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---
license: mit
---
# 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.
# Splits
**Structure type:** PDB
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
# Data format
We organize all data in LMDB format. The architecture of the databse is like:
**length:** The number of samples
**0:**
- **name:** The PDB ID of the protein
- **chain:** The chain ID of the protein
- **seq:** The structure-aware sequence
- **plddt**: pLDDT values at all positions
- **label:** classification label of the sequence
**1:**
**···** |