Datasets:
Tasks:
Text2Text Generation
Formats:
parquet
Languages:
English
Size:
10M - 100M
ArXiv:
Tags:
sentence-fusion
License:
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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
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: 6.04 GB
- Size of the generated dataset: 21.55 GB
- Total amount of disk used: 27.59 GB
Dataset Summary
DiscoFuse is a large scale dataset for discourse-based sentence fusion.
Supported Tasks and Leaderboards
Languages
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
: astring
feature.discourse_type
: astring
feature.coherent_second_sentence
: astring
feature.has_coref_type_pronoun
: afloat32
feature.incoherent_first_sentence
: astring
feature.incoherent_second_sentence
: astring
feature.has_coref_type_nominal
: afloat32
feature.coherent_first_sentence
: astring
feature.
discofuse-wikipedia
connective_string
: astring
feature.discourse_type
: astring
feature.coherent_second_sentence
: astring
feature.has_coref_type_pronoun
: afloat32
feature.incoherent_first_sentence
: astring
feature.incoherent_second_sentence
: astring
feature.has_coref_type_nominal
: afloat32
feature.coherent_first_sentence
: astring
feature.
Data Splits
name | train | validation | test |
---|---|---|---|
discofuse-sport | 43291020 | 440902 | 445521 |
discofuse-wikipedia | 16310585 | 168081 | 163657 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
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
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.