TPekarekRosin/modicol
MoDiCoL - A Modular Diagnostic Continual Learning Dataset for ASR MoDiCoL is a speech dataset designed to study the robustness of ASR models to different drift factors in a controlled, continual setting. We construct MoDiCoL using a systematic factorial design that enables a rigorous evaluation of linguistic, speaker, and acoustic variation with clearly defined experimental runs. By combining real-world and synthetic speech with a configuration-dependent augmentation pipeline… See the full description on the dataset page: https://huggingface.co/datasets/TPekarekRosin/modicol.
| Author / organization | TPekarekRosin |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 197 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 21 May 2026 |
| Last updated at source | 16 June 2026 |
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