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README.md

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----
-license: other
-license_name: custom
-license_link: LICENSE
----
+---
+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.}
+}
+```