irc_disentanglement

• Description:

IRC Disentanglement dataset contains over 77,563 messages from Ubuntu IRC channel.

Features include message id, message text and timestamp. Target is list of messages that current message replies to. Each record contains a list of messages from one day of IRC chat.

• Additional Documentation: Explore on Papers With Code

• Homepage: https://jkk.name/irc-disentanglement

• Source code: tfds.datasets.irc_disentanglement.Builder

• Versions:

  • 2.0.0 (default): No release notes.

• Download size: 113.53 MiB

• Dataset size: 26.59 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'test'	10
'train'	153
'validation'	10

• Feature structure:

FeaturesDict({
    'day': Sequence({
        'id': Text(shape=(), dtype=string),
        'parents': Sequence(Text(shape=(), dtype=string)),
        'text': Text(shape=(), dtype=string),
        'timestamp': Text(shape=(), dtype=string),
    }),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
day	Sequence
day/id	Text		string
day/parents	Sequence(Text)	(None,)	string
day/text	Text		string
day/timestamp	Text		string

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@InProceedings{acl19disentangle,
  author    = {Jonathan K. Kummerfeld and Sai R. Gouravajhala and Joseph Peper and Vignesh Athreya and Chulaka Gunasekara and Jatin Ganhotra and Siva Sankalp Patel and Lazaros Polymenakos and Walter S. Lasecki},
  title     = {A Large-Scale Corpus for Conversation Disentanglement},
  booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  location  = {Florence, Italy},
  month     = {July},
  year      = {2019},
  doi       = {10.18653/v1/P19-1374},
  pages     = {3846--3856},
  url       = {https://aclweb.org/anthology/papers/P/P19/P19-1374/},
  arxiv     = {https://arxiv.org/abs/1810.11118},
  software  = {https://jkk.name/irc-disentanglement},
  data      = {https://jkk.name/irc-disentanglement},
}