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---
license: mit
configs:
- config_name: dataset
data_files: "dataset.csv"
---
# Description
Structural Class Prediction is a multi-class classification task to predict the correct structural class of given protein. This task is is built on the SCOP database.
**Protein Format:** SA sequence (PDB)
# Splits
The dataset is from [**ProteinShake Building datasets and benchmarks for deep learning on protein structures**](https://papers.nips.cc/paper_files/paper/2023/file/b6167294ed3d6fc61e11e1592ce5cb77-Paper-Datasets_and_Benchmarks.pdf). We use the splits based on 70% structure similarity, with the number of training, validation and test set shown below:
- Train: 7990
- Valid: 955
- Test: 1005
# Label
The labels include 3,042 correct structural classes, ranging from 0 to 3,041.
For more details, please refer to [**ProteinShake Building datasets and benchmarks for deep learning on protein structures**](https://papers.nips.cc/paper_files/paper/2023/file/b6167294ed3d6fc61e11e1592ce5cb77-Paper-Datasets_and_Benchmarks.pdf). |