor-intensive and requires careful reading of accompanying dataset documentation. We present the first benchmark enabling end-to-end evaluation of metadata extraction aligned with a community-standard schema....

Berke Arda, Ahmetcan Yavuz, Paul Gerry et al. · 0 citations
Preprint Jul 2026

AI-Ready Research Workflows in Computational Social Science: Lessons on Building a Shared Language for Interdisciplinary Collaboration

Artificial intelligence (AI) is gaining traction in the social sciences and humanities (SSH). However, adoption remains limited by technical barriers to high-performance computing (HPC), validation processes that lag behind AI's rapid progress, and reproducibility standards that most SSH teams cannot meet. Research wor...

J. Giner-Miguelez, A. Malaga, Felipe L Gómez-Cortés et al. · 0 citations

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