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README.md
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## Dataset Description
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- **Purpose**: Automated Essay Scoring Dataset based on Exame Nacional do Ensino Medio (ENEM) data
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- **Contents**:
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- **Source**:
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- **Size**: N<
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## Use Case and Creators
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- **Intended Use**:
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- **Creators**:
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- **Contact Information**:
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## Licensing Information
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- **License**:
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## Citation Details
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- **Preferred Citation**:
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## Data Structure
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- **Features**:
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- **Number of Instances**:
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- **Data Splits**:
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## Data Considerations
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- **Known Limitations**:
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- **Ethical Considerations**:
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## Additional Information
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- **Additional Links**:
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- **Related Datasets**:
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## Dataset Description
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- **Purpose**: Automated Essay Scoring Dataset based on Exame Nacional do Ensino Medio (ENEM) data
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- **Contents**: Each line is composed by `['id', 'id_prompt', 'essay_title', 'essay_text', 'grades', 'essay_year']`
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- **Source**: https://educacao.uol.com.br/bancoderedacoes/ and https://vestibular.brasilescola.uol.com.br/banco-de-redacoes
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- **Size**: N<1000
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## Use Case and Creators
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- **Intended Use**: Estimate Essay Score
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- **Creators**: Igor Cataneo Silveira, André Barbosa and Denis Deratani Mauá
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- **Contact Information**: [email protected]; [email protected]
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## Licensing Information
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- **License**: MIT License
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## Citation Details
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- **Preferred Citation**:
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```
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@proceedings{DBLP:conf/propor/2024,
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editor = {Igor Cataneo Silveira, André Barbosa and Denis Deratani Mauá},
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title = {Computational Processing of the Portuguese Language - 16th International
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Conference, {PROPOR} 2024, Galiza, March 13-15, 2024, Proceedings},
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series = {Lecture Notes in Computer Science},
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volume = {TODO},
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publisher = {Springer},
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year = {2024},
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url = {TODO},
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doi = {TODO},
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isbn = {TODO},
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timestamp = {TODO},
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biburl = {TODO},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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```
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## Data Structure
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- **Features**:
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- id: id of scrapped page. `id_prompt`+`id` should be unique
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- id_prompt: Essay's theme
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- essay_title: Essay title
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- essay_text: Essay text
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- grades: list of 6 elements containing the grade for each of the five concepts plus the sum of all grades
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- essay_year: Essay's year
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- **Number of Instances**:
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- sourceAOnly:
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- train: 227
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- validation: 68
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- test: 90
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- sourceAWithGraders:
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- train: 744
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- validation: 195
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- test: 216
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- sourceB:
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- full: 3219
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- **Data Splits**:
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- sourceAOnly: sourceA data
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- sourceAWithGraders: sourceA data augmented with Grader's review. In a nutshell, each row becomes three (the original grade plus two graders result)
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- sourceB: sourceB data
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## Data Considerations
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- **Known Limitations**:
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- **Ethical Considerations**:
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## Additional Information
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- **Additional Links**: Main code is [here](https://github.com/kamel-usp/aes_enem)
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- **Related Datasets**: https://github.com/evelinamorim/aes-pt
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