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  1. .gitattributes +2 -0
  2. README.md +27 -0
  3. test/data.mdb +3 -0
  4. test/lock.mdb +0 -0
  5. train/data.mdb +3 -0
  6. train/lock.mdb +0 -0
  7. valid/data.mdb +0 -0
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+ test/data.mdb filter=lfs diff=lfs merge=lfs -text
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+ train/data.mdb filter=lfs diff=lfs merge=lfs -text
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  ---
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  license: mit
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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+ # Description
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+ 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).
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+
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+ # Splits
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+
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+ **Structure type:** None
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+
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+ 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:
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+
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+ - Train: 53614
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+ - Valid: 2512
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+ - Test: 12851
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+
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+ # Data format
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+
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+ We organize all data in LMDB format. The architecture of the databse is like:
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+
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+ **length:** The number of samples
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+
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+ **0:**
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+
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+ - **seq:** The structure-aware sequence
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+ - **fitness:** fitness label of the sequence
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+
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+ **1:**
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+
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+ **···**
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+ size 3350528
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