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A large dataset

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "A large dataset" is correct and usable in written English.
You can use it when referring to a collection of data that is extensive in size, often in contexts related to data analysis, research, or machine learning. Example: "In our study, we analyzed a large dataset to identify trends and patterns in consumer behavior."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

A large dataset was collected at five catchments of different land-uses in Melbourne, Australia.

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation.

A large dataset containing 7992 protein structures and 72 drug-like ligands was also provided.

A large dataset composed of 50 still imagesb and 50 stereo imagesc has been considered.

"This is a large dataset.

News & Media

The Guardian

The δ49Ti data are from ref. 8, which used a large dataset that included many of the samples studied here.

Science & Research

Nature

Patent-paper pairs are detected using text-mining algorithms applied on a large dataset.

The study was conducted on a large dataset of 73 catchments within the eastern US.

The researchers then used that information to look at a large dataset of genetic information from about 900 dogs representing 80breedss.

Analysis were conducted on a large dataset (more than 1400 sampled sites, mainly on rural environments).

It is validated on a large dataset comprising clinical acquired DW images from 741 subjects.

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Expert writing Tips

Best practice

When discussing "a large dataset", consider the implications of its size. For instance, mention the computational resources needed to analyze it or the statistical power it provides for detecting subtle effects.

Common error

Avoid using vague terms like "big data" without providing specific details about the dataset's size or complexity. Overstating the scale can undermine your credibility.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "a large dataset" functions primarily as a noun phrase, where 'large' is an adjective modifying 'dataset'. Ludwig AI confirms its grammatical correctness and usability. Examples show it used to describe the foundation or subject of analysis.

Expression frequency: Very common

Frequent in

Science

70%

Academia

15%

News & Media

15%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "a large dataset" is a grammatically correct and frequently used phrase, especially within scientific, academic, and news contexts. Ludwig AI confirms its validity and usability. It serves to describe the size and scope of data used in analysis or research. While alternatives like "extensive data collection" or "substantial volume of data" exist, "a large dataset" remains a common and effective way to convey the scale of information. Effective writing involves specifying the dataset's characteristics and implications. Remember that the value of "a large dataset" depends on its quality and the methods used to analyze it.

FAQs

How can I use "a large dataset" in a sentence?

You can use "a large dataset" to describe the foundation of a study, for example: "The conclusions are based on "a large dataset" of consumer transactions."

What are some alternatives to saying "a large dataset"?

Depending on the context, you can use alternatives such as "extensive data collection", "substantial volume of data", or "comprehensive data repository".

Is it always better to have "a large dataset"?

Not necessarily. While "a large dataset" can provide more statistical power, it also requires more resources for analysis and may contain biases that are not present in smaller, more carefully curated datasets.

What are the challenges of working with "a large dataset"?

Working with "a large dataset" can present challenges such as increased computational demands, the need for specialized software, and the difficulty of ensuring data quality and consistency.

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Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: