lm1b

• Description:

A benchmark corpus to be used for measuring progress in statistical language modeling. This has almost one billion words in the training data.

• Additional Documentation: Explore on Papers With Code

• Homepage: http://www.statmt.org/lm-benchmark/

• Source code: tfds.datasets.lm1b.Builder

• Versions:

  • 1.1.0 (default): No release notes.

• Download size: 1.67 GiB

• Dataset size: 4.40 GiB

• Auto-cached (documentation): No

• Splits:

Split	Examples
'test'	306,688
'train'	30,301,028

• Feature structure:

FeaturesDict({
    'text': Text(shape=(), dtype=string),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
text	Text		string

• Supervised keys (See as_supervised doc): ('text', 'text')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@article{DBLP:journals/corr/ChelbaMSGBK13,
  author    = {Ciprian Chelba and
               Tomas Mikolov and
               Mike Schuster and
               Qi Ge and
               Thorsten Brants and
               Phillipp Koehn},
  title     = {One Billion Word Benchmark for Measuring Progress in Statistical Language
               Modeling},
  journal   = {CoRR},
  volume    = {abs/1312.3005},
  year      = {2013},
  url       = {http://arxiv.org/abs/1312.3005},
  archivePrefix = {arXiv},
  eprint    = {1312.3005},
  timestamp = {Mon, 13 Aug 2018 16:46:16 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/ChelbaMSGBK13},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}