datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
diseasesAgri-LLaVA_Agricultural_Pests_And_Diseases_Feature_Alignment_Dataset
Agri-LLaVA
Agri-LLaVA is a large multimodal instruction dataset for agriculture, pairing crop/leaf images with multi-turn diagnostic conversations about plant diseases, pests, and nutrient deficiencies. It is compiled from 16 public source datasets (see the license table below).
This dataset has been converted to Parquet format with image bytes embedded directly, standardized to the HF image_text_to_text format with a single conversational messages schema.
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Agri-LLaVA_Agricultural_Pests_And_Diseases_Feature_Alignment_Dataset.risk-factors-verifyopus-doctor-patient-conversations-all-human-diseases
Opus-4.8-High-Thinking generated Doctor-Patient Conversations for All Human Diseases
Covers every human disease listed on my previous work here: nisten/all-human-diseases
The dataset strictly used Opus 4.8 - High and was cleaned over 3 times via Opus 4.8, 4.7 and 4.6. Minor corrections were needed upon each pass mainly to bypass single word safety filters like i.e. monkeypox.
The main hallucination noticed during generation was that Opus would make up wrong PMID ( PubMed ID )… See the full description on the dataset page: https://huggingface.co/datasets/nisten/opus-doctor-patient-conversations-all-human-diseases.qasrisks-factorsPlant-Diseases-PlantVillage-Dataset
Dataset Card for Dataset Name
Train and Test (20%) splits for the PlantVillage-Dataset on the subject of plant disease
@article{Mohanty_Hughes_Salathé_2016,
title={Using deep learning for image-based plant disease detection},
volume={7},
DOI={10.3389/fpls.2016.01419},
journal={Frontiers in Plant Science},
author={Mohanty, Sharada P. and Hughes, David P. and Salathé, Marcel},
year={2016},
month={Sep}}
Dataset Details
Dataset Description
Curated by: [More… See the full description on the dataset page: https://huggingface.co/datasets/BrandonFors/Plant-Diseases-PlantVillage-Dataset.Oral_Diseasescorn-leaf-diseases-pests-and-deficiencies
Corn Leaf Diseases, Pests and Deficiencies
Dataset de imágenes de hojas de maíz para la clasificación de enfermedades, plagas y deficiencias nutricionales. Forma parte de Doctor Maíz, un sistema de diagnóstico offline pensado para pequeños agricultores de El Salvador.
Sobre este corpus se entrenó el modelo desplegado en la aplicación móvil del proyecto: EfficientNet-Lite0 cuantizado a Int8, de 3.5 MB, con macro-F1 de 0.9468 sobre un conjunto de prueba independiente de 5 015… See the full description on the dataset page: https://huggingface.co/datasets/daiv05/corn-leaf-diseases-pests-and-deficiencies.classification-itemsnew-plant-diseases-dataset
Dataset Card for "New-Plant-Diseases-Dataset"
More Information needed
cassava_leaf_diseases_dsa_2023Agricultural_pests_and_diseases_instruction_tuning_dataDiseases_Dataset
🩺 Diseases Dataset
A consolidated medical dataset combining disease names, symptoms, and treatments collected from multiple public datasets across Hugging Face and Kaggle. This dataset can be used for building disease prediction, symptom clustering, and medical assistant models.
📦 Dataset Summary
Field
Type
Description
Disease
string
Name of the disease or condition
Symptoms
string
List of symptoms or Description of symptomps
Treatments
string
(Optional)… See the full description on the dataset page: https://huggingface.co/datasets/kamruzzaman-asif/Diseases_Dataset.plant-diseases-100kDiseases_Symptoms
Dataset Details
The data was sourced from various medical websites accessible through Google search.
Dataset Information: 400 x 4
Dataset Description
Code [More Information Needed]
Name: [More Information Needed]
Symptoms [More Information Needed]
Treatments [More Information Needed]
mayo_clinic_symptoms_and_diseases_v1
Dataset Card for "mayo_clinic_symptoms_and_diseases_v1"
More Information needed
plant-diseases-datasetTobacco_Leaf_DiseasesInternational_Classification_Diseases_Clinical_Modification_icd10cm_order_April_2024genetic_diseases_qaasia-who-uhc-service-coverage-sub-index-on-noncommunicable-diseases
UHC Service Coverage sub-index on noncommunicable diseases | Asia (WHO GHO)
🌏 1,152 observations · 48 Asia countries · 2000–2023 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 1,152 observations of UHC Service Coverage sub-index on noncommunicable diseases data across 48 Asia countries, spanning 2000–2023, covering 1 distinct indicators.
About the source
Source: WHO Global Health Observatory
Publisher: World Health… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-uhc-service-coverage-sub-index-on-noncommunicable-diseases.all-human-diseases
DRAFT LIST OF ALL HUMAN DISEASES
Way more data coming.
License is AGPL to avoid predatory players, I don't care if you or your startup use it.
If you see an issue comment on huggingface or this google doc.
https://docs.google.com/spreadsheets/d/14MYgMc9CZOZEdp63utIxvATTtTIVzj1RSjf1jAUtWiM/edit?usp=sharing
Scientific evidence-based medicine only, no opinions please. I repeat, ZERO OPINIONS please.
Sources:
https://www.cdc.gov/health-topics.html… See the full description on the dataset page: https://huggingface.co/datasets/nisten/all-human-diseases.Dataset-of-oral-mucosal-diseasesThe dataset consists of 1,348 high-quality oral images from cell phones, cameras, and literature collections. The images were categorized by domain experts as normal, oral leukoplakia (OLK), oral lichen planus (OLP), oral submucous fibrosis (OSF), and oral cancer (OCA).
The naming convention of all images was standardized to the "category number - image number" format. The folder names correspond to the category numbers (1-5), i.e. Normal (1), OLK (2), OLP (3), OSF (4) and OCA (5).
If using… See the full description on the dataset page: https://huggingface.co/datasets/HRruiH/Dataset-of-oral-mucosal-diseases.Agriculture-Plan-Diseases-QA-Pairs-Dataset
Agriculture-Plan-Diseases-QA-Pairs-Dataset
Released freely — support more experiments like it:
More: https://huggingface.co/YuvrajSingh9886
ahsanneural_rare-diseases-orphadata-2026
Rare Diseases - Orphadata 2026
11,456 rare diseases with genes, prevalence, inheritance & medical codes
Dataset Info
Source: Kaggle
Original Size: 1.26 MB
Kaggle Downloads: 433
Files: 5
Files
rare_diseases_complete.csv
rare_diseases_genes.csv
rare_diseases_info.csv
rare_diseases_natural_history.csv
rare_diseases_prevalence.csv
Mirrored from Kaggle
biobert-ner-diseases-dataset
Dataset Card for "biobert-ner-diseases-dataset"
More Information needed
disease-symptoms-chatMaize_Leaf_Diseasesahsanneural_rare-neurological-diseases-mri-curated-edition
Rare Neurological Diseases MRI - Curated Edition
2K curated MRI scans, 5 diseases, ML-ready splits
Dataset Info
Source: Kaggle
Original Size: 51.62 MB
Kaggle Downloads: 89
Files: 2002
Files
Mirrored from Kaggle