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Update the README with description and citation

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  pretty_name: ENEM
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  size_categories:
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  - n<1K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pretty_name: ENEM
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  size_categories:
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  - n<1K
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+ ---
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+ 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.
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+ A repository containing the essential code for utilizing this dataset is accessible [here](https://github.com/piresramon/gpt-4-enem).
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+ If you use this dataset in your research, please acknowledge the papers below by citing them:
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+
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+ ```bibtex
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+ @misc{pires2023evaluating,
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+ title={Evaluating GPT-4's Vision Capabilities on Brazilian University Admission Exams},
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+ author={Ramon Pires and Thales Sales Almeida and Hugo Abonizio and Rodrigo Nogueira},
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+ year={2023},
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+ eprint={2311.14169},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```
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+
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+ ```bibtex
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+ @misc{nunes2023evaluating,
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+ title={Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams},
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+ author={Desnes Nunes and Ricardo Primi and Ramon Pires and Roberto Lotufo and Rodrigo Nogueira},
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+ year={2023},
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+ eprint={2303.17003},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```