--- 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 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](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). ```bibtex @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