Update README.md

README.md

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----
-license: mit
----
-# Description
-AAV Prediction is a regression task where each input protein *x* is mapped to a label *y* ∈ *R* measuring the fitness score.
-
-# Splits
-
-**Structure type:** None
-
-The dataset is from [**FLIP: Benchmark tasks in fitness landscape inferencefor proteins**](https://www.biorxiv.org/content/10.1101/2021.11.09.467890v2). We follow the original data splits from the "2-vs-rest" branch, with the number of training, validation and test set shown below:
-
-- Train: 22246
-- Valid: 2462
-- Test:  50432
-
-# Data format
-
-We organize all data in LMDB format. The architecture of the databse is like:
-
-**length:** The number of samples
-
-**0:** 
-
-- **seq:** The structure-aware sequence
-- **fitness:** fitness label of the sequence
-
-**1:**
-
-**···**
+---
+license: mit
+---
+# Description
+AAV Prediction is a regression task where each input protein *x* is mapped to a label *y* ∈ *R* measuring the fitness score.
+
+# Splits
+
+**Structure type:** None
+
+The dataset is from [**FLIP: Benchmark tasks in fitness landscape inferencefor proteins**](https://www.biorxiv.org/content/10.1101/2021.11.09.467890v2). We follow the original data splits from the "2-vs-rest" branch, with the number of training, validation and test set shown below:
+
+- Train: 22246
+- Valid: 2462
+- Test:  50432