Update README.md

README.md

@@ -1,13 +1,13 @@
 ---
 license: apache-2.0
 configs:
-- config_name: '2022'
-  data_files: 2022.jsonl
-- config_name: '2023'
-  data_files: 2023.jsonl
 - config_name: '2024'
   data_files: 2024.jsonl
   default: true
+- config_name: '2023'
+  data_files: 2023.jsonl
+- config_name: '2022'
+  data_files: 2022.jsonl
 dataset_info:
   features:
   - name: id
@@ -38,7 +38,7 @@ 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.
+The ENEM 2022, 2023 and 2024 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).