datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IU-Xrayxraydar-reports
X-Raydar Annotated Radiology Reports
Manually annotated chest X-ray radiology reports for multi-label classification and span-level segmentation. Each report is annotated with 45 radiological finding categories at both the report level and the token/span level.
Website: x-raydar.info
X-ray classifier: dnamodel/xraydar-cv
Report classifier: dnamodel/xraydar-nlp
CV code: gmontana/xraydar-cv
NLP code: gmontana/xraydar-nlp
This dataset was used to train and evaluate the RoBERTaX model… See the full description on the dataset page: https://huggingface.co/datasets/dnamodel/xraydar-reports.StingBee_XrayInstruct
StingBee Instruction Dataset
This file contains multimodal instruction-following data used to train the STING-BEE model.
The dataset includes conversations (question-answer pairs) tailored for diverse vision-language tasks- Scene Comprehension,
Referring Threat Localization, Visual Grounding, and Visual Question Answering (VQA)—making it ideal for training
multimodal instruction-following models in X-ray threat detection.
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📄 File: StingBee_XrayInstruct.json
adaption-chest-xray-pneumonia-labels
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-chest_xray_pneumonia_labels
This dataset contains labeled samples for chest X-ray image classification, distinguishing between normal cases and those with pneumonia. Each entry provides a diagnostic label indicating the presence of pneumonia or a normal lung condition. The data is structured as pairs with a single completion field holding the categorical diagnosis.… See the full description on the dataset page: https://huggingface.co/datasets/vaishnavipadmanabhan/adaption-chest-xray-pneumonia-labels.med_chest_x-rayupdate
Chest_X-Ray_Diagnosis