---
dataset_info:
  features:
  - name: Entry
    dtype: string
  - name: order
    dtype: string
  - name: Sequence
    dtype: string
  - name: labels
    dtype: int64
  splits:
  - name: train
    num_bytes: 101742617
    num_examples: 249393
  - name: valid
    num_bytes: 2064314
    num_examples: 5000
  - name: test
    num_bytes: 2040230
    num_examples: 5000
  download_size: 102364880
  dataset_size: 105847161
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: valid
    path: data/valid-*
  - split: test
    path: data/test-*
---
UniProt search (7/22/2025): * (Swiss-Prot reviewed entries only) download TSV with Taxonomic lineage (Ids), sequence, and length.

Curation steps:

- Filtered for sequence length >=20 and <=2048
- Extract Taxonomic IDs (domain, kingdom, phylum, class, order, family, genus, species) from taxonomic_lineage_ids column
- Keep entry, order, and sequence information
- Drop N/A
- CD-HIT using Docker at 80% similarity threshold and n=5
- Keep representative sequences
- Create labels based on orders
- Remove orders/examples with fewer than 100 samples
- Stratified split: first get test set (5,000), then eval (5,000), rest is train