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--- |
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license: other |
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language: |
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- mnw |
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pretty_name: RFA Mon Language Voices |
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tags: |
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- audio |
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- asr |
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- speech-recognition |
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- mon |
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- webdataset |
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- myanmar |
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task_categories: |
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- automatic-speech-recognition |
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- audio-classification |
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- voice-activity-detection |
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language_creators: |
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- found |
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source_datasets: |
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- original |
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--- |
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# RFA Mon Language Voices |
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This dataset contains **14.8 hours** of audio in the **Mon** language, sourced from news broadcasts by **Radio Free Asia (RFA) Burmese**. This is one of the largest publicly accessible audio resources for the Mon language, designed to support research in low-resource automatic speech recognition (ASR), voice activity detection, and other speech-related tasks. |
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This dataset was created by **freococo**. |
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The audio has been automatically segmented into **3,634** manageable chunks and prepared in the efficient [WebDataset](https://github.com/webdataset/webdataset) format. It includes rich metadata extracted from the original YouTube videos, but **does not contain transcriptions**, making it ideal for self-supervised pre-training or tasks that do not require text. |
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### Acknowledgments |
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This dataset was made possible by the journalists and broadcasters at **Radio Free Asia (RFA)** who produce and publish high-quality content in the languages of Myanmar. |
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## Dataset Structure & Format |
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This dataset follows the [WebDataset](https://github.com/webdataset/webdataset) format. Each sample consists of two paired files inside a `.tar.gz` archive: |
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- `XXXX.mp3` — the audio chunk (up to 15 seconds) |
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- `XXXX.json` — the corresponding metadata (UTF-8 JSON) |
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🟢 **Minimum chunk duration:** 0.97 seconds |
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🔴 **Maximum chunk duration:** 15.01 seconds |
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Each `.json` file contains a rich set of fields preserved from the original YouTube video: |
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```json |
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{ |
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"__key__": "some_video_id_chunk_0000", |
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"file_name": "some_video_id_chunk_0000.mp3", |
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"title": "မွန်တိုင်းရင်းသားဘာသာ သတင်းအစီအစဉ်", |
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"uploader": "RFA လွတ်လပ်တဲ့အာရှအသံ", |
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"channel_url": "https://www.youtube.com/channel/UCE75dgnEYPacknHHg3a3sJg", |
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"upload_date": "20230101", |
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"duration": 15.0, |
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"video_url": "https://www.youtube.com/watch?v=some_video_id", |
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"thumbnail_url": "https://i.ytimg.com/vi/some_video_id/maxresdefault.jpg", |
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"description": "မွန်တိုင်းရင်းသားဘာသာ သတင်းအစီအစဉ်...", |
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"tags": [ |
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"Radio Free Asia", |
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"Burma", |
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"Myanmar", |
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"Burmese", |
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"RFA", |
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"news" |
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], |
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"view_count": 1234, |
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"like_count": 56, |
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"language": "mnw", |
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"original_video_id": "some_video_id" |
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} |
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``` |
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## Usage Example |
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You can easily stream this dataset using the Hugging Face `datasets` library. The `streaming=True` mode is highly recommended. |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset( |
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"freococo/mon_language_asr_audio", |
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split="train", |
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streaming=True |
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) |
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for sample in dataset.take(5): |
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print(sample["audio"]) # Audio object with decoded waveform |
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print(sample["json"]["title"]) # Access metadata from the JSON |
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print(f"Duration: {sample['json']['duration']}s") |
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``` |
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## Known Limitations |
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This dataset was created using an automated pipeline and has the following characteristics: |
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- **No Transcriptions:** This dataset is audio-only and does not include text transcriptions. |
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- **Background Noise:** As the audio is sourced from news broadcasts, some segments may contain background music, jingles, or other non-speech sounds. |
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- **No Speaker Labels:** The dataset does not differentiate between different speakers within or across broadcasts. |
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Despite these limitations, this resource is invaluable for pre-training models like Wav2Vec2, developing voice activity detection systems, or performing other unsupervised speech research for the Mon language. |
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## Licensing & Use |
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This dataset contains audio content derived from the official YouTube channel of **Radio Free Asia (RFA) Burmese**. All original content is the exclusive property of RFA and is protected by copyright. |
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The use of this dataset is governed by the official [RFA Terms of Use](https://www.rfa.org/about/termsofuse). |
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In summary, the content is made available for **non-commercial, informational, and educational purposes only**. |
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- **Permitted Use**: You may use this dataset for non-commercial research, personal projects, and educational applications. |
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- **Prohibited Use**: Any commercial use, including but not limited to training proprietary AI models for commercial products, is not permitted without explicit written permission from RFA. |
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- **Required Attribution**: When using or referencing this dataset, you must provide clear attribution to **Radio Free Asia (RFA)** as the original source of the content. |
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By using this dataset, you agree to abide by these terms. |
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## 📚 Citation |
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If you use this dataset in your work, please cite it as follows: |
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``` |
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@dataset{freococo_mon_language_asr_audio_2025, |
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author = {freococo}, |
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title = {RFA Mon Language Voices}, |
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year = {2025}, |
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url = {https://huggingface.co/datasets/freococo/mon_language_asr_audio}, |
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note = {Dataset compiled from Radio Free Asia (RFA) Burmese news broadcasts.} |
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} |
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``` |