Datasets:
metadata
license: cc-by-nc-4.0
task_categories:
- tabular-classification
- graph-ml
- text-classification
tags:
- chemistry
- biology
- medical
pretty_name: LRGB Peptides-func
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: peptides_func.csv
LRGB Peptides-func
Peptides-func (Peptides functional) dataset, part of Long Range Graph Benchmark (LRGB) [1]. It is intended to be used through scikit-fingerprints library.
The task is to predict functional properties of peptides.
Characteristic | Description |
---|---|
Tasks | 10 |
Task type | classification |
Total samples | 15535 |
Recommended split | stratified random |
Recommended metric | AUPRC |
References
[1] Dwivedi, Vijay Prakash, et al. "Long Range Graph Benchmark" Advances in Neural Information Processing Systems 35 (2022): 22326-22340 https://proceedings.neurips.cc/paper_files/paper/2022/hash/8c3c666820ea055a77726d66fc7d447f-Abstract-Datasets_and_Benchmarks.html