datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
models-under-pressure
Models Under Pressure
This dataset accompanies the paper Detecting High-Stakes Interactions with Activation Probes, presented at the ICML 2025 Workshop on Actionable Interpretability, accepted to NeurIPS 2025.
Overview
Every sample is a user-facing LLM interaction labelled as high-stakes or low-stakes. The label reflects whether the conversation involves potentially consequential outcomes (medical advice, legal matters, financial decisions, etc.) vs. routine queries.
The… See the full description on the dataset page: https://huggingface.co/datasets/Arrrlex/models-under-pressure.GB150-Pressure-Vessel-SFT-Sample
🏭 GB150-Pressure-Vessel-SFT: 工业级压力容器大模型微调数据集 (开源 Sample)
🌟 简介 (Introduction)
欢迎来到 GB150-Pressure-Vessel-SFT 数据集开源仓库。本仓库提供 100 条精选的《GB150 压力容器》及相关特种设备标准的高质量指令微调（SFT）数据样本。
目前，通用大模型（如 GPT-4, Qwen, DeepSeek）在面对严苛的工业工程设计时，普遍存在三大致命缺陷：
数值幻觉：随意捏造材料在特定温度下的许用应力，导致壁厚计算错误。
知其然不知其所以然：只能背诵法条，无法从“材料学”或“力学”底层原理解释规范限制。
输出格式混乱：无法生成符合工程院所要求的结构化审查报告。
本数据集由资深大数据专家与压力容器设计专家联合构建，通过“多模态标准解析 + 真实材料字典拦截 + Markdown 专家思维链 (MD-CoT)”流水线打造，旨在为工业大模型注入零幻觉、强逻辑、可溯源的工程灵魂。
🎯… See the full description on the dataset page: https://huggingface.co/datasets/xie502161175/GB150-Pressure-Vessel-SFT-Sample.Pressure-Handling-Data