Update README.md

README.md

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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://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: 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:**
-
+---
+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:**
+
 **···**