papertuner 0.2.0

A package for creating ML research assistant models through paper dataset creation and model fine-tuning

# Research Methodology QA Dataset

## Overview
- Contains 717 validated question-answer pairs
- Derived from 369 research papers
- Domains: cs.RO, cs.HC, q-bio.SC, physics.data-an, 68, math.CO, cs.LO, cs.CC, physics.pop-ph, cs.ET, J.3, 92, eess.IV, cs.IR, stat.CO, 00-XX, 0-XX, 35J70, 35B65, 42B37, G.1.7; G.1.5, q-fin.EC, math.PR, stat.AP, cs.SY, cs.SE, Comptuational science, cs.SC, q-bio.NC, I.5.2, nlin.CD, 94B 05B, physics.optics, 92C37 (Primary), 35R35 (Secondary), cond-mat.stat-mech, cs.GL, cond-mat.other, math.RA, q-bio.QM, cond-mat.soft, physics.ed-ph, math.CA, cond-mat, physics.soc-ph, astro-ph.SR, Primary 60J27, 60J28, secondary 92B05, 92E20, 92C42, math.GT, 92C42, J.3; K.3; I.3.8, 58J45, 35K57, 41A05, 41A25, 41A30, 41A63, 65D25, 65M20, 65M70,

46E22, 35B36, cs.CY, cond-mat.dis-nn, physics.flu-dyn, cs.PF, cond-mat.str-el, G.3; I.6.5; J.2; J.3, quant-ph, cond-mat.mtrl-sci, astro-ph.EP, 92-08, math.AG, stat.ML, adap-org, physics.chem-ph, 37C10, 80A30, 92C40, 92D25, astro-ph, cs.LG, stat.ME, physics.gen-ph, 65, 70, 74, 76, 82, 92, 93, 94, cs.MS, cs.OH, math.DS, cs.DS, math.MP, physics.bio-ph, hep-th, F.4; G.4; I.6; J.3, physics.comp-ph, cs.MA, G.3; J.3, cs.CE, cs.PL, nlin.AO, q-bio.BM, cs.AI, physics.ins-det, 03B80, 92B05, 03B35, 03F07, math.OC, nlin.PS, cs.NE, q-bio.TO, cs.DL, eess.SY, q-bio.OT, 11T99 ; 05C20, math-ph, 60H35, 65C99, 92C40, 05C10, 57M15, 92Bxx, cs.DC, cs.SI, q-bio.CB, econ.GN, 92C42, 92C37, 92B05, math.AP, q-bio.GN, q-bio, physics.hist-ph, math.NA, 92B99, cs.CL, 92B05, 92C17, 92C15, 60J27, 97C42, 14QXX, 92C37 92C42, q-bio.PE, 92B15, 62P10, q-bio.MN, 92B05, 14-01, 13P25, 12Y05, 97M60, cs.GR

## Question Categories
Adaptation & Transfer, Architecture & Design, Theoretical Foundations, Future Directions, Implementation Strategy & Techniques, Handling Specific Challenges, Comparative Assessment, Ethical Considerations, Analysis & Interpretation, Methodology & Approach

## Fields
- `question`: Technical research methodology question
- `answer`: Detailed methodology answer
- `category`: Question category/type
- `paper_id`: Source paper identifier
- `paper_title`: Title of the source paper
- `categories`: arXiv categories