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fungi-its-barcodes
Fungal internal transcribed spacer (ITS) reference sequences for 6-level taxonomic classification (phylum → class → order → family → genus → species), in the UNITE convention.
Files
| File | Sequences | Purpose |
|---|---|---|
trainset.fasta |
~1.5 M | Training references |
trainset_valid.fasta |
— | Validation split |
test1.fasta |
4,439 | Test 1 — Yeast-enriched |
test2.fasta |
11,619 | Test 2 — Filamentous fungi |
test3.fasta |
367,337 | Test 3 — large-scale benchmark |
top50.fasta |
2,024 | Demo subset |
Format
FASTA headers encode the full taxonomic path; unknown ranks are marked ?:
>KY106088|k__Fungi;p__Ascomycota;c__Saccharomycetes;o__Saccharomycetales;f__Saccharomycetaceae;g__Zygotorulaspora;s__Zygotorulaspora_mrakii|SH1312607.09FU
Class counts (trainset)
phylum 18 · class 70 · order 231 · family 791 · genus 3,695 · species 14,742
Source
Reference sequences originate from the UNITE + INSD dataset for Fungi (Abarenkov et al. 2023, PlutoF, doi:10.15156/bio/2938065). The train/validation/test partition and the UNITE-style taxonomic headers follow the MyCoAI data release (Romeijn et al. 2024, Molecular Ecology Resources, doi:10.1111/1755-0998.14006; github.com/MycoAI/MyCoAI).
If you use this dataset, please cite both sources above.
Usage
Fine-tuned model: FungiHelixSeek-Taxonomy — species accuracy 70.8% on the filamentous test set (test2.fasta, cleanly-labelled reference subset).
python scripts/species_classification/predict.py \
--model_path models/FungiHelixSeek-Taxonomy \
--input_fasta test2.fasta \
--output predictions.csv
Training recipe and full metrics: scripts/species_classification on GitHub.
License
CC-BY-NC 4.0 (research use; contact authors for commercial licensing).
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