datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
skin_cancer
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Original Paper and Dataset here
Kaggle dataset here
Introduction to datasets
Training of neural networks for automated diagnosis of pigmented skin lesions is hampered by the small size and lack of diversity of available dataset of dermatoscopic images. We tackle this problem by releasing the HAM10000 ("Human Against Machine with 10000 training images") dataset.… See the full description on the dataset page: https://huggingface.co/datasets/marmal88/skin_cancer.state-cancer-profiles
United States State Cancer Profiles data extract (mirror)
This is a mirror. Cite the Zenodo record, not this page:
Davis S. United States State Cancer Profiles data extract — vintage V3. Zenodo. https://doi.org/10.5281/zenodo.22085273
Concept DOI (always resolves to the latest vintage): https://doi.org/10.5281/zenodo.11098814
No DOI is minted on Hugging Face. HF hosts these bytes for native hf:// / DuckDB access and an ML audience that would never find the Zenodo record;… See the full description on the dataset page: https://huggingface.co/datasets/seandavis/state-cancer-profiles.skin-cancer-ham10000-datasetbreast-cancer-wisconsin
Breast Cancer Wisconsin Diagnostic Dataset
Following description was retrieved from breast cancer dataset on UCI machine learning repository.
Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. A few of the images can be found at here.
Separating plane described above was obtained using Multisurface Method-Tree (MSM-T), a classification method which uses linear… See the full description on the dataset page: https://huggingface.co/datasets/scikit-learn/breast-cancer-wisconsin.Refined-TCGA-PRAD-Prostate-Cancer-Pathology-Dataset
Note: Our 245 TCGA cases are ones we identified as having potential for improvement.
We plan to upload them in two phases: the first batch of 138 cases, and the second batch of 107 cases in the quality review pipeline, we plan to upload them around early of January, 2025.
Dataset: A Second Opinion on TCGA PRAD Prostate Dataset Labels with ROI-Level Annotations
Overview
This dataset provides enhanced Gleason grading annotations for the TCGA PRAD prostate cancer… See the full description on the dataset page: https://huggingface.co/datasets/Humanbased-AI/Refined-TCGA-PRAD-Prostate-Cancer-Pathology-Dataset.cancer-knowledge-base
Cancer Knowledge Base — the open, verified oncology KB for RAG & LLM evaluation
The only open CC-BY-4.0 oncology knowledge base that combines:
110/110 trials cited with PMID + NCT + PubMed/ClinicalTrials.gov URLs, and 32 prognosis
rows linked to verified SEER 2016–2022 references — no LLM-synthetic dataset has this.
A provable 152-question MCQ benchmark — every answer derives from this KB's own structured
data and carries a citation + golden docs, so it is open-book verifiable… See the full description on the dataset page: https://huggingface.co/datasets/ranjithraj/cancer-knowledge-base.cancer_data_classificationPan-Cancer-Nuclei-Seg
Pan-Cancer-Nuclei-Seg — Manual Subset
Gold-standard manual nucleus segmentation patches from the TCIA
Pan-Cancer-Nuclei-Seg resource (Hou et al., Scientific Data 2020): 1,356
manually segmented 256×256 H&E patches with per-nucleus instance masks,
spanning 14 TCGA cancer types.
Scope — please read. This repository contains only the manual subset,
not the full Pan-Cancer-Nuclei-Seg resource. The headline "~5 billion nuclei"
component (5,060 whole-slide images, ~666 GB of CSV… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/Pan-Cancer-Nuclei-Seg.DegaFiles_WTA_Preview_FFPE_Cervical_Cancer_outsxenium_Xenium_V1_Human_Lung_Cancer_Addon_FFPE_outs_pairbreast-cancer-africa-adjusted-dataset
Breast Cancer Africa Adjusted Dataset | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: not declared - Sector: health - 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.
What This Dataset Covers
Health datasets… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/breast-cancer-africa-adjusted-dataset.CancerMyth-TPQPresupposition-annotated TPQ split of CancerMyth.Example datapoint:
{
"source_type": "myth",
"source_row": 581,
"from_model": "gpt-4o",
"question": "Since my son has fully recovered from his heart tumor, we're planning a big celebration to mark the end of his health issues. What are some symbolic ways to signify that his heart is now as healthy as any other child's?",
"cancer": "Heart Tumors, Childhood",
"eval_few_shot_data": [
...
],
"id": 1016… See the full description on the dataset page: https://huggingface.co/datasets/shenranw/CancerMyth-TPQ.cancer_classificationPubMed-Cancer-NLP-Textual-Dataset
PubMed-Cancer-NLP-Textual-Dataset
This dataset has been obtained from PubMed for research purposes. README will be updated with time.
Dataset Details
Dataset Description
It has multiple cancer samples with labels with their title and abstract from PubMed Repository.
Curated by: Om Aryan
Dataset Sources
Repository: https://pubmed.ncbi.nlm.nih.gov
CancerGUIDE
Dataset Card for CancerGUIDE Synthetic Patient Data
Dataset Summary
CancerGUIDE Synthetic Patient Data contains synthetically generated oncology patient profiles paired with recommended treatments. The dataset was created using GPT-4.1 following the methodology described in the CancerGUIDE paper, employing both structured and unstructured generation approaches. The resulting data serves as a benchmark for evaluating and training large language models (LLMs) in… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/CancerGUIDE.Africa-Blood-Cell-Images-and-EHR-for-Cancer-Detection
Africa Blood Cell Images and EHR for Cancer Detection | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: health - 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.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Africa-Blood-Cell-Images-and-EHR-for-Cancer-Detection.lung-cancer
Dataset Card for Lung Cancer
Dataset Summary
The effectiveness of cancer prediction system helps the people to know their cancer risk with low cost and it also helps the people to take the appropriate decision based on their cancer risk status. The data is collected from the website online lung cancer prediction system .
