Update README.md

README.md

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----
-license: mit
----
-# Description
-Binding Site Detection predicts , predict whether a protein residue belongs to a small molecule binding cavity. Binding site residues are those within the binding pocket provided by PDBBind. Default metric is Matthew's Correlation.
-
-# 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: 2368
-- Valid: 442
-- Test:  464
-
-# 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
-- **seq:** The structure-aware sequence
-- **label:** Classification labels of all residues
-
-**1:**
-
-**···**	
-
+---
+license: mit
+---
+# Description
+Binding Site Detection predicts , predict whether a protein residue belongs to a small molecule binding cavity. Binding site residues are those within the binding pocket provided by PDBBind. Default metric is Matthew's Correlation.
+
+# 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: 2368
+- Valid: 442
+- Test:  464
+
+# 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
+- **seq:** The structure-aware sequence
+- **label:** Classification labels of all residues
+
+**1:**
+
+**···**	
+