💡 [REQUEST] - <title>An inbuilt function to retrieve a list of datasets categorised by problem type (e.g., classification, regression, clustering).

🚀 Descirbe the improvement or the new tutorial

PyTorch has inbuilt function to list all datasets.

`import torchvision.datasets as datasets

//Get a list of all datasets
all_datasets = datasets.all

//Print the list of datasets
print(all_datasets)
`
Rather than focusing on getting all the dataset, we can include a parameter. Parameter will take the type of task person wants to do e.g Clustering, Regression, Classification. After putting parameter all the related dataset according to task will be shown.

Overall, a built-in function to retrieve a list of datasets categorised by problem type would be a valuable addition to PyTorch. It would make it easier for users to find, discover, use, and share datasets.

Existing tutorials on this topic

No response

Additional context

No response

### Tasks

### Tasks
- [ ] Add a draft title or issue reference here

### Tasks

No repository files or tests are named; start by reviewing the referenced torchvision.datasets API and how this tutorials repository handles dataset-related content. Clarify whether the request belongs in tutorials or the PyTorch dataset API, then define the supported problem categories and the behavior that would demonstrate completion.