Acoustic Event Dataset
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Title:Automatic crack detection and classification by exploiting statistical event descriptors for Deep LearningAuthors:Giulio Siracusano, Aurelio La Corte, Riccardo Tomasello, Francesco Lamonaca, Carmelo Scuro, Francesca Garescì, Mario Carpentieri and Giovanni Finocchioemail: giuliosiracusano@unict.itDescriptionZip Archive is composed of 3 files:1. Training_dataset_15000AE_1000_samples.mat2. Testing_dataset_1650AE_1000_samples.mat3. README.txt (this file)% Training Dataset (Matlab Format)% Training_dataset_15000AE_1000_samples.matXTrain is in the format of 15000x1000 samples       there are 15000 events (5000 are tensile, 5000 shear and 5000 mixed-events)       each acoustic event is composed of 1000 time samplesYTrain is the categorical array in the format of 15000x1       AE events are classi' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Acoustic Emission Events"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Title:Automatic crack detection and classification by exploiting statistical event descriptors for Deep LearningAuthors:Giulio Siracusano, Aurelio La Corte, Riccardo Tomasello, Francesco Lamonaca, Carmelo Scuro, Francesca Garescì, Mario Carpentieri and Giovanni Finocchioemail: giuliosiracusano@unict.itDescriptionZip Archive is composed of 3 files:1. Training_dataset_15000AE_1000_samples.mat2. Testing_dataset_1650AE_1000_samples.mat3. README.txt (this file)% Training Dataset (Matlab Format)% Training_dataset_15000AE_1000_samples.matXTrain is in the format of 15000x1000 samples       there are 15000 events (5000 are tensile, 5000 shear and 5000 mixed-events)       each acoustic event is composed of 1000 time samplesYTrain is the categorical array in the format of 15000x1       AE events are classi' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Title:Automatic crack detection and classification by exploiting statistical event descriptors for Deep LearningAuthors:Giulio Siracusano, Aurelio La Corte, Riccardo Tomasello, Francesco Lamonaca, Carmelo Scuro, Francesca Garescì, Mario Carpentieri and Giovanni Finocchioemail: giuliosiracusano@unict.itDescriptionZip Archive is composed of 3 files:1. Training_dataset_15000AE_1000_samples.mat2. Testing_dataset_1650AE_1000_samples.mat3. README.txt (this file)% Training Dataset (Matlab Format)% Training_dataset_15000AE_1000_samples.matXTrain is in the format of 15000x1000 samples       there are 15000 events (5000 are tensile, 5000 shear and 5000 mixed-events)       each acoustic event is composed of 1000 time samplesYTrain is the categorical array in the format of 15000x1       AE events are classi
Acoustic Emission Events