| license: mit | |
| configs: | |
| - config_name: dataset | |
| data_files: "dataset.csv" | |
| # Description | |
| 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*. | |
| # Splits | |
| **Protein Format:** AA sequence | |
| 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: 20963 | |
| - Valid: 5235 | |
| - Test: 25517 | |
| # Label | |
| The label means the log-fluorescence intensity of the sequence. |