Datasets:

Modalities:
Text
Formats:
csv
ArXiv:
Libraries:
Datasets
pandas
License:
LTEnjoy's picture
Update README.md
e52c368 verified
|
raw
history blame
733 Bytes
---
license: mit
---
# 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
**Structure type:** None
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
# 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:**
**···**