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The phrase "a bigger dataset of" is correct and usable in written English.
It can be used when discussing the size or volume of data in a specific context, such as research, analysis, or machine learning.
Example: "To improve the accuracy of our model, we need a bigger dataset of user interactions."
Alternatives: "a larger collection of data" or "an expanded dataset of".
Exact(1)
A bigger dataset of inherited mutations as well as a parallel study of β-mannosidase and chitobiase activities in prospective patients would be interesting to better understand the underlying reasons for β-mannosidosis.
Similar(59)
Using a big dataset of entrepreneurs and venture capitalists, we want to understand who matches with whom in this market, which characteristics of entrepreneurs and venture capitalists matter most in the matching process and what are the trade-offs that agents face when searching for a match.
Slowly but surely, Sqreen is building a big dataset of security threats.
First of them is to employ a bigger dataset.
Although the size of the test dataset cannot be regarded as a big dataset, the performance of the big data analytics using map-reduce can be sped up via this kind of testings.
Traditional tools such as pie chart and bar chart are overwhelmed when used to visually identify contradictory data in multidimensional attribute-values of a big dataset.
In other words, the GSVM-RU method provides a strategy for data sampling or data cleaning of a big dataset.
Cyclostationary empirical orthogonal function (CSEOF) analysis is introduced as an efficient and valuable technique to interpret space time structure of variability in a big dataset.
In line with [24], we present a main case study on a private real big dataset of shopping sessions.
Compared to previous work, our results are more detailed and complete, especially for the bigger datasets of H1, H3, H5, H9, N1, and N2 subtypes that have thousands of sequences available.
Yelp made this really big dataset of restaurant reviews publicly available quite a few years ago, four or five years ago, and it's what made this research possible.
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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