README.md

---
tags:
- ASAG
- Grading
pretty_name: ASAG2024
size_categories:
- 10K<n<100K
---

# Dataset Card for ASAG2024

<!-- Provide a quick summary of the dataset. -->

This is the combined ASAG2024 dataset which consists of various automated grading datasets containing questions, reference answers, provided (student) answers and human grades. 

## Dataset Details

### Dataset Description

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- **Curated by:** Gérôme Meyer
- **Language(s) (NLP):** English
- **License:** Data Source Licenses apply (see below)

### Dataset Sources [optional]

This dataset was collected from the sources listed below. If you use this in your work, please make sure to cite the original authors. 

#### Stita
Repository: https://github.com/edgresearch/dataset-automaticgrading-2022/tree/master

Citation: 
```
del Gobbo, E., Guarino, A., Cafarelli, B. et al. GradeAid: a framework for automatic short answers grading in educational contexts—design, implementation and evaluation. _Knowl Inf Syst_ 65, 4295–4334 (2023). https://doi.org/10.1007/s10115-023-01892-9
```

BibTex: 
```
@Article{delGobbo2023,
  author={del Gobbo, Emiliano
  and Guarino, Alfonso
  and Cafarelli, Barbara
  and Grilli, Luca},
  title={GradeAid: a framework for automatic short answers grading in educational contexts---design, implementation and evaluation},
  journal={Knowledge and Information Systems},
  year={2023},
  month={Oct},
  day={01},
  volume={65},
  number={10},
  pages={4295-4334},
  issn={0219-3116},
  doi={10.1007/s10115-023-01892-9},
  url={https://doi.org/10.1007/s10115-023-01892-9}
}
```


<!-- ## Dataset Structure -->

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## Dataset Creation

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<!-- ### Source Data -->

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<!-- ## Citation [optional] -->

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## Dataset Card Authors

- Gérôme Meyer
- Philip Breuer

## Dataset Card Contact

- E-Mail: [email protected]