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Author

Ahmetcan Yavuz

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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

What Language is This? Ask Your Tokenizer

UniLID, a simple and efficient LID method based on the UnigramLM tokenization algorithm, is introduced, which supports incremental addition of new languages without retraining existing models, and can naturally be integrated into existing language model tokenization pipelines.

Clara Meister, Ahmetcan Yavuz, Pietro Lesci et al. · 2 citations

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