Horizon 1 1 17 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES Data in Brief 110824 [10 p.] NER Dataset Biodiversity dataset Species identification dataset Plant morphology dataset NOUVELLE CALEDONIE 2024 fdi:010091277 ENG Data in Brief 2352-3409 ISI:001299243700001 10.1016/j.dib.2024.110824 https://www.documentation.ird.fr/hor/fdi:010091277 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2024-10/010091277.pdf 56 Horizon (IRD) FloraNER is a distantly supervised named entity recognition dataset (NER). The dataset is built from botanical French literature extracted from the OCR-preprocessed flora of New Caledonia, provided by the National Museum of Natural History in France (MNHN), and distantly annotated with a botanical French corpus created by merging botanical lexicons available online. FloraNER comprises separate subdatasets for the recognition of plant species names, as well as coarse-grained and fine-grained botanical morphological terms. The resulting datasets are in CSV format, displaying textual data, identified named entities, and their annotations, covering one named entity type "Species" (Esp & egrave;ce in French) for species name identification, two named entity types "Organ" and "Descriptor" for coarse-grained morphological term identification, and eight named entity types for fine-grained morphological term identification: Organ, Descriptor, Form, Color, Development, Structure, Surface, Position, Disposition, and Measure. This dataset can be utilized to train and evaluate named entity recognition models for extracting information from botanical French literature. 076 ; 124 UR209 Maroc