README.md

---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: Number
    dtype: string
  - name: left
    dtype: int64
  - name: right
    dtype: int64
  - name: parietal
    dtype: int64
  - name: temporal
    dtype: int64
  - name: frontal
    dtype: int64
  - name: occipital
    dtype: int64
  - name: basal_ganglia
    dtype: int64
  - name: necrotic
    dtype: int64
  - name: cystic
    dtype: int64
  - name: glioblastoma_multiforme
    dtype: int64
  - name: astrocytoma
    dtype: int64
  - name: glioma
    dtype: int64
  - name: metastasis
    dtype: int64
  - name: abscess
    dtype: int64
  - name: dysembryoplastic_neuroepithelial_tumor
    dtype: int64
  - name: image_path
    dtype: string
  - name: image
    dtype: image
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 3941135.75
    num_examples: 1098
  - name: test
    num_bytes: 441545.0
    num_examples: 122
  download_size: 2922958
  dataset_size: 4382680.75
---

# KMH158/neurofusion_classification

This dataset contains images for neurofusion classification. Each patient has 10 corresponding images.

## Dataset Structure

- **train**: Training set with 90% of the data.
- **test**: Testing set with 10% of the data.

## Features

- **image**: The image data.
- **Number**: Patient ID.
- Other columns from the original CSV.

## Usage

You can use this dataset for training and evaluating neurofusion classification models.

## License

This dataset is licensed under the MIT License.