Update README.md

README.md

@@ -17,7 +17,41 @@ dataset_info:
     num_examples: 1020
   download_size: 93176985982
   dataset_size: 111582235409.148
+license: cc-by-nc-4.0
+task_categories:
+- automatic-speech-recognition
+- audio-classification
+tags:
+- automatic-speech-recognition
+- audio-classification
+- Portuguese
+- ASR
+language:
+- pt
+pretty_name: mTEDx PTBR
 ---
-# Dataset Card for "tedx-ptbr"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+# Multilingual TEDx (Portuguese speech and transcripts)
+
+**NOTE:** This dataset contains only the Portuguese portion of the mTEDx dataset, already processed and segmented into parts.
+
+**Multilingual TEDx (mTEDx)** is a multilingual speech recognition and translation corpus to facilitate the training of ASR and SLT models in additional languages.
+
+The corpus comprises audio recordings and transcripts from [TEDx Talks](https://www.ted.com/watch/tedx-talks) in 8 languages (Spanish, French, Portuguese, Italian, Russian, Greek, Arabic, German) with translations into up to 5 languages (English, Spanish, French, Portguese, Italian).
+The audio recordings are automatically aligned at the sentence level with their manual transcriptions and translations.
+Each .tgz file contains two directories: data and docs. docs contains a README detailing the files provided in data and their structure.
+Test sets for all [IWSLT 2021](https://iwslt.org/2021/multilingual) language pairs can be found in mtedx_iwslt2021.tgz.
+For more information on the dataset please see the [dataset paper](https://arxiv.org/abs/2102.01757). 
+
+Contact: Elizabeth Salesky, Matthew Wiesner. [esalesky@jhu.edu, wiesner@jhu.edu](mailto:esalesky@jhu.edu;wiesner@jhu.edu;)
+
+Citation: If you use the Multilingual TEDx corpus in your work, please cite the dataset paper:
+
+```latex
+@inproceedings{salesky2021mtedx,
+  title={Multilingual TEDx Corpus for Speech Recognition and Translation},
+  author={Elizabeth Salesky and Matthew Wiesner and Jacob Bremerman and Roldano Cattoni and Matteo Negri and Marco Turchi and Douglas W. Oard and Matt Post},
+  booktitle={Proceedings of Interspeech},
+  year={2021},
+}
+```