| | --- |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: "train/*.arrow" |
| | - split: test |
| | path: "test/*.arrow" |
| | --- |
| | |
| | [![CC BY-NC-SA 4.0][cc-by-nc-sa-shield]][cc-by-nc-sa]   [![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa] |
| |
|
| | The **EduRABSA dataset** is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa]. |
| |
|
| | [cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/ |
| | [cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png |
| | [cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg |
| |
|
| |
|
| | # EduRABSA_ACD |
| | |
| | This dataset is a version of the EduRABSA dataset formatted for the **ACD / AOC (Aspect Category Detection / Aspect-opinion Categorisation)** subtask. |
| | |
| | Full details about the dataset are available in our paper [**EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks**]( |
| | https://arxiv.org/abs/2508.17008 |
| | ) |
| | |
| | To cite this dataset: |
| | ``` |
| | @misc{hua2025edurabsaeducationreviewdataset, |
| | title={EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks}, |
| | author={Yan Cathy Hua and Paul Denny and Jörg Wicker and Katerina Taskova}, |
| | year={2025}, |
| | eprint={2508.17008}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.CL}, |
| | url={https://arxiv.org/abs/2508.17008}, |
| | } |
| | ``` |
| | |
| | |
| | ## Dataset Overview |
| | |
| | **Education Review ABSA (EduRABSA)** is a manually annotated student review text dataset for multiple Aspect-based Sentiment Analysis tasks, including: |
| | * Aspect-(opinion-category)-Sentiment Quadruplet Extraction (ASQE) |
| | * Aspect-(opinion)-Sentiment Triplet Extraction (ASTE) |
| | * Aspect Sentiment Classification (ASC; a.k.a. Aspect Polarity Classification; APC) |
| | * Aspect Category Detection (ACD) / Aspect-opinion Categorisation (AOC) |
| | * Aspect-Opinion Pair-Extraction (AOPE) |
| | * Aspect Extraction (AE) |
| | * Opinion Extraction (OE) |
| | |
| | The dataset consists of 6,500 pieces of stratified samples of public tertiary student review text in the English language released in 2020-2023 on courses ("course review", N=3,000), teaching staff ("teacher review", N=3,000), and university ("university review", N=500). |
| | |
| | ## Details & Instructions |
| | |
| | |
| | ## Dataset Source |
| | |
| | | **Review Type** | **Dataset Name** | **Publish Year** | **Licence** | **Total Entries** | **Sampled (N=6,500)** | |
| | |-------------------|------------------------------------------------------------------------------------------------------------------|------------------|--------------------------|-------------------|------------------------| |
| | | Course review | Course Reviews University of Waterloo [1] | October 2022 | CC0: Public Domain | 14,810 | 3,000 | |
| | | Teacher review | Big Data Set from RateMyProfessor.com for Professors' Teaching Evaluation [2] | March 2020 | CC BY 4.0 | 19,145 | 3,000 | |
| | | University review | University of Exeter Reviews [3] | June 2023 | CC0: Public Domain | 557 | 500 | |
| | |
| | [1]: [Waterloo Course Reviews. *Course Reviews University of Waterloo*. October 2022](https://www.kaggle.com/datasets/anthonysusevski/course-reviews-university-of-waterloo). |
| | [2]: [RateMyProfessor Dataset. *Big Data Set from RateMyProfessor.com for Professors' Teaching Evaluation*. March 2020](https://data.mendeley.com/datasets/fvtfjyvw7d/2). |
| | [3]: [Exeter Reviews. *University of Exeter Reviews*. June 2023](https://www.kaggle.com/datasets/rohitpawar1/university-of-exeter-reviews). |
| | |
| | |
| | ## Sampling & Annotation Info |
| | For sampling and annotation details, please visit the full repository: https://github.com/yhua219/edurabsa_dataset_and_annotation_tool |
