datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
motor-medicina-legala-v2-storagemedicinal_plant_classification_bd
Medicinal Plant Classification Bd
This dataset contains real RGB images of medicinal plants native to Bangladesh, captured in a controlled laboratory environment. Images were collected using handheld smartphones during the summer months (July to August), providing a diverse and standardized representation of plant specimens under consistent lighting and background conditions. The dataset contains 5,000 images across 10 classes: Bohera, Devilbackbone, Haritoki, Lemongrass… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/medicinal_plant_classification_bd.medicinal_leavesDIMPSAR_medicinal_leaf_classification
DIMPSAR Medicinal Leaf Classification
A dataset for variety classification of medicinal plant leaves. The dataset contains 6,900 images across 80 classes:
Images per class:
Aloevera: 118
Amla: 67
Amruthaballi: 91
Arali: 89
Astma_weed: 82
Badipala: 76
Balloon_Vine: 61
Bamboo: 118
Beans: 97
Betel: 114
Bhrami: 104
Bringaraja: 73
Caricature: 76
Castor: 129
Catharanthus: 134
Chakte: 68
Chilly: 69
Citron lime (herelikai): 99
Coffee: 83
Common rue(naagdalli): 67
Coriender: 115
Curry:… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/DIMPSAR_medicinal_leaf_classification.medicinal-plantsA growing dataset about medicinal plants. We plan to construct a multimodal dataset with images and text content extracted from
books that went out of copywrite and
diverse and high-quality video data taken via smart phone and various lenses with a DSLR camera (24mm Macro, 50mm, 100mm Macro and a 24-120mm Zoom lens).
Parts of the iNaturalist and PlantNet300K datasets will be integrated as well to cover a wide spectrum of the kingdom Plantae.
The resulting dataset should be able to power a… See the full description on the dataset page: https://huggingface.co/datasets/mikehemberger/medicinal-plants.DIMPSAR_medicinal_plant_classification
Dimpsar Medicinal Plant Classification
A dataset for variety classification of medicinal plants. The dataset contains 5,945 images across 40 classes:Images per class:
Aloevera: 164
Amla: 146
Amruta_Balli: 146
Arali: 146
Ashoka: 146
Ashwagandha: 146
Avacado: 146
Bamboo: 146
Basale: 146
Betel: 151
Betel_Nut: 146
Brahmi: 146
Castor: 160
Curry_Leaf: 146
Doddapatre: 146
Ekka: 146
Ganike: 115
Gauva: 146
Geranium: 146
Henna: 150
Hibiscus: 165
Honge: 146
Insulin: 146
Jasmine: 187… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/DIMPSAR_medicinal_plant_classification.medicinal-leaf-classification-dataset
🌿 Medicinal Leaf Classification Dataset
An image dataset of 3 medicinal plant leaves — Aloe Vera, Neem, and Tulsi — used to train and evaluate deep learning classifiers.
Dataset Summary
Property
Value
Total Images
~7,380 (train + val)
Classes
3
Image Format
JPEG / PNG
Task
Image Classification
Classes
Index
Class
Train+Val Images
Test Images
0
Aloe Vera
—
183
1
Neem
—
453
2
Tulsi
—
284
Splits… See the full description on the dataset page: https://huggingface.co/datasets/poojan-s/medicinal-leaf-classification-dataset.motor-medicina-legala-v2-cartitest-medicina
Medschool-Test, or "Test di Medicina"
Is your LLM able to pass a National Entrance Exam for the Italian Medical School?
This the GitHub repo for our Hugging Face dataset designed for evaluating Large Language Models (LLMs) on a broad range of questions from the national entrance exams for the Italian medical school (ORIGINAL WEBSITE).
The dataset includes multiple-choice questions from various subjects such as biology, chemistry, physics, mathematics, world… See the full description on the dataset page: https://huggingface.co/datasets/room-b007/test-medicina.test-medicinaThis dataset includes 3301 undergraduate-level questions sourced from national placement tests required to access the 6-year-long Medical School in Italian universities. These questions are divided into 5 topics: Biology, Chemistry, General Knowledge, Maths & Physics, and Logic.
Published in Buonocore et al., 2026.
How to cite
If you use this dataset, please cite it as:
Buonocore TM, Russo A, Mingarelli D, Parimbelli E (2026) Generalist large language models in a specialized world:… See the full description on the dataset page: https://huggingface.co/datasets/Detsutut/test-medicina.MedicinaInternamiur-medicina-preclinica
Esame di Stato per l’abilitazione alla professione di Medico Chirurgo – Area Pre-Clinica
Overview (ENG)
This dataset includes 6696 postgraduate-level questions sourced from the national medical licensing examination necessary to practice the medical profession. These questions are split into two sub-areas. The clinical area includes 3390 questions related to the clinical practice, spanning over 9 different topics: General Surgery, Specialized Surgery, Internal Medicine… See the full description on the dataset page: https://huggingface.co/datasets/Detsutut/miur-medicina-preclinica.indian-medicinal-plants
Dataset Card for "indian-medicinal-plants"
More Information needed
Barcenas-Medicina-DPOEste dataset en formato DPO para un entrenamiento por refuerzo, contiene 10,000 ejemplos de medicina de diversos campos como: Medicina General, Cerebro y nervios, Pulmón y vías respiratorias, Riñones y sistema urinario, Sistema digestivo, Hemodiálisis, etc.
