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01WiserHumanExperimental /evilgenie-escalation EvilGenie × Escalation Channels — data release Run transcripts and per-sample analysis tables for the paper "Can escalation channels redirect reward hacking toward defect disclosure?" (F. Gomez, Wiser Human, 2026). Code: https://github.com/wiser-human-experimental/evilgenie-escalation Paper: https://arxiv.org/abs/2608.29460 What's here A coding agent is given an ambiguous competitive-programming problem (LiveCodeBench), a visible test suite, and sandboxed… See the full description on the dataset page: https://huggingface.co/datasets/WiserHumanExperimental/evilgenie-escalation.text-generation1K<n<10K0 likes369 downloads15d agoHugging Face02FatimahEmadEldin /agent-intrusion-escalation-forensics Both Sides Detected It, Neither Escalated: Concurrency and Escalation Failure in the July 2026 Autonomous Agent Intrusion This repository contains the corpus, ingestion pipeline and report for a forensic reconstruction of the July 2026 autonomous agent intrusion, submitted to the Apart Research & CeSIA AI Incident Response Sprint, Track 2 (Forensics and Forecasting). By: Fatimah Mohamed Emad Elden Trouve Labs Detection was not the binding… See the full description on the dataset page: https://huggingface.co/datasets/FatimahEmadEldin/agent-intrusion-escalation-forensics.documentn<1K0 likes160 downloads10d agoHugging Face03darkknight25 /APT_STYLE_Privilege_Escalation_Dataset APT Privilege Escalation Dataset Overview The APT Privilege Escalation Dataset is a comprehensive collection of advanced and unique privilege escalation techniques tailored for Red Team training and offensive cybersecurity operations. This dataset, comprising 1000 entries, simulates real-world Advanced Persistent Threat (APT) tactics, focusing on exploiting misconfigurations, vulnerabilities, and novel attack vectors to achieve elevated privileges on Linux-based systems.… See the full description on the dataset page: https://huggingface.co/datasets/darkknight25/APT_STYLE_Privilege_Escalation_Dataset.text1K<n<10K0 likes115 downloads1y agoHugging Face04emgena /omnimcp_mcp_privilege_escalation_auditor_teaser 🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE: Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20! 📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_mcp_privilege_escalation_auditor_teaser.texttext-generationn<1K0 likes67 downloads8d agoHugging Face05emgena /emgena_cloud_aws_iam_privilege_escalation_guard_teaser 🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE: Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20! 📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/emgena_cloud_aws_iam_privilege_escalation_guard_teaser.textn<1K0 likes46 downloads8d agoHugging Face06emgena /agent_privilege_escalation_tool_call_tampering_teaser 🚀 AI Security - Agent Privilege Escalation & Tool-Call Tampering Guard (Evaluation Teaser) ⚡ Official Free Evaluation Teaser (50 Verified Multi-Turn Scenarios)🏆 Get the Full Production Package (500 Samples) & Commercial EULA on Gumroad:👉 Purchase Full Production Master Dataset on Gumroad🏷️ Use coupon code LAUNCH20 for 20 € off at checkout! 🌟 Domain Focus & Capabilities Blocks tool argument injection, shadow API escalation, and malicious execution payload… See the full description on the dataset page: https://huggingface.co/datasets/emgena/agent_privilege_escalation_tool_call_tampering_teaser.texttext-generationn<1K0 likes34 downloads3d agoHugging Face07ClarusC64 /clinical-vital-sign-escalation-response-coherence-risk-v0.1What this repo is for Detect when vital signs deteriorate but escalation and response fail Common breaks high NEWS not escalated doctor notified late review done but no action action taken too late Used for deterioration detection ward safety ICU outreach rapid response auditing texttext-classificationn<1K0 likes25 downloads7mo agoHugging Face08nealdesai /escalation-bench Escalation Bench Does an AI agent know when to call a human? A benchmark for one specific agent skill: as agents get real autonomy — shipping code, moving money, emailing customers, mutating production — the dangerous failure isn't being wrong, it's acting when it should have stopped and asked. Escalation Bench measures the judgment to defer to a human (request_handoff) instead of barreling ahead. 🔗 Live leaderboard · Browse tasks + trajectories · Eval harness on GitHub This… See the full description on the dataset page: https://huggingface.co/datasets/nealdesai/escalation-bench.textothern<1K1 likes23 downloads3mo agoHugging Face09RubyIntelligence /fda-warning-letter-escalation FDA Warning Letter Escalation Dataset Version: 1.0.0 | Records: 14,810 | Price: $2,000 | Source: FDA (public domain) Dataset Summary The dataset's core signal — whether an inspection escalated to a Warning Letter — is validated against FDA's own severity classifications: OAI inspections escalate at 64% versus 1.7% for NAI, a 39× relationship that confirms the data reflects real regulatory behavior. The 14,810 inspections that escalated to enforcement — every… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/fda-warning-letter-escalation.tabularn<1K1 likes23 downloads3mo agoHugging Face10ClarusC64 /clinical-deterioration-escalation-response-coherence-risk-v0.1What this repo is for Detect when deterioration signals fire but escalation and response do not track them Common