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In the last few years, several organizations have manifested their concern over the increase in use of Hateful Speech or Hate Speech for short, this concept refers to forms of expression or audio-visual content that encourage discrimination or violence against individuals or groups solely based on their gender, sexual orientation, ethnicity, religion or nationality.

This research has produced datasets that can be used openly for other researchers. The dataset is compiled from images of woven fabrics originating from the East Nusa Tenggara Province of Indonesia. A total of 68 fabrics from six districts have been grouped and gone through the image embedding process to become RAW numerical data for further processing. By using Logistic Regression, the classifier accuracy rate for this dataset is only 79.4%. For that other researchers can contribute to improve this accuracy.

The dataset contains two industrial cases with measurement devices installed at the medium voltage bus entrance and at the target load to be identified. It can be used for the research of non-invasive load monitoring algorithms. The types of data measured include three-phase voltage, current, active power, reactive power, as well as the amplitude and phase angle of each harmonic.

Reverberation chamber (RC) is a metal cavity which is often used for EMC measurements. During the last couple of decades, RC has proved to be a useful tool for Over-the-air (OTA) measurements such as antenna efficiency, diversity gain, etc. A well stirred RC produces Rayleigh fading environment which is considered as a common test environment for testing and simulating performance of wireless devices such as mobile phones in GSM, WCDMA, UMTS and LTE frequency ranges.