Dataset

RVDB C-RVDB v31.0 primary dataset, 33 refined classes

Viral sequences up to 2,046 bp from the clustered Reference Viral DataBase v31.0, 500 per class, split 70/30 stratified by class; 40 sampled classes refined to 33 after removing taxonomically ambiguous labels.

Evaluation results

39 evaluations · 48 results. Different protocols are not a single leaderboard.

Filter evaluations

Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: DNABERT-2, frozen embeddings, cls token only pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.705 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-2, cls token only pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'DNABERT-2', row 'CLS token only'
Configuration: DNABERT-2, frozen embeddings, max, all tokens pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.72 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-2, max, all tokens pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'DNABERT-2', row 'Max, all tokens'
Configuration: DNABERT-2, frozen embeddings, max, special tokens excluded pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.75 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-2, max, special tokens excluded pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'DNABERT-2', row 'Max, special tokens excluded'
Configuration: DNABERT-2, frozen embeddings, mean, all tokens pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.885 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-2, mean, all tokens pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'DNABERT-2', row 'Mean, all tokens'
Configuration: DNABERT-2, frozen embeddings, mean, special tokens excluded pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.885 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-2, mean, special tokens excluded pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'DNABERT-2', row 'Mean, special tokens excluded'
Configuration: DNABERT-S, frozen embeddings, cls token only pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.771 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-S, cls token only pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'DNABERT-S', row 'CLS token only'
Configuration: DNABERT-S, frozen embeddings, max, all tokens pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.791 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-S, max, all tokens pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'DNABERT-S', row 'Max, all tokens'
Configuration: DNABERT-S, frozen embeddings, max, special tokens excluded pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.8 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-S, max, special tokens excluded pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'DNABERT-S', row 'Max, special tokens excluded'
Configuration: DNABERT-S, frozen embeddings, mean, all tokens pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.874 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-S, mean, all tokens pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'DNABERT-S', row 'Mean, all tokens'
Configuration: DNABERT-S, frozen embeddings, mean, special tokens excluded pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.873 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-S, mean, special tokens excluded pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'DNABERT-S', row 'Mean, special tokens excluded'
Configuration: NTv1 (Multispecies 2.5B), frozen embeddings, cls token only pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.866 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv1 (Multispecies 2.5B), cls token only pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv1', row 'CLS token only'
Configuration: NTv1 (Multispecies 2.5B), frozen embeddings, max, all tokens pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.903 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv1 (Multispecies 2.5B), max, all tokens pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv1', row 'Max, all tokens'
Configuration: NTv1 (Multispecies 2.5B), frozen embeddings, max, special tokens excluded pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.903 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv1 (Multispecies 2.5B), max, special tokens excluded pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv1', row 'Max, special tokens excluded'
Configuration: NTv1 (Multispecies 2.5B), frozen embeddings, mean, all tokens pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.911 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv1 (Multispecies 2.5B), mean, all tokens pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv1', row 'Mean, all tokens'
Configuration: NTv1 (Multispecies 2.5B), frozen embeddings, mean, special tokens excluded pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.91 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv1 (Multispecies 2.5B), mean, special tokens excluded pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv1', row 'Mean, special tokens excluded'
Configuration: NTv2-250M, frozen embeddings, cls token only pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.765 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-250M, cls token only pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv2-250M', row 'CLS token only'
Configuration: NTv2-250M, frozen embeddings, max, all tokens pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.834 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-250M, max, all tokens pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv2-250M', row 'Max, all tokens'
Configuration: NTv2-250M, frozen embeddings, max, special tokens excluded pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.833 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-250M, max, special tokens excluded pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv2-250M', row 'Max, special tokens excluded'
Configuration: NTv2-250M, frozen embeddings, mean, all tokens pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.91 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-250M, mean, all tokens pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv2-250M', row 'Mean, all tokens'
Configuration: NTv2-250M, frozen embeddings, mean, special tokens excluded pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.91 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-250M, mean, special tokens excluded pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv2-250M', row 'Mean, special tokens excluded'
Configuration: NTv2-500M, frozen embeddings, cls token only pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.745 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-500M, cls token only pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv2-500M', row 'CLS token only'
Configuration: NTv2-500M, frozen embeddings, max, all tokens pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.87 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-500M, max, all tokens pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv2-500M', row 'Max, all tokens'
Configuration: NTv2-500M, frozen embeddings, max, special tokens excluded pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.873 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-500M, max, special tokens excluded pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv2-500M', row 'Max, special tokens excluded'
Configuration: NTv2-500M, frozen embeddings, mean, all tokens pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.906 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-500M, mean, all tokens pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv2-500M', row 'Mean, all tokens'
Configuration: NTv2-500M, frozen embeddings, mean, special tokens excluded pooling, 1-NN (Bůžková et al. 2026)	Protocol: RVDB 33-class viral classification by nearest-neighbour retrieval over frozen embeddings (Bůžková et al. 2026 Table 3) Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes	0.906 Accuracy (33-class RVDB dataset, 1-NN over frozen embeddings) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-500M, mean, special tokens excluded pooling, on the RVDB 33-class dataset gfm2-20261011-buzkova2026-protocol-acc-33 Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 3, column 'NTv2-500M', row 'Mean, special tokens excluded'

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Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
Property and statement	Original source and location	Review and provenance
Population 16,500 sequences; 4,950 test queries Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Primary dataset' Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.population` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Source location Section 2.2; Table 1 column 'Primary dataset' Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Primary dataset' Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.source_locator` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Split 70/30 train/test, stratified by class; 350 indexed and 150 queried per class Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Primary dataset' Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.split` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Total 16500 Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Primary dataset' Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.total` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Version C-RVDB v31.0, 9 January 2026 Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Primary dataset' Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.version` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Description Viral sequences up to 2,046 bp from the clustered Reference Viral DataBase v31.0, 500 per class, split 70/30 stratified by class; 40 sampled classes refined to 33 after removing taxonomically ambiguous labels. Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Primary dataset' Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `description` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Name RVDB C-RVDB v31.0 primary dataset, 33 refined classes Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Primary dataset' Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `name` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

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Analyzing Genomic Foundation Models for Viral Sequence Identification · Original source · bioRxiv v1, posted 2026-09-28

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Technical metadata and extraction receipts

Stable ID: gfm2-20261011-buzkova2026-data-rvdb-33

areas: dna-genomes
contexts: research
version: C-RVDB v31.0, 9 January 2026
split: 70/30 train/test, stratified by class; 350 indexed and 150 queried per class
population: 16,500 sequences; 4,950 test queries
total: 16500
source locator: Section 2.2; Table 1 column 'Primary dataset'

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