breaks NEWS2 high but nobody calls team arrives late team arrives but no intervention starts intervention delayed after arrival Examples you can use sepsis screen positive but antibiotics late hypotension triggers outreach but fluids delayed high NEWS2 overnight with no review You use it to flag avoidable harm risk ICU transfer delay risk texttext-classificationn<1K0 likes22 downloads7mo agoHugging Face11ClarusC64 /clinical-observation-chart-escalation-response-coherence-risk-v0.1What this repo is for Detect when observation charts show deterioration but escalation and review do not match Common breaks obs missed during high risk period NEWS trigger not escalated escalated but no review review late review done but no action plan recorded Examples NEWS 9 with no doctor call post-op patient triggering with review hours late night shift missed obs leading to arrest You use it to flag deterioration miss risk late ICU transfer risk tabulartext-classificationn<1K0 likes20 downloads7mo agoHugging Face12ClarusC64 /clinical-temporal-5node-pressure-buf-lag-cpl-safety-escalation-reg-hold-v0.1 What this repo does This dataset tests whether a model can detect a safety signal escalation forming over time and predict whether the program crosses into regulatory hold lock-in by the final step. Core quad pressurebufferlagcoupling Prediction target label_cascade_state Row structure One row represents a short temporal window (t0–t3) across program months. It includes time-series values for safety pressure, pharmacovigilance buffer, governance… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-temporal-5node-pressure-buf-lag-cpl-safety-escalation-reg-hold-v0.1.tabulartext-classificationn<1K0 likes20 downloads7mo agoHugging Face13ClarusC64 /ai-autonomy-escalation-coherence-risk-v0.1What this repo is for Detect when an AI system escalates autonomy beyond its permitted scope. Core failure modes: acting without approval executing irreversible actions expanding task scope ignoring permission boundaries This dataset is central for agent governance and deployment safety. texttext-classificationn<1K0 likes19 downloads7mo agoHugging Face14ClarusC64 /clinical-transfer-escalation-bed-availability-coherence-risk-v0.1What this repo is for Detect when escalation need and bed or transfer capacity fall out of alignment before ward deterioration and preventable ICU delays. texttext-classificationn<1K0 likes19 downloads7mo agoHugging Face15ClarusC64 /clinical-lactate-escalation-coherence-risk-v0.1What this repo is for Detect when lactate trend signals and escalation decisions fall out of alignment before avoidable ICU transfers shock or preventable deterioration. texttext-classificationn<1K0 likes18 downloads7mo agoHugging Face16ClarusC64 /clinical-escalation-trigger-senior-review-coherence-risk-v0.1What this repo is for This dataset tests whether a model can detect coupling failures between deterioration triggers and timely senior clinical review. It measures alignment between trigger activation and senior review completion within target time. It predicts missed deterioration avoidable ICU transfers cardiac arrest risk windows governance failures when plans are not documented. You use it to flag ward safety risk rapid response pathway integrity shift staffing risk texttext-classificationn<1K0 likes18 downloads7mo agoHugging Face17ClarusC64 /clinical-escalation-discipline-v0.1 What this dataset does This dataset tests whether a model can decide when a patient should be escalated rather than simply monitored. The task is not to identify the sickest patient by a single score. The task is to decide whether the current pattern requires escalation. Core stability idea Escalation depends on more than visible severity. A patient with a moderate score may need escalation if the trajectory is worsening and treatment response is poor. A patient with a… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-escalation-discipline-v0.1.tabulartext-classificationn<1K0 likes18 downloads4mo agoHugging Face18ClarusC64 /escalation-discipline-classification-v0.1 What this dataset does This dataset tests whether a model can detect escalation discipline. The task is simple: Given a scenario and an escalation-discipline claim, predict whether the claim is supported. Core stability idea Escalation is neither inherently good nor bad. Escalation discipline means escalating: when thresholds are crossed when local controls fail when authority limits are reached when risk exceeds containment capacity Poor escalation occurs when systems… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/escalation-discipline-classification-v0.1.texttext-classificationn<1K0 likes17 downloads4mo agoHugging Face19Roy229 /huggingface_9689_93tg_escalation_registry Escalation Registry This dataset tracks support ticket escalations for the support team. Categories CRITICAL: High priority + Pending status - escalate immediately FOLLOW_UP: CSAT below 4 OR Pending status (non-critical) - assign for follow-up OK: All other tickets Files escalations.json - the escalation registry data textn<1K0 likes17 downloads1mo agoHugging Face20ClarusC64 /clinical-sepsis-screening-antibiotic-escalation-coherence-risk-v0.1What this repo is for Detect when sepsis signals and screening plus antibiotic escalation fall out of alignment before delayed treatment and avoidable deterioration. texttext-classificationn<1K0 likes16 downloads7mo agoHugging