Datasets:
| license: cdla-permissive-2.0 | |
| task_categories: | |
| - tabular-regression | |
| pretty_name: true_betalactamase_complete | |
| tags: | |
| - tabular | |
| - proteomics | |
| - regression | |
| - Biomedical | |
| - Benchmark | |
| - cds-seq | |
| configs: | |
| - config_name: true_betalactamase_complete | |
| 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 fitness of all single | |
| codon substitutions in the TEM-1 Beta-lactamase gene. Labels measure the ability | |
| to confer ampicillin resistance. The Complete dataset contains all coding sequences | |
| (CDS) except those degenerate with any test-set CDS, using raw CDS fitness values. | |
| Train and test sets are derived from Firnberg et al. Features are mean-pooled | |
| ESM-2 (esm2_t12_35M_UR50D) sequence embeddings. | |