Update README.md

README.md

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----
-license: cc-by-nc-4.0
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+---
+license: cc-by-nc-4.0
+language:
+- ro
+---
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+[Winogrande](https://arxiv.org/abs/1907.10641) is a set of 273 expert-crafted pronoun resolution problems originally designed to be unsolvable for statistical models that rely on selectional preferences or word associations.
+
+Here we provide the Romanian translation of the Winogrande benchmark, translated with [Systran](https://www.systransoft.com/).
+This dataset is used as a benchmark and is part of the evaluation protocol for Romanian LLMs proposed in *"Vorbeşti Româneşte?" A Recipe to Train Powerful Romanian LLMs with English Instructions* ([Masala et al., 2024](https://arxiv.org/abs/2406.18266))
+
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+
+```bibtex
+@article{hendryckstest2021,
+    title={Measuring Massive Multitask Language Understanding},
+    author={Dan Hendrycks and Collin Burns and Steven Basart and Andy Zou and Mantas Mazeika and Dawn Song and Jacob Steinhardt},
+    journal={Proceedings of the International Conference on Learning Representations (ICLR)},
+    year={2021}
+}
+```
+
+```bibtext
+@article{masala2024vorbecstiromanecsterecipetrain,
+      title={"Vorbe\c{s}ti Rom\^ane\c{s}te?" A Recipe to Train Powerful Romanian LLMs with English Instructions}, 
+      author={Mihai Masala and Denis C. Ilie-Ablachim and Alexandru Dima and Dragos Corlatescu and Miruna Zavelca and Ovio Olaru and Simina Terian and Andrei Terian and Marius Leordeanu and Horia Velicu and Marius Popescu and Mihai Dascalu and Traian Rebedea},
+      year={2024},
+      eprint={2406.18266},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+