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license: mit
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# 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:**

**···**