Buckets:

---

gmxn

/

GUE-bucket

This is a copy of the Genome Understanding Evaluation (GUE) that was presented in

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome

Zhihan Zhou and Yanrong Ji and Weijian Li and Pratik Dutta and Ramana Davuluri and Han Liu

and is available to download directly from

https://github.com/MAGICS-LAB/DNABERT_2

If you use this dataset, please cite

@misc{zhou2023dnabert2, title={DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome}, author={Zhihan Zhou and Yanrong Ji and Weijian Li and Pratik Dutta and Ramana Davuluri and Han Liu}, year={2023}, eprint={2306.15006}, archivePrefix={arXiv}, primaryClass={q-bio.GN} }

Instructions to Load Dataset in Google Colab

# choose the dataset that you wish to load, ex: prom_core_all
from datasets import load_dataset, get_dataset_config_names
config_names = get_dataset_config_names("leannmlindsey/GUE")
print(config_names)
prom_core_all = load_dataset("leannmlindsey/GUE", name="prom_core_all")
prom_core_all
prom_core_all["train"][0]