autotrain-data-processor commited on
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Processed data from AutoTrain data processor ([2023-04-19 15:06 ]

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README.md ADDED
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+ ---
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+ task_categories:
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+ - image-classification
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+
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+ ---
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+ # AutoTrain Dataset for project: cancer-lakera
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+
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+ ## Dataset Description
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+
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+ This dataset has been automatically processed by AutoTrain for project cancer-lakera.
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+
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+ ### Languages
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+
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+ The BCP-47 code for the dataset's language is unk.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ A sample from this dataset looks as follows:
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+
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+ ```json
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+ [
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+ {
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+ "image": "<600x450 RGB PIL image>",
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+ "feat_image_id": "ISIC_0024329",
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+ "feat_lesion_id": "HAM_0002954",
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+ "target": 0,
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+ "feat_dx_type": "histo",
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+ "feat_age": 75.0,
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+ "feat_sex": "female",
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+ "feat_localization": "lower extremity"
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+ },
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+ {
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+ "image": "<600x450 RGB PIL image>",
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+ "feat_image_id": "ISIC_0024372",
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+ "feat_lesion_id": "HAM_0005389",
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+ "target": 0,
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+ "feat_dx_type": "histo",
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+ "feat_age": 70.0,
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+ "feat_sex": "male",
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+ "feat_localization": "lower extremity"
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+ }
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+ ]
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+ ```
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+
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+ ### Dataset Fields
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+
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+ The dataset has the following fields (also called "features"):
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+
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+ ```json
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+ {
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+ "image": "Image(decode=True, id=None)",
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+ "feat_image_id": "Value(dtype='string', id=None)",
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+ "feat_lesion_id": "Value(dtype='string', id=None)",
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+ "target": "ClassLabel(names=['actinic_keratoses', 'basal_cell_carcinoma', 'benign_keratosis-like_lesions'], id=None)",
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+ "feat_dx_type": "Value(dtype='string', id=None)",
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+ "feat_age": "Value(dtype='float64', id=None)",
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+ "feat_sex": "Value(dtype='string', id=None)",
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+ "feat_localization": "Value(dtype='string', id=None)"
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+ }
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+ ```
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+
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+ ### Dataset Splits
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+
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+ This dataset is split into a train and validation split. The split sizes are as follow:
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+
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+ | Split name | Num samples |
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+ | ------------ | ------------------- |
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+ | train | 1200 |
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+ | valid | 150 |
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+ {"splits": ["train", "valid"]}
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+ "description": "AutoTrain generated dataset",
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+ "names": [
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+ "actinic_keratoses",
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+ "basal_cell_carcinoma",
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+ "benign_keratosis-like_lesions"
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+ "_type": "ClassLabel"
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