datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
clinical-quad-safety-underreporting-conmed-misattribution-monitoring-lag-governance-interim-v0.1Clarus Clinical Quad Coupling Safety Signal Integrity v0.1
PurposeDetect safety signal distortion driven by four interacting nodes.
Quad nodes
Apparent AE decline or mismatch
Conmed masking or missing timing
Data entry or monitoring lag
Governance or interim timing pressure
InputOne vignette.
OutputStrict JSON only.
Required keys
safety_signal_risk
risk_type
driver_nodes
recommended_action
action_detail
rationale
confidence
Filesdata/train.csvdata/test.csvscorer.py… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-safety-underreporting-conmed-misattribution-monitoring-lag-governance-interim-v0.1.Drone-flight-monitoring-reasoning-SFT
Drone-flight-monitoring-reasoning-SFT
Dataset Description
本数据集是一个专注于无人机飞行安全领域的中文问答数据集，采用了Chain-of-Thought (CoT) 的格式。它旨在用于练习大语言模型的微调训练，使其能够模拟专家思考过程，并针对无人机安全相关问题生成包含推理步骤的结构化回答。微调后模型见(GabrielCheng/Deepseek-r1-finetuned-drone-safty) 。
本数据集是基于 Hugging Face 平台上的 skylink-drone-cot-datasets (pohsjxx/default-domain-cot-dataset) 进行处理和衍生的。
Dataset Structure / Data Fields
数据集中的每个样本包含以下字段：
Question (string): 关于无人机飞行安全或风险相关的问题。
Reasoning (string): 模拟模型的推理过程。
Answer… See the full description on the dataset page: https://huggingface.co/datasets/GabrielCheng/Drone-flight-monitoring-reasoning-SFT.clinical-quad-monitoring-frequency-deviation-latency-risk-v0.1Clarus Clinical Quad Coupling Monitoring Frequency Deviation Latency Risk v0.1
What this dataset isThis dataset tests whether a model can detect monitoring and oversight risk driven by four interacting nodes.
Quad coupling nodes
Monitoring frequency or delay
Deviation or anomaly increase
Data latency or missing updates
Governance review or inspection pressure
Input
One vignette
OutputReturn strict JSON only.
Required output JSON keys
monitoring_risk
risk_type
driver_nodes… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-monitoring-frequency-deviation-latency-risk-v0.1.