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SkinCaRe USE AGREEMENT
By registering for downloads from the SkinCaRe Dataset, you are agreeing to this Research Use Agreement.
Permission is granted to view and use the SkinCaRe Dataset without charge
for personal, non-commercial research purposes only. Any commercial use,
sale, or other monetization is prohibited.Other than the rights granted herein, The Chinese University of Hong Kong,
Shenzhen (CUHK-Shenzhen) retains all rights, title, and interest in the
SkinCaRe Dataset.You may make a verbatim copy of the SkinCaRe Dataset for personal,
non-commercial research use as permitted in this Research Use Agreement. If
another user within your organization wishes to use the SkinCaRe Dataset,
they must register as an individual user and comply with all the terms of
this Research Use Agreement.YOU MAY NOT DISTRIBUTE, PUBLISH, OR REPRODUCE A COPY of any portion or all
of the SkinCaRe Dataset to others without specific prior written permission
from The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen).YOU MAY NOT SHARE THE DOWNLOAD LINK to the SkinCaRe Dataset with others. If
another user within your organization wishes to use the SkinCaRe Dataset,
they must register as an individual user and comply with all the terms of
this Research Use Agreement.You must not modify, reverse engineer, decompile, or create derivative
works from the SkinCaRe Dataset. You must not remove or alter any copyright
or other proprietary notices in the SkinCaRe Dataset.The SkinCaRe Dataset has not been reviewed or approved by the Food and Drug
Administration and is for non-clinical, Research Use Only. In no event
shall data or images generated through the use of the SkinCaRe Dataset be
used or relied upon in the diagnosis or provision of patient care.THE SKINCARE DATASET IS PROVIDED "AS IS," AND CUHK-Shenzhen AND ITS
COLLABORATORS DO NOT MAKE ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING BUT
NOT LIMITED TO WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE, NOR DO THEY ASSUME ANY LIABILITY OR RESPONSIBILITY FOR THE USE OF
THE SKINCARE DATASET.You will not make any attempt to re-identify any of the individual data
subjects. Re-identification of individuals is strictly prohibited. Any
re-identification of any individual data subject shall be immediately
reported to CUHK-Shenzhen.Any violation of this Research Use Agreement or other impermissible use
shall be grounds for immediate termination of use of the SkinCaRe Dataset.
In the event that CUHK-Shenzhen determines that the recipient has violated
this Research Use Agreement or other impermissible use has been made,
CUHK-Shenzhen may direct that the undersigned data recipient immediately
return all copies of the SkinCaRe Dataset and retain no copies thereof
even if you did not cause the violation or impermissible use.
Purpose of Using the Dataset. You agree to submit, during the access request, a brief description of your intended research use (e.g., project title, objectives, methods, expected outputs). CUHK-Shenzhen reserves the right to approve or deny access based on the stated purpose and compliance with this Agreement.
Limitation of Use. You may use the SkinCaRe Dataset for legal purposes only.
Upstream Access Requirements. You agree to apply for access to Fitzpatrick17k images at the Fitzpatrick17k website (https://github.com/mattgroh/fitzpatrick17k), access to DDI images at the DDI website (https://ddi-dataset.github.io/), and access to SKINCON annotations at the SKIN Concepts Dataset (https://skincon-dataset.github.io/index.html) immediately to officially access the raw images used in SkinCaRe. You agree that all raw skin disease images can be legally viewed and used only if you have obtained access to them.
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SkinCaRe: A Multimodal Dermatology Dataset with Medical Captions and Chain-of-Thought Reasoning
SkinCaRe bridges the gap between what models see and how they reason. It combines
- SkinCAP β dermatologist-authored, observation-first captions
- SkinCoT β clinician-certified, hierarchical Chain-of-Thought (CoT) diagnostic narratives
Total size: 7,041 dermatologic cases.
π§ Overview
Most dermatology datasets offer only class labels, limiting transparency and clinical utility. SkinCaRe provides both descriptive captions and structured reasoning, enabling models to describe findings and explain diagnoses.
π¦ Dataset Components
π SkinCAP (Captioning)
- 4,000 images from Fitzpatrick 17k and DDI
- Captions cover: anatomic site, primary/secondary morphology, color, distribution, surface changes
- Format
- Images:
.png - Metadata:
.csvwithid,disease,caption_zh,caption_en, source links
- Images:
π§ SkinCoT (Reasoning)
- 3,041 imageβtext pairs, clinician-reviewed on six axes: Accuracy, Safety, Medical Groundedness, Clinical Coverage, Reasoning Coherence, Description Precision
- Structure
- Images by category:
SkinCoT/images/<disease_class>/<image>.jpg - CoT (English):
SkinCoT/EN/<disease_class>/<image>.jpg.txt - CoT (Chinese):
SkinCoT/ZH/<disease_class>/<image>.jpg.txt
Examples
- Image:
SkinCoT/images/Urticaria Hives/dermagraphism-32.jpg
CoT-EN:SkinCoT/EN/Urticaria Hives/dermagraphism-32.jpg.txt
CoT-ZH:SkinCoT/ZH/Urticaria Hives/dermagraphism-32.jpg.txt
π Access & License
- Repository: https://huggingface.co/datasets/yuhos16/SkinCaRe
- License: CC-BY-4.0
- Modalities: Image + Text (PNG, JPEG, CSV, TXT)
- Updates to images/metadata will be noted on the dataset page.
π§ͺ Suggested Uses
- Train/evaluate dermatology VLMs for captioning + reasoning
- Research on medical explainability and trustworthy AI
π Citation
Citation coming soon (to be updated upon publication).
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