README.md

metadata

language:
  - nan
license: other
task_categories:
  - automatic-speech-recognition
tags:
  - speech
  - audio
  - asr

lai-ching-te-speech

ASR dataset packaged from SRT-aligned audio clips.

Dataset info

Split	Samples
train	10
validation	0
test	0

Total audio: 0.0 hours

Usage

from datasets import load_dataset, Audio

ds = load_dataset("lai-ching-te-speech")
ds = ds.cast_column("audio", Audio(sampling_rate=16000))

# Access a sample
sample = ds["train"][0]
print(sample["text"])        # transcript
print(sample["audio"])       # {"array": ..., "sampling_rate": ...}

Columns

• audio — raw WAV bytes embedded in Parquet
• text — ASR-normalized transcript (lowercase, no punctuation)
• duration_s — clip duration in seconds
• snr_db — estimated signal-to-noise ratio
• wps — words per second (speaking rate)
• original_text — raw subtitle text before normalization