Dataset for paper "Towards Explainable NLP: A Generative Explanation Framework for Text Classification"

###Datasets This repository contains two datasets used in the paper "Towards Explainable NLP: A Generative Explanation Framework for Text Classification". You may download both of the two datasets from here

• PCMag Review Dataset This dataset is crawled from the website PCMag. It is a website providing reviews for electronic products, like laptops, smartphones, cameras and so on. Each item in the dataset consists of three parts: a long review text, three short comments, and an overall rating score for the product.

  • Three short comments are summaries of the long review respectively from positive, negative, neutral perspectives.
  • An overall rating score is a number ranging from 0 to 5, and the possible values that the score could be are {1.0, 1.5, 2.0, ..., 5.0}.

• Skytrax User Reviews Dataset This dataset we used in our paper is adapted from the original version. Each item in this dataset consists of three parts: a review text, five sub-field scores and an overall rating score.

  • The five sub-field scores respectively stand for the user’s ratings for seat comfortability, cabin stuff, food, in-flight environment, and ticket value, and each score is an integer between 0 and 5.
  • The overall score is an integer between 1 and 10.

Reference

@inproceedings{liu-etal-2019-towards-explainable,
    title = "Towards Explainable {NLP}: A Generative Explanation Framework for Text Classification",
    author = "Liu, Hui  and
      Yin, Qingyu  and
      Wang, William Yang",
    booktitle = "Proceedings of the 57th Conference of the Association for Computational Linguistics",
    month = jul,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/P19-1560",
    pages = "5570--5581",
}