| license: apache-2.0 | |
| task_categories: | |
| - question-answering | |
| - text-generation | |
| language: | |
| - en | |
| tags: | |
| - actuarial | |
| - finance | |
| - probability | |
| - insurance | |
| - exam-prep | |
| size_categories: | |
| - 10K<n<100K | |
| # Actuarial Exam FM & P Dataset v0.0.6 | |
| ## Dataset Description | |
| Comprehensive training dataset for actuarial AI models covering SOA Exam FM (Financial Mathematics) and Exam P (Probability). | |
| ### Dataset Summary | |
| - **Total Examples**: 18,757 | |
| - **Exam FM Examples**: ~18,000 | |
| - **Exam P Examples**: 743 | |
| - **Format**: JSONL with instruction-response pairs | |
| ### Example Structure | |
| ```json | |
| { | |
| "instruction": "Calculate the present value of a 10-year annuity...", | |
| "response": "To solve this problem, I'll use the annuity formula...", | |
| "type": "exam_fm_problem", | |
| "exam": "FM", | |
| "source": "generated_v006", | |
| "text": "Human: Calculate... Actuarial AI: To solve..." | |
| } | |
| ``` | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("morbidai/actuarial-exam-fm-p-dataset") | |
| ``` | |
| ## License | |
| Apache 2.0 | |