Skip to main content

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

Project description

# Research Methodology QA Dataset

## Overview
- Contains 2528 validated question-answer pairs
- Derived from 1288 research papers
- Domains: 92B05, 14-01, 13P25, 12Y05, 97M60, cond-mat.mes-hall, astro-ph.HE, 60J27, 97C42, 37Fxx, cond-mat.mtrl-sci, math.CT, q-fin.EC, physics.comp-ph, nucl-th, G.2.1, 92D15, 92D50, 82C40, 60J25, 60J75, q-bio.SC, 65, 70, 74, 76, 82, 92, 93, 94, cs.CY, cs.CR, q-bio.GN, cs.LO, G.3; I.5.3; J.3; K.8.1, 60, 92, 37N25, 92-10, 92C37, 92C40, math.RA, math.GT, 92-08, cs.MS, physics.ins-det, physics.class-ph, cond-mat.soft, 92Bxx, 92B99, cs.MA, D.2.12, 92D30, J.3, 14QXX, math.AP, cs.OH, physics.pop-ph, 37N25, 34C25, 34F05, 92D25, I.2.1, 37N25 (Primary), 34-04 (Secondary), cs.LG, q-bio.CB, astro-ph.SR, cs.AI, cs.RO, cond-mat.dis-nn, physics.atm-clus, q-fin.PR, 92D25 (Primary), 60J05 (Secondary), 34C05, 80A30, 68W15, A.1; I.2.1, 00-XX, 0-XX, 05c85 92b05, physics.soc-ph, cs.CG, I.6.6, E.1; F.2.2; G.2.1; J.3, cs.SI, 68, cs.DL, stat.AP, stat.CO, 92C42, cs.CL, 92-02, cond-mat.str-el, cs.IR, cs.DS, 92-04, nlin.PS, cs.SY, cs.SC, math.GM, 35Q92, 92-08, 49Q22, 91-10, 92-04, 74-10, 70-10, 35Q92, 37N25, 82C22, stat.ME, q-bio.OT, nlin.CD, 53C43, 53C07, 83C22, physics.ao-ph, math.CA, C.4, 35K25, 35K57, 35R09, 68, 92, cond-mat, J.3;F.4.2, 93A30; J3; 92B05; 65K05; 90C20, eess.IV, cs.IT, 05C10, 57M15, 35J70, 35B65, 42B37, 35B30 (Primary) 35J60, 35K55 (Secondary), 37N25, 37G15, 92-10, 34D20, 76-10 (Primary) 76T30, 76T06, 74A50, 80A22 (Secondary), G.3; J.3, Primary 60J27, 60J28, secondary 92B05, 92E20, 92C42, q-bio.PE, F.2;J.3, nlin.AO, physics.flu-dyn, math-ph, physics.optics, q-bio.TO, math.PR, math.GR, 37N25, 80A30, 92C45, 92E20, 14M25, 11Z05, eess.SP, quant-ph, 68T07, cs.HC, physics.acc-ph, physics.chem-ph, cs.ET, eess.SY, q-bio.NC, 68, 81, 92, cs.NA, 92Exx, 92C42, 14P10, 37N25, 14P05, physics.data-an, nlin.CG, 35R30, 35Q92, 35R11, 35K40, physics.med-ph, 37C10, 80A30, 92C40, 92D25, cs.CE, cs.SE, math.DG, 92E10;20B99, q-bio.BM, 93B52;93D20;35B35, 60H35, 65C99, 92C40, 92C37, math.HO, 92C50, physics.hist-ph, cs.NE, cs.AR, astro-ph, G.1.7; G.1.5, cs.DM, 92C37 92C42, stat.ML, math.LO, cs.CL, G.3 G.2.1, 78A70.82D55.35K25.35E05, adap-org, 93B15, 92B05, 05C85, cond-mat.other, I.2.7, cs.CC, hep-th, 92C42, 90B15, F.4; G.4; I.6; J.3, cs.GL, math.ST, 68Q25, 68Q17, 68R10, 05C85, 68W25, 92C42, 92C40, chao-dyn, q-bio, cs.PL, cs.PF, 92B05, 94A15, 94A17, 94-01, cond-mat.stat-mech, q-fin.CP, astro-ph.CO, math.DS, q-bio.QM, 60J85, 92D15, I.2, math.AG, G.1.6; J.3, 05A15, 06A25, 05C05, 92, J.3; I.2.8, 60J22, 65C05, 65Z05, 82B31, 92E20, econ.GN, 03B80, 92B05, 03B35, 03F07, math.NA, G.3; I.6.5; J.2; J.3, I.2; I.4, stat.TH, 92B05, 92C17, 92C15, 92D15, 34B60, 92B99, 65L05, 92C42 (Primary) 62F15, 97K80 (Secondary), Primary: 60J60 Secondary: 92D10, 92D15, 92D25, 01A75, 60-03, I.2.7; J.3; H.2.8, 92C37 (Primary), 35R35 (Secondary), physics.ed-ph, 92B08, cond-mat.supr-con, 94B 05B, stat.OT, astro-ph.EP, I.2.1; J.3, math.OC, 92B15, 62P10, physics.gen-ph, G.1.7; I.2.0, 92Cxx, math.IT, 92D25, 92B05, 60J85, 92-10, 92D10, 60J20, J.3; K.3; I.3.8, 92C17, 11T99 ; 05C20, cs.DB, cs.FL, 92C42, 62H30, 68T10, 37N25 34C15 37G15 34C26 92C60 92C80, math.CO, 37N25, 92C15, 92C42, comp-gas, 62P10, 92.08, cs.DC, 35K57, 35K55, 92D25, 92D99, math.MP, 92C42, 92C37, 92B05, physics.bio-ph, physics.app-ph, I.6.3;I.6.4;I.6.5, G.3, Comptuational science, math.AC, cs.CV, cs.GR, 82B20 (82B26), q-bio.MN, math.MG, 58J45, 35K57, 41A05, 41A25, 41A30, 41A63, 65D25, 65M20, 65M70,

