Update README.md

README.md

@@ -1,4 +1,25 @@
 ---
+pretty_name: 10K hours of English MLS
+annotations_creators:
+- expert-generated
+language_creators:
+- crowdsourced
+- expert-generated
+language:
+- en
+license:
+- cc-by-4.0
+multilinguality:
+- multilingual
+paperswithcode_id: multilingual-librispeech
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+- automatic-speech-recognition
+- text-to-speech
+- text-to-audio
 dataset_info:
   features:
   - name: audio
@@ -39,3 +60,28 @@ configs:
   - split: train
     path: data/train-*
 ---
+### Dataset Summary
+
+This is a **10K hours** subset of [**English version of the Multilingual LibriSpeech (MLS) dataset**](https://huggingface.co/datasets/parler-tts/mls_eng=. 
+The data archives were restructured from the original ones from [OpenSLR](http://www.openslr.org/94) to make it easier to stream.
+
+MLS dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 
+8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish. It includes about 44.5K hours of English and a total of about 6K hours for other languages.
+
+This dataset card includes the 10K hours of English. Refers to this [dataset card](https://huggingface.co/datasets/facebook/multilingual_librispeech) for the other languages. 
+
+### Licensing Information
+
+Public Domain, Creative Commons Attribution 4.0 International Public License ([CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/legalcode))
+
+### Citation Information
+
+```
+@article{Pratap2020MLSAL,
+  title={MLS: A Large-Scale Multilingual Dataset for Speech Research},
+  author={Vineel Pratap and Qiantong Xu and Anuroop Sriram and Gabriel Synnaeve and Ronan Collobert},
+  journal={ArXiv},
+  year={2020},
+  volume={abs/2012.03411}
+}
+```