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--- |
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license: mit |
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task_categories: |
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- feature-extraction |
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- token-classification |
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language: |
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- en |
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tags: |
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- biology |
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- medical |
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pretty_name: Pima |
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size_categories: |
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- n<1K |
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--- |
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# Dataset Card for "MuGeminorum/Pima" |
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The dataset originates from the National Institute of Diabetes and Digestive and Kidney Diseases and aims to predict the presence or absence of diabetes through diagnostic measurements. The dataset selection adheres to specific constraints imposed on instances drawn from a more extensive database. Notably, all patients represented in this dataset are females aged at least 21, with a Pima Indian heritage. |
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## Maintenance |
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```bash |
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git clone git@hf.co:datasets/MuGeminorum/Pima |
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``` |
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## Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("MuGeminorum/Pima") |
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for item in dataset["train"]: |
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print(item) |
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for item in dataset["validation"]: |
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print(item) |
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for item in dataset["test"]: |
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print(item) |
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``` |
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## Mirror |
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<https://www.modelscope.cn/datasets/MuGeminorum/Pima> |
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## Reference |
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[1] <a ref="https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database">Pima Indians Diabetes Database</a><br> |
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[2] <https://github.com/MuGeminorum/Medical_Image_Computing/wiki/Chapter-IV-%E2%80%90-Medical-Signal-Segmentation-and-Classification> |
