Code used for sourcing and cleaning the BigScience ROOTS corpus
Source and clean a large dataset for training language models.
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data-preparation has 318 stars on GitHub. It has been forked 43 times. data-preparation is written mainly in Jupyter Notebook. It has been in active development since 2022. data-preparation is available under the Apache-2.0 license. Its main topics are dataset, large-language-models, multilingual.
Code used for sourcing and cleaning the BigScience ROOTS corpus
data-preparation is an open-source project. It is released under the Apache-2.0 license.
Yes. data-preparation is free and open source — you can use, modify and self-host it.
data-preparation is available under the Apache-2.0 license.
data-preparation is written mainly in Jupyter Notebook.
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