Update README.md

README.md

@@ -14,9 +14,12 @@ pipeline_tag: text2text-generation
 
 This is a fine-tuned text-to-text [mT5-base](https://huggingface.co/google/mt5-base) model to generate counternarratives against hate speech. 
 The model has been fine-tuned on the [CONAN-EUS](https://huggingface.co/datasets/HiTZ/CONAN-EUS) splits of the
-original [CONAN](https://aclanthology.org/P19-1271.pdf dataset).
+original CONAN dataset.
 
-CONAN-EUS was created by professionally translating all 6654 English HS-CN pairs of the original [CONAN](https://aclanthology.org/P19-1271.pdf) dataset into
+The CONAN (COunter NArratives through Nichesourcing) dataset was published by [Chung et al., 2019](https://aclanthology.org/P19-1271.pdf)
+and is publicly available in [https://github.com/marcoguerini/CONAN](https://github.com/marcoguerini/CONAN).
+
+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. 
 
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@@ -40,8 +43,6 @@ CONAN-EUS was created by professionally translating all 6654 English HS-CN pairs
 - 📖 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/](https://github.com/ixa-ehu/conan-e/)
 
-The CONAN (COunter NArratives through Nichesourcing) dataset was published by [Chung et al., 2019](https://aclanthology.org/P19-1271.pdf)
-and is publicly available in [https://github.com/marcoguerini/CONAN](https://github.com/marcoguerini/CONAN).
 
 ## HS-CN example