Training and development dataset for information extraction in plant epidemiomonitoring

DOI

The “Training and development dataset for information extraction in plant epidemiomonitoring” is the annotation set of the “Corpus for the epidemiomonitoring of plant”. The annotations include seven entity types (e.g. species, locations, disease), their normalisation by the NCBI taxonomy and GeoNames and binary (seven) and ternary relationships. The annotations refer to character positions within the documents of the corpus. The annotation guidelines give their definitions and representative examples. Both datasets are intended for the training and validation of information extraction methods.

Identifier
DOI https://doi.org/10.57745/ZDNOGF
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/ZDNOGF
Provenance
Creator MaIAGE; Plateforme ESV
Publisher Recherche Data Gouv
Contributor Claire Nédellec; Marie Grosdidier; Louise Deléger; Robert Bossy; Mouhamadou Ba; Sandy Duperier; Isabelle Pieretti; Clara Sauvion; Catalina Garcia; Eric Verdin; Jean-Pierre Thermoz; Nicolas Sauvion; Christophe Le May; Jean-Michel Hily; Guillaume David; Philippe Reynaud; Xavier Foissac; Cica Urbino; Anne Quillevere; Delphine Massé; Sylvie Malembic-Maher; Frédéric Suffert; Emmanuel Wicker; Frédérique Hilliou; Jaime Aguayo; Pascal Frey; Jean-Claude Streito; Catherine Abadie; Sylvie Dallot; Davide Martinetti; Sara Tramontini; Alexia Antoniou; MaIAGE; Plateforme ESV; Cirad; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2025
Funding Reference Agence nationale de la recherche ANR-20-PCPA-0002 ; INRAE ; PIA DATAIA
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Claire Nédellec (INRAE); Marie Grosdidier (INRAE)
Representation
Resource Type Dataset
Format application/zip
Size 479001
Version 1.0
Discipline Agriculture, Forestry, Horticulture; Computer Science; Life Sciences; Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Medicine