Update README.md

README.md

@@ -169,14 +169,36 @@ AllenAI are releasing this dataset under the terms of ODC-BY. By using this, you
 
 ### Citation Information
 
+If you use this dataset in your work, please cite us and the original mC4 authors as:
+
 ```
-@article{2019t5,
-    author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
-    title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
-    journal = {arXiv e-prints},
-    year = {2019},
-    archivePrefix = {arXiv},
-    eprint = {1910.10683},
+@article{sarti-nissim-2022-it5,
+    title={IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation},
+    author={Sarti, Gabriele and Nissim, Malvina},
+    journal={ArXiv preprint 2203.03759},
+    url={https://arxiv.org/abs/2203.03759},
+    year={2022},
+    month={mar}
+}
+
+@inproceedings{xue-etal-2021-mt5,
+    title = "m{T}5: A Massively Multilingual Pre-trained Text-to-Text Transformer",
+    author = "Xue, Linting  and
+      Constant, Noah  and
+      Roberts, Adam  and
+      Kale, Mihir  and
+      Al-Rfou, Rami  and
+      Siddhant, Aditya  and
+      Barua, Aditya  and
+      Raffel, Colin",
+    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
+    month = jun,
+    year = "2021",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2021.naacl-main.41",
+    doi = "10.18653/v1/2021.naacl-main.41",
+    pages = "483--498",
 }
 ```