Datasets:
| 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. | |