File size: 1,607 Bytes
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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.
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