Some tasks are inferred based on the benchmarks list.
The benchmarks section lists all benchmarks using a given dataset or any of its variants. We use variants to distinguish between results evaluated on slightly different versions of the same dataset. For example, ImageNet 32⨉32 and ImageNet 64⨉64 are variants of the ImageNet dataset.
This ExAIS_SMS Spam dataset was a project conducted at the Federal University of Agriculture, Abeokuta, Nigeria with the aim of building an indigenous SMS Spam corpus with African-English context.