datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
plant-pathology-2021
Description
Dataset from the Plant Pathology 2021 (FGVC8) Challenge.
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For Plant Pathology 2021-FGVC8, we have significantly increased the number of foliar disease images and added additional disease categories. This year’s dataset contains approximately 23,000 high-quality RGB images of apple foliar diseases, including a large expert-annotated disease dataset. This dataset reflects real field scenarios by representing non-homogeneous backgrounds of leaf images taken at different… See the full description on the dataset page: https://huggingface.co/datasets/timm/plant-pathology-2021.Breast_Pathology_Image_JPG
BreastPathDB
BreastPathDB is a breast cancer histopathology dataset for whole-slide image based subtype classification. It contains 770 de-identified whole-slide images, including 165 H&E slides and 605 IHC slides, with clinical subtype labels, curated metadata, and patient-level train/validation/test splits.
The dataset is intended for computational pathology benchmarking, weakly supervised WSI classification, and cross-cohort method development.
Browse files and metadata… See the full description on the dataset page: https://huggingface.co/datasets/kmmuleelab/Breast_Pathology_Image_JPG.Panda-Discordant-Pathology-Errorsplant-pathology-2021
Description
Dataset from the Plant Pathology 2021 (FGVC8) Challenge.
'
For Plant Pathology 2021-FGVC8, we have significantly increased the number of foliar disease images and added additional disease categories. This year’s dataset contains approximately 23,000 high-quality RGB images of apple foliar diseases, including a large expert-annotated disease dataset. This dataset reflects real field scenarios by representing non-homogeneous backgrounds of leaf images taken at different… See the full description on the dataset page: https://huggingface.co/datasets/wuhuhuhu123/plant-pathology-2021.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.Plant-PathologyLung_Pathology_Image_JPGCLWD: a Chinese histopathology dataset for lung adenocarcinoma subtype classification
blood-pathology-lims-environment
Blood Pathology LIMS Environment
Blood Pathology LIMS Environment is an open clinical-agent benchmark that places a model inside a simulated hospital Laboratory Information Management System (LIMS). The agent must review pending pathology cases, inspect patient demographics, active medications, lab orders, current and previous lab results, reference ranges, and then submit an ICD-10-coded diagnostic report. The environment is designed to test whether a model can perform… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/blood-pathology-lims-environment.Lung-Fused-CT-Pathology
Lung-Fused-CT-Pathology — CT + segmentation masks
Radiology side of the TCIA collection Lung-Fused-CT-Pathology (Fused
Radiology-Pathology Lung), reformatted to co-registered NIfTI for the MedSphere /
EasyMedSeg segmentation suite. 6 patients with surgically-resected ground-glass
pulmonary nodules (lung adenocarcinoma); pre-operative chest CT was co-registered
with ex-vivo whole-slide histopathology to project the true extent of invasive
adenocarcinoma onto in-vivo CT.… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/Lung-Fused-CT-Pathology.asia-who-medical-and-pathology-laboratory-technicians
Medical and Pathology Laboratory Technicians (number) | Asia (WHO GHO)
🌏 221 observations · 32 Asia countries · 1983–2024 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 221 observations of Medical and Pathology Laboratory Technicians (number) data across 32 Asia countries, spanning 1983–2024, covering 1 distinct indicators.
About the source
Source: WHO Global Health Observatory
Publisher: World Health Organization
License:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-medical-and-pathology-laboratory-technicians.Pathology-Reports-Dataset
Dataset Description
This dataset is a large-scale collection of clinical pathology reports, containing data from 44,868 patients and 44,868 pathology report images, designed to support the development of advanced healthcare AI, medical NLP, document understanding, information extraction, and clinical decision-support systems.
The dataset consists of real-world pathology reports that capture diagnostic findings, specimen descriptions, pathological observations, and clinical… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Pathology-Reports-Dataset.africa-synth-cancer-pathology-histology-services-all
Pathology & Histology Services | 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-pathology-histology-services-all.the_speech_language_pathology_treatment_plannerpathology-corpus-sampleThis data set contains annotated samples of pathology nodes as described in our manuscript. They are part of the corpus that was used to train the models. We recommend using MedTator for viewing the files along with the dtd file published here.
