ViralMultiNet Cross-Variant Generalization Performance on SARS-CoV-2 Lineages

FuGuo Liu published a dataset on figshare in June 2026. The dataset contains cross-variant generalization performance metrics for the ViralMultiNet model on emerging SARS-CoV-2 lineages, specifically JN.1 and Delta. The data is stored in an XLS file and is 5.5 KB in size.

Use Cases

• Benchmark machine learning model generalization based on performance metrics for SARS-CoV-2 lineages.
• Compare model performance on specific variants like JN.1 and Delta.
• Validate predictive models for emerging viral lineages.
• Assess the transferability of computational models across viral variants.

Strengths

• Focuses on two specific SARS-CoV-2 lineages (JN.1 and Delta) for targeted analysis.
• File size is 5.5 KB, indicating a compact and likely focused set of performance metrics.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-06-03 17:45:07; freshness should be verified.