VedantPadwal/quantitative-finance-reasoning
Dataset Description Dataset Summary This dataset contains question-answer pairs focused on quantitative finance, covering topics such as option pricing, stochastic calculus (Brownian motion, Itô's Lemma), probability theory, and financial modeling assumptions. Each instance includes a question, a detailed ground-truth solution (often resembling textbook explanations or interview answers), a multi-step reasoning trace generated by a Gemini Pro model, and a structured validation… See the full description on the dataset page: https://huggingface.co/datasets/VedantPadwal/quantitative-finance-reaso
| Author / organization | VedantPadwal |
|---|---|
| Downloads | 151 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 1 May 2025 |
| Last updated at source | 1 May 2025 |
Popularity, last 3 days
151 now (+12 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Description Dataset Summary This dataset contains question-answer pairs focused on quantitative finance, covering topics such as option pricing, stochastic calculus (Brownian motion, Itô's Lemma), probability theory, and financial m → Dataset Description Dataset Summary This dataset contains question-answer pairs focused on quantitative finance, covering topics such as option pricing, stochastic calculus (Brownian motion, Itô's Lemma), probability theory, and financial m
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.