Update the README with description and citation

README.md

@@ -34,4 +34,32 @@ language:
 pretty_name: ENEM
 size_categories:
 - n<1K
----
+---
+
+The enem 2022 and enem 2023 datasets encompass all multiple-choice questions from the last two editions of the [Exame Nacional do Ensino Médio (ENEM)](https://www.gov.br/inep/pt-br/areas-de-atuacao/avaliacao-e-exames-educacionais/enem), the main standardized entrance examination adopted by Brazilian universities. The datasets have been created to allow the evaluation of both textual-only and textual-visual language models. To evaluate textual-only models, we incorporated into the datasets the textual descriptions of the images that appear in the questions' statements from the orange ENEM exam booklet, a particular booklet that offers accessibility to people with visual impairments.
+
+A repository containing the essential code for utilizing this dataset is accessible [here](https://github.com/piresramon/gpt-4-enem).
+
+If you use this dataset in your research, please acknowledge the papers below by citing them:
+
+```bibtex
+@misc{pires2023evaluating,
+      title={Evaluating GPT-4's Vision Capabilities on Brazilian University Admission Exams}, 
+      author={Ramon Pires and Thales Sales Almeida and Hugo Abonizio and Rodrigo Nogueira},
+      year={2023},
+      eprint={2311.14169},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+
+```bibtex
+@misc{nunes2023evaluating,
+      title={Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams}, 
+      author={Desnes Nunes and Ricardo Primi and Ramon Pires and Roberto Lotufo and Rodrigo Nogueira},
+      year={2023},
+      eprint={2303.17003},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```