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sonalsannigrahi/cv22_azeros

FLEURS (Lhotse cuts) Each language is a separate config. Load a single language's cuts as a HF Dataset of raw manifest records with, e.g.: from datasets import load_dataset ds = load_dataset("your-org/REPO_NAME", "bg_bg", split="train") If audio shards (recording.NNNNN.tar) are present alongside the cuts, the LANG/SPLIT/ folder is a valid Lhotse Shar directory. Download it (e.g. via snapshot_download) and load with Lhotse directly: from huggingface_hub import snapshot_download… See the full description on the dataset page: https://huggingface.co/datasets/sonalsannigrahi/cv22_azeros.

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sonalsannigrahi/cv22_azeros · CoolFace