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