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| license: mit |
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| # 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. |
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| # Splits |
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| **Structure type:** PDB |
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| 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: |
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| - Train: 7990 |
| - Valid: 955 |
| - Test: 1005 |
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| # Data format |
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| We organize all data in LMDB format. The architecture of the databse is like: |
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| **length:** The number of samples |
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| **0:** |
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| - **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 |
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| **1:** |
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| **···** |
