CITATION.cff

cff-version: 1.2.0
title: 'DataTrove: large scale data processing'
message: >-
  If you use this software, please cite it using the metadata from this file.
type: software
authors:
  - given-names: Guilherme
    family-names: Penedo
  - given-names: Hynek
    family-names: Kydlíček
  - given-names: Alessandro
    family-names: Cappelli
  - given-names: Thomas
    family-names: Wolf
  - given-names: Mario
    family-names: Sasko
repository-code: 'https://github.com/huggingface/datatrove'
abstract: "DataTrove is a library to process, filter and deduplicate text data at a very large scale. It provides a set of prebuilt commonly used processing blocks with a framework to easily add custom functionality. DataTrove processing pipelines are platform-agnostic, running out of the box locally or on a slurm cluster. Its (relatively) low memory usage and multiple step design makes it ideal for large workloads, such as to process an LLM's training data."
keywords:
  - deep-learning
  - pytorch
  - transformers
  - llms
  - data
  - scale
license: Apache-2.0
version: 0.0.1