---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': NORMAL
          '1': PNEUMONIA
  splits:
  - name: train
    num_bytes: 3186635036.504
    num_examples: 5216
  - name: validation
    num_bytes: 3030633
    num_examples: 16
  - name: test
    num_bytes: 79062317
    num_examples: 624
  download_size: 1230487052
  dataset_size: 3268727986.504
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: mit
task_categories:
- image-classification
language:
- en
- fr
tags:
- medical
size_categories:
- 1K<n<10K
---

# Zoidberg2.0

The data has been taken from [kaggle](https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia)

## Usage

Install Hugging Face's `datasets` library

```bash
pip install datasets
```

Load the dataset with the following lines 

```python
from datasets import load_dataset

dataset = load_dataset("Az-r-ow/chest_xray")
```

For more information on how to manipulate the data checkout the [docs](https://huggingface.co/docs/datasets/load_hub)