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The phrase "a large scale dataset of" is correct and usable in written English.
It can be used when referring to a dataset that is extensive in size or scope, often in the context of research or data analysis.
Example: "The study utilized a large scale dataset of user interactions to analyze behavior patterns."
Alternatives: "an extensive dataset of" or "a vast dataset of".
Exact(2)
We employed a large scale dataset of protein families extracted from a well curated Conserved Domain Database (CDD) [35] to study the evolutionary, structural and functional aspects of coevolved residues.
This is the first research article that systematically evaluates the reporting of researcher allegiance in a large scale dataset of 146 meta-analyses and 1198 unique randomised controlled studies of psychotherapy for a broad range of outcomes.
Similar(58)
Firstly, the developed system achieves satisfying scaling for conversion of a large scale dataset for parallelization with Hadoop.
Consequently, it can be confusing for learners when selecting suitable courseware from a large-scale dataset of e-learning options.
We employ a Bluetooth detection technique to capture a large-scale dataset of pedestrians' behavior over a one-month period, including during a key sales period.
In contrast, here we predict a large-scale dataset of over 65,000 high-confidence DDIs, and use these data to perform cross-species comparison of DDIs from eight organisms.
In this study, we present an analysis of the most important feature for miRNA target recognition, the so-called miRNA seed, using a large-scale dataset of functional target sites.
We have demonstrated on a large-scale dataset of mammalian enhancer sequences that pairwise sequence similarity of non-homologous regulatory sequences is able to estimate similar in vivo activity.
22 new genes contained in two operons controlled by PdhR (previously only 20 regulatory targets in eight operons were known) were identified by analysing a large-scale dataset of E. coli from the Many Microbes Microarray Database and novel expression data from a pdhR knockout strain, as well as a PdhR overproducing strain.
Importantly, we reformulate the previously proposed structure-based model to make it computational feasible on a large scale dataset by replacing large number of complicated inequalities with one simple inequality.
Lastly, we analyzed multiple large scale datasets of breast cancer as an example of molecular subclass prediction in real-world clinical samples.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com