The dataset stores clipped audio directly inside parquet shards under data/. Rows are deterministically split into train/test with approximately 1% in test.

Columns

audio: embedded audio bytes and clip path
audio_length: approximate number of samples at 16000 Hz
caption: transcript text
language, duration, upload_id, segment_id, collection, label, source_audio, start, end

Usage

from datasets import Audio, load_dataset

ds = load_dataset("007ask/tvoice", split="train", streaming=True)
ds = ds.cast_column("audio", Audio(sampling_rate=16000))

first = next(iter(ds))
print(first["audio"]["array"].shape, first["caption"])

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