datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
rare-disease-diagnosis
Rare Disease Diagnosis v1
Materialized task data for the deeprare-curated-phenotype/v1 agent benchmark in
T0-RSI/ai4sci-tasks.
The files preserve the materializer's host directory layout. This is a frozen
scientific case selection served from the current repository main; later Hub
commits may update packaging or documentation.
public/development/: labeled fit/tune examples for the agent.
public/verifier/: phenotype-only evaluation inputs.
public/reference/: read-only… See the full description on the dataset page: https://huggingface.co/datasets/zifeng-ai/rare-disease-diagnosis.Agricultural_pests_and_diseases_instruction_tuning_dataapproved_disease_target_drug
Approved Drug SMILES, Protein Sequence, and Disease MeSH DAG Dataset
This dataset provides a curated collection of approved drug's simplified molecular input line entry system (SMILES) with their corresponding protein sequences, and associated disease's MeSH directed acyclic graph (DAG) structures. The dataset mainly consists of three parts, i.e., approved drugs with their related protein targets, target data with their related disease information, and approved drugs with their… See the full description on the dataset page: https://huggingface.co/datasets/alimotahharynia/approved_disease_target_drug.Disease_Database
Citation
@misc{chen2024codinterpretablemedicalagent,
title={CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis},
author={Junying Chen and Chi Gui and Anningzhe Gao and Ke Ji and Xidong Wang and Xiang Wan and Benyou Wang},
year={2024},
eprint={2407.13301},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2407.13301},
}
plant-disease-detector
🌱 Plant Disease Detection - Vector Database
This dataset contains pre-computed embeddings and FAISS index for plant disease detection using a RAG (Retrieval-Augmented Generation) approach.
📊 Dataset Overview
Total Images: 54,304
Disease Classes: 38
Embedding Model: ResNet-50 (Microsoft)
Embedding Dimension: 2048
Index Type: FAISS IndexFlatIP (Cosine Similarity)
📁 Files
File
Size
Description
embeddings.npy
~440 MB
Pre-computed 2048-D… See the full description on the dataset page: https://huggingface.co/datasets/ugahost991/plant-disease-detector.symptom-based-disease-prediction-v1
Symptom-Based Disease Prediction Dataset (Confidence-Aware) – v1
📘 Overview
This dataset is an early-stage (Version 1) medical dataset created for symptom-based disease prediction using Large Language Models (LLMs).
Each record presents patient symptoms in an instruction-style prompt and returns multiple possible diseases grouped by confidence levels.The primary goal of this version is to establish structure, consistency, and reasoning format, not final model… See the full description on the dataset page: https://huggingface.co/datasets/Jainam-11/symptom-based-disease-prediction-v1.symptoms_disease_v1Open-Domain-Oral-Disease-QA-Dataset
Open-Domain-Oral-Disease-QA-Dataset
Dataset Details
Dataset Description
This dataset is meticulously designed to evaluate the diagnostic capabilities of Large Language Models (LLMs) in the domain of oral disease.
We currently offer a suite of evaluation datasets encompassing models such as GPT-3.5, GPT-4, Palm2, and Llama2-70B. More data is under reviewed. This dataset is meticulously designed to evaluate the diagnostic capabilities of Large Language Models… See the full description on the dataset page: https://huggingface.co/datasets/Lines/Open-Domain-Oral-Disease-QA-Dataset.Agricultural_pests_and_diseases_feature_alignment_data
Dataset License Information
This dataset is compiled from multiple public sources.Each source dataset is subject to its own license, as listed below.
Dataset Name
License
Source Link
AppleLeaf9
CC BY 4.0
https://github.com/JasonYangCode/AppleLeaf9?tab=readme-ov-file
LWDCD
CC0
https://aistudio.baidu.com/datasetdetail/231774
PlantVillage-Dataset-master
CC0 1.0
https://data.mendeley.com/datasets/tywbtsjrjv/1
Rice Leaf Disease Image samples
CC BY… See the full description on the dataset page: https://huggingface.co/datasets/Agri-LLaVA-Anonymous/Agricultural_pests_and_diseases_feature_alignment_data.disease-cash-crops
🌱 Plant Disease RAG System - Dataset Card
Overview
This Plant Disease RAG (Retrieval-Augmented Generation) system uses a comprehensive multi-crop disease database built from 5 Kaggle datasets, containing ~30,000+ images across multiple crop diseases.
🌾 Supported Crops
The system currently supports disease detection and diagnosis for the following 5 major Cash crops:
1. � Cassava (Manihot esculenta)
Dataset: Cassava Leaf Disease… See the full description on the dataset page: https://huggingface.co/datasets/ugahost991/disease-cash-crops.notifiable-disease-reporting-timeframes
US state notifiable disease reporting timeframes by condition
Canonical, always-current version: https://referencesource.org/notifiable-disease-reporting-timeframes/
Machine-readable: https://referencesource.org/notifiable-disease-reporting-timeframes/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-16
Stale after: 2027-08-16 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 334
State-by-state… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/notifiable-disease-reporting-timeframes.gaucher-disease-qa
Gaucher Disease QA
A long-form, multi-hop question answering dataset about Gaucher disease, a rare lysosomal storage disorder caused by mutations in the GBA1 gene.
Dataset Description
This dataset contains 25 expert-curated causal reasoning questions grounded in 20 biomedical articles covering the genetics, pathophysiology, clinical manifestations, and treatment of Gaucher disease. Each question requires synthesizing information from multiple source documents to produce a… See the full description on the dataset page: https://huggingface.co/datasets/jashparekh/gaucher-disease-qa.symptom-based-disease-prediction-v2
Symptom-Based Disease Prediction Dataset (Confidence-Aware) – v2
📘 Overview
Version 2 of the Symptom-Based Disease Prediction Dataset is an improved and more structured medical reasoning dataset designed for Large Language Models (LLMs) and AI-driven healthcare research.
