Datasets:
| license: apache-2.0 | |
| configs: | |
| - config_name: '2022' | |
| data_files: 2022.jsonl | |
| - config_name: '2023' | |
| data_files: 2023.jsonl | |
| default: true | |
| dataset_info: | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: exam | |
| dtype: string | |
| - name: IU | |
| dtype: bool | |
| - name: ledor | |
| dtype: bool | |
| - name: question | |
| dtype: string | |
| - name: alternatives | |
| sequence: string | |
| - name: figures | |
| sequence: string | |
| - name: description | |
| sequence: string | |
| - name: label | |
| dtype: string | |
| task_categories: | |
| - visual-question-answering | |
| - multiple-choice | |
| language: | |
| - pt | |
| 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} | |
| } | |
| ``` |