Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Portuguese
Size:
1K - 10K
License:
| license: apache-2.0 | |
| task_categories: | |
| - text-classification | |
| language: | |
| - pt | |
| tags: | |
| - education | |
| - aes | |
| - enem | |
| size_categories: | |
| - n<1K | |
| dataset_info: | |
| - config_name: JBCS2025 | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: id_prompt | |
| dtype: string | |
| - name: essay_text | |
| dtype: string | |
| - name: grades | |
| sequence: int16 | |
| - name: essay_year | |
| dtype: int16 | |
| - name: supporting_text | |
| dtype: string | |
| - name: prompt | |
| dtype: string | |
| - name: reference | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 2990208 | |
| num_examples: 500 | |
| - name: validation | |
| num_bytes: 672476 | |
| num_examples: 132 | |
| - name: test | |
| num_bytes: 768066 | |
| num_examples: 138 | |
| download_size: 561242 | |
| dataset_size: 4430750 | |
| - config_name: PROPOR2024 | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: id_prompt | |
| dtype: string | |
| - name: essay_title | |
| dtype: string | |
| - name: essay_text | |
| dtype: string | |
| - name: grades | |
| sequence: int16 | |
| - name: essay_year | |
| dtype: int16 | |
| - name: reference | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 1415761 | |
| num_examples: 744 | |
| - name: validation | |
| num_bytes: 333034 | |
| num_examples: 195 | |
| - name: test | |
| num_bytes: 377280 | |
| num_examples: 216 | |
| download_size: 422656 | |
| dataset_size: 2126075 | |
| - config_name: gradesThousand | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: id_prompt | |
| dtype: string | |
| - name: supporting_text | |
| dtype: string | |
| - name: prompt | |
| dtype: string | |
| - name: essay_text | |
| dtype: string | |
| - name: grades | |
| sequence: int16 | |
| - name: essay_year | |
| dtype: int16 | |
| - name: source | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 955224 | |
| num_examples: 129 | |
| - name: validation | |
| num_bytes: 178052 | |
| num_examples: 23 | |
| - name: test | |
| num_bytes: 197901 | |
| num_examples: 27 | |
| download_size: 453182 | |
| dataset_size: 1331177 | |
| - config_name: sourceAOnly | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: id_prompt | |
| dtype: string | |
| - name: prompt | |
| dtype: string | |
| - name: supporting_text | |
| dtype: string | |
| - name: essay_title | |
| dtype: string | |
| - name: essay_text | |
| dtype: string | |
| - name: grades | |
| sequence: int16 | |
| - name: essay_year | |
| dtype: int16 | |
| - name: general_comment | |
| dtype: string | |
| - name: specific_comment | |
| dtype: string | |
| - name: reference | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 1949217 | |
| num_examples: 258 | |
| - name: validation | |
| num_bytes: 430963 | |
| num_examples: 66 | |
| - name: test | |
| num_bytes: 505131 | |
| num_examples: 71 | |
| download_size: 912541 | |
| dataset_size: 2885311 | |
| - config_name: sourceAWithGraders | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: id_prompt | |
| dtype: string | |
| - name: prompt | |
| dtype: string | |
| - name: supporting_text | |
| dtype: string | |
| - name: essay_title | |
| dtype: string | |
| - name: essay_text | |
| dtype: string | |
| - name: grades | |
| sequence: int16 | |
| - name: essay_year | |
| dtype: int16 | |
| - name: general_comment | |
| dtype: string | |
| - name: specific_comment | |
| dtype: string | |
| - name: reference | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 4962183 | |
| num_examples: 758 | |
| - name: validation | |
| num_bytes: 1109553 | |
| num_examples: 198 | |
| - name: test | |
| num_bytes: 1279601 | |
| num_examples: 209 | |
| download_size: 929494 | |
| dataset_size: 7351337 | |
| - config_name: sourceB | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: id_prompt | |
| dtype: string | |
| - name: prompt | |
| dtype: string | |
| - name: supporting_text | |
| dtype: string | |
| - name: essay_title | |
| dtype: string | |
| - name: essay_text | |
| dtype: string | |
