Datasets:
language:
- km
license: other
task_categories:
- automatic-speech-recognition
pretty_name: Khmer ASR v4 (actableai)
size_categories:
- 100K<n<1M
tags:
- khmer
- asr
- speech
- audio
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: duration
dtype: float32
- name: source
dtype: string
splits:
- name: train
num_bytes: 56199107865
num_examples: 486046
- name: validation
num_bytes: 1181228871
num_examples: 9910
download_size: 59169192403
dataset_size: 57380336736
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
Khmer ASR Dataset (v4)
A consolidated Khmer (ខ្មែរ) speech corpus used to train the actableai Khmer ASR model (NeMo, v4 checkpoint). Combines 17 sub-corpora spanning call-center recordings, broadcast/cultural content, public ASR corpora, and TTS-synthesised speech.
Summary
| Split | Utterances | Hours |
|---|---|---|
| train | 486,046 | 502.77 |
| validation | 9,910 | 10.20 |
| total | 495,956 | 512.97 |
- Sampling rate: 16 kHz, mono, PCM_16.
- Text: Khmer script (light normalization from the training pipeline only).
Schema
| Field | Type | Description |
|---|---|---|
| audio | Audio(16000 Hz) |
Mono waveform embedded in parquet. |
| text | string |
Khmer transcript. |
| duration | float32 |
Seconds. |
| source | string |
Sub-corpus tag (see below). |
Composition by source
| Source | Train | Validation |
|---|---|---|
| metfone_v1_v3 | 173,836 | 3,547 |
| synth_full | 107,488 | 2,193 |
| ddd_cultural | 55,570 | 1,134 |
| sethisak_en_kh | 26,698 | 544 |
| sethisak_kh_en_v2 | 26,698 | 544 |
| rinabuoy_train | 24,833 | 506 |
| sethisak | 21,798 | 444 |
| djsamseng_large | 17,628 | 359 |
| km_corpus | 14,645 | 298 |
| sethisak_asr | 5,545 | 113 |
| openslr42 | 2,848 | 58 |
| kheng | 2,771 | 56 |
| mpwt | 2,017 | 41 |
| shunya | 1,630 | 33 |
| moses | 949 | 19 |
| rinabuoy_test | 750 | 15 |
| grkpp | 342 | 6 |
synth_full is TTS-synthesised speech produced by the actableai OmniVoice
pipeline — added in v4 to widen phonetic and prosodic coverage.
Usage
from datasets import load_dataset
ds = load_dataset("actableai/data-khmer", split="train", streaming=True)
example = next(iter(ds))
print(example["text"], example["duration"], example["source"])
print(example["audio"]["sampling_rate"], example["audio"]["array"].shape)
For ASR evaluation, note that Khmer is a syllabic script without reliable word boundaries — prefer CER over WER.
Provenance & licensing
This is a research aggregation of multiple upstream sources. The licensing of
each sub-corpus follows its upstream project; downstream users are responsible
for verifying compliance with each source's terms before commercial use.
Synthesised audio (synth_full) is released under the same terms as the
upstream TTS voices it was produced from.