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- README.md +27 -0
- test/data.mdb +3 -0
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- train/data.mdb +3 -0
- train/lock.mdb +0 -0
- valid/data.mdb +0 -0
- valid/lock.mdb +0 -0
.gitattributes
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README.md
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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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---
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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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# Splits
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**Structure type:** None
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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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- Train: 53614
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- Valid: 2512
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- Test: 12851
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# Data format
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We organize all data in LMDB format. The architecture of the databse is like:
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**length:** The number of samples
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**0:**
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- **seq:** The structure-aware sequence
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- **fitness:** fitness label of the sequence
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**1:**
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**···**
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test/data.mdb
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oid sha256:d41a0bb1b53638fc061dd0a1e12cebcb868c67b0acc9ed8e3bdf22ba229b7e81
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size 3350528
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test/lock.mdb
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train/data.mdb
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version https://git-lfs.github.com/spec/v1
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size 14176256
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train/lock.mdb
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valid/data.mdb
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valid/lock.mdb
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