a dataset

USAGE SUMMARY

"a dataset" is correct and usable in written English.
You can use it to refer to a collection of related data, typically in tabular form. For example: "The researchers used a dataset containing 8 years of demographic data".

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

A Dataset for Movie Description.

University of California, Berkeley

Given a dataset, you can fit it to a forecast.

The Guardian - Tech

Get a crate from a dataset.

Harvard University

This is a dataset variable page.

Columbia University

How do I get a dataset?

Cornell University

Coincidental colocalisation statistics were calculated for a dataset as follows.

Nature

That produced a dataset of some 2.6 million tweets.

MIT Technology Review

Applying these criteria resulted in a dataset of 200 proteins.

Nature

A dataset of neonatal EEG recordings with seizure annotations.

Nature

With the right tools and techniques, anyone can understand the contents of a dataset, right?

The Guardian

"We'd always known that coins was a bit of a dogs breakfast of a dataset.

The Guardian

Expert writing Tips

Best practice

When referring to a specific dataset, provide context about its source, size, and relevant characteristics to ensure clarity for your audience.

Common error

Avoid assuming that your audience is familiar with the specific details or limitations of the dataset you're referencing. Always clarify the key aspects relevant to your argument or analysis.

Linguistic Context

The phrase "a dataset" functions primarily as a noun phrase, serving as the subject or object within a sentence. Ludwig shows it's often used to refer to a specific collection of data being analyzed or discussed.

Expression frequency: Very common

Frequent in

Science

35%

News & Media

33%

Academia

32%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "a dataset" is a grammatically correct and frequently used noun phrase that refers to a collection of data. Ludwig AI confirms its validity and common usage across diverse fields like science, news media, and academia. The phrase is most appropriate in formal and scientific contexts, and when using it, clarify the scope, source, and limitations of the dataset to prevent misunderstandings. Alternative phrases such as "a body of data" or "a collection of data" can be used depending on the specific nuance you want to convey. Remember to contextualize your dataset for your audience, considering their familiarity with data analysis concepts.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

a data set

Simply a different spelling variation of the same concept.

a body of data

Emphasizes the substantial amount of information contained.

a collection of data

Highlights the act of gathering individual pieces into a whole.

a data repository

Focuses on the storage aspect of the information.

a data bank

Suggests a structured collection similar to a financial institution.

a data store

Emphasizes the place where data is kept and managed.

an information base

Broader term that covers all types of information, not just structured data.

a compilation of data

Highlights the process of gathering data from different sources.

a record set

Implies data is organized into records, often used in database contexts.

a data archive

Suggests that the data is preserved for historical or long-term use.

FAQs

How is "a dataset" typically used in a sentence?

Typically, "a dataset" functions as a noun, often followed by a verb describing its action or characteristic, such as "a dataset containing" or "a dataset showing".

What are some alternatives to using the phrase "a dataset"?

Depending on the context, you could use alternatives like "a body of data", "a collection of data", or "a data repository".

Is it acceptable to use "a dataset" in formal writing?

Yes, "a dataset" is perfectly acceptable in formal writing, especially in scientific, academic, or business contexts where data analysis is common.

What should I consider when describing "a dataset" in my writing?

When describing "a dataset", it's important to mention its source, size, key variables, and any limitations that might affect its interpretation or application.