Published July 17, 2024 | Version v2

FloraNER: a Named Entity Recognition Dataset for Botanical French Text

  • 1. ROR icon Institut de Systématique, Évolution, Biodiversité
  • 2. ROR icon Sorbonne Université
  • 3. ROR icon Unité de Modélisation Mathématique et Informatique des Systèmes Complexes
  • 4. ROR icon Institut Systèmes Intelligents et de Robotique
  • 5. ROR icon Cadi Ayyad University

Description

FloraNER is a Named-Entity Recognition (NER) dataset for botanical french literature. The dataset covers plant species names and plant morphological terms for both plant organs/characteristics and their descriptors. the descriptors are annotated both in a coarse-grained manner as the named entity type "DESCRIPTOR" and in a fine-grained manner, categorized into the following named-entity types: Form, Measure, Surface, Color, Position, Disposition, Structure, and Development. FloraNER is distantly annotated using a specialized botanical corpus. Consequently, it's important to note that not all named entities within the text are captured and annotated for the coarse-grained and fine-grained datasets.

Files

coarse-and-fine-grained-ner-dataset.csv

Files (12.2 MB)

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Additional details

Funding

European Commission
SOUND.AI - Sorbonne University for a New Deal on Artificial Intelligence 101081674