Datasets:
metadata
license: cdla-permissive-2.0
task_categories:
- tabular-classification
pretty_name: Parkinson_Speech
tags:
- tabular
- ehr
- binary
- Biomedical
- Benchmark
- speech-features
configs:
- config_name: Parkinson_Speech
data_files:
- split: train
path: data/train.parquet
- split: validation
path: data/val.parquet
- split: test
path: data/test.parquet
dataset_info:
description: >-
The PD database consists of training and test files. The training data
belongs to 20 PWP (6 female, 14 male) and 20 healthy individuals (10 female,
10 male) who appealed at the Department of Neurology in Cerrahpasa Faculty
of Medicine, Istanbul University. From all subjects, multiple types of sound
recordings (26 voice samples including sustained vowels, numbers, words and
short sentences) are taken. A group of 26 linear and time-frequency based
features are extracted from each voice sample. This dataset uses only the
train_data.txt file as the test data contains only positive Parkinson
patients and is more like a 'clinical' test set.