CroissantMiner: Automated Extraction and Validation of Croissant Metadata for ML Datasets
arXiv:2610.07132v1 Announce Type: new Abstract: 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 evaluat…
Read the full story at arXiv cs.CL ↗
Timeline · 1 report
- 2026-10-07 04:00 · arXiv cs.CL
CroissantMiner: Automated Extraction and Validation of Croissant Metadata for ML Datasets