README.md

UniProt search (6/17/2025): (cc_scl_term_exp:SL-0086) OR (cc_scl_term_exp:SL-0191) OR (cc_scl_term_exp:SL-0243) OR (cc_scl_term_exp:SL-0162) OR (cc_scl_term_exp:SL-0173) OR (cc_scl_term_exp:SL-0209) OR (cc_scl_term_exp:SL-0095) OR (cc_scl_term_exp:SL-0272) OR (cc_scl_term_exp:SL-0158) OR (cc_scl_term_exp:SL-0132) OR (cc_scl_term_exp:SL-0204) OR (cc_scl_term_exp:SL-0049) OR (cc_scl_term_exp:SL-0041)

Filtered for specific subcellular location terms: (1) Cytoplasm (2) Nucleus (3) Secreted (4) Membrane (5) Mitochondria (6) Plastid (7) Endoplasmic Reticulum (8) Vacuole (9) Lysosome (10) Golgi Apparatus (11) Peroxisome (12) Chloroplast (13) Cell Wall

Curation steps:

• Filtered for sequence length >=20 and <=2048
• CD-HIT using Docker at 80% similarity threshold and n=5
• Keep representative sequences
• Parse subcellular locations into a clean list of labels (remove notes & ECO numbers)
• Keep only examples with label in the location map (above)
• Remove duplicates
• Unique label list (assign 0 or 1 to a bitstring), convert to vector
• Shuffle and split randomly into train, valid (1k), and test (1k)

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dataset_info: features: - name: labels dtype: string - name: seqs dtype: string splits: - name: train num_bytes: 15913904 num_examples: 32638 - name: valid num_bytes: 472742 num_examples: 1000 - name: test num_bytes: 484576 num_examples: 1000 download_size: 15433449 dataset_size: 16871222 configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* - split: test path: data/test-*