README.md

metadata

language:
  - ta
task_categories:
  - automatic-speech-recognition
tags:
  - audio
  - speech
  - parquet
dataset_info:
  splits:
    - name: train
    - name: test
  features:
    - name: id
      dtype: string
    - name: audio
      dtype: audio
    - name: audio_length
      dtype: int64
    - name: caption
      dtype: string
    - name: language
      dtype: string
    - name: duration
      dtype: float64
    - name: upload_id
      dtype: string
    - name: segment_id
      dtype: string
    - name: collection
      dtype: string
    - name: label
      dtype: string
    - name: source_audio
      dtype: string
    - name: start
      dtype: float64
    - name: end
      dtype: float64

Audio Clips Dataset

AudioCaps-style parquet dataset generated from T_VOICE_OVR.

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"])