๐ PRIOR
A Python Package for Seamless Data Distribution in AI Workflows
Installation
Install the prior
package with pip:
pip install prior
Datasets
- ProcTHOR-10k [GitHub]
import prior
prior.load_dataset("procthor-10k")
- Object Nav Evaluation [GitHub]
import prior
prior.load_dataset("object-nav-eval")
Models
- ProcTHOR Models [GitHub]
import prior
prior.load_model(project="procthor-models", model="object-nav-pretraining")
Example Usage
To use a public Python dataset, simply run:
import prior
dataset = prior.load_dataset("test-dataset", entity="mattdeitke", revision="main")
Here, revision
can be either a tag, branch, or commit hash.
Private Datasets
If you want to use a private dataset, make sure you're either:
- Already logged into GitHub from the command line, and able to pull a private repo.
- Set the GITHUB_TOKEN environment variable to a GitHub authentication token with read access to private repositories (e.g.,
export GITHUB_TOKEN=<token>
). You can generate a GitHub authentication token here. - Set the
gh_auth_token
global variable in theprior
package with:
import prior
prior.gh_auth_token = "<token>"
Citation
To cite the PRIOR package, please use:
@software{prior,
author={Matt Deitke and Aniruddha Kembhavi and Luca Weihs},
doi={10.5281/zenodo.7072830},
title={{PRIOR: A Python Package for Seamless Data Distribution in AI Workflows}},
url={https://github.com/allenai/prior},
year={2022}
}