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# Dataset Usage
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Step 1: 
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Download the datataset from http://aseados.ucd.ie/datasets/EMSCA

Step 2:
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Check the MD5 hash value with the following command.
	md5sum em-dataset.h5.gz

The value should be the following.
	876564812f06c6689563339f2b784650  em-dataset.h5.gz

Step 3:
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Decompress the file using the following command.
	gzip -d em-dataset.h5.gz

Step 4:
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Calculate the MD5 hash value for the uncompressed HDF5 file.
	md5sum em-dataset.h5

The value should be the following.
	b998495b45e7aea27e1912ea060d404d  em-dataset.h5

Step 5:
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Viewing dataset and loading data into NumPy arrays using the provided 

	python3 reading-hd5-file.py

Now you can use these EM trace data in NumPy arrays for training and testing ML models.

Appendix:
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The dataset in HDF5 format was created using from the raw EM trace files as follows. 

# creating the HDF5 file using the raw (.cfile) EM trace files.
python3 creating-hd5-file.py

# compressing to with level 6
gzip -6 -c em-dataset.h5 > em-dataset.h5.gz