The phrase "a huge set of data" is correct and usable in written English.
It can be used when referring to a large collection of information or statistics that is being analyzed or discussed.
Example: "The researchers collected a huge set of data to study the effects of climate change on local ecosystems."
Alternatives: "a large dataset" or "an extensive collection of data."
So he downloaded a huge set of data that Netflix put online: an enormous list showing how 480,189 of the company's customers rated 17,770 Netflix movies.
What distinguishes the work of Mr. Barro and Ms. McCleary, some scholars said, is that it uses a sophisticated analysis of a huge set of data to quantify the arguments of anthropologists, sociologists and political scientists.
The selection and design of green and clean processes and products involve handling a huge set of data related to the environment, economics and technologies.
The short version is that they are programs that simulate human-like thought processes by looking very closely at a huge set of data and noting similarities and differences on multiple levels of organization.
In this article we describe the first outcomes of a project, i.e. Refactoring Imperial Selling Data (RISED), which aims at using Semantic Web technologies so as to simplify the management and the enrichment of a huge set of data that are continuously collected by Imperial Fashion, one of the most important fast-fashion companies in Italy.
"There are different ways to translate something that gives different meanings in different situations, so there needs to be a huge set of data and a human checking all of that data to see if it is right or wrong," says Lee.
He and his colleagues have been working on a huge set of such data and finding ways of accurately representing it with an eye to empowering meteorologists from the TV station to the research lab.
High throughput techniques have generated a huge set of biological data, which are deposited in various databases.
So, in a move completely unheard of at the time, Netflix made public a huge set of its anonymous rating data and issued a global challenge: develop an algorithm that could beat it.
The models were generated from a huge set of well log and core data, which provides relative degree of certainty that the models are efficient and can be utilized on other sets of data whose original backgrounds are analogous.
These 10 different and separate blind data distributions were taken from a huge set of EEG dataset.
