opinosis

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  • Description:

The Opinosis Opinion Dataset consists of sentences extracted from reviews for 51 topics. Topics and opinions are obtained from Tripadvisor, Edmunds.com and Amazon.com.

Split Examples
'train' 51
  • Feature structure:
FeaturesDict({
    'review_sents': Text(shape=(), dtype=tf.string),
    'summaries': Sequence(Text(shape=(), dtype=tf.string)),
})
  • Feature documentation:
Feature Class Shape Dtype Description
FeaturesDict
review_sents Text tf.string
summaries Sequence(Text) (None,) tf.string
  • Citation:
@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}
}