V1.0

README.md

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----
-license: cc-by-nc-4.0
----
+---
+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

dataset_dict.json

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+{"splits": ["train", "test"]}

test/data-00000-of-00001.arrow

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test/dataset_info.json

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+{
+  "citation": "@misc{hua2025edurabsaeducationreviewdataset,\n      title={EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks}, \n      author={Yan Cathy Hua and Paul Denny and J\u00f6rg Wicker and Katerina Taskova},\n      year={2025},\n      eprint={2508.17008},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL},\n      url={https://arxiv.org/abs/2508.17008}}",
+  "description": "Education (student) review dataset for the AOPE subtask of aspect-based sentiment analysis",
+  "features": {
+    "id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "task_type": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "original_id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "output": [
+      {
+        "aspect": {
+          "dtype": "string",
+          "_type": "Value"
+        },
+        "opinion": {
+          "dtype": "string",
+          "_type": "Value"
+        }
+      }
+    ]
+  },
+  "homepage": "https://github.com/yhua219/edurabsa_dataset_and_annotation_tool",
+  "license": "CC-BY-NC-4.0"
+}

test/state.json

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+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
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+  "_format_kwargs": {},
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+}

train/data-00000-of-00001.arrow

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train/dataset_info.json

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+{
+  "citation": "@misc{hua2025edurabsaeducationreviewdataset,\n      title={EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks}, \n      author={Yan Cathy Hua and Paul Denny and J\u00f6rg Wicker and Katerina Taskova},\n      year={2025},\n      eprint={2508.17008},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL},\n      url={https://arxiv.org/abs/2508.17008}}",
+  "description": "Education (student) review dataset for the AOPE subtask of aspect-based sentiment analysis",
+  "features": {
+    "id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "task_type": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "original_id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "output": [
+      {
+        "aspect": {
+          "dtype": "string",
+          "_type": "Value"
+        },
+        "opinion": {
+          "dtype": "string",
+          "_type": "Value"
+        }
+      }
+    ]
+  },
+  "homepage": "https://github.com/yhua219/edurabsa_dataset_and_annotation_tool",
+  "license": "CC-BY-NC-4.0"
+}

train/state.json

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+{
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+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
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+  "_format_kwargs": {},
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+}