The phrase "a dataset for a" is correct and usable in written English.
It can be used when referring to a specific dataset that serves a particular purpose or is intended for a specific application.
Example: "We have created a dataset for a machine learning project that aims to improve image recognition."
Alternatives: "a dataset intended for a" or "a dataset designed for a".
Eight engineering design companies serve as a dataset for a multi-case investigation.
Due to the limitation of our dataset, this study can use the change of EFX balance to reflect a total amount of consumption by consumers even though we do not have a dataset for a total amount of purchase.
The classification accuracy may vary between datasets and descriptors, but also within a dataset for a specific descriptor, i.e., all classes may not equally be easy or difficult to discriminate.
Such applications support users in the development and training of QSAR models against their own toxicological datasets, e.g., they may upload a dataset for a given endpoint to an OpenTox service, define a variety of parameters and build and download a model.
The idea of ambiguity is to try to increase the coverage within a dataset for a given motif.
These six values represented a dataset for a single biopsy (patient) stained for a particular marker.
We implemented our algorithm in C++ and tested our program (named GeneStitch) on simulated datasets for a single genome and a dataset for an artificial microbial community.
A Dataset for Movie Description.
Large datasets allow for analytic flexibility, and it is all too tempting to trawl a dataset for "significant" associations.
The Information Initiative at Duke (iiD), in partnership with the Social Science Research Institute (SSRI), supports pairs of graduate students to prepare a dataset for use in an existing undergraduate course.
Any attempt to highlight patterns in a dataset for such a restricted scale (locally and chronologically) needs to make use of robust data analysis methods; thus our results were submitted to exploratory statistical analysis.
