datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
OpenEar_developmental_status_classification
Openear Developmental Status Classification
This dataset provides real-world RGB images of maize ears collected in a field environment at Hongqi Base, Hainan, China, for developmental status classification. Images were captured using a ground-based Raspberry Pi HQ camera system with a Sony IMX477R sensor during the 2025-2026 growing season, offering high-resolution visual data for distinguishing between abnormal and normal developmental stages. The dataset contains 6,435 images… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/OpenEar_developmental_status_classification.africa-who-children-aged-36-59-months-who-are-developmentally-on-track
Children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development and learning (%) | Africa (WHO GHO) | Africa (World Health Organization)
Size category: n<1K - Formats: parquet - Sector: education - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-who-children-aged-36-59-months-who-are-developmentally-on-track.africa-owid-proportion-of-children-developmentally-on-track
Proportion Of Children Developmentally On Track | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: parquet - Sector: other_unclassified - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-proportion-of-children-developmentally-on-track.europe-unsdg-net-official-development-assistance-oda-to-ldcs-as-a-pe-dc-oda-ldcgthe_intellectual_and_developmental_disability_treatment_plannerthe_mental_retardation_and_developmental_disability_treatment_plannerasia-who-children-aged-36-59-months-who-are-developmentally-on-trackasia-unsdg-net-official-development-assistance-oda-to-ldcs-as-a-pe-dc-oda-ldcgeurope-unsdg-net-official-development-assistance-oda-as-a-percentage-dc-oda-totgasia-unsdg-net-official-development-assistance-oda-as-a-percentage-dc-oda-totgDevelopmentandDataofLLMswithEnhancedKoreanLanguagePerformance데이터에 <NAME>과 같은 비식별화가 되어 있다. 이거 참고해서 사용해야 함.데이터 필더할 때, 비식별화 되어 있는 데이터는 따로 전처리 하지 않음