Description:
This dataset contains sentences extracted from user reviews on a given topic. Example topics are “performance of Toyota Camry” and “sound quality of ipod nano”, etc. In total there are 51 such topics with each topic having approximately 100 sentences (on average). The reviews were obtained from various sources – Tripadvisor (hotels), Edmunds.com (cars) and Amazon.com (various electronics). This dataset was used for the following automatic text summarization project .
The dataset file also comes with gold standard summaries used for the summarization paper listed above. I have also provided some scripts to help with the summarization/evaluation tasks using ROUGE. Detailed information about the dataset and the list of scripts is provided in the documentation.
Please send me an email if you have any questions regarding this dataset.
Downloads
- Opinosis Dataset – contains review / opinion sentences, gold standard summaries, scripts for ROUGE, documentation
- Opinosis Dataset Documentation
- Opinosis Dataset as a Tensorflow Dataset (see: usage examples)
Citing Dataset
If you use this dataset for your own research please cite the following paper to mark the dataset:
@inproceedings{ganesan2010opinosis,
title={Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions},
author={Ganesan, Kavita and Zhai, ChengXiang and Han, Jiawei},
booktitle={Proceedings of the 23rd International Conference on Computational Linguistics},
pages={340--348},
year={2010},
organization={Association for Computational Linguistics}
}
License
The license for this dataset can be found here.