This repository contains the full dataset and data annotation tool from our work: EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks The full information and instructions are available at https://github.com/yhua219/edurabsa_dataset_and_annotation_tool The EduRABSA Dataset The EduRABSA dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License. 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). Dataset Information Please visit https://github.com/yhua219/edurabsa_dataset_and_annotation_tool Unannotated 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.[2]: RateMyProfessor Dataset. Big Data Set from RateMyProfessor.com for Professors' Teaching Evaluation. March 2020.[3]: Exeter Reviews. University of Exeter Reviews. June 2023. The ASQE-DPT Annotation Tool ⭐ [NEW in v2 upload, Feb 2026] ASQE-DPT is now upgraded to V1.1 with auto-save (to localStorage) and leave-page alert features. The ASQE-DPT data annotation tool is licensed under a MIT License. ASQE-DPT is a manual ABSA annotation tool that we extended based on the ABSA Dataset Prepare Tool (DPT) (source) for more comprehensive and challenging ABSA tasks. ASQE_DPT is a no-code, no-installation small HTML file that can be used locally and offline to protect data security/privacy. The .zip file contains the annotation tool and real unannotated and annotated data samples. For usage instructions, please visit https://github.com/yhua219/edurabsa_dataset_and_annotation_tool