Update README.md

README.md

@@ -21,4 +21,50 @@ configs:
     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/
+
+### Dataset Summary
+
+OpenSLR is a site devoted to hosting speech and language resources, such as training corpora for speech recognition, 
+and software related to speech recognition. Currently, following resources are available:
+
+#### 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 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+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},
+}
+```