Dataset:



Dataset Card for "wiki_split"

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

More Information Needed

Languages

More Information Needed

Dataset Structure

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

Data Instances

default

  • Size of downloaded dataset files: 95.63 MB
  • Size of the generated dataset: 370.41 MB
  • Total amount of disk used: 466.04 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 Sample Size

name train validation test
default 989944 5000 5000

Dataset Creation

Curation Rationale

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Source Data

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Annotations

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@InProceedings{BothaEtAl2018,
  title = {{Learning To Split and Rephrase From Wikipedia 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},
  pages = {to appear},
  note = {arXiv preprint arXiv:1808.09468},
  year = {2018}
}

Contributions

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

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