Update README.md

README.md

@@ -1229,10 +1229,56 @@ Below we provide a list of language codes. For each language code the amount of
 ### Cite us
 
 ```
-@article{burchell2025expanded,
-  title={An Expanded Massive Multilingual Dataset for High-Performance Language Technologies},
-  author={Burchell, Laurie and de Gibert, Ona and Arefyev, Nikolay and Aulamo, Mikko and Ba{\~n}{\'o}n, Marta and Fedorova, Mariia and Guillou, Liane and Haddow, Barry and Haji{\v{c}}, Jan and Henriksson, Erik and others},
-  journal={arXiv preprint arXiv:2503.10267},
-  year={2025}
+@inproceedings{burchell-etal-2025-expanded,
+    title = "An Expanded Massive Multilingual Dataset for High-Performance Language Technologies ({HPLT})",
+    author = {Burchell, Laurie  and
+      de Gibert, Ona  and
+      Arefyev, Nikolay  and
+      Aulamo, Mikko  and
+      Ba{\~n}{\'o}n, Marta  and
+      Chen, Pinzhen  and
+      Fedorova, Mariia  and
+      Guillou, Liane  and
+      Haddow, Barry  and
+      Haji{\v{c}}, Jan  and
+      Helcl, Jind{\v{r}}ich  and
+      Henriksson, Erik  and
+      Klimaszewski, Mateusz  and
+      Komulainen, Ville  and
+      Kutuzov, Andrey  and
+      Kyt{\"o}niemi, Joona  and
+      Laippala, Veronika  and
+      M{\ae}hlum, Petter  and
+      Malik, Bhavitvya  and
+      Mehryary, Farrokh  and
+      Mikhailov, Vladislav  and
+      Moghe, Nikita  and
+      Myntti, Amanda  and
+      O{'}Brien, Dayy{\'a}n  and
+      Oepen, Stephan  and
+      Pal, Proyag  and
+      Piha, Jousia  and
+      Pyysalo, Sampo  and
+      Ram{\'i}rez-S{\'a}nchez, Gema  and
+      Samuel, David  and
+      Stepachev, Pavel  and
+      Tiedemann, J{\"o}rg  and
+      Vari{\v{s}}, Du{\v{s}}an  and
+      Vojt{\v{e}}chov{\'a}, Tereza  and
+      Zaragoza-Bernabeu, Jaume},
+    editor = "Che, Wanxiang  and
+      Nabende, Joyce  and
+      Shutova, Ekaterina  and
+      Pilehvar, Mohammad Taher",
+    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
+    month = jul,
+    year = "2025",
+    address = "Vienna, Austria",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2025.acl-long.854/",
+    doi = "10.18653/v1/2025.acl-long.854",
+    pages = "17452--17485",
+    ISBN = "979-8-89176-251-0",
+    abstract = "Training state-of-the-art large language models requires vast amounts of clean and diverse textual data. However, building suitable multilingual datasets remains a challenge. In this work, we present HPLT v2, a collection of high-quality multilingual monolingual and parallel corpora, extending prior work of the HPLT project. The monolingual portion of the data contains 8T tokens covering 193 languages, while the parallel data contains 380M sentence pairs covering 51 languages. We document the entire data pipeline and release the code to reproduce it. We provide extensive analysis of the quality and characteristics of our data. Finally, we evaluate the performance of language models and machine translation systems trained on HPLT v2, demonstrating its value."
 }
 ```