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+test/data.mdb filter=lfs diff=lfs merge=lfs -text
+train/data.mdb filter=lfs diff=lfs merge=lfs -text
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README.md

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 ---
 license: mit
 ---
+# Description
+Structure Similarity Prediction predicts the (aligned) Local Distance Difference Test (LDDT) of the structures given an unaligned pair of proteins. Target values are computed after alignment with TM-align for all pairs of 1000 randomly sampled single-chain proteins.
+
+# Splits
+
+**Structure type:** PDB
+
+The dataset is from [**ProteinShake Building datasets and benchmarks for deep learning on protein structures**](https://academic.oup.com/bioinformatics/article/33/21/3387/3931857). We use the splits based on 70% structure similarity, with the number of training, validation and test set shown below:
+
+- Train: 300699
+- Valid: 4559
+- Test:  4850
+
+# Data format
+
+We organize all data in LMDB format. The architecture of the databse is like:
+
+**length:** The number of samples
+
+**0:** 
+
+- **name_1:** The PDB ID of the protein 1
+- **name_2:** The PDB ID of the protein 2
+- **chain_1:** The chain ID of the protein 1
+- **chain_2:** The chain ID of the protein 2
+- **seq_1:** The structure-aware sequence 1
+- **seq_2:** The structure-aware sequence 2
+- **label:** Similarity value of the pair of proteins
+
+**1:**
+
+**···**	
+

test/data.mdb

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train/data.mdb

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valid/data.mdb

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