CorpusLoaders is a Julia package that provides a variety of loaders for different natural language processing (NLP) corpora, maintained by JuliaText and hosted on GitHub. It simplifies accessing and loading diverse NLP datasets for research and development use cases.
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A hub of integrations for LlamaIndex including data loaders, tools, vector databases, LLMs and more.
astroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, matplotlib and astropy, distributed under the 3-clause BSD license. It provides statistical and machine learning routines for analyzing astronomical data, loaders for open astronomical datasets, and examples of analyzing and visualizing datasets. The project was started in 2012 to accompany a textbook on statistics, data mining and machine learning in astronomy.
TorchText provides models, data loaders and abstractions for language processing, powered by PyTorch. The library includes dataset iterators, basic NLP building blocks, text-processing transformations, pre-trained models and vocabulary classes. The repository was archived by its owner on Sep 10, 2025, and is now read-only; development is stopped with 0.18 the last stable release.