Datasets:
ArXiv:
License:
|
Download README.md from tim10086/scLibrary: direct link, hf CLI and curl.
- Browser
- Download file 965 Bytes
-
https://huggingface.co/datasets/tim10086/scLibrary/resolve/main/README.md
- Command line
-
hf download hf://datasets/tim10086/scLibrary/README.md
-
curl -L -o README.md https://huggingface.co/datasets/tim10086/scLibrary/resolve/main/README.md
965 Bytes
metadata
license: mit
The dataset scLibrary is the pre-training dataset used by the LangCell model.
You can use git-lfs to download sclibrary.dataset from this repository, and then use the following code to load the data:
from datasets import load_from_disk
sclibrary=load_from_disk("/path/to/sclibrary.dataset")
Model github: https://github.com/PharMolix/LangCell
Paper: https://arxiv.org/abs/2405.06708
Citation
If you find scLibrary helpful to your research, please consider giving our Github repository a 🌟star and 📎citing the following article. Thank you for your support!
@misc{zhao2024langcell,
title={LangCell: Language-Cell Pre-training for Cell Identity Understanding},
author={Suyuan Zhao and Jiahuan Zhang and Yizhen Luo and Yushuai Wu and Zaiqing Nie},
year={2024},
eprint={2405.06708},
archivePrefix={arXiv},
primaryClass={q-bio.GN}
}