---
datasets:
- PlanTL-GOB-ES/SQAC
language:
- es
metrics:
- bleu
- meteor
- rouge
- sari
- google_bleu
- wer
base_model:
- bigscience/bloom-560m
pipeline_tag: text2text-generation
library_name: transformers
tags:
- AnswerExtraction
license: gpl-3.0
---

# Citation
If you use this model in your research, please cite the following paper: [Evaluating the performance of multilingual models in answer extraction and question generation.](https://www.nature.com/articles/s41598-024-66472-5)

```
@article{moreno-cediel_evaluating_2024,
  title = {Evaluating the performance of multilingual models in answer extraction and question generation},
  volume = {14},
  copyright = {2024 The Author(s)},
  issn = {2045-2322},
  url = {https://www.nature.com/articles/s41598-024-66472-5},
  doi = {10.1038/s41598-024-66472-5},
  language = {en},
  number = {1},
  urldate = {2025-01-10},
  journal = {Scientific Reports},
  author = {Moreno-Cediel, Antonio and del-Hoyo-Gabaldon, Jesus-Angel and Garcia-Lopez, Eva and Garcia-Cabot, Antonio and de-Fitero-Dominguez, David},
  month = jul,
  year = {2024},
  note = {Publisher: Nature Publishing Group},
  keywords = {Computer science, Software},
  pages = {15477},
}
```