Update README.md

README.md

@@ -1,36 +1,36 @@
----
-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:**
-
-**···**	
-
+---
+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://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: 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:**
+
+**···**	
+