Multi-stage Phenotype Dataset of Brassica Cultivars with LLM-assisted Annotations

This dataset contains comprehensive phenotypic data for Brassica cultivars at two growth stages: early vegetative (seeding) and mature plant stages. The dataset includes RGB images, structured phenotype descriptions generated using large language model (LLM)-assisted schema-constrained annotation, and human-provided descriptive tags. DATASET CONTENTS: Seeding Dataset: 284 Brassica cultivars at early vegetative stage RGB images organized by cultivar ID Schema-constrained phenotype descriptions (JSON format) Human-annotated descriptive tags (partial coverage) LLM-assisted categorical grouping (7 categories) Mature Plant Dataset: 141 Brassica cultivars at mature growth stage RGB images organized by cultivar ID Schema-constrained phenotype descriptions (JSON format) DATA FORMATS: Images: JPEG format Phenotypes: Structured JSON following comprehensive botanical schema Tables: Tab-separated values (TSV) with flattened phenotype data Annotations: Plain text taginfo files Metadata: CSV manifests and JSON summaries METHODOLOGY: The phenotype annotations were generated using Claude Sonnet 3.7 with schema-constrained prompting to ensure consistent, structured, and botanically accurate descriptions. Human tags provide additional validation for the seeding dataset. DATA QUALITY ASSURANCE: MD5 checksums for all files ensure data integrity JSON schema validation for phenotype data Comprehensive manifests track all files No modification of raw data (rsync-based preservation) FAIR PRINCIPLES: This dataset is prepared following FAIR (Findable, Accessible, Interoperable, Reusable) principles: Persistent identifiers (DOI) Rich metadata and data dictionaries Standard file formats Clear licensing (CC-BY-4.0) Comprehensive documentation ARCHIVE CONTENTS: 1. seeding_dataset.tar.gz (1.8 GB) - Seeding stage data with images, phenotypes, annotations, and metadata2. mature_plant_dataset.tar.gz (2.1 GB) - Mature plant stage data with images, phenotypes, and metadata3. metadata.tar.gz (8.7 KB) - Dataset-level documentation, citations, and licenses Each archive includes MD5 checksum files for verification. INTENDED USE: Plant phenotyping research Computer vision model training Agricultural breeding programs Machine learning applications in agriculture Comparative phenotype analysis LLM annotation validation studies