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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: image_id |
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dtype: string |
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- name: lesion_id |
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dtype: string |
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- name: dx |
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dtype: string |
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- name: dx_type |
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dtype: string |
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- name: age |
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dtype: float64 |
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- name: sex |
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dtype: string |
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- name: localization |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 2490501038.358 |
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num_examples: 9577 |
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- name: test |
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num_bytes: 351507473.24 |
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num_examples: 1285 |
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- name: validation |
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num_bytes: 681758880.144 |
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num_examples: 2492 |
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download_size: 3693626934 |
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dataset_size: 3523767391.7419996 |
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task_categories: |
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- image-classification |
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- image-segmentation |
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language: |
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- en |
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tags: |
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- skin_cancer |
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- HAM10000 |
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pretty_name: HAM10000 |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Dataset Card for "The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions" |
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- Original Paper and Dataset [here](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DBW86T) |
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- Kaggle dataset [here](https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000?resource=download) |
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This is a contribution to open sourced data in hugging face for image data. Images can be obtained from above links. |
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Train test split was done using a stratified splitting by cancer/diagnosis type. The code to stratify the dataset can be obtained on my github [here](https://github.com/marmal88/skin_cancer). |
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I do not own any rights to above images. |
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
