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--- |
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license: apache-2.0 |
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datasets: |
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- HiTZ/CONAN-EUS |
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language: |
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- en |
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metrics: |
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- bleu |
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library_name: transformers |
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pipeline_tag: text2text-generation |
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tags: |
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- counternarrative |
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- hate speech |
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- text generation |
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--- |
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**Content Warning**: This card may contain examples of offensive language that do not reflect the authors’ views |
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# Model Card for mT5-counternarrative-en |
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This is a fine-tuned text-to-text [mT5-base](https://huggingface.co/google/mt5-base) model to generate counternarratives against hate speech. |
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The model has been fine-tuned on the [CONAN-EUS](https://huggingface.co/datasets/HiTZ/CONAN-EUS) splits of the |
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original CONAN dataset. |
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The CONAN (COunter NArratives through Nichesourcing) dataset was published by [Chung et al., 2019](https://aclanthology.org/P19-1271.pdf) |
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and is publicly available in [https://github.com/marcoguerini/CONAN](https://github.com/marcoguerini/CONAN). |
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CONAN-EUS was created by professionally translating all 6654 English HS-CN pairs of the original CONAN dataset into |
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**Basque and Spanish**. For experimentation we generated train, validation and test splits in a way that no HS-CN pairs occurred across them. |
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<table style="width:33%"> |
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<tr> |
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<th>CONAN-EUS Splits</th> |
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<th>Total HS-CN Count</th> |
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<tr> |
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<td>train</td> |
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<td>4833</td> |
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</tr> |
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<tr> |
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<td>validation</td> |
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<td>537</td> |
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</tr> |
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<tr> |
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<td>test</td> |
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<td>1278</td> |
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</tr> |
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</table> |
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- 📖 Paper: [Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation](https://arxiv.org/abs/2403.09159) In LREC-COLING 2024. |
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- 💻 Github Repo (Data and Code): [https://github.com/ixa-ehu/conan-e/](https://github.com/ixa-ehu/conan-e/) |
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## HS-CN example |
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The CONAN dataset includes HS-CN pairs, regarding the topic of Muslims and Islam. |
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An example of a HS-CN pair in Basque, Spanish and English is illustrated below: |
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| HS | CN | |
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|-------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------| |
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| Musulmanok ez dugu gure kultura aberastu dezakeen ezer erabilgarririk. | Zer egin dute guretzat musulmanek? Beno, kafea, erlojuak, kamerak, higienea, unibertsitateak, tresna kirurgikoak, mapak, musika, aljebra. | |
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| Los musulmanes no tienen nada útil que pueda enriquecer nuestra cultura.| ¿Qué han hecho los musulmanes por nosotros? Bueno, café, relojes, cámaras, higiene, universidades, instrumentos quirúrgicos, mapas, música, álgebra.| |
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| Muslims do not have anything useful that can enrich our culture.| What have Muslims ever done for us? Well, Coffee, Clocks, Cameras, Hygiene, Universities, Surgical Instruments, Maps, Music, Algebra.| |
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If you use the model please **cite these two papers**: |
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## Citation |
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```bibtex |
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@inproceedings{bengoetxea-et-al-2024, |
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title={{B}asque and {S}panish {C}ounter {N}arrative {G}eneration: {D}ata {C}reation and {E}valuation}, |
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author={Jaione Bengoetxea and Yi-Ling Chung and Marco Guerini and Rodrigo Agerri}, |
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year={2024}, |
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publisher = "Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)", |
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} |
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``` |
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```bibtex |
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@inproceedings{chung-etal-2019-conan, |
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title = "{CONAN} - {CO}unter {NA}rratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech", |
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author = "Chung, Yi-Ling and |
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Kuzmenko, Elizaveta and |
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Tekiroglu, Serra Sinem and |
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Guerini, Marco", |
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booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics", |
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year = "2019", |
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pages = "2819--2829" |
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} |
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``` |
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**Contact**: [Rodrigo Agerri](https://ragerri.github.io/) |
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HiTZ Center - Ixa, University of the Basque Country UPV/EHU |
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