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-0.2.24.tar.gz (21.9 kB view details)

Uploaded Source

Built Distribution

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

papertuner-0.2.24-py3-none-any.whl (21.1 kB view details)

Uploaded Python 3

File details

Details for the file papertuner-0.2.24.tar.gz.

File metadata

  • Download URL: papertuner-0.2.24.tar.gz
  • Upload date:
  • Size: 21.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for papertuner-0.2.24.tar.gz
Algorithm Hash digest
SHA256 97fb898151568fc39b653a8cf0a97c3e343aa0b21e73ee817cfed58c88f89f0c
MD5 5406a399b6a9dc12960a6fbaafcf002c
BLAKE2b-256 6793d43eac2fe1eaf668b7187ac74e5907d68849503d992f13a306b9dd4daf07

See more details on using hashes here.

Provenance

The following attestation bundles were made for papertuner-0.2.24.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-0.2.24-py3-none-any.whl.

File metadata

  • Download URL: papertuner-0.2.24-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-0.2.24-py3-none-any.whl
Algorithm Hash digest
SHA256 bb55a4b1a60e13a3defc0e7b3b968c782a35d6bb7de03e356e219a89c529b95a
MD5 cce1eeb3f2c17ec02db59cd7d807952d
BLAKE2b-256 d2c378ae5ba0de8443d8ff408ca7a4c68d24ee13a24f05c1919ed250089b2936

See more details on using hashes here.

Provenance

The following attestation bundles were made for papertuner-0.2.24-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