README.md

metadata

annotations_creators:
  - machine-generated
language:
  - en
language_creators:
  - found
license:
  - cc-by-sa-3.0
multilinguality:
  - monolingual
pretty_name: DiscoFuse
size_categories:
  - 10M<n<100M
source_datasets:
  - original
task_categories:
  - text2text-generation
task_ids: []
paperswithcode_id: discofuse
tags:
  - sentence-fusion

Dataset Card for "discofuse"

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

• Repository: https://github.com/google-research-datasets/discofuse
• Paper: DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 5764.06 MB
• Size of the generated dataset: 20547.64 MB
• Total amount of disk used: 26311.70 MB

Dataset Summary

DiscoFuse is a large scale dataset for discourse-based sentence fusion.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

discofuse-sport

• Size of downloaded dataset files: 4126.20 MB
• Size of the generated dataset: 14341.49 MB
• Total amount of disk used: 18467.70 MB

An example of 'train' looks as follows.

{
    "coherent_first_sentence": "Four LPr and three LC2000r HP Netservers handle customer management and web server functions .",
    "coherent_second_sentence": "Finally , an HP Netserver LT6000r hosts i2 Demand Planner and i2 Collaboration Planner .",
    "connective_string": "finally ,",
    "discourse_type": "PAIR_CONN",
    "has_coref_type_nominal": 0.0,
    "has_coref_type_pronoun": 0.0,
    "incoherent_first_sentence": "Four LPr and three LC2000r HP Netservers handle customer management and web server functions .",
    "incoherent_second_sentence": "An HP Netserver LT6000r hosts i2 Demand Planner and i2 Collaboration Planner ."
}

discofuse-wikipedia

• Size of downloaded dataset files: 1637.86 MB
• Size of the generated dataset: 6206.14 MB
• Total amount of disk used: 7844.01 MB

An example of 'validation' looks as follows.

{
    "coherent_first_sentence": "Four LPr and three LC2000r HP Netservers handle customer management and web server functions .",
    "coherent_second_sentence": "Finally , an HP Netserver LT6000r hosts i2 Demand Planner and i2 Collaboration Planner .",
    "connective_string": "finally ,",
    "discourse_type": "PAIR_CONN",
    "has_coref_type_nominal": 0.0,
    "has_coref_type_pronoun": 0.0,
    "incoherent_first_sentence": "Four LPr and three LC2000r HP Netservers handle customer management and web server functions .",
    "incoherent_second_sentence": "An HP Netserver LT6000r hosts i2 Demand Planner and i2 Collaboration Planner ."
}

Data Fields

The data fields are the same among all splits.

discofuse-sport

• connective_string: a string feature.
• discourse_type: a string feature.
• coherent_second_sentence: a string feature.
• has_coref_type_pronoun: a float32 feature.
• incoherent_first_sentence: a string feature.
• incoherent_second_sentence: a string feature.
• has_coref_type_nominal: a float32 feature.
• coherent_first_sentence: a string feature.

discofuse-wikipedia

• connective_string: a string feature.
• discourse_type: a string feature.
• coherent_second_sentence: a string feature.
• has_coref_type_pronoun: a float32 feature.
• incoherent_first_sentence: a string feature.
• incoherent_second_sentence: a string feature.
• has_coref_type_nominal: a float32 feature.
• coherent_first_sentence: a string feature.

Data Splits

name	train	validation	test
discofuse-sport	43291020	440902	445521
discofuse-wikipedia	16310585	168081	163657

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 data is licensed under Creative Commons Attribution-ShareAlike 3.0 license.

Citation Information

@InProceedings{GevaEtAl2019,
  title = {DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion},
  author = {Geva, Mor and Malmi, Eric and Szpektor, Idan and Berant, Jonathan},
  booktitle = {Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics},
  note = {arXiv preprint arXiv:1902.10526},
  year = {2019}
}

Contributions

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