MorbidCorp/actuarial-fm-p-ifm-dataset

这是一个综合性的精算学AI训练数据集，包含了三个SOA考试（精算师协会考试）的数据。数据集总结如下：总共有18,794个示例，其中约18,000个示例来自FM（金融数学）考试，743个示例来自P（概率论）考试，37个示例来自IFM（投资与金融市场）考试。数据格式为JSONL，包含指令-响应对。涵盖的主题包括：金融数学（时间价值、年金与永续年金、债券与利息理论、摊销）、概率论（概率分布、联合分布、变换、风险理论）和投资与金融市场（Black-Scholes定价、期权希腊字母、投资组合理论与CAPM、利率模型、衍生品）。

This is a comprehensive actuarial AI training dataset covering three SOA exams. Dataset summary is as follows: there are a total of 18,794 examples, with approximately 18,000 examples from the FM (Financial Mathematics) exam, 743 examples from the P (Probability) exam, and 37 examples from the IFM (Investment & Financial Markets) exam. The data format is JSONL, containing instruction-response pairs. Topics covered include: Financial Mathematics (time value of money, annuities and perpetuities, bonds and interest theory, amortization), Probability (probability distributions, joint distributions, transformations, risk theory), and Investment & Financial Markets (Black-Scholes pricing, option Greeks, portfolio theory & CAPM, interest rate models, derivatives).