The split of GENEB representative task subset that GENEB evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits.
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22 evaluations · 22 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: GENA-LM-Large-T2T | Task: GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Dataset subset: GENEB representative task subset (GENEB split) | 0.53 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFrozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(GENA-LM-Large-T2T), column(Linear MCC) |
| Configuration: GENA-LM-Large-T2T | Task: GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Dataset subset: GENEB representative task subset (GENEB split) | 0.535 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFrozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(GENA-LM-Large-T2T), column(MLP MCC) |
| Configuration: GENERator-Eukaryote-1.2B | Task: GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Dataset subset: GENEB representative task subset (GENEB split) | 0.579 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFrozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(GENERator-Eukaryote-1.2B), column(Linear MCC) |
| Configuration: GENERator-Eukaryote-1.2B | Task: GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Dataset subset: GENEB representative task subset (GENEB split) | 0.595 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFrozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(GENERator-Eukaryote-1.2B), column(MLP MCC) |
| Configuration: GENERator-Eukaryote-3B | Task: GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Dataset subset: GENEB representative task subset (GENEB split) | 0.605 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFrozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(GENERator-Eukaryote-3B), column(Linear MCC) |
| Configuration: GENERator-Eukaryote-3B | Task: GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Dataset subset: GENEB representative task subset (GENEB split) | 0.609 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFrozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(GENERator-Eukaryote-3B), column(MLP MCC) |
| Configuration: GenomeOcean-4B | Task: GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Dataset subset: GENEB representative task subset (GENEB split) | 0.552 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFrozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(GenomeOcean-4B), column(Linear MCC) |
| Configuration: GenomeOcean-4B | Task: GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Dataset subset: GENEB representative task subset (GENEB split) | 0.552 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B on GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(GenomeOcean-4B), column(MLP MCC) |
| Configuration: GenomeOcean-500M | Task: GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Dataset subset: GENEB representative task subset (GENEB split) | 0.536 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFrozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(GenomeOcean-500M), column(Linear MCC) |
| Configuration: GenomeOcean-500M | Task: GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Dataset subset: GENEB representative task subset (GENEB split) | 0.535 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-500M on GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(GenomeOcean-500M), column(MLP MCC) |
| Configuration: GROVER | Task: GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Dataset subset: GENEB representative task subset (GENEB split) | 0.466 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGROVER on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(GROVER), column(Linear MCC) |
| Configuration: GROVER | Task: GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Dataset subset: GENEB representative task subset (GENEB split) | 0.477 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGROVER on GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(GROVER), column(MLP MCC) |
| Configuration: HyenaDNA-Large-1M | Task: GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Dataset subset: GENEB representative task subset (GENEB split) | 0.427 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFrozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(HyenaDNA-Large-1M), column(Linear MCC) |
| Configuration: HyenaDNA-Large-1M | Task: GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Dataset subset: GENEB representative task subset (GENEB split) | 0.479 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFrozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(HyenaDNA-Large-1M), column(MLP MCC) |
| Configuration: LucaOne | Task: GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Dataset subset: GENEB representative task subset (GENEB split) | 0.573 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLucaOne on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(LucaOne), column(Linear MCC) |
| Configuration: LucaOne | Task: GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Dataset subset: GENEB representative task subset (GENEB split) | 0.6 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLucaOne on GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(LucaOne), column(MLP MCC) |
| Configuration: MutBERT | Task: GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Dataset subset: GENEB representative task subset (GENEB split) | 0.516 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMutBERT on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(MutBERT), column(Linear MCC) |
| Configuration: MutBERT | Task: GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Dataset subset: GENEB representative task subset (GENEB split) | 0.517 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMutBERT on GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(MutBERT), column(MLP MCC) |
| Configuration: NT-v2-50M-MS | Task: GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Dataset subset: GENEB representative task subset (GENEB split) | 0.511 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFrozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(NT-v2-50M-MS), column(Linear MCC) |
| Configuration: NT-v2-50M-MS | Task: GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Dataset subset: GENEB representative task subset (GENEB split) | 0.521 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNT-v2-50M-MS on GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(NT-v2-50M-MS), column(MLP MCC) |
| Configuration: Omni-DNA-1B | Task: GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe Dataset subset: GENEB representative task subset (GENEB split) | 0.55 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFrozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(Omni-DNA-1B), column(Linear MCC) |
| Configuration: Omni-DNA-1B | Task: GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Dataset subset: GENEB representative task subset (GENEB split) | 0.542 macro_mcc correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceOmni-DNA-1B on GENEB MLP-PROBE: Average macro-MCC across the 13 representative tasks, MLP probe Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7). Aggregation: Not reported GENEB: Why Genomic Models Are Hard to Compare · Table 8, row(Omni-DNA-1B), column(MLP MCC) |
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2 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| description The split of GENEB representative task subset that GENEB evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits. Context-only references | GENEB: Why Genomic Models Are Hard to Compare No field-specific location recorded Version: 2606.04525v1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| name GENEB representative task subset (GENEB split) Context-only references | GENEB: Why Genomic Models Are Hard to Compare No field-specific location recorded Version: 2606.04525v1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
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Release 2026-09-29-06401fd5b220 · Record review: source checked
Stable ID: geneb-dataset-geneb-representative-task-subset