The split of GUE Promoter detection, tata that GUE 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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10 evaluations · 10 results. Different protocols are not a single leaderboard.
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| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: DNABERT-2 (further pre-trained on GUE) | Task: GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Dataset subset: GUE Promoter detection, tata (GUE split) | 68.8% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceFine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT-2♦), column(Promoter detection tata) |
| Configuration: DNABERT-2 | Task: GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Dataset subset: GUE Promoter detection, tata (GUE split) | 71.6% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT-2 on GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT-2), column(Promoter detection tata) |
| Configuration: DNABERT (3-mer) | Task: GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Dataset subset: GUE Promoter detection, tata (GUE split) | 69.8% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT (3-mer) on GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (3-mer)), column(Promoter detection tata) |
| Configuration: DNABERT (4-mer) | Task: GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Dataset subset: GUE Promoter detection, tata (GUE split) | 66.8% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT (4-mer) on GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (4-mer)), column(Promoter detection tata) |
| Configuration: DNABERT (5-mer) | Task: GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Dataset subset: GUE Promoter detection, tata (GUE split) | 69.5% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT (5-mer) on GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (5-mer)), column(Promoter detection tata) |
| Configuration: DNABERT (6-mer) | Task: GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Dataset subset: GUE Promoter detection, tata (GUE split) | 61.6% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT (6-mer) on GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (6-mer)), column(Promoter detection tata) |
| Configuration: NT-2500M-1000g | Task: GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Dataset subset: GUE Promoter detection, tata (GUE split) | 75.8% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNT-2500M-1000g on GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(NT-2500M-1000g), column(Promoter detection tata) |
| Configuration: NT-2500M-multi | Task: GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Dataset subset: GUE Promoter detection, tata (GUE split) | 79.4% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNT-2500M-multi on GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(NT-2500M-multi), column(Promoter detection tata) |
| Configuration: NT-500M-1000g | Task: GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Dataset subset: GUE Promoter detection, tata (GUE split) | 78.2% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNT-500M-1000g on GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(NT-500M-1000g), column(Promoter detection tata) |
| Configuration: NT-500M-human | Task: GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Dataset subset: GUE Promoter detection, tata (GUE split) | 78.1% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNT-500M-human on GUE PROMOTER-DETECTION-TATA: Promoter detection, dataset tata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(NT-500M-human), column(Promoter detection tata) |
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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 GUE Promoter detection, tata that GUE evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits. Context-only references | DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes No field-specific location recorded Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| name GUE Promoter detection, tata (GUE split) Context-only references | DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes No field-specific location recorded Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | 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: gue-dataset-gue-promoter-detection-tata