datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RADIORadFAQs_Radiology_Imaging_Health_QA_Dataset
RadFAQs — Radiology & Imaging Health Q&A Dataset (Nepali)
Overview
This dataset (radfaqs_health_qa_nepali_all_nepali.jsonl) is a large, single-source collection of 1,235 instruction-following conversation pairs in Nepali, entirely focused on radiology and medical imaging — CT scans, MRI, X-rays, ultrasound, PET scans, bone density (DEXA) tests, echocardiograms, angiography, radiotherapy/brachytherapy, and related procedures. Each record is a single-turn human↔gpt… See the full description on the dataset page: https://huggingface.co/datasets/sabin1234/RadFAQs_Radiology_Imaging_Health_QA_Dataset.lost-frequency-radio-transmissions
Lost Frequency Radio · Transmissions
Roughly 786 short, surreal radio transmissions in chat format (system / user / assistant), in Spanish and English, for fine-tuning small models as scriptwriters for parallel-universe radio stations.
Built to train the model behind Lost Frequency Radio (Hugging Face Build Small Hackathon 2026).
Agent build trace (how it was made, scrubbed and shared): https://huggingface.co/datasets/build-small-hackathon/lost-frequency-radio-agent-trace… See the full description on the dataset page: https://huggingface.co/datasets/build-small-hackathon/lost-frequency-radio-transmissions.radiology-coder-sft
Radiology Report ICD-10 Coder
Part of the AxisMapper Medical AI Suite — 16 domain-specific SFT datasets for fine-tuning medical LLMs.
Built by AmareshHebbar | Studio Ilios / Humanova Minds
What this dataset does
Radiology reports / impressions → ICD-10-CM codes for all documented findings
Why download this
Automate radiology coding, build report-to-code pipelines for RIS/PACS integration, or train models to extract diagnosis codes from chest X-ray… See the full description on the dataset page: https://huggingface.co/datasets/AmareshHebbar/radiology-coder-sft.nsclc-radiomics
NSCLC-Radiomics Dataset
Dataset Description
The NSCLC-Radiomics dataset for non-small cell lung cancer segmentation. This dataset contains CT scans with dense segmentation annotations.
Dataset Details
Modality: CT
Target: thoracic cavity, lung effusion
Format: NIfTI (.nii.gz)
Dataset Structure
Each sample in the JSONL file contains:
{
"image": "path/to/image.nii.gz",
"mask": "path/to/mask.nii.gz",
"label": ["organ1", "organ2"… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/nsclc-radiomics.radiologyradiographic-testing-zhpatient-radiology-imaging-glossary-es
Glosario de Radiología e Imagen para Pacientes (Español)
A structured, plain-language Spanish glossary of radiology and medical-imaging
terms written for patients: 50 terms across 7 categories, covering imaging
modalities (X-ray, CT, ultrasound, MRI, mammography, bone densitometry, panoramic
dental X-ray), common studies, patient preparation, radiation safety, contrast
media, report terminology, and imaging technology and roles.
Each term is explained in everyday Spanish, with… See the full description on the dataset page: https://huggingface.co/datasets/NODARISHUB/patient-radiology-imaging-glossary-es.radiographic-testing-zhradiotherapy_assistantradiology-index-qwen3-embedding-0.6bgen_alpaca_patient_radiologist_datashare_gpt_style_patient_radiologist_dataradiographdatasetmimic_iv_radio_dutch_marianmt
Dataset Card for Mimic 4 Dutch Translation Marianmt
This dataset was created by: Laboratory for Computational Physiology, MIT Institute for Medical Engineering and Science,
in collaboration with the Beth Israel Deaconess Medical Center in Boston, Massachusetts.
The original data source: PhysioNet
Data description
Translation of MIMIC 4 using MariaNMT with vanilla settings.
Note: this version contains spurious repetitions that will need to be filtered using e.g. regular… See the full description on the dataset page: https://huggingface.co/datasets/UMCU/mimic_iv_radio_dutch_marianmt.gen_patient_radiologist_data