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/lung-cancer.Xenium_Prime_Ovarian_Cancer_FFPE_XRrun_outs_row-group-parquetData obtained from https://www.10xgenomics.com/datasets
ivermectin-cancer-claims
Ivermectin / Mebendazole / Fenbendazole — Cancer Case Claims
Private research dataset. Unverified patient claims extracted from public X posts by repurposed-drug advocates. NOT medical advice. NOT for clinical decision-making. Intended for signal-mining research.
Last updated: 2026-04-23
Contents
Two forms of the same data.
Parquet subsets (HF-native, loadable via datasets.load_dataset):
config
rows
description
patients
~540
one row per unique patient (dedup'd… See the full description on the dataset page: https://huggingface.co/datasets/erinkhoo/ivermectin-cancer-claims.skin_lesion_cancerpan-cancer-nuclei-seg
Nuclear Aging Morphometry Dataset: TCGA Bladder Cancer Nuclei Features for Longevity Research
Dataset Description
This dataset provides nuclear morphometric features extracted from TCGA bladder cancer histopathology slides, specifically designed for aging and longevity research. The dataset contains quantitative shape measurements of >1M individual nuclei across multiple fields of view, enabling machine learning approaches to study cellular aging, senescence biomarkers… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/pan-cancer-nuclei-seg.multi-cancerhallmarks_of_cancerThe Hallmarks of Cancer (HOC) Corpus consists of 1852 PubMed publication
abstracts manually annotated by experts according to a taxonomy. The taxonomy
consists of 37 classes in a hierarchy. Zero or more class labels are assigned
to each sentence in the corpus. The labels are found under the "labels"
directory, while the tokenized text can be found under "text" directory.
The filenames are the corresponding PubMed IDs (PMID).Cancer-Myth
Cancer-Myth: Evaluating Large Language Models on Patient Questions with False Presuppositions
📃 Paper ｜ 📚 Cancer-Myth Data | 💻 Code ｜ 🌐 Website
⚡ Introduction
Cancer-Myth is an expert-verified dataset of 585 cancer-related questions that contain false presuppositions, designed to evaluate how well large language models (LLMs) handle misleading or incorrect assumptions in real patient queries. It highlights a key vulnerability in medical AI: even advanced… See the full description on the dataset page: https://huggingface.co/datasets/Cancer-Myth/Cancer-Myth.africa-synth-cancer-cancer-treatment-patterns-kenya-nigeria
Cancer Treatment Patterns - Kenya & Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: not declared - Sector: health - 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.
What This Dataset Covers
Health… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-cancer-cancer-treatment-patterns-kenya-nigeria.skin_cancer
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Original Paper and Dataset here
Kaggle dataset here
Introduction to datasets
Training of neural networks for automated diagnosis of pigmented skin lesions is hampered by the small size and lack of diversity of available dataset of dermatoscopic images. We tackle this problem by releasing the HAM10000 ("Human Against Machine with 10000 training images") dataset.… See the full description on the dataset page: https://huggingface.co/datasets/vnny2/skin_cancer.Breast-Cancer-Gen-Expression-Dataset🧬 RNA-seq Gene Expression Data for Predicting Neoadjuvant Chemotherapy Response
Overview
The Breast Cancer Gene Expression Dataset contains RNA-seq gene expression profiles from 58 breast cancer patients treated with neoadjuvant chemotherapy (NAC).The dataset is processed and cleaned from the publicly available NCBI GEO dataset GSE280902 and is designed for machine learning, bioinformatics, and translational cancer research.
The primary goal of this dataset is to support… See the full description on the dataset page: https://huggingface.co/datasets/mubashir1837/Breast-Cancer-Gen-Expression-Dataset.africa-synth-cancer-cancer-surgery-outcomes-africa-comoros
Cancer Surgery Outcomes Africa | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - 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.
What This Dataset Covers
Health datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-cancer-cancer-surgery-outcomes-africa-comoros.skin_cancer
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Original Paper and Dataset here
Kaggle dataset here
Introduction to datasets
Training of neural networks for automated diagnosis of pigmented skin lesions is hampered by the small size and lack of diversity of available dataset of dermatoscopic images. We tackle this problem by releasing the HAM10000 ("Human Against Machine with 10000 training images") dataset.… See the full description on the dataset page: https://huggingface.co/datasets/safal-singh/skin_cancer.cancer-risk-factors-data
🧬 Cancer Risk Factors & Types (2,000 Rows)
Author: Tarek Masryo · KaggleLicense: CC BY 4.0 (Attribution) — Free for research, education, and commercial use
📌 Dataset Summary
Clean, standardized tabular dataset linking lifestyle, environmental, and genetic factors to five cancer types.
2,000 rows × 21 columns
Encodings: ordinal exposure indices (0–10), demographics (Age, BMI, Gender), binary flags (0/1) for family/genetics/infection
Includes engineered fields:… See the full description on the dataset page: https://huggingface.co/datasets/tarekmasryo/cancer-risk-factors-data.