This paper-specific evaluation tests extremely long RNA species classification using extremely long-sequence species classification.
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Record type | Paper-specific task; protocol incompletely extractedBiRNA-BERT allows efficient RNA language modeling with adaptive tokenization · Table 2, BiRNA-BERT row, F1 Score column |
| Inputs | extremely long-sequence species classificationBiRNA-BERT allows efficient RNA language modeling with adaptive tokenization · Table 2, BiRNA-BERT row, F1 Score column |
| Assessment | F1BiRNA-BERT allows efficient RNA language modeling with adaptive tokenization · Table 2, BiRNA-BERT row, F1 Score column |
| Recorded split or evaluation setting | paper evaluationBiRNA-BERT allows efficient RNA language modeling with adaptive tokenization · Table 2, BiRNA-BERT row, F1 Score column |
| Datasets | Not extracted or verified for this record. |
| Organisms | Not extracted or verified for this record. |
| Assays | Not extracted or verified for this record. |
| Adaptation | Not extracted or verified for this record. |
| Baselines | Not extracted or verified for this record. |
Outline of the existing paper extraction. Split membership, fitting details and scorer implementation remain incompletely reviewed.
The existing paper extraction describes: adaptive tokenization on full-length long RNA sequences. This description is retained with the exact evaluation records; it is not a new protocol reconstruction.
BiRNA-BERT allows efficient RNA language modeling with adaptive tokenization · Table 2, BiRNA-BERT row, F1 Score columnRelease 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| BiRNA-BERT: extremely long RNA species classification Model: BiRNA-BERT · Benchmark: extremely long RNA species classification · Dataset: extremely long-sequence species classification adaptive tokenization on full-length long RNA sequences Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.804 F1 Unit: fraction · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedBiRNA-BERT allows efficient RNA language modeling with adaptive tokenization · Table 2, BiRNA-BERT row, F1 Score column Source checking is not independent reproduction. |
Catalogue extraction inspected; protocol claims remain limited to the cited evidence. Missing details are not presumed absent from the original paper.
Stable record: reported-task-c40dac20d9af66Release 2026-09-16-d74d282221a9 · Record review: needs review
Stable ID: reported-task-c40dac20d9af66