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license: mit |
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# Description |
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Fluorescence prediction is a regression task where each input protein *x* is mapped to a label *y* ∈ *R*, corresponding to the log-fluorescence intensity of *x*. |
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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: 20963 |
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- Valid: 5235 |
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- Test: 25517 |
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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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**···** |