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README.md

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+---
+dataset_info:
+  features:
+  - name: audio
+    dtype: audio
+  - name: transcription
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1334103171.848
+    num_examples: 2277
+  - name: test
+    num_bytes: 143487827.0
+    num_examples: 253
+  download_size: 1191591762
+  dataset_size: 1477590998.848
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+license: cc-by-sa-4.0
+task_categories:
+- text-to-speech
+- automatic-speech-recognition
+language:
+- my
+pretty_name: Myanmar Speech Dataset (openslr-80)
+---
+## Dataset Description
+
+- **Homepage:** https://www.openslr.org/
+
+*Please visit to the [GitHub repository](https://github.com/chuuhtetnaing/myanmar-language-dataset-collection) for other Myanmar Langauge datasets.*
+
+### Myanmar Speech Dataset (OpenSLR-80)
+This dataset consists exclusively of Myanmar speech recordings, extracted from the larger multilingual OpenSLR dataset. 
+For the complete multilingual dataset and additional information, please visit the [original dataset repository](https://huggingface.co/datasets/openslr/openslr) 
+of OpenSLR HuggingFace page.
+
+### Original Source
+OpenSLR is a site devoted to hosting speech and language resources, such as training corpora for speech recognition, 
+and software related to speech recognition.
+
+#### SLR80: Crowdsourced high-quality Burmese speech data set
+This data set contains transcribed high-quality audio of Burmese sentences recorded by volunteers.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/80/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR80
+```
+@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},
+}
+```

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