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Synthetic Data: Dataset generation for your need By Aditya Abeysinghe   During the last few decades, research into various fields has expanded rapidly with advances in technology and tools used for research. In many fields, data is expensive to be generated or found from sources matching research requirements and sometimes is inaccessible due to privacy concerns or sometimes data is unavailable. In these kinds of cases, data needs to be artificially generated to match real world data and tested. These kind of data is called synthetic data and is now considered an emerging topic in many research fields. Synthetic data is not a new model; it has its origins since 1980s when researches started to grow with advances in technologies. However, it became an emerging topic with emerging technologies such as self-driving cars where data required for training using algorithms is hard to be found. Meanwhile, many restrictions on data ...