pytorch
💡 [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
This sounds like an improvement to the PyTorch itself rather than a tutorial request. Can you please file this in pytorch/pytorch instead? Thank you.
