[I/O] Share and use datasets via Python code

## About
Easily consume datasets from tutorials and/or production applications like others are doing it, using Python code.

## References
- Add package [datasets](https://github.com/huggingface/datasets).
- Add a convience function `cratedb_toolkit.tutorial.load_dataset` like `datasets.load_dataset`, [xarray.tutorial.load_dataset](https://github.com/pydata/xarray/blob/v2023.11.0/xarray/tutorial.py#L169-L207), or [`azureml.opendatasets`](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-catalog).
- Add convenient access to datasets at https://github.com/crate/cratedb-datasets.
- See also [NycTlcYellow class](https://learn.microsoft.com/en-us/python/api/azureml-opendatasets/azureml.opendatasets.nyctlcyellow?view=azure-ml-py).
- See also https://github.com/MicrosoftDocs/azure-docs/tree/main/articles/open-datasets.
- https://github.com/coderholic/django-cities
- `from sklearn.datasets import load_iris`
- https://github.com/OvertureMaps/data
- https://ml-explore.github.io/mlx-data/build/html/python/common_datasets.html
- https://github.com/pinecone-io/pinecone-datasets
- https://github.com/orgs/fivetran/repositories
- https://github.com/posit-dev/great-tables
- https://github.com/lerocha/chinook-database
- https://github.com/tensorflow/datasets
- https://github.com/sivakumar-mahalingam/country-db

## Standards
- Data Catalog Vocabulary (DCAT) - Version 3
https://www.w3.org/TR/vocab-dcat-3/