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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.

sourceHugging Faceupdated 3mo agoView on Hugging Face

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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.:

python

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:

python

from huggingface_hub import snapshot_download
from lhotse import CutSet

local_dir = snapshot_download("your-org/REPO_NAME", repo_type="dataset", allow_patterns="bg_bg/train/*")
cuts = CutSet.from_shar(in_dir=f"{local_dir}/bg_bg/train")