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--- |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- image-to-text |
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language: |
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- zh |
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- en |
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tags: |
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- skin |
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- disease |
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- caption |
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- reasoning |
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- dermatology |
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size_categories: |
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- 1K<n<10K |
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extra_gated_prompt: >- |
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### SkinCaRe USE AGREEMENT |
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By registering for downloads from the SkinCaRe Dataset, you are agreeing to |
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this Research Use Agreement. |
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1. Permission is granted to view and use the SkinCaRe Dataset without charge |
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for personal, non-commercial research purposes only. Any commercial use, |
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sale, or other monetization is prohibited. |
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2. Other than the rights granted herein, The Chinese University of Hong Kong, |
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Shenzhen (CUHK-Shenzhen) retains all rights, title, and interest in the |
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SkinCaRe Dataset. |
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3. You may make a verbatim copy of the SkinCaRe Dataset for personal, |
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non-commercial research use as permitted in this Research Use Agreement. If |
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another user within your organization wishes to use the SkinCaRe Dataset, |
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they must register as an individual user and comply with all the terms of |
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this Research Use Agreement. |
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4. YOU MAY NOT DISTRIBUTE, PUBLISH, OR REPRODUCE A COPY of any portion or all |
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of the SkinCaRe Dataset to others without specific prior written permission |
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from The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen). |
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5. YOU MAY NOT SHARE THE DOWNLOAD LINK to the SkinCaRe Dataset with others. If |
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another user within your organization wishes to use the SkinCaRe Dataset, |
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they must register as an individual user and comply with all the terms of |
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this Research Use Agreement. |
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6. You must not modify, reverse engineer, decompile, or create derivative |
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works from the SkinCaRe Dataset. You must not remove or alter any copyright |
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or other proprietary notices in the SkinCaRe Dataset. |
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7. The SkinCaRe Dataset has not been reviewed or approved by the Food and Drug |
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Administration and is for non-clinical, Research Use Only. In no event |
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shall data or images generated through the use of the SkinCaRe Dataset be |
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used or relied upon in the diagnosis or provision of patient care. |
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8. THE SKINCARE DATASET IS PROVIDED "AS IS," AND CUHK-Shenzhen AND ITS |
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COLLABORATORS DO NOT MAKE ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING BUT |
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NOT LIMITED TO WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR |
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PURPOSE, NOR DO THEY ASSUME ANY LIABILITY OR RESPONSIBILITY FOR THE USE OF |
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THE SKINCARE DATASET. |
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9. You will not make any attempt to re-identify any of the individual data |
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subjects. Re-identification of individuals is strictly prohibited. Any |
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re-identification of any individual data subject shall be immediately |
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reported to CUHK-Shenzhen. |
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10. Any violation of this Research Use Agreement or other impermissible use |
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shall be grounds for immediate termination of use of the SkinCaRe Dataset. |
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In the event that CUHK-Shenzhen determines that the recipient has violated |
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this Research Use Agreement or other impermissible use has been made, |
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CUHK-Shenzhen may direct that the undersigned data recipient immediately |
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return all copies of the SkinCaRe Dataset and retain no copies thereof |
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even if you did not cause the violation or impermissible use. |
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**Purpose of Using the Dataset.** You agree to submit, during the access |
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request, a brief description of your intended research use (e.g., project |
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title, objectives, methods, expected outputs). CUHK-Shenzhen reserves the |
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right to approve or deny access based on the stated purpose and compliance |
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with this Agreement. |
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**Limitation of Use.** You may use the SkinCaRe Dataset for legal purposes |
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only. |
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**Upstream Access Requirements.** You agree to apply for access to |
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Fitzpatrick17k images at the Fitzpatrick17k website |
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(https://github.com/mattgroh/fitzpatrick17k), access to DDI images at the DDI |
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website (https://ddi-dataset.github.io/), and access to SKINCON annotations at |
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the SKIN Concepts Dataset (https://skincon-dataset.github.io/index.html) |
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immediately to officially access the raw images used in SkinCaRe. You agree |
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that all raw skin disease images can be legally viewed and used only if you |
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have obtained access to them. |
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extra_gated_fields: |
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First Name: text |
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Last Name: text |
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Date of birth: date_picker |
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Country: country |
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Affiliation: text |
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geo: ip_location |
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extra_gated_button_content: Submit |
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--- |
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# SkinCaRe: A Multimodal Dermatology Dataset with Medical Captions and Chain-of-Thought Reasoning |
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**SkinCaRe** bridges the gap between what models *see* and how they *reason*. It combines |
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- **SkinCAP** — dermatologist-authored, observation-first captions |
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- **SkinCoT** — clinician-certified, hierarchical Chain-of-Thought (CoT) diagnostic narratives |
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**Total size:** **7,041** dermatologic cases. |
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## 🧭 Overview |
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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. |
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## 📦 Dataset Components |
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### 📝 SkinCAP (Captioning) |
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- **4,000 images** from Fitzpatrick 17k and DDI |
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- Captions cover: anatomic site, primary/secondary morphology, color, distribution, surface changes |
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- **Format** |
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- Images: `.png` |
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- Metadata: `.csv` with `id`, `disease`, `caption_zh`, `caption_en`, source links |
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### 🧠 SkinCoT (Reasoning) |
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- **3,041 image–text pairs**, clinician-reviewed on six axes: Accuracy, Safety, Medical Groundedness, Clinical Coverage, Reasoning Coherence, Description Precision |
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- **Structure** |
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- Images by category: `SkinCoT/images/<disease_class>/<image>.jpg` |
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- CoT (English): `SkinCoT/EN/<disease_class>/<image>.jpg.txt` |
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- CoT (Chinese): `SkinCoT/ZH/<disease_class>/<image>.jpg.txt` |
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**Examples** |
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- Image: `SkinCoT/images/Urticaria Hives/dermagraphism-32.jpg` |
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CoT-EN: `SkinCoT/EN/Urticaria Hives/dermagraphism-32.jpg.txt` |
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CoT-ZH: `SkinCoT/ZH/Urticaria Hives/dermagraphism-32.jpg.txt` |
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## 🔓 Access & License |
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- Repository: https://huggingface.co/datasets/yuhos16/SkinCaRe |
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- License: CC-BY-4.0 |
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- Modalities: Image + Text (PNG, JPEG, CSV, TXT) |
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- Updates to images/metadata will be noted on the dataset page. |
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## 🧪 Suggested Uses |
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- Train/evaluate dermatology VLMs for captioning + reasoning |
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- Research on medical explainability and trustworthy AI |
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## 📚 Citation |
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*Citation coming soon (to be updated upon publication).* |
