README.md

metadata

annotations_creators:
  - crowdsourced
language:
  - en
language_creators:
  - found
license:
  - apache-2.0
multilinguality:
  - monolingual
pretty_name: Opinosis
size_categories:
  - n<1K
source_datasets:
  - original
task_categories:
  - summarization
task_ids: []
paperswithcode_id: opinosis
tags:
  - abstractive-summarization
dataset_info:
  features:
    - name: review_sents
      dtype: string
    - name: summaries
      sequence: string
  splits:
    - name: train
      num_bytes: 741270
      num_examples: 51
  download_size: 757398
  dataset_size: 741270

Dataset Card for "opinosis"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: http://kavita-ganesan.com/opinosis-opinion-dataset/
• Repository: https://github.com/kavgan/opinosis-summarization
• Paper: Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions
• Point of Contact: Kavita Ganesan
• Size of downloaded dataset files: 0.75 MB
• Size of the generated dataset: 0.74 MB
• Total amount of disk used: 1.50 MB

Dataset Summary

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.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 0.75 MB
• Size of the generated dataset: 0.74 MB
• Total amount of disk used: 1.50 MB

An example of 'train' looks as follows.

{
    "review_sents": "This is a fake topic. \nThe topics have multiple sentence inputs. \n",
    "summaries": ["This is a gold summary for topic 1. \nSentences in gold summaries are separated by newlines.", "This is another gold summary for topic 1. \nSentences in gold summaries are separated by newlines."]
}

Data Fields

The data fields are the same among all splits.

default

• review_sents: a string feature.
• summaries: a list of string features.

Data Splits

name	train
default	51

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

The license for this dataset is Apache License 2.0 and can be found here.

Citation Information

@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}
}

Contributions

Thanks to @thomwolf, @patrickvonplaten for adding this dataset.