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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: label |
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|
dtype: |
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class_label: |
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names: |
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|
'0': NORMAL |
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|
'1': PNEUMONIA |
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splits: |
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|
- name: train |
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|
num_bytes: 3186635036.504 |
|
|
num_examples: 5216 |
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|
- name: validation |
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|
num_bytes: 3030633 |
|
|
num_examples: 16 |
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|
- name: test |
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|
num_bytes: 79062317 |
|
|
num_examples: 624 |
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|
download_size: 1230487052 |
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|
dataset_size: 3268727986.504 |
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|
configs: |
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|
- config_name: default |
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|
data_files: |
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|
- split: train |
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|
path: data/train-* |
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|
- split: validation |
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|
path: data/validation-* |
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|
- split: test |
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|
path: data/test-* |
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|
license: mit |
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|
task_categories: |
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|
- image-classification |
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|
language: |
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|
- en |
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|
- fr |
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|
tags: |
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|
- medical |
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size_categories: |
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|
- 1K<n<10K |
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|
--- |
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# Zoidberg2.0 |
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The data has been taken from [kaggle](https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia) |
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## Usage |
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Install Hugging Face's `datasets` library |
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```bash |
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pip install datasets |
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``` |
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Load the dataset with the following lines |
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```python |
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from datasets import load_dataset |
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|
|
dataset = load_dataset("Az-r-ow/chest_xray") |
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``` |
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For more information on how to manipulate the data checkout the [docs](https://huggingface.co/docs/datasets/load_hub) |
