Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Portuguese
Size:
1K - 10K
License:
metadata
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: igorcs@ime.usp.br; andre.barbosa@ime.usp.br
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
- id: id of scraped page.
- Number of Instances:
- sourceAOnly:
- train: 227
- validation: 68
- test: 90
- sourceAWithGraders:
- train: 744
- validation: 195
- test: 216
- sourceB:
- full: 3219
- sourceAOnly:
- 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
- Related Datasets: https://github.com/evelinamorim/aes-pt