Update README.md

README.md

@@ -4045,4 +4045,29 @@ language:
  - zyn
  - zyp
  - zzj
----
+---
+
+MMS ulab v2 is a a massively multilingual speech dataset that contains  **8900 hours** of unlabeled speech across **4023 languages**. It is a reproduced and extended version of the MMS ulab dataset originally proposed in [Scaling Speech Technology to 1000+ Languages](https://arxiv.org/abs/2305.13516).
+This dataset includes the raw unsegmented audio in a 16kHz single channel format. It can be segmented into utterances with a voice activity detection (VAD) model such as [this one](https://github.com/wiseman/py-webrtcvad).
+We use 6700 hours of MMS ulab v2 (post-segmentation) to train [XEUS](), a multilingual speech encoder for 4000+ languages. 
+
+## License and Acknowledgement
+
+MMS ulab v2 is released under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) license.
+
+If you use this dataset, we ask that you cite the following papers:
+
+```
+@article{pratap2024scaling,
+  title={Scaling speech technology to 1,000+ languages},
+  author={Pratap, Vineel and Tjandra, Andros and Shi, Bowen and Tomasello, Paden and Babu, Arun and Kundu, Sayani and Elkahky, Ali and Ni, Zhaoheng and Vyas, Apoorv and Fazel-Zarandi, Maryam and others},
+  journal={Journal of Machine Learning Research},
+  volume={25},
+  number={97},
+  pages={1--52},
+  year={2024}
+}
+
+```
+
+And also reference [The Global Recordings Network](https://globalrecordings.net/en/copyright) the original source of the data.