
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.
If you use this software, please cite it using the metadata from this file.
scale, data, pytorch, transformers, llms, deep-learning
scale, data, pytorch, transformers, llms, deep-learning
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