FloraNER : a new dataset for species and morphological terms named entity recognition in French botanical text Nainia, A. Vignes-Lebbe, R. /Chenin, Eric Sahraoui, M. Mousannif, H. Zahir, J. NER Dataset Biodiversity dataset Species identification dataset Plant morphology dataset 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. 2024 text https://www.documentation.ird.fr/hor/fdi:010091277 fdi:010091277 Nainia A., Vignes-Lebbe R., Chenin Eric, Sahraoui M., Mousannif H., Zahir J.. FloraNER : a new dataset for species and morphological terms named entity recognition in French botanical text. 2024, 56, 110824 [10 p.] EN NOUVELLE CALEDONIE