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paperswithcode_id: discofuse

Dataset Card for "discofuse"

Table of Contents

Dataset Description

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

We show detailed information for up to 5 configurations of the dataset.

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

More Information Needed

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.