datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ContaminationQAeuv-collector-contamination-drift-detection-v0.1
Dataset purpose
This dataset detects early contamination drift in EUV collector mirrors.
A lithography system fails gradually.The first signal is not throughput collapse.It is coherence loss between:
gas stabilitymirror reflectivityEUV transmitted power
When these stop moving together, contamination is underway.
Task
Given system metrics, output:
coherence_drift_scoredrift_flag
drift_flag = 1 means contamination drift has begundrift_flag = 0 means system remains… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/euv-collector-contamination-drift-detection-v0.1.clinical-quad-lab-sample-handling-delay-contamination-risk-governance-deadline-v0.1ai-5node-data-buf-lag-cpl-data-contamination-v0.1
What this repo does
This dataset models data contamination cascades in AI training and deployment pipelines. It detects when contamination pressure, weakened validation buffer, governance lag in audits and quarantine actions, and tight coupling through shared stores and pipelines cross the five-node cascade threshold into an unrecoverable data contamination cascade.
This dataset models a five-node cascade: four interacting instability drivers and one emergent cascade state.The fifth… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-data-buf-lag-cpl-data-contamination-v0.1.