mt5-counter-narrative-eu

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Model Card for mT5-counternarrative-es

This is a fine-tuned text-to-text mT5-base model to generate counternarratives against hate speech in Basque. The model has been fine-tuned on the Basque splits of the CONAN-EUS dataset.

CONAN-EUS was created by professionally translating all 6654 English HS-CN pairs of the original CONAN dataset into Basque and Spanish. For experimentation we generated train, validation and test splits in a way that no HS-CN pairs occurred across them.

<table style="width:33%"> <tr> <th>CONAN-EUS Splits</th> <th>Total HS-CN Count</th> <tr> <td>train</td> <td>4833</td> </tr> <tr> <td>validation</td> <td>537</td> </tr> <tr> <td>test</td> <td>1278</td> </tr> </table>

• 📖 Paper: Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation In LREC-COLING 2024.
• 💻 Github Repo (Data and Code): https://github.com/ixa-ehu/conan-e/

HS-CN example

The CONAN dataset includes HS-CN pairs, regarding the topic of Muslims and Islam. An example of a HS-CN pair in Basque, Spanish and English is illustrated below:

If you use the model please cite the following paper:

Citation

@inproceedings{bengoetxea-et-al-2024,
      title={{B}asque and {S}panish {C}ounter {N}arrative {G}eneration: {D}ata {C}reation and {E}valuation},
      author={Jaione Bengoetxea and Yi-Ling Chung and Marco Guerini and Rodrigo Agerri},
      year={2024},
      publisher = "Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)",
}

Contact: Rodrigo Agerri HiTZ Center - Ixa, University of the Basque Country UPV/EHU