Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,78 @@
+---
+license: cc-by-4.0
+language:
+  - my
+task_categories:
+  - automatic-speech-recognition
+tags:
+  - audio
+  - text
+  - speech
+  - burmese
+  - openslr
+pretty_name: OpenSLR-80 Burmese Speech Dataset
+size_categories:
+  - 1K<n<10K
+---
+
+# OpenSLR-80 – Brumese Transcribed Speech
+
+**Source:** [https://www.openslr.org/80/](https://www.openslr.org/80/)
+
+## Dataset Description
+- **Homepage:** [OpenSLR SLR80](https://www.openslr.org/80/)
+
+This dataset contains transcribed high-quality audio of Tamil sentences recorded
+by volunteers. It is part of the [OpenSLR](https://www.openslr.org) collection of
+free speech resources for low-resource languages.
+
+The data was collected via the
+[Appen](https://appen.com) (formerly Figure Eight / CrowdFlower) crowdsourcing
+platform and is intended for use in training automatic speech recognition (ASR)
+and text-to-speech (TTS) systems.
+
+### Data Collection
+
+Volunteers were asked to read Tamil sentences displayed on their screen and
+record themselves. Quality control was performed to ensure accurate transcriptions
+and clean audio.
+
+### Contents
+
+| Field | Description |
+|-------|-------------|
+| `file_id` | Anonymized identifier for the audio file |
+| `audio` | WAV audio file (mono) |
+| `transcription` | Tamil text transcription of the utterance |
+| `duration` | Duration of the audio in seconds |
+
+
+## License
+
+[Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)
+
+## Citation
+
+If you use this dataset, please cite:
+
+```
+@inproceedings{oo-etal-2020-burmese,
+    title = {{Burmese Speech Corpus, Finite-State Text Normalization and Pronunciation Grammars with an Application to Text-to-Speech}},
+    author = {Oo, Yin May and Wattanavekin, Theeraphol and Li, Chenfang and De Silva, Pasindu and Sarin, Supheakmungkol and Pipatsrisawat, Knot and Jansche, Martin and Kjartansson, Oddur and Gutkin, Alexander},
+    booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
+    month = may,
+    year = {2020},
+    pages = "6328--6339",
+    address = {Marseille, France},
+    publisher = {European Language Resources Association (ELRA)},
+    url = {https://www.aclweb.org/anthology/2020.lrec-1.777},
+    ISBN = {979-10-95546-34-4},
+  }
+```
+
+## Additional Information
+
+- **Homepage:** https://www.openslr.org/65/
+- **Repository:** https://openslr.org/resources/65/
+- **Paper:** N/A
+- **Point of Contact:** OpenSLR maintainers