| - name: grades | |
| sequence: int16 | |
| - name: essay_year | |
| dtype: int16 | |
| - name: general_comment | |
| dtype: string | |
| - name: specific_comment | |
| dtype: string | |
| - name: reference | |
| dtype: string | |
| splits: | |
| - name: full | |
| num_bytes: 7057077 | |
| num_examples: 3219 | |
| download_size: 3747835 | |
| dataset_size: 7057077 | |
| configs: | |
| - config_name: JBCS2025 | |
| data_files: | |
| - split: train | |
| path: JBCS2025/train-* | |
| - split: validation | |
| path: JBCS2025/validation-* | |
| - split: test | |
| path: JBCS2025/test-* | |
| - config_name: PROPOR2024 | |
| data_files: | |
| - split: train | |
| path: PROPOR2024/train-* | |
| - split: validation | |
| path: PROPOR2024/validation-* | |
| - split: test | |
| path: PROPOR2024/test-* | |
| - config_name: gradesThousand | |
| data_files: | |
| - split: train | |
| path: gradesThousand/train-* | |
| - split: validation | |
| path: gradesThousand/validation-* | |
| - split: test | |
| path: gradesThousand/test-* | |
| - config_name: sourceAOnly | |
| data_files: | |
| - split: train | |
| path: sourceAOnly/train-* | |
| - split: validation | |
| path: sourceAOnly/validation-* | |
| - split: test | |
| path: sourceAOnly/test-* | |
| - config_name: sourceAWithGraders | |
| data_files: | |
| - split: train | |
| path: sourceAWithGraders/train-* | |
| - split: validation | |
| path: sourceAWithGraders/validation-* | |
| - split: test | |
| path: sourceAWithGraders/test-* | |
| - config_name: sourceB | |
| data_files: | |
| - split: full | |
| path: sourceB/full-* | |
| # Automated Essay Score (AES) ENEM Dataset | |
| ## Dataset Description | |
| - **Purpose**: Automated Essay Scoring | |
| - **Contents**: Student Essay Grades | |
| - **Source**: https://huggingface.co/datasets/kamel-usp/aes_enem_dataset | |
| - **Size**: N<1000 | |
| ## Use Case and Creators | |
| - **Intended Use**: Estimate Essay Score | |
| - **Creators**: Igor Cataneo Silveira, André Barbosa and Denis Deratani Mauá | |
| - **Contact Information**: [email protected]; [email protected] | |
| ## Licensing Information | |
| - **License**: MIT License | |
| ## Citation Details | |
| - **Preferred Citation**: | |
| ``` | |
| @proceedings{DBLP:conf/propor/2024, | |
| editor = {Igor Cataneo Silveira, André Barbosa and Denis Deratani Mauá}, | |
| title = {Computational Processing of the Portuguese Language - 16th International | |
| Conference, {PROPOR} 2024, Galiza, March 13-15, 2024, Proceedings}, | |
| series = {Lecture Notes in Computer Science}, | |
| volume = {TODO}, | |
| publisher = {Springer}, | |
| year = {2024}, | |
| url = {TODO}, | |
| doi = {TODO}, | |
| isbn = {TODO}, | |
| timestamp = {TODO}, | |
| biburl = {TODO}, | |
| bibsource = {dblp computer science bibliography, https://dblp.org} | |
| } | |
| ``` | |
| ## Data Structure | |
| - **Features**: | |
| - id: id of scraped page. `id_prompt`+`id` should be unique | |
| - id_prompt: Essay's theme | |
| - essay_title: Essay title | |
| - essay_text: Essay text | |
| - grades: list of 6 elements containing the grade for each of the five concepts plus the sum of all grades | |
| - essay_year: Essay's year | |
| - **Number of Instances**: | |
| - sourceAOnly: | |
| - train: 227 | |
| - validation: 68 | |
| - test: 90 | |
| - sourceAWithGraders: | |
| - train: 744 | |
| - validation: 195 | |
| - test: 216 | |
| - sourceB: | |
| - full: 3219 | |
| - **Data Splits**: | |
| - sourceAOnly: sourceA data | |
| - sourceAWithGraders: sourceA data augmented with Grader's review. In a nutshell, each row becomes three (the original grade plus two graders result) | |
| - sourceB: sourceB data | |
| - PROPOR2024: Same split used in PROPOR2024 paper. The others are updated and fix some tiny bugs (eg reproducilibity issues) | |
| ## Data Considerations | |
| - **Known Limitations**: | |
| - **Ethical Considerations**: | |
| ## Additional Information | |
| - **Additional Links**: Main code is [here](https://huggingface.co/datasets/kamel-usp/aes_enem_dataset) | |
| - **Related Datasets**: https://github.com/evelinamorim/aes-pt |