Face21ClarusC64 /clinical-escalation-discipline-v0.2 What this dataset does This dataset tests whether a model can decide when a patient should be escalated rather than monitored. The task is not to identify the sickest-looking patient. The task is to determine whether the current pattern requires escalation. What changed in v0.2 v0.2 adds adversarial cases where the same NEWS score can have different labels. Some high-score patients are improving and should be monitored. Some moderate or low-score patients are… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-escalation-discipline-v0.2.tabulartext-classificationn<1K0 likes16 downloads4mo agoHugging Face22RubyIntelligence /fda-inspection-escalation-dataset FDA Inspection & Escalation Dataset Version: 1.0.0 | Records: 271,609 | Price: $2,500 | Source: FDA (public domain) Dataset Summary The dataset's core signal — whether an inspection escalated to a Warning Letter — is validated against FDA's own severity classifications: OAI inspections escalate at 64% versus 1.7% for NAI, a 39× relationship that confirms the data reflects real regulatory behavior. Every FDA inspection on record — 271,609 inspections — enriched… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/fda-inspection-escalation-dataset.tabularn<1K1 likes16 downloads3mo agoHugging Face23ClarusC64 /healthcare-escalation-deterioration-response-coherence-risk-v0.1What this repo is for Detect failure-to-rescue risk before serious harm. Tracks alignment between early warning triggers, staff recognition, escalation calls, and timely intervention. Helps hospitals prevent unrecognised deterioration and delayed response events. texttext-classificationn<1K0 likes15 downloads7mo agoHugging Face24ClarusC64 /clinical-deterioration-vitals-escalation-coherence-risk-v0.1What this repo is for Detect when vital signs show deterioration but escalation does not happen or happens too late before ICU transfer cardiac arrest or avoidable harm. texttext-classificationn<1K0 likes15 downloads7mo agoHugging Face25ClarusC64 /clinical-escalation-threshold-response-coherence-risk-v0.1What this repo is for Detect when a trigger threshold is crossed but escalation or response does not happen Examples you can use NEWS2 high but no senior review critical lactate but no sepsis bundle critical hypotension but no fluids review You use it to flag deterioration response failure risk texttext-classificationn<1K0 likes15 downloads7mo agoHugging Face26ClarusC64 /clinical-quad-dose-escalation-early-ae-pk-exposure-mtd-misidentification-v0.1Clinical Quad Dose Escalation Early Safety PK MTD Misidentification v0.1 Each row is a subject snapshot during dose escalation. Core quad Dose escalation stepEarly safety signalPK exposureMTD decision threshold Target label_mtd_misid_risk_next_14d Files data/train.csvdata/tester.csvscorer.py Evaluation Run model on data/tester.csvReturn predictions row alignedScore with scorer.py License MIT tabulartext-classificationn<1K0 likes15 downloads7mo agoHugging Face27TianfuXinqu /filesystem_playwright_with_chunk_huggingface_4048_escalations_taf545textn<1K0 likes15 downloads1mo agoHugging Face28ClarusC64 /clinical-escalation-and-adaptation-integrity-v0.1 Clinical Escalation and Adaptation Integrity Purpose Test whether a clinical system escalates and adapts when reality diverges. This benchmarks: missed escalation partial adaptation unsafe downplay normalization of deviance delayed response What it checks recognition of deterioration signals action selection under pressure completeness of adaptation speed relative to risk Outputs Models should predict: escalation_integrity_flag (yes/no)… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-escalation-and-adaptation-integrity-v0.1.tabular-classification0 likes12 downloads8mo agoHugging Face29ClarusC64 /clinical-quad-biomarker-drift-dose-intensity-comed-burden-inflammation-ae-escalation-v0.1What this repo does This dataset models adverse event escalation as a basin shift in patient state space. It predicts when the interaction between biomarker drift, dose intensity, comedication burden, and inflammation signal pushes a patient into an adverse event escalation regime. Core quad biomarker_drift_index dose_intensity_index comedication_burden_index inflammation_marker_index Prediction target label_ae_escalation Row structure Each row represents a patient monitoring snapshot during… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-biomarker-drift-dose-intensity-comed-burden-inflammation-ae-escalation-v0.1.tabulartext-classificationn<1K0 likes12 downloads7mo agoHugging Face30ClarusC64 /clinical-quad-serotonergic-dose-escalation-cyp-inh-alert-override-serotonin-tox-v0.1What this repo does This dataset models serotonin toxicity risk under polypharmacy. It predicts when the interaction between serotonergic burden, rapid dose escalation, CYP inhibition, and interaction alert override behavior creates a high probability of a serotonin syndrome event. Core quad serotonergic_burden_index dose_escalation_index cyp_inhibition_index interaction_alert_override_index Prediction target label_serotonin_event Row structure Each row represents a patient prescribing risk… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-serotonergic-dose-escalation-cyp-inh-alert-override-serotonin-tox-v0.1.tabulartext-classificationn<1K0 likes12 downloads7mo agoHugging Face

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