o Ni@sdZddlmZddlmZddlmZddlZddlZddlZddlZ ddl m m Z ddlmZdZdZdZd Zd d Zd d ZGdddejjZdS)zDementiaBank dataset.)absolute_import)division)print_functionNz @article{boller2005dementiabank, title={Dementiabank database guide}, author={Boller, Francois and Becker, James}, journal={University of Pittsburgh}, year={2005} } a DementiaBank is a medical domain task. It contains 117 people diagnosed with Alzheimer Disease, and 93 healthy people, reading a description of an image, and the task is to classify these groups. This release contains only the audio part of this dataset, without the text features. z$dementia/English/Pitt/Control/cookiez%dementia/English/Pitt/Dementia/cookiecCst||krtdjt||dtdd|D}td|dkr)td|g}d}|D]\}}|}||7}||t||t||fq/|d d |d d|f|d <|S) aComputes boundary indices for each of the splits in split_probs. Args: split_probs: List of (split_name, prob), e.g. [('train', 0.6), ('dev', 0.2), ('test', 0.2)] n_items: Number of items we want to split. Returns: The item indices of boundaries between different splits. For the above example and n_items=100, these will be [('train', 0, 60), ('dev', 60, 80), ('test', 80, 100)]. z]Not enough items for the splits. There are {splits} splits while there are only {items} items)splitsitemscs|]\}}|VqdSN).0namepr r Z/home/ubuntu/.local/lib/python3.10/site-packages/tensorflow_datasets/audio/dementiabank.py Dz,_compute_split_boundaries..g:0yE>z"Probs should sum up to 1. probs={}gr)len ValueErrorformatsumabsappendint) split_probsn_items total_probssplit_boundariessum_pr r prevr r r _compute_split_boundaries3s$  "rcCsttdd|D}tj|}||t|t|}i}|D]\}}} t|| D]} |||| <q+q!t t } |D]\} } || }| | | q<| S)aSplit items to train/dev/test, so all items in group go into same split. Each group contains all the samples from the same speaker ID. The samples are splitted so that all each speaker belongs to exactly one split. Args: items_and_groups: Sequence of (item_id, group_id) pairs. split_probs: List of (split_name, prob), e.g. [('train', 0.6), ('dev', 0.2), ('test', 0.2)] split_number: Generated splits should change with split_number. Returns: Dictionary that looks like {split name -> set(ids)}. csrrr )r item_idgroup_idr r r rdrz-_get_inter_splits_by_group..) sortedsetnprandom RandomStateshufflerrrange collections defaultdictlistr)items_and_groupsr split_numbergroupsrngrgroup_id_to_split split_namei_starti_endi split_to_idsr r!splitr r r _get_inter_splits_by_groupUs    r7c@sFeZdZdZejdZe d e e Z ddZddZdd Zd S) Dementiabankz>The DementiaBank dataset for voice classification of Dementia.z1.0.0z manual dir should contain 2 folders with mp3 files: * {} * {} Which were downloaded from https://media.talkbank.org/dementia/English/Pitt/ This dataset requires registration for downloading. c CsDtjj|ttjtjjdddtjjddgdtj ddd t d S) Nmp3iD) file_format sample_ratedementiacontrol)namesaudiolabel speaker_id)r@rAzhttps://dementia.talkbank.org/)builder descriptionfeaturessupervised_keyshomepagecitation) tfdscore DatasetInfo _DESCRIPTIONrE FeaturesDictAudio ClassLabeltfstring _CITATION)selfr r r _infoszDementiabank._infoc Cs.tj|jt}tj|jt}g}tjj d |D]}tj |\}}| d\}}|d|d} | | |fqtjj d |D]}tj |\}}| d\}}|d|d} | | |fqEgd} t || d} tjjtjjd| d id tjjtjjd| d id tjjtjjd| d id gS) zReturns SplitGenerators.z{}/*.mp3-r=r?r<))traingffffff?) validationg?)testg?rexamplesrV)r gen_kwargsrWrX)ospathjoin manual_dir_CONTROL_FOLDER_DEMENTIA_FOLDERrPiogfileglobrr6rr7rIrJSplitGeneratorSplitTRAIN VALIDATIONTEST) rS dl_managercontrol_folderdementia_folderexamples_and_speaker_idsfname_ short_namerBexamplerrr r r _split_generatorss<     zDementiabank._split_generatorsccs.|D]}tj|d\}}||fVqdS)zYields examples.r@N)r[r\r6)rSrYrprnkeyr r r _generate_exampless  zDementiabank._generate_examplesN)__name__ __module__ __qualname____doc__rIrJVersionVERSIONtextwrapdedentrr_r`MANUAL_DOWNLOAD_INSTRUCTIONSrTrqrsr r r r r8vs   #r8)rw __future__rrrr)r[rznumpyr$tensorflow.compat.v2compatv2rPtensorflow_datasets.public_api public_apirIrRrLr_r`rr7rJGeneratorBasedBuilderr8r r r r s"     "!