dolma

• Description:

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

• Homepage: https://github.com/allenai/dolma

• Source code: tfds.datasets.dolma.Builder

• Versions:

  • 1.0.0 (default): Initial release.

• Download size: Unknown size

• Dataset size: 9.61 TiB

• Auto-cached (documentation): No

• Splits:

Split	Examples
'train'	3,403,336,408

• Feature structure:

FeaturesDict({
    'added': Text(shape=(), dtype=string),
    'created': Text(shape=(), dtype=string),
    'id': Text(shape=(), dtype=string),
    'source': Text(shape=(), dtype=string),
    'text': Text(shape=(), dtype=string),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
added	Text		string
created	Text		string
id	Text		string
source	Text		string
text	Text		string

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@article{dolma,
  title = { {Dolma: An Open Corpus of Three Trillion Tokens for Language Model Pretraining Research} },
  author = {
    Luca Soldaini and Rodney Kinney and Akshita Bhagia and Dustin Schwenk and David Atkinson and
    Russell Authur and Ben Bogin and Khyathi Chandu and Jennifer Dumas and Yanai Elazar and
    Valentin Hofmann and Ananya Harsh Jha and Sachin Kumar and Li Lucy and Xinxi Lyu and Ian Magnusson and
    Jacob Morrison and Niklas Muennighoff and Aakanksha Naik and Crystal Nam and Matthew E. Peters and
    Abhilasha Ravichander and Kyle Richardson and Zejiang Shen and Emma Strubell and Nishant Subramani and
    Oyvind Tafjord and Evan Pete Walsh and Hannaneh Hajishirzi and Noah A. Smith and Luke Zettlemoyer and
    Iz Beltagy and Dirk Groeneveld and Jesse Dodge and Kyle Lo
},
  year = {2024},
  journal={arXiv preprint},
}