Datasets:
Manh Pham commited on
Add dataset card (v4: 486k train + 9.9k val, 17 sources)
Browse files
README.md
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---
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dataset_info:
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features:
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- name: audio
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- split: validation
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path: data/validation-*
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---
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---
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language:
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- km
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license: other
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task_categories:
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- automatic-speech-recognition
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pretty_name: Khmer ASR v4 (actableai)
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size_categories:
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- 100K<n<1M
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tags:
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- khmer
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- asr
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- speech
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- audio
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dataset_info:
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features:
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- name: audio
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- split: validation
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path: data/validation-*
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---
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# Khmer ASR Dataset (v4)
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A consolidated Khmer (ខ្មែរ) speech corpus used to train the actableai Khmer ASR
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model (NeMo, v4 checkpoint). Combines 17 sub-corpora spanning call-center
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recordings, broadcast/cultural content, public ASR corpora, and TTS-synthesised
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speech.
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## Summary
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| Split | Utterances | Hours |
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|------------|-----------:|--------:|
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| train | 486,046 | 502.77 |
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| validation | 9,910 | 10.20 |
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| **total** | **495,956** | **512.97** |
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- Sampling rate: 16 kHz, mono, PCM_16.
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- Text: Khmer script (light normalization from the training pipeline only).
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## Schema
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| Field | Type | Description |
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|-----------|-------------------|--------------------------------------------|
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| audio | `Audio(16000 Hz)` | Mono waveform embedded in parquet. |
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| text | `string` | Khmer transcript. |
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| duration | `float32` | Seconds. |
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| source | `string` | Sub-corpus tag (see below). |
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## Composition by source
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| Source | Train | Validation |
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|----------------------|----------:|-----------:|
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| metfone_v1_v3 | 173,836 | 3,547 |
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| synth_full | 107,488 | 2,193 |
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| ddd_cultural | 55,570 | 1,134 |
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| sethisak_en_kh | 26,698 | 544 |
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| sethisak_kh_en_v2 | 26,698 | 544 |
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| rinabuoy_train | 24,833 | 506 |
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| sethisak | 21,798 | 444 |
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| djsamseng_large | 17,628 | 359 |
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| km_corpus | 14,645 | 298 |
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| sethisak_asr | 5,545 | 113 |
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| openslr42 | 2,848 | 58 |
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| kheng | 2,771 | 56 |
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| mpwt | 2,017 | 41 |
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| shunya | 1,630 | 33 |
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| moses | 949 | 19 |
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| rinabuoy_test | 750 | 15 |
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| grkpp | 342 | 6 |
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`synth_full` is TTS-synthesised speech produced by the actableai OmniVoice
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pipeline — added in v4 to widen phonetic and prosodic coverage.
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("actableai/data-khmer", split="train", streaming=True)
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example = next(iter(ds))
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print(example["text"], example["duration"], example["source"])
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print(example["audio"]["sampling_rate"], example["audio"]["array"].shape)
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```
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For ASR evaluation, note that Khmer is a syllabic script without reliable
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word boundaries — prefer **CER** over WER.
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## Provenance & licensing
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This is a research aggregation of multiple upstream sources. The licensing of
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each sub-corpus follows its upstream project; downstream users are responsible
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for verifying compliance with each source's terms before commercial use.
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Synthesised audio (`synth_full`) is released under the same terms as the
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upstream TTS voices it was produced from.
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