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-0.2.25.tar.gz (22.6 kB view details)

Uploaded Source

Built Distribution

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

papertuner-0.2.25-py3-none-any.whl (21.6 kB view details)

Uploaded Python 3

File details

Details for the file papertuner-0.2.25.tar.gz.

File metadata

  • Download URL: papertuner-0.2.25.tar.gz
  • Upload date:
  • Size: 22.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for papertuner-0.2.25.tar.gz
Algorithm Hash digest
SHA256 9e01eed880d4c2c03acda86b4d850bb4c10a663d9a83fd2def88472a8d9eacef
MD5 427249f9458feec7b99677b1ea4aae9f
BLAKE2b-256 6e0a849cd4a2437e38d8ebe7888f4ec12cc9fd9346386fb54652186e83944bfe

See more details on using hashes here.

Provenance

The following attestation bundles were made for papertuner-0.2.25.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-0.2.25-py3-none-any.whl.

File metadata

  • Download URL: papertuner-0.2.25-py3-none-any.whl
  • Upload date:
  • Size: 21.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for papertuner-0.2.25-py3-none-any.whl
Algorithm Hash digest
SHA256 bdfc5bb573c1781dfad1c8641bade5254c5a120462e3dc0a4e64a20204cb22c1
MD5 7ffd40ae0c8b4d6b34a778b455c5e212
BLAKE2b-256 a61f050ce1881e89b5d99a333a5fc77891b341bcee79092d21827b8db56823ad

See more details on using hashes here.

Provenance

The following attestation bundles were made for papertuner-0.2.25-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