28-dataset aggregate

28 GUE datasets across seven task categories

协议指纹

PF-v1-85A1BBC0AB45D24B12B765DD

只有 metric 和 protocol-metric fingerprint 都明确选定后，页面才会加载结果分片。

Split: official train/validation/test splits
聚合: arithmetic mean of task-specific MCC/F1 scores across 28 datasets
外部数据: pretrained models allowed; no extra task labels beyond official training splits
Ensemble / best-of-N: single model · 1
关键未知字段: inference_budget

交互结果表

在同一指纹内筛选和比较

请选择 metric 和指纹。

canonical dataset ids: gue_h3;gue_h3k14ac;gue_h3k36me3;gue_h3k4me1;gue_h3k4me2;gue_h3k4me3;gue_h3k79me3;gue_h3k9ac;gue_h4;gue_h4ac;gue_covid;gue_mouse0;gue_mouse1;gue_mouse2;gue_mouse3;gue_mouse4;gue_prom_300_all;gue_prom_300_notata;gue_prom_300_tata;gue_prom_core_all;gue_prom_core_notata;gue_prom_core_tata;gue_splice_reconstructed;gue_tf0;gue_tf1;gue_tf2;gue_tf3;gue_tf4
data version: GUE 28-dataset paper release
label visibility: train labels visible; test labels hidden from training
input modality: nucleotide sequence
preprocessing: official benchmark preprocessing
model selection rule: validation loss checked every 200 steps; best validation-loss checkpoint
inference budget: NR
protocol completeness: exact