Update README.md

README.md

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----
-license: mit
----
-# Description
-Stability Landscape Prediction is a regression task where each input protein *x* is mapped to a label *y* ∈ *R* measuring the most extreme circumstances in which protein *x* maintains its fold above a concentration threshold (a proxy for intrinsic stability).
-
-# Splits
-
-**Structure type:** None
-
-The dataset is from [**Evaluating Protein Transfer Learning with TAPE**](https://arxiv.org/abs/1906.08230). We follow the original data splits, with the number of training, validation and test set shown below:
-
-- Train: 53614
-- Valid: 2512
-- Test:  12851
-
-# 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
+Stability Landscape Prediction is a regression task where each input protein *x* is mapped to a label *y* ∈ *R* measuring the most extreme circumstances in which protein *x* maintains its fold above a concentration threshold (a proxy for intrinsic stability).
+
+# Splits
+
+**Structure type:** None
+
+The dataset is from [**Evaluating Protein Transfer Learning with TAPE**](https://arxiv.org/abs/1906.08230). We follow the original data splits, with the number of training, validation and test set shown below:
+
+- Train: 53614
+- Valid: 2512
+- Test:  12851
+
+# Label
+
+The label is the fitness of the protein measuring the most extreme circumstances in which the protein maintains its fold above a concentration threshold (a proxy for intrinsic stability).