data

Datasets folder

Download here the datasets that you are going to use for the library validation and profiling.

MNIST

Click here and download the MNIST dataset and put the files in the data folder. The files that the profiling functionalities expects are the following:

• train-images.idx3-ubyte
• train-labels.idx1-ubyte
• t10k-images.idx3-ubyte
• t10k-labels.idx1-ubyte

The same requirements are expected also for Fashion-MNIST since the format is the same.

CIFAR-10

Click here to download the zip that contains the Cifar-10 dataset in binary version and put the files in the data folder. The files that the profiling functionalities expects are the following:

• data_batch_1.bin
• data_batch_2.bin
• data_batch_3.bin
• data_batch_4.bin
• data_batch_5.bin
• test_batch.bin
• batches.meta.txt

CIFAR-100

Click here to download the zip that contains the Cifar-100 dataset in binary version and put the files in the data folder. The files that the profiling functionalities expects are the following:

• train.bin
• test.bin
• coarse_label_names.txt
• fine_label_names.txt

MLPACK Thyroid

Download the thyroid_train.csv and the thyroid_test.csv files from the main repository of the Mlpack machine learning framework. The dataset is provided by Mlpack for their model accuracy tests in CSV format. The files that the profiling functionalities expects are the following:

• thyroid_train.csv
• thyroid_test.csv

Execution Time

The Execution time dataset is a dataset for performance measure forecasting of concurrent tasks that is already provided in the project in the CSV format. The dataset provides a regression problem and it is contained in the following file:

• execution-time.csv