Taylor658/Electrohydrodynamics

该数据集是一个包含6000个高质量训练实例的综合集合，专门用于微调Mistral-Large-Instruct-2411基础模型。数据集涵盖了霍尔效应推进器中的电流体动力学的理论、计算和实验方面，具有多模态元素，包括LaTeX方程、代码片段、文本解释和元数据。数据集的结构包括多个列，如指令、响应、领域、复杂性、参数、示例、注释、预期输出格式和标签。数据集的用途是增强大型语言模型在等离子体物理学和相关领域的推理、推导和问题解决能力，支持科学研究的AI模型开发。数据集采用Apache License 2.0许可。

This dataset is a comprehensive collection of 6,000 high-fidelity training instances tailored for fine-tuning the Mistral-Large-Instruct-2411 foundation model. It captures theoretical, computational, and experimental aspects of electrohydrodynamics in Hall Effect Thrusters. The dataset includes multimodal elements such as LaTeX equations, code snippets, textual explanations, and metadata for diverse machine learning tasks. It is designed to enhance the capabilities of large language models in reasoning, derivation, and problem-solving in plasma physics and related domains, and to support the development of AI models for scientific research, particularly in advanced propulsion systems.