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A Python based pipeline for extraction of species occurrence data through the usage of large language models. Includes validation tools designed to handle model hallucinations for a scientific, rigorous use of LLM. Currently supports usage of GPT with more planned, including local and non-proprietary models. For more details on the methodology used please consult the references listed under each function, such as Kent, A. et al. (1995) <doi:10.1002/asi.5090060209>, van Rijsbergen, C.J. (1979, ISBN:978-0408709293, Levenshtein, V.I. (1966) <https://nymity.ch/sybilhunting/pdf/Levenshtein1966a.pdf> and Klaus Krippendorff (2011) <https://repository.upenn.edu/handle/20.500.14332/2089>.
Version: | 0.1 |
Depends: | R (≥ 4.3.0) |
Imports: | terra, cld2, stringr, reticulate, pdftools, fedmatch, kableExtra, dplyr, gecko, methods, ggplot2, jsonlite, googledrive, irr, rmarkdown |
Suggests: | knitr |
Published: | 2025-10-20 |
DOI: | 10.32614/CRAN.package.arete (may not be active yet) |
Author: | Vasco V. Branco |
Maintainer: | Vasco V. Branco <vasco.branco at helsinki.fi> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | arete results |
Reference manual: | arete.html , arete.pdf |
Vignettes: |
Package workflow (source, R code) |
Package source: | arete_0.1.tar.gz |
Windows binaries: | r-devel: not available, r-release: arete_0.1.zip, r-oldrel: arete_0.1.zip |
macOS binaries: | r-release (arm64): arete_0.1.tgz, r-oldrel (arm64): arete_0.1.tgz, r-release (x86_64): arete_0.1.tgz, r-oldrel (x86_64): arete_0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.