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---
configs:
- config_name: default
data_files:
- split: train
path: "train/*.arrow"
- split: test
path: "test/*.arrow"
---
[![CC BY 4.0][cc-by-shield]][cc-by]
The **EduRABSA dataset** is licensed under a
[Creative Commons Attribution 4.0 International License][cc-by].
[cc-by]: http://creativecommons.org/licenses/by/4.0/
[cc-by-image]: https://i.creativecommons.org/l/by/4.0/88x31.png
[cc-by-shield]: https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg
# EduRABSA_AOPE
This dataset is a version of the EduRABSA dataset formatted for the **AOPE (Aspect-opinion Pair Extraction)** 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 |