datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
selfsupervised-selfmonitoring-drift-detection-v0.1Self-Monitoring Drift Detection v0.1
What this tests
Whether a system detects drift from its own baseline using a defined threshold.
Rules
dropdrift if baseline - current >= threshold
risedrift if current - baseline >= threshold
absdrift if abs(current - baseline) >= threshold
Failure modes
false_stability_claimDrift is present but the response claims stability
threshold_handled_okResponse matches the threshold rule
How it works
baseline_value is the prior stable value
current_value is… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/selfsupervised-selfmonitoring-drift-detection-v0.1.Self-Supervised-MNLI