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metadata
annotations_creators:
  - machine-generated
language_creators:
  - found
language:
  - en
license:
  - cc-by-sa-3.0
multilinguality:
  - monolingual
size_categories:
  - 10M<n<100M
source_datasets:
  - original
task_categories:
  - text2text-generation
task_ids: []
paperswithcode_id: discofuse
pretty_name: DiscoFuse
tags:
  - sentence-fusion
dataset_info:
  - config_name: discofuse-sport
    features:
      - name: connective_string
        dtype: string
      - name: discourse_type
        dtype: string
      - name: coherent_second_sentence
        dtype: string
      - name: has_coref_type_pronoun
        dtype: float32
      - name: incoherent_first_sentence
        dtype: string
      - name: incoherent_second_sentence
        dtype: string
      - name: has_coref_type_nominal
        dtype: float32
      - name: coherent_first_sentence
        dtype: string
    splits:
      - name: train
        num_bytes: 14736176073
        num_examples: 43291020
      - name: test
        num_bytes: 151655243
        num_examples: 445521
      - name: validation
        num_bytes: 150206657
        num_examples: 440902
    download_size: 9422142544
    dataset_size: 15038037973
  - config_name: discofuse-wikipedia
    features:
      - name: connective_string
        dtype: string
      - name: discourse_type
        dtype: string
      - name: coherent_second_sentence
        dtype: string
      - name: has_coref_type_pronoun
        dtype: float32
      - name: incoherent_first_sentence
        dtype: string
      - name: incoherent_second_sentence
        dtype: string
      - name: has_coref_type_nominal
        dtype: float32
      - name: coherent_first_sentence
        dtype: string
    splits:
      - name: train
        num_bytes: 6377885028
        num_examples: 16310585
      - name: test
        num_bytes: 64007750
        num_examples: 163657
      - name: validation
        num_bytes: 65681627
        num_examples: 168081
    download_size: 3929336540
    dataset_size: 6507574405
configs:
  - config_name: discofuse-sport
    data_files:
      - split: train
        path: discofuse-sport/train-*
      - split: test
        path: discofuse-sport/test-*
      - split: validation
        path: discofuse-sport/validation-*
  - config_name: discofuse-wikipedia
    data_files:
      - split: train
        path: discofuse-wikipedia/train-*
      - split: test
        path: discofuse-wikipedia/test-*
      - split: validation
        path: discofuse-wikipedia/validation-*

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

Data Instances

discofuse-sport

  • Size of downloaded dataset files: 4.33 GB
  • Size of the generated dataset: 15.04 GB
  • Total amount of disk used: 19.36 GB

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: 1.72 GB
  • Size of the generated dataset: 6.51 GB
  • Total amount of disk used: 8.23 GB

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.