The data loader package is a Python implementation of the Behaverse Data, enabling seamless access to behavioral datasets in Python.
To install the package, you can use pip:
pip install behaverse-data-loaderSee the Behaverse website for more information on how to use the package.
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Before starting development, you need to install the dependencies. You can do this by creating a new conda environment as defined in the environment.yml file:
mamba env create -f environment.yml
mamba activate behaverseTo generate documentations and API reference, run the following commands from the main directory of the project:
cd docs
quartodoc build && quartodoc interlinks && quarto previewThe documentation will be available in the docs/_site/ directory.
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