---
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).