---
license: mit
task_categories:
- feature-extraction
- token-classification
language:
- en
tags:
- biology
- medical
pretty_name: Pima
size_categories:
- n<1K
---

# Dataset Card for "MuGeminorum/Pima"
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.

## Maintenance
```bash
git clone git@hf.co:datasets/MuGeminorum/Pima
```

## Usage
```python
from datasets import load_dataset

dataset = load_dataset("MuGeminorum/Pima")

for item in dataset["train"]:
    print(item)

for item in dataset["validation"]:
    print(item)

for item in dataset["test"]:
    print(item)

```

## Mirror
<https://www.modelscope.cn/datasets/MuGeminorum/Pima>

## Reference
[1] [Pima Indians Diabetes Database](https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database)<br>
[2] [Chapter IV ‐ Medical Signal Segmentation and Classification](https://github.com/MuGeminorum/Medical_Image_Computing/wiki/Chapter-IV-%E2%80%90-Medical-Signal-Segmentation-and-Classification)