Update README.md

README.md

@@ -68,12 +68,12 @@ size_categories:
 
 - **Homepage:** https://huggingface.co/datasets/TucanoBR/GigaVerbo-Text-Filter
 - **Repository:** https://huggingface.co/datasets/TucanoBR/GigaVerbo-Text-Filter
-- **Paper:** [Tucano: Advancing Neural Text Generation for Portuguese](https://arxiv.org/abs/xxxx.xxxxx)
+- **Paper:** [Tucano: Advancing Neural Text Generation for Portuguese](https://arxiv.org/abs/2411.07854)
 - **Point of Contact:** [Nk-correa](mailto:kluge@uni-bonn.de)
 
 ### Dataset Summary
 
-GigaVerbo Text-Filter is a dataset with 110,000 randomly selected samples from 9 subsets of [GigaVerbo](https://huggingface.co/datasets/TucanoBR/GigaVerbo) (i.e., specifically those that were not synthetic). This dataset was used to train the text-quality filters described in "_[Tucano: Advancing Neural Text Generation for Portuguese](https://arxiv.org/abs/xxxx.xxxxx)_". To create the text embeddings, we used [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE). All scores were generated by GPT-4o.
+GigaVerbo Text-Filter is a dataset with 110,000 randomly selected samples from 9 subsets of [GigaVerbo](https://huggingface.co/datasets/TucanoBR/GigaVerbo) (i.e., specifically those that were not synthetic). This dataset was used to train the text-quality filters described in "_[Tucano: Advancing Neural Text Generation for Portuguese](https://arxiv.org/abs/2411.07854)_". To create the text embeddings, we used [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE). All scores were generated by GPT-4o.
 
 ### Supported Tasks and Leaderboards
 
@@ -81,7 +81,7 @@ This dataset can be utilized for tasks involving text classification/regression
 
 ### Languages
 
-Portuguese.
+Portuguese
 
 ## Dataset Structure
 
@@ -123,7 +123,7 @@ dataset = load_dataset("TucanoBR/GigaVerbo-Text-Filter", split='train', streamin
 
 ### Curation Rationale
 
-This dataset was developed as part of the study "[Tucano: Advancing Neural Text Generation for Portuguese](https://arxiv.org/abs/xxxx.xxxxx)". In short, GigaVerbo Text-Filter is a dataset with 110,000 randomly selected samples from 9 subsets of [GigaVerbo](https://huggingface.co/datasets/TucanoBR/GigaVerbo).
+This dataset was developed as part of the study "[Tucano: Advancing Neural Text Generation for Portuguese](https://arxiv.org/abs/2411.07854)". In short, GigaVerbo Text-Filter is a dataset with 110,000 randomly selected samples from 9 subsets of [GigaVerbo](https://huggingface.co/datasets/TucanoBR/GigaVerbo).
 
 ### Source Data
 
@@ -205,11 +205,14 @@ The following datasets and respective licenses from GigaVerbo (only training spl
 
 ```latex
 
-@misc{correa24tucano,
-  title = {{Tucano: Advancing Neural Text Generation for Portuguese}},
-  author = {Corr{\^e}a, Nicholas Kluge and Sen, Aniket and Falk, Sophia and Fatimah, Shiza},
-  journal={arXiv preprint arXiv:xxxx.xxxxx},
-  year={2024}
+@misc{correa2024tucanoadvancingneuraltext,
+      title={{Tucano: Advancing Neural Text Generation for Portuguese}}, 
+      author={Corr{\^e}a, Nicholas Kluge and Sen, Aniket and Falk, Sophia and Fatimah, Shiza},
+      year={2024},
+      eprint={2411.07854},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2411.07854}, 
 }
 
 ```