Dataset:



Dataset Card for "newsroom"

Dataset Summary

NEWSROOM is a large dataset for training and evaluating summarization systems. It contains 1.3 million articles and summaries written by authors and editors in the newsrooms of 38 major publications.

Dataset features includes:

  • text: Input news text.
  • summary: Summary for the news. And additional features:
  • title: news title.
  • url: url of the news.
  • date: date of the article.
  • density: extractive density.
  • coverage: extractive coverage.
  • compression: compression ratio.
  • density_bin: low, medium, high.
  • coverage_bin: extractive, abstractive.
  • compression_bin: low, medium, high.

This dataset can be downloaded upon requests. Unzip all the contents "train.jsonl, dev.josnl, test.jsonl" to the tfds folder.

Supported Tasks

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Languages

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Dataset Structure

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

Data Instances

default

  • Size of downloaded dataset files: 0.00 MB
  • Size of the generated dataset: 5057.49 MB
  • Total amount of disk used: 5057.49 MB

An example of 'train' looks as follows.

{
    "compression": 33.880001068115234,
    "compression_bin": "medium",
    "coverage": 1.0,
    "coverage_bin": "high",
    "date": "200600000",
    "density": 11.720000267028809,
    "density_bin": "extractive",
    "summary": "some summary 1",
    "text": "some text 1",
    "title": "news title 1",
    "url": "url.html"
}

Data Fields

The data fields are the same among all splits.

default

  • text: a string feature.
  • summary: a string feature.
  • title: a string feature.
  • url: a string feature.
  • date: a string feature.
  • density_bin: a string feature.
  • coverage_bin: a string feature.
  • compression_bin: a string feature.
  • density: a float32 feature.
  • coverage: a float32 feature.
  • compression: a float32 feature.

Data Splits Sample Size

name train validation test
default 995041 108837 108862

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{N18-1065,
  author    = {Grusky, Max and Naaman, Mor and Artzi, Yoav},
  title     = {NEWSROOM: A Dataset of 1.3 Million Summaries
               with Diverse Extractive Strategies},
  booktitle = {Proceedings of the 2018 Conference of the
               North American Chapter of the Association for
               Computational Linguistics: Human Language Technologies},
  year      = {2018},
}

Contributions

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

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