Nainia A. auteur aut IRD Vignes-Lebbe R. auteur aut IRD Chenin Eric auteur aut IRD Sahraoui M. auteur aut IRD Mousannif H. auteur aut IRD Zahir J. auteur aut IRD text journalArticle eng text/pdf reformatted digital access 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. specialized NER Dataset Biodiversity dataset Species identification dataset Plant morphology dataset NOUVELLE CALEDONIE 076 124 56 110824 [10 p.] 2024 2352-3409 https://www.documentation.ird.fr/hor/fdi:010091277 10.1016/j.dib.2024.110824 2352-3409 [F B010091277] https://www.documentation.ird.fr/hor/fdi:010091277 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2024-10/010091277.pdf IRD - Base Horizon / Pleins textes 2024-10-23 2025-11-06 fdi:010091277 fre