Estos datos fueron creados de manera sintética por GPT 3.5 Turbo.
This dataset in DPO format for reinforcement learning contains 10,000 medical examples from various fields such as: General Medicine, Brain and Nerves, Lungs and Respiratory… See the full description on the dataset page: https://huggingface.co/datasets/Danielbrdz/Barcenas-Medicina-DPO.medicina-tutor
Dataset Medicina Tutor - Pregrado
Descripción
Este dataset contiene material educativo de medicina de pregrado diseñado para entrenar modelos de IA que actúen como tutores médicos. El dataset incluye preguntas, respuestas, casos clínicos y conceptos fundamentales de medicina.
Características
Idioma: Español
Nivel: Pregrado de Medicina
Formato: Texto estructurado
Aplicación: Tutoría de IA para estudiantes de medicina
Estructura del Dataset… See the full description on the dataset page: https://huggingface.co/datasets/DRDELATV2025/medicina-tutor.Indian_Medicinal_Plants_and_Leaf_Dataset_Large
Project Documentation: Identification of Medicinal Plants/Raw Materials through Image Processing Using Machine Learning
Ministry of AYUSH - Student Innovation Hackathon (SIH1343)
Project Overview:
Our project aims to address the challenge of accurately identifying medicinal plant species and raw materials through the use of a web application. Leveraging image processing and machine learning algorithms, the application allows users to upload or capture images of… See the full description on the dataset page: https://huggingface.co/datasets/sydney31/Indian_Medicinal_Plants_and_Leaf_Dataset_Large.miur-medicina-clinica
Esame di Stato per l’abilitazione alla professione di Medico Chirurgo – Area Clinica
Overview (ENG)
This dataset includes 6696 postgraduate-level questions sourced from the national medical licensing examination necessary to practice the medical profession. These questions are split into two sub-areas. The clinical area includes 3390 questions related to the clinical practice, spanning over 9 different topics: General Surgery, Specialized Surgery, Internal Medicine, Legal… See the full description on the dataset page: https://huggingface.co/datasets/Detsutut/miur-medicina-clinica.medicina-qa-dpo-orpo-format-essea-medicinal-plants
license: cc0-1.0
task_categories:
- text-classification
- table-to-text
- knowledge-base
language:
- en
pretty_name: Southeast Asian Medicinal Plants
size_categories:
- 1K<n<10K
Medicinal Plants in Southeast Asia
📖 Description
This dataset lists commonly used medicinal plants in Southeast Asia, including their local names, plant types, and traditional uses.
Useful for:
Herbal medicine research
Knowledge-based AI systems
NLP and educational tools
Cultural… See the full description on the dataset page: https://huggingface.co/datasets/jomarie04/sea-medicinal-plants.spanish-medicina-general-corpus
Spanish Medical General Corpus
Historical Spanish-language content collected via the Wayback Machine (Internet Archive).
Dataset Summary
Language: Spanish (es)
Sources: webconsultas.com, consumer.es/salud, elmedicointeractivo.com and more
Period: 2005-2023
Topics: salud, medicina, enfermedades, tratamientos, síntomas...
License: Public archive snapshots. Verify rights before commercial use.
Features
Each record includes automatic labeling:
topics: detected… See the full description on the dataset page: https://huggingface.co/datasets/Pepere45/spanish-medicina-general-corpus.Indian_Medicinal_Plants_and_Leaf_Dataset_Large
Project Documentation: Identification of Medicinal Plants/Raw Materials through Image Processing Using Machine Learning
Ministry of AYUSH - Student Innovation Hackathon (SIH1343)
Project Overview:
Our project aims to address the challenge of accurately identifying medicinal plant species and raw materials through the use of a web application. Leveraging image processing and machine learning algorithms, the application allows users to upload or… See the full description on the dataset page: https://huggingface.co/datasets/PROFESSOR-DJ/Indian_Medicinal_Plants_and_Leaf_Dataset_Large.test_medicina_evalmedicinal_plant_imagesmedicina-qa-binarized-dpo-orpo-esvietnamese-medicinal-herb-vqa
Vietnamese Medicinal Herb VQA
This dataset contains Vietnamese visual question answering samples for medicinal herbs and traditional medicinal materials.
Each JSONL row has the following fields:
{
"id": "P000002676",
"name": "Cây Hẹ",
"image": "images/P000002266.jpg",
"question": "Hoa trong ảnh có màu gì?",
"answer": "Màu trắng"
}
Splits
Split
Images
QA pairs
Train
3032
23211
Validation
379
2998
Test
380
2952
The test split includes a… See the full description on the dataset page: https://huggingface.co/datasets/gdllelf/vietnamese-medicinal-herb-vqa.Indian_medicinal_plant_image_datasetmedicinal_leavestest_medicinamedicinavivaPrirodna_medicina_v2