metadata
license: apache-2.0
task_categories:
- text-classification
language:
- pt
tags:
- education
- aes
- enem
size_categories:
- n<1K
Automated Essay Score (AES) ENEM Dataset
Dataset Description
- Purpose: Automated Essay Scoring
- Contents: Student Essay Grades
- Source: https://github.com/kamel-usp/aes_enem
- 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 scrapped page.
id_prompt+idshould 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 scrapped 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
Data Considerations
- Known Limitations:
- Ethical Considerations:
Additional Information
- Additional Links: Main code is here
- Related Datasets: https://github.com/evelinamorim/aes-pt