--- license: other language: - mnw pretty_name: RFA Mon Language Voices tags: - audio - asr - speech-recognition - mon - webdataset - myanmar task_categories: - automatic-speech-recognition - audio-classification - voice-activity-detection language_creators: - found source_datasets: - original --- # RFA Mon Language Voices 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. This dataset was created by **freococo**. 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. ### Acknowledgments 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. ## Dataset Structure & Format This dataset follows the [WebDataset](https://github.com/webdataset/webdataset) format. Each sample consists of two paired files inside a `.tar.gz` archive: - `XXXX.mp3` — the audio chunk (up to 15 seconds) - `XXXX.json` — the corresponding metadata (UTF-8 JSON) 🟢 **Minimum chunk duration:** 0.97 seconds 🔴 **Maximum chunk duration:** 15.01 seconds Each `.json` file contains a rich set of fields preserved from the original YouTube video: ```json { "__key__": "some_video_id_chunk_0000", "file_name": "some_video_id_chunk_0000.mp3", "title": "မွန်တိုင်းရင်းသားဘာသာ သတင်းအစီအစဉ်", "uploader": "RFA လွတ်လပ်တဲ့အာရှအသံ", "channel_url": "https://www.youtube.com/channel/UCE75dgnEYPacknHHg3a3sJg", "upload_date": "20230101", "duration": 15.0, "video_url": "https://www.youtube.com/watch?v=some_video_id", "thumbnail_url": "https://i.ytimg.com/vi/some_video_id/maxresdefault.jpg", "description": "မွန်တိုင်းရင်းသားဘာသာ သတင်းအစီအစဉ်...", "tags": [ "Radio Free Asia", "Burma", "Myanmar", "Burmese", "RFA", "news" ], "view_count": 1234, "like_count": 56, "language": "mnw", "original_video_id": "some_video_id" } ``` ## Usage Example You can easily stream this dataset using the Hugging Face `datasets` library. The `streaming=True` mode is highly recommended. ```python from datasets import load_dataset dataset = load_dataset( "freococo/mon_language_asr_audio", split="train", streaming=True ) for sample in dataset.take(5): print(sample["audio"]) # Audio object with decoded waveform print(sample["json"]["title"]) # Access metadata from the JSON print(f"Duration: {sample['json']['duration']}s") ``` ## Known Limitations This dataset was created using an automated pipeline and has the following characteristics: - **No Transcriptions:** This dataset is audio-only and does not include text transcriptions. - **Background Noise:** As the audio is sourced from news broadcasts, some segments may contain background music, jingles, or other non-speech sounds. - **No Speaker Labels:** The dataset does not differentiate between different speakers within or across broadcasts. 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. ## Licensing & Use 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. The use of this dataset is governed by the official [RFA Terms of Use](https://www.rfa.org/about/termsofuse). In summary, the content is made available for **non-commercial, informational, and educational purposes only**. - **Permitted Use**: You may use this dataset for non-commercial research, personal projects, and educational applications. - **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. - **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. By using this dataset, you agree to abide by these terms. ## 📚 Citation If you use this dataset in your work, please cite it as follows: ``` @dataset{freococo_mon_language_asr_audio_2025, author = {freococo}, title = {RFA Mon Language Voices}, year = {2025}, url = {https://huggingface.co/datasets/freococo/mon_language_asr_audio}, note = {Dataset compiled from Radio Free Asia (RFA) Burmese news broadcasts.} } ```