Citation Request: Please include this citation if you plan to use this database: Kavita Ganesan, ChengXiang Zhai, Jiawei Han. Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010). Beijing, China. 1. Title: Opinosis Opinion / Review 2. Sources Created by: Kavita Ganesan, University of Illinois at Urbana-Champaign 3. Relevant Information: 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 the average). The reviews were obtained from various sources - Tripadvisor (hotels), Edmunds.com (cars) and Amazon.com (various electronics). The dataset file also comes with gold standard summaries used for the Opinosis summarization paper (see relevant papers). 5. Number of Instances: 51