samsum

• Description:

SAMSum Corpus contains over 16k chat dialogues with manually annotated summaries.

There are two features:

• dialogue: text of dialogue.
• summary: human written summary of the dialogue.

• id: id of an example.

• Additional Documentation: Explore on Papers With Code north_east

• Homepage: https://arxiv.org/src/1911.12237v2/anc

• Source code: tfds.datasets.samsum.Builder

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: Unknown size

• Dataset size: 10.71 MiB

• Manual download instructions: This dataset requires you to download the source data manually into download_config.manual_dir (defaults to ~/tensorflow_datasets/downloads/manual/):
  Download https://arxiv.org/src/1911.12237v2/anc/corpus.7z, decompress and place train.json, val.json and test.json in the manual follder.

• Auto-cached (documentation): Yes

• Splits:

• Feature structure:

FeaturesDict({
    'dialogue': Text(shape=(), dtype=string),
    'id': Text(shape=(), dtype=string),
    'summary': Text(shape=(), dtype=string),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): ('dialogue', 'summary')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@article{gliwa2019samsum,
  title={SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization},
  author={Gliwa, Bogdan and Mochol, Iwona and Biesek, Maciej and Wawer, Aleksander},
  journal={arXiv preprint arXiv:1911.12237},
  year={2019}
}