README.md

metadata

annotations_creators:
  - machine-generated
language:
  - en
language_creators:
  - found
license:
  - cc-by-4.0
multilinguality:
  - monolingual
pretty_name: WikiSplit
size_categories:
  - 100K<n<1M
source_datasets:
  - original
task_categories:
  - text2text-generation
task_ids: []
paperswithcode_id: wikisplit
tags:
  - split-and-rephrase
dataset_info:
  features:
    - name: complex_sentence
      dtype: string
    - name: simple_sentence_1
      dtype: string
    - name: simple_sentence_2
      dtype: string
  splits:
    - name: test
      num_bytes: 1949294
      num_examples: 5000
    - name: train
      num_bytes: 384513073
      num_examples: 989944
    - name: validation
      num_bytes: 1935459
      num_examples: 5000
  download_size: 100279164
  dataset_size: 388397826

Dataset Card for "wiki_split"

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: https://dataset-homepage/
• Repository: https://github.com/google-research-datasets/wiki-split
• Paper: Learning To Split and Rephrase From Wikipedia Edit History
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 100.28 MB
• Size of the generated dataset: 388.40 MB
• Total amount of disk used: 488.68 MB

Dataset Summary

One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia Google's WikiSplit dataset was constructed automatically from the publicly available Wikipedia revision history. Although the dataset contains some inherent noise, it can serve as valuable training data for models that split or merge sentences.

Supported Tasks and Leaderboards

• Split and Rephrase

Languages

More Information Needed

Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 100.28 MB
• Size of the generated dataset: 388.40 MB
• Total amount of disk used: 488.68 MB

An example of 'train' looks as follows.

{
    "complex_sentence": " '' As she translates from one language to another , she tries to find the appropriate wording and context in English that would correspond to the work in Spanish her poems and stories started to have differing meanings in their respective languages .",
    "simple_sentence_1": "' '' As she translates from one language to another , she tries to find the appropriate wording and context in English that would correspond to the work in Spanish . ",
    "simple_sentence_2": " Ergo , her poems and stories started to have differing meanings in their respective languages ."
}

Data Fields

The data fields are the same among all splits.

default

• complex_sentence: a string feature.
• simple_sentence_1: a string feature.
• simple_sentence_2: a string feature.

Data Splits

name	train	validation	test
default	989944	5000	5000

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 WikiSplit dataset is a verbatim copy of certain content from the publicly available Wikipedia revision history. The dataset is therefore licensed under CC BY-SA 4.0. Any third party content or data is provided "As Is" without any warranty, express or implied.

Citation Information

@inproceedings{botha-etal-2018-learning,
    title = "Learning To Split and Rephrase From {W}ikipedia Edit History",
    author = "Botha, Jan A.  and
      Faruqui, Manaal  and
      Alex, John  and
      Baldridge, Jason  and
      Das, Dipanjan",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
    month = oct # "-" # nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D18-1080",
    doi = "10.18653/v1/D18-1080",
    pages = "732--737",
}

Contributions

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