metadata
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: transcription
dtype: string
splits:
- name: train
num_bytes: 3000520612.957125
num_examples: 4569
- name: validation
num_bytes: 295462706.3865031
num_examples: 324
- name: test
num_bytes: 720704006.3774319
num_examples: 765
download_size: 3638331196
dataset_size: 4016687325.7210603
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
- Combined openslr/openslr-SLR42 and google/fleurs-km-kh.
- Each audio is shorter than or equal to 30 seconds.
- Sampling rate is 16,000
- Each transcription is already normalized by
tha.normalize.processor(pip install tha)