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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: 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}… See the full description on the dataset page: https://huggingface.co/datasets/kamel-usp/aes_enem_dataset.

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Automated Essay Score (AES) ENEM Dataset

Dataset Description

  • Purpose: Automated Essay Scoring
  • Contents: Student Essay Grades
  • Source: https://huggingface.co/datasets/kamel-usp/aesenemdataset
  • 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
  • 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
  • Related Datasets: https://github.com/evelinamorim/aes-pt