OpenLLM-Ro/ro_sft_oasst

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

<!-- Provide a longer summary of what this dataset is. -->
[OpenAssistant](https://huggingface.co/datasets/OpenAssistant/oasst1) is a human-generated, human-annotated assistant-style conversation corpus.

Here we provide the Romanian translation of the OpenAssistant 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
@article{kopf2024openassistant,
title={Openassistant conversations-democratizing large language model alignment},
author={K{\"o}pf, Andreas and Kilcher, Yannic and von R{\"u}tte, Dimitri and Anagnostidis, Sotiris and Tam, Zhi Rui and Stevens, Keith and Barhoum, Abdullah and Nguyen, Duc and Stanley, Oliver and Nagyfi, Rich{\'a}rd and others},
journal={Advances in Neural Information Processing Systems},
volume={36},
year={2024}
}
```

```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}
}
```