This version introduces:
cleaner formatting,
improved disease grouping,
better confidence separation,
enhanced consistency,
and more fine-tuning-friendly outputs.
Each sample presents symptoms in… See the full description on the dataset page: https://huggingface.co/datasets/Jainam-11/symptom-based-disease-prediction-v2.statute-disease-hard-negatives
Attribute-differentiated hard negatives: statutes and disease
Three retrieval training sets built on the same principle: the negatives are
near-duplicates of the gold that differ on exactly one attribute, so the
only way to rank the gold first is to resolve that attribute. Topical
similarity is not enough to separate them, which is the point -- a retriever
trained on topically-separable data never learns fine-grained instance
discrimination.
config
rows
negs/row
query
BM25… See the full description on the dataset page: https://huggingface.co/datasets/bowang0911/statute-disease-hard-negatives.disease-scraped
disease-scraped
This dataset was uploaded automatically.
Similarity-matching-of-Chinese-disease-questions本数据来自平安医疗科技疾病问答
Given question pairs from five different disease types, we are required to determine whether the semantics of the two sentences are the same or similar.
骆迅,倪渊,汤步洲,雷健波. 基于竞赛视角探讨文本语义匹配技术在中文医学文本领域中的应用 [J]. 中国数字医学. 2021 (11)
Eye-Disease-Text-Datamedical-common-diseases-reasoning-SFTA Chain-of-Thought (CoT) dataset sample in Traditional Chinese focused on medical healthcare, featuring six prevalent outpatient diseases.
This dataset is only a sample for our research and development purposes. It should not be taken as official medical advice. If you experience any illness, please consult with a qualified healthcare professional.
普通感冒 (Common Cold) - samples from 0 to 49
流感 (Influenza) - samples from 50 to 100
腸胃炎 (Gastroenteritis) - samples from 101 to 151
支氣管炎… See the full description on the dataset page: https://huggingface.co/datasets/easonlai/medical-common-diseases-reasoning-SFT.wikisection_diseaseSymptoms_to_disease_7kAgricultural-Pest-Disease-Image-Annotation-Bounding-Box-Polygon-Detection
Agricultural Pest & Disease Image Annotation (Bounding Box/Polygon Detection)
For intelligent pest and disease recognition in the agriculture and livestock industry, this dataset provides target region annotations on raw plant/disease images. Annotation results support both bounding boxes and polygon shapes, enabling models to learn object locations and fine-grained contours. It covers common pest/disease targets and supplies strong supervision for detection and segmentation… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Agricultural-Pest-Disease-Image-Annotation-Bounding-Box-Polygon-Detection.Crop-Disease-Domain-MultimodalDisease_Database
Citation
@misc{chen2024codinterpretablemedicalagent,
title={CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis},
author={Junying Chen and Chi Gui and Anningzhe Gao and Ke Ji and Xidong Wang and Xiang Wan and Benyou Wang},
year={2024},
eprint={2407.13301},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2407.13301},
}
indonesian_disease_medicine_icd
Indonesian Disease, Medicine & ICD-10 Q&A Dataset
Dataset penyakit, pengobatan, dan kode ICD-10 untuk training model bahasa kesehatan Indonesia.
Deskripsi
Dataset ini berisi pasangan tanya-jawab tentang penyakit umum di Indonesia, kode ICD-10, pengobatan standar, dan obat-obatan dalam Bahasa Indonesia. Setiap jawaban mencakup:
Kode ICD-10 lengkap dengan subkategori
Gejala klinis utama
Pengobatan standar (farmakologi & non-farmakologi)
Nama obat spesifik beserta dosis… See the full description on the dataset page: https://huggingface.co/datasets/emylton/indonesian_disease_medicine_icd.adaption-neglected-tropical-diseases
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-neglected_tropical_diseases
This dataset integrates macro-level global R&D funding allocations with localized clinical triage text and environmental telemetry for high-burden Neglected Tropical Diseases (NTDs), including Dengue, Malaria, Trachoma, and Buruli ulcer. It preserves raw, multi-source formatting anomalies, including embedded JSON string blocks, mixed unit structures, and… See the full description on the dataset page: https://huggingface.co/datasets/asadullahdogarr/adaption-neglected-tropical-diseases.adaption-crop-disease-leaf-images
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-crop_disease_leaf_images
This dataset contains image-based samples for identifying various crop diseases affecting plants such as apples, corn, tomatoes, and rice. Each entry consists of a prompt requesting disease identification and a completion specifying the diagnosed condition, including healthy states. The data is formatted as prompt-completion pairs suitable for… See the full description on the dataset page: https://huggingface.co/datasets/RatnambarBaghel/adaption-crop-disease-leaf-images.Symtoms-Disease-LLama2-Formatadaption-crop-disease-leaf-images-v1
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-crop_disease_leaf_images
This dataset contains image-based samples for identifying various crop diseases affecting plants such as apples, corn, tomatoes, and rice. Each entry consists of a prompt requesting disease identification and a completion specifying the diagnosed condition, including healthy states. The data is formatted as prompt-completion pairs suitable for… See the full description on the dataset page: https://huggingface.co/datasets/RatnambarBaghel/adaption-crop-disease-leaf-images-v1.disease-corpussecurehealthiot-disease-dataset
SecureHealthIoT Cleaned Dataset
Cleaned symptom-disease dataset generated by Kaggle kernel run:
aryansingh21fd/securehealthiot-disease-trainer-v1.