kamel-usp/aes_enem_dataset

Automated Essay Score (AES) ENEM Dataset

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

Data Considerations

• Known Limitations:
• Ethical Considerations:

Additional Information

• Additional Links: Main code is here
• Related Datasets: https://github.com/evelinamorim/aes-pt