metadata

tags:
  - ASAG
  - Grading
  - Short Answer Grading
  - SAG
  - Automated Short Answer Grading
  - ASAG2024
  - Automated Short Answer Grading Benchmark
  - Automated Short Answer Grading Dataset
pretty_name: ASAG2024
size_categories:
  - 10K<n<100K

Dataset Card for ASAG2024 (Automated Short Answer Grading Benchmark)

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

Examples

An example on how to use this dataset can be found on GitHub under https://github.com/GeroVanMi/ASAG2024/blob/main/examples/example_weights.ipynb

Dataset Description

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

Citation

If you use this in your works, please cite:

Meyer, Gérôme, Philip Breuer, and Jonathan Fürst. "ASAG2024: A Combined Benchmark for Short Answer Grading." arXiv preprint arXiv:2409.18596 (2024).

@inproceedings{meyer2024asag2024,
  title={ASAG2024: A Combined Benchmark for Short Answer Grading},
  author={Meyer, G{\'e}r{\^o}me and Breuer, Philip and F{\"u}rst, Jonathan},
  booktitle={Proceedings of the 2024 on ACM Virtual Global Computing Education Conference V. 2},
  pages={322--323},
  year={2024}
}

Also please consider citing the original dataset sources listed below:

Dataset Sources

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}
}

Short-Answer Feedback (SAF)

Citation:

A. Filighera, S. Parihar, T. Steuer, T. Meuser, and S. Ochs, ‘Your Answer is Incorrect… Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset’, in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), S. Muresan, P. Nakov, and A. Villavicencio, Eds., Dublin, Ireland: Association for Computational Linguistics, May 2022, pp. 8577–8591. doi: 10.18653/v1/2022.acl-long.587.

BibTex:

@inproceedings{filighera-etal-2022-answer,
    title = "Your Answer is Incorrect... Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset",
    author = "Filighera, Anna  and
      Parihar, Siddharth  and
      Steuer, Tim  and
      Meuser, Tobias  and
      Ochs, Sebastian",
    booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.acl-long.587",
    pages = "8577--8591",
   }

Mohler et al.

BibTex:

@inproceedings{dataset_mohler,
    title = "Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments",
    author = "Mohler, Michael  and
      Bunescu, Razvan  and
      Mihalcea, Rada",
    editor = "Lin, Dekang  and
      Matsumoto, Yuji  and
      Mihalcea, Rada",
    booktitle = "Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2011",
    address = "Portland, Oregon, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P11-1076",
    pages = "752--762",
}

Beetle II

@article{dataset_beetleII,
  title={BEETLE II: Deep natural language understanding and automatic feedback generation for intelligent tutoring in basic electricity and electronics},
  author={Dzikovska, Myroslava and Steinhauser, Natalie and Farrow, Elaine and Moore, Johanna and Campbell, Gwendolyn},
  journal={International Journal of Artificial Intelligence in Education},
  volume={24},
  pages={284--332},
  year={2014},
  publisher={Springer}
}

CU-NLP

@ARTICLE{dataset_cunlp,
  author={Tulu, Cagatay Neftali and Ozkaya, Ozge and Orhan, Umut},
  journal={IEEE Access}, 
  title={Automatic Short Answer Grading With SemSpace Sense Vectors and MaLSTM}, 
  year={2021},
  volume={9},
  number={},
  pages={19270-19280},
  keywords={Semantics;Natural language processing;Benchmark testing;Long short term memory;Deep learning;Task analysis;Learning systems;Automatic short answer grading;MaLSTM;semspace sense vectors;synset based sense embedding;sentence similarity},
  doi={10.1109/ACCESS.2021.3054346}}

  @inproceedings{dataset_scientsbank,
  title={Annotating Students’ Understanding of Science Concepts},
  author={Rodney D. Nielsen and Wayne H. Ward and James H. Martin and Martha Palmer},
  booktitle={International Conference on Language Resources and Evaluation},
  year={2008},
  url={https://api.semanticscholar.org/CorpusID:12938607}
}

[More Information Needed]

Dataset Card Authors

Gérôme Meyer
Philip Breuer

Dataset Card Contact

E-Mail: gerome.meyer@pm.me