Datasetpublic

Reza2kn/visualears-fa-train-audio-16k

VisualEars 115M FA training audio (16kHz mono FLAC) 3362186 clips packed into 89 tar shards (~5GB each), + NeMo manifests. Fast download + extract on a new cluster pip install -U huggingface_hub hf download Reza2kn/visualears-fa-train-audio-16k --repo-type dataset --local-dir DATA # add: --token $HF_TOKEN if private cd DATA && for t in audio/shard_*.tar; do tar xf "$t"; done # reconstructs pseudo_audio/, gold_*_audio/ Manifests in manifests/ use paths… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/visualears-fa-train-audio-16k.

sourceHugging Faceupdated 3mo agoView on Hugging Face

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Dataset Card

VisualEars 115M FA training audio (16kHz mono FLAC)

3362186 clips packed into 89 tar shards (~5GB each), + NeMo manifests.

Fast download + extract on a new cluster

bash

pip install -U huggingface_hub
hf download Reza2kn/visualears-fa-train-audio-16k --repo-type dataset --local-dir DATA   # add: --token $HF_TOKEN if private
cd DATA && for t in audio/shard_*.tar; do tar xf "$t"; done        # reconstructs pseudo_audio/, gold_*_audio/

Manifests in manifests/ use paths relative to DATA/ — train from DATA/ directly.

—manifests/pseudo_train.jsonl — pseudo coverage (89 shards source)
—manifests/gold_train.jsonl, manifests/gold_dev.jsonl — neyshekar-v4 gold split