Viet Medi Species 2026

Taxonomic NormalisationSpecies were sourced from the Vietnamese Medicinal Plant Catalogue and matched to GBIF using the Species Match API to ensure global taxonomic consistency.2. Image AcquisitionImages were downloaded from GBIF using:Only occurrences with imagesUp to 130 images per speciesOriginal resolution (no thumbnails)An asynchronous pipeline enabled efficient large-scale downloading.3. Vietnamese Name CurationVietnamese names were manually curated through 320+ hours of validation using multiple authoritative sources.

Quality criteria included:Cross-verification from at least two sourcesLinguistic correctnessEvidence of medicinal or botanical use4. Metadata IntegrationAll taxonomic and linguistic data were merged into a unified bilingual dataset.(See pipeline diagram on page 3 of the paper for workflow overview.)⚠️ LimitationsLong-tail imbalance across speciesLimited representation for minority kingdoms (e.g., Bacteria)Some species (16%) lack Vietnamese namesDependent on GBIF data availability and geographic biasLicenseThis dataset contains two kinds of material, licensed separately.1.

Curated metadata and annotations: CC BY 4.0 The CSV metadata files, species list, taxonomic normalisation, Vietnamese vernacular names, class list, and data splits were created by the authors and are released under the Creative Commons Attribution 4.0 International licence (creativecommons.org/licenses/by/4.0/). You may share and adapt them for any purpose, including commercially, provided you give appropriate credit.2.

Images: original GBIF licences apply All images were retrieved from occurrence records published through the Global Biodiversity Information Facility (GBIF). Each image remains under the licence chosen by its original publisher, typically CC0 1.0, CC BY 4.0, or CC BY-NC 4.0. The authors do not own these images and do not relicense them.

Users are responsible for complying with the licence of each image, including the non-commercial restriction where it applies. The licence, publisher, and GBIF occurrence ID for each image can be looked up through the GBIF record linked in the metadata.Source records: GBIF.org (2026). AcknowledgmentThis dataset bridges Vietnamese traditional knowledge with global biodiversity systems, aiming to democratize access for Vietnamese-speaking researchers, practitioners, and communities.