metadata

datasets:
  - rajpurkar/squad_v2
  - PlanTL-GOB-ES/SQAC
language:
  - es
metrics:
  - bleu
  - meteor
  - rouge
  - sari
  - google_bleu
  - wer
base_model:
  - bigscience/mt0-base
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.

@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},
}