Fluorescence Landscape Prediction
Collection
This group contains all relative training datasets and model checkpoints trained on these datasets for Fluorescence Landscape Prediction.
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3 items
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Updated
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stringlengths 474
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float64 1.28
4.12
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S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#K#L#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#N#G#I#K#V#N#F#K#I#R#H#K#I#E#D#G#S#V#Q#L#A#D#H#Y#Q#Q#N#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#S#K#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#H#G#M#D#E#R#Y#K# | 3.823701 | train |
S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#R#L#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#A#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#N#G#I#K#V#N#F#K#I#R#H#N#I#E#D#G#S#V#Q#L#A#D#H#Y#Q#Q#N#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#S#K#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#H#G#M#D#E#L#Y#K# | 3.752084 | train |
S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#K#L#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#N#G#I#K#V#N#F#K#I#R#H#N#I#E#D#G#S#V#Q#L#A#D#H#Y#Q#Q#N#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#A#Q#S#A#L#S#K#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#L#G#M#D#E#L#Y#K# | 3.540156 | train |
S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#K#L#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#N#G#I#K#V#N#F#K#I#R#H#N#I#E#D#G#S#V#Q#L#A#D#H#Y#Q#Q#S#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#N#K#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#H#G#M#D#E#L#Y#K# | 3.691572 | train |
S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#K#L#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#R#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#I#G#I#K#V#N#F#R#I#R#H#N#I#E#D#G#S#V#Q#L#A#D#H#Y#Q#Q#N#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#S#K#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#H#G#M#D#E#L#Y#K# | 3.688143 | train |
S#K#G#E#E#L#L#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#K#L#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#A#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#N#G#I#K#V#N#F#K#I#R#H#N#I#E#D#C#S#V#Q#L#A#D#H#Y#Q#Q#N#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#S#K#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#H#G#M#D#E#L#Y#K# | 3.187359 | train |
S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#K#P#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#N#G#I#K#V#N#F#K#I#R#H#N#I#E#D#G#S#V#Q#L#A#D#H#Y#Q#Q#H#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#S#K#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#H#G#M#D#E#L#Y#K# | 1.301038 | train |
S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#K#L#P#E#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#N#G#I#K#V#N#F#K#I#R#H#N#I#E#D#G#S#V#Q#L#A#D#H#Y#Q#Q#N#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#S#K#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#R#G#M#D#E#L#Y#K# | 1.30103 | train |
S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#K#L#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#Y#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#N#G#I#K#V#N#F#K#I#R#H#N#I#E#D#G#S#V#R#L#A#D#H#Y#Q#Q#N#T#P#I#G#V#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#S#K#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#H#G#M#D#E#L#Y#K# | 3.503791 | train |
S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#K#L#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#L#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#N#G#I#K#A#N#F#K#I#R#H#N#I#E#D#G#S#V#Q#L#A#D#H#Y#Q#Q#N#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#S#I#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#H#G#M#D#E#L#Y#K# | 3.718362 | train |
S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#R#L#T#L#K#F#I#C#T#T#G#K#L#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#N#G#I#K#V#N#F#K#I#R#H#N#I#E#D#G#S#V#Q#P#A#D#H#Y#Q#Q#N#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#S#K#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#H#G#M#D#E#L#Y#K# | 3.75338 | train |
S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#K#L#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#N#G#I#K#V#N#F#K#I#R#H#N#I#E#A#G#S#V#Q#L#A#D#H#Y#Q#Q#N#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#S#K#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#H#G#M#D#E#L#Y#K# | 3.613707 | train |
S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#E#L#D#G#D#V#N#G#H#E#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#K#L#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#H#N#S#H#N#V#Y#I#M#A#D#K#Q#K#S#G#I#K#V#N#F#K#I#R#H#N#I#E#D#G#S#V#Q#L#A#D#H#Y#Q#Q#N#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#S#K#D#P#N#E#K#R#D#H#M#V#L#L#E#F#V#T#A#A#G#I#T#H#G#M#D#E#L#Y#K# | 3.267478 | train |
S#K#G#E#E#L#F#T#G#V#V#P#I#L#V#G#L#D#G#D#V#N#G#H#K#F#S#V#S#G#E#G#E#G#D#A#T#Y#G#K#L#T#L#K#F#I#C#T#T#G#K#L#P#V#P#W#P#T#L#V#T#T#L#S#Y#G#V#Q#C#F#S#R#Y#P#D#H#M#K#Q#H#D#F#F#K#S#A#M#P#E#G#Y#V#Q#E#R#T#I#F#F#K#D#D#G#N#Y#K#T#R#A#E#V#K#F#E#G#D#T#L#V#N#R#I#E#L#K#G#I#D#F#K#E#D#G#N#I#L#G#H#K#L#E#Y#N#Y#N#S#H#N#V#Y#I#M#A#D#K#Q#K#N#G#I#K#V#N#F#K#I#R#H#N#I#E#D#G#S#V#Q#L#A#D#H#C#Q#Q#N#T#P#I#G#D#G#P#V#L#L#P#D#N#H#Y#L#S#T#Q#S#A#L#S#K#D#P#N#E#K#R#G#H#M#V#L#L#E#F#V#T#A#A#G#I#T#H#G#M#D#E#L#Y#K# | 1.30103 | train |
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End of preview. Expand
in Dataset Viewer.
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. 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:
···
- Downloads last month
- 3
Size of downloaded dataset files:
25.9 MB
Size of the auto-converted Parquet files:
3.13 MB
Number of rows:
51,715