YDXX/ViroHyena-436k
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ViroBland: A Small-Scale Mixed Pre-training Corpus
ViroBland is a small (216 Mbp) mixed pre-training corpus that combines broad genomic context with enriched viral signals. It is built with source-wise stratified sampling to balance three heterogeneous data sources, enabling compute-efficient and reproducible pre-training while retaining strong viral in-domain coverage.
Overview
- Scale: Small (216 Mbp; ~216M bases)
- Sources: 3 (Human reference + Multi-species + Viral in-domain)
- Final split sizes: Train 32,023 / Val 4,000 / Test 2,662 sequences
Data Sources
- Human Reference (GRCh38 / hg38; following HyenaDNA)
- Multi-species Diversity (Nucleotide Transformer dataset)
- Viral In-domain Data (OpenVirus)
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Models trained or fine-tuned on YDXX/ViroBlend