46E22, 35B36, I.5.2

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

papertuner-0.2.22.tar.gz (22.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

papertuner-0.2.22-py3-none-any.whl (21.1 kB view details)

Uploaded Python 3

File details

Details for the file papertuner-0.2.22.tar.gz.

File metadata

  • Download URL: papertuner-0.2.22.tar.gz
  • Upload date:
  • Size: 22.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for papertuner-0.2.22.tar.gz
Algorithm Hash digest
SHA256 aa43a9bbc8c81fbf1a4b3dcd6e7b008ae2af3421d6506d36997637daf0d9de34
MD5 3d416b4b1c38d2b4a862d899ac7b97cc
BLAKE2b-256 d3ea466754b956d8ce1ba264011482981cadb155a4e1d28198a76049ab53c20b

See more details on using hashes here.

Provenance

The following attestation bundles were made for papertuner-0.2.22.tar.gz:

Publisher: release.yaml on Lyra-Lab/papertuner

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file papertuner-0.2.22-py3-none-any.whl.

File metadata

  • Download URL: papertuner-0.2.22-py3-none-any.whl
  • Upload date:
  • Size: 21.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for papertuner-0.2.22-py3-none-any.whl
Algorithm Hash digest
SHA256 b71ffd5046cb0d6b0700d26a118712922df53b0a5260a27619f2558724450174
MD5 8347cdd9008a7a91893d96e43a3b29b6
BLAKE2b-256 5743a65b6b1209da954ff8fac46cc4ad0b39835b2c633ea4f82ef34765729c89

See more details on using hashes here.

Provenance

The following attestation bundles were made for papertuner-0.2.22-py3-none-any.whl:

Publisher: release.yaml on Lyra-Lab/papertuner

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page