| language: | |
| - pt | |
| dataset_info: | |
| - config_name: '2022' | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: exam | |
| dtype: string | |
| - name: IU | |
| dtype: bool | |
| - name: ledor | |
| dtype: bool | |
| - name: question | |
| dtype: string | |
| - name: description | |
| sequence: string | |
| - name: label | |
| dtype: string | |
| - name: figures | |
| sequence: string | |
| - name: alternative_a | |
| dtype: string | |
| - name: alternative_b | |
| dtype: string | |
| - name: alternative_c | |
| dtype: string | |
| - name: alternative_d | |
| dtype: string | |
| - name: alternative_e | |
| dtype: string | |
| splits: | |
| - name: test | |
| num_bytes: 224331 | |
| num_examples: 180 | |
| download_size: 144107 | |
| dataset_size: 224331 | |
| - config_name: '2023' | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: exam | |
| dtype: string | |
| - name: IU | |
| dtype: bool | |
| - name: ledor | |
| dtype: bool | |
| - name: question | |
| dtype: string | |
| - name: label | |
| dtype: string | |
| - name: figures | |
| sequence: string | |
| - name: description | |
| sequence: string | |
| - name: alternative_a | |
| dtype: string | |
| - name: alternative_b | |
| dtype: string | |
| - name: alternative_c | |
| dtype: string | |
| - name: alternative_d | |
| dtype: string | |
| - name: alternative_e | |
| dtype: string | |
| splits: | |
| - name: test | |
| num_bytes: 207736 | |
| num_examples: 180 | |
| download_size: 137347 | |
| dataset_size: 207736 | |
| - config_name: '2024' | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: exam | |
| dtype: string | |
| - name: IU | |
| dtype: bool | |
| - name: ledor | |
| dtype: bool | |
| - name: question | |
| dtype: string | |
| - name: label | |
| dtype: string | |
| - name: figures | |
| sequence: string | |
| - name: description | |
| sequence: string | |
| - name: alternative_a | |
| dtype: string | |
| - name: alternative_b | |
| dtype: string | |
| - name: alternative_c | |
| dtype: string | |
| - name: alternative_d | |
| dtype: string | |
| - name: alternative_e | |
| dtype: string | |
| splits: | |
| - name: test | |
| num_bytes: 222986 | |
| num_examples: 180 | |
| download_size: 141912 | |
| dataset_size: 222986 | |
| configs: | |
| - config_name: '2022' | |
| data_files: | |
| - split: test | |
| path: 2022/test-* | |
| - config_name: '2023' | |
| data_files: | |
| - split: test | |
| path: 2023/test-* | |
| - config_name: '2024' | |
| data_files: | |
| - split: test | |
| path: 2024/test-* | |
| ENEM dataset of the tests from years 2022, 2023 and 2024 for personal use on lighteval, with the get_mcq_prompt_function func | |
| Original is from maritaca-ai/enem |