README.md

---
license: cdla-permissive-2.0
task_categories:
- tabular-regression
pretty_name: true_fluorescence
tags:
- tabular
- proteomics
- regression
- Biomedical
- Benchmark
- cds-seq
configs:
- config_name: true_fluorescence
  data_files:
  - split: train
    path: data/train.parquet
  - split: validation
    path: data/val.parquet
  - split: test
    path: data/test.parquet
dataset_info:
  description: Sequence-level regression task predicting the log-fluorescence of higher-order
    mutant green fluorescent protein (avGFP) sequences. The library was generated
    via random mutagenesis of the wildtype sequence. Training is restricted to sequences
    with three or fewer mutations from parent GFP sequences; the test set contains
    sequences with four or more mutations, following the TAPE and PEER benchmarks.
    A random maximal subset of non-degenerate coding sequences was selected. Features
    are TF-IDF representations of amino-acid 3-mers.
---