blood-pathology-lims-environment
Blood Pathology LIMS Environment
Blood Pathology LIMS Environment is an open clinical-agent benchmark that places a model inside a simulated hospital Laboratory Information Management System (LIMS). The agent must review pending pathology cases, inspect patient demographics, active medications, lab orders, current and previous lab results, reference ranges, and then submit an ICD-10-coded diagnostic report. The environment is designed to test whether a model can perform… See the full description on the dataset page: https://huggingface.co/datasets/thesisDeath/blood-pathology-lims-environment.ssa-breast-pathology-histology
SSA Breast Pathology & Histology Dataset (Women, Multi-ancestry) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/ssa-breast-pathology-histology.europe-who-medical-and-pathology-laboratory-technicians
Medical and Pathology Laboratory Technicians (number) | Europe (WHO GHO)
🇪🇺 28 observations · 13 Europe countries · 2000–2024 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 28 observations of Medical and Pathology Laboratory Technicians (number) data across 13 Europe countries, spanning 2000–2024, covering 1 distinct indicators.
About the source
Source: WHO Global Health Observatory
Publisher: World Health Organization… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-medical-and-pathology-laboratory-technicians.Pathology-Retrieval-Benchmark
Pathology Retrieval Benchmark — Rerank Cache
Privacy-safe embedding cache for rerank-only reproduction (no document IDs or file paths).
Files
One Parquet file per query: entry_{id}.parquet (100 entries).
Schema
Column
Description
kind
query_text, query_image, or candidate
candidate_idx
0–19 for candidates; null for queries
score
Text-retrieval score (candidates only)
embedding
ColQwen multi-vector embedding (N, 128)
Each file… See the full description on the dataset page: https://huggingface.co/datasets/HZ-VUW/Pathology-Retrieval-Benchmark.gastrointestinal-pathology-datasetwsss-pathologyultrasound-breast-classification-combined-pathologyMultilingual-Pathology-Fairness
Multilingual-Pathology-Fairness
A comprehensive multilingual medical pathology dataset with fairness attributes and high-quality medical images for evaluating bias in medical AI systems across different languages and patient demographics.
Dataset Description
This dataset contains 949,872 medical pathology cases with:
Questions and answers in 7 languages
High-quality pathology images (0 per sample)
Fairness attributes injected into Q1 questions across all languages… See the full description on the dataset page: https://huggingface.co/datasets/JiayiHe/Multilingual-Pathology-Fairness.synthetic_pathologyTogootogtokh, E., & Klasen, C. (2025). Synthetic Pathology Dataset (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14974650
Link: https://zenodo.org/records/14974650
Github code repo: https://github.com/enkhtogtokh/voicegrpo
A synthetic dataset was generated to mimic realistic distributions of voice parameters (e.g., pitch, jitter,
shimmer, harmonic-to-noise ratio, age, and a continuous disease severity score). The pathological
labels were derived based on domain-inspired thresholds… See the full description on the dataset page: https://huggingface.co/datasets/enkhtogtokh/synthetic_pathology.pathology_reports_datasetmedmcqa-Pathology-responsesafrica-synth-cancer-cancer-pathology-histopathology-all
Cancer Pathology Histopathology 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-pathology-histopathology-all.gastrointestinal-and-liver-pathology-datasetafrica-who-medical-and-pathology-laboratory-scientists
Africa — WHO GHO: Medical and Pathology Laboratory scientists (number) | Africa (World Health Organization)
Size category: n<1K - 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
Health… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-who-medical-and-pathology-laboratory-scientists.openinterp-psae-v15-marginal-fit-pathology
PSAE v1.5 — Marginal-Fit Pathology Honest-Negative
Reproducibility artifacts for the paper The Marginal-Fit Pathology in
Predictive SAE Feature Trajectory Probes (workshop submission, NeurIPS MI
Workshop 2026).
TL;DR: We trained linear probes on Qwen3.6-27B residuals to predict
end-of-thinking SAE features from earlier-thinking residuals across L11/L31/L55.
Naive recall@1024 = 0.83-0.87 looked paper-grade. The shuffled-source baseline
B1 reproduces this within ±0.03 at all 12 sites.… See the full description on the dataset page: https://huggingface.co/datasets/caiovicentino1/openinterp-psae-v15-marginal-fit-pathology.africa-who-medical-and-pathology-laboratory-technicians
Africa — WHO GHO: Medical and Pathology Laboratory Technicians (number) | Africa (World Health Organization)
Size category: n<1K - 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-who-medical-and-pathology-laboratory-technicians.