dataset · needs review
extremely long-sequence species classification
Evaluation results
Release 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. |
Sources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- BiRNA-BERT allows efficient RNA language modeling with adaptive tokenization · Original source · journal full text in PMC
Technical metadata and extraction receipts
Stable ID: reported-dataset-ebc3f5fda43972
- areas
- rna-transcriptomes
- version
- Not reported
- split
- paper evaluation
- missing metadata
- version: not_reported_in_legacy_extract; accession: not_reported_in_legacy_extract