README.md

---
license: cc-by-nc-4.0
language:
- ro
---
### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
[Orca](https://huggingface.co./datasets/Open-Orca/SlimOrca-Dedup) represents a rich collection of augmented FLAN data aligns.

Here we provide the Romanian translation of the Orca dataset, translated with [Systran](https://www.systransoft.com/).
This dataset is part of the instruction finetune 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
@misc{mukherjee2023orca,
      title={Orca: Progressive Learning from Complex Explanation Traces of GPT-4}, 
      author={Subhabrata Mukherjee and Arindam Mitra and Ganesh Jawahar and Sahaj Agarwal and Hamid Palangi and Ahmed Awadallah},
      year={2023},
      eprint={2306.02707},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```

```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}
}
```