quantitative
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 of… See the full description on the dataset page: https://huggingface.co/datasets/VedantPadwal/quantitative-finance-reasoning.Quantitative101Quantitative_Mapping_of_Computational_Boundaries
Quantitative Mapping of Computational Boundaries
A Statistical Field Theory Approach to Phase Transitions in NP-Hard Problems
Author: Zixi Li (Oz Lee)
Affiliation: Noesis Lab (Independent Research Group)
Contact: lizx93@mail2.sysu.edu.cn
Overview
Classical computability theory tells us that computational boundaries exist (halting problem, P vs NP), but it doesn't answer: where exactly are these boundaries?
This paper presents the first quantitative mapping of… See the full description on the dataset page: https://huggingface.co/datasets/OzTianlu/Quantitative_Mapping_of_Computational_Boundaries.quantitative_finance_datasetquantitative_stats_25kquantitative_haskell-conversations