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[Feature] pretty prints of objects

See original GitHub issue

🚨🚨 Feature Request

If your feature will improve `HUB`

To explore the structure of a dataset it is convenient to have nicer and more informative prints of dataset objects and samples

Description of the possible solution

1) show ds

now

> ds
Dataset(path='hub://activeloop/abalone_full_dataset', tensors=['length', 'diameter', 'height', 'weight'])

Something along the lines would work (taken from SQLlite)

> ds.height
path: "hub://activeloop/abalone_full_dataset", samples:  1532596

tensor    htype        dtype    shape       compression
------    ------       ------   ------      -----------
length    image        uint8    256x256x3   jpeg
diameter  image        float32  512x512x3   zstd
height    image        float32  512x512x3   zstd
weight    class_label  int32    32          None

and in jupyter notebook shown as a table similar to pandas

2) show ds.tensor

now

> ds.height
Tensor(key='Length')

at least provide full information about tensor

> ds.height
Tensor(
    key='height', 
    htype='image', 
    dtype='uint8', 
    shape=(256, 256, 3), 
    sample_compression='jpeg'
)

or to make consistent with 1)

> ds.height
tensor    htype    dtype     shape       compression
------    ------   ------    ------      -----------
height    image    float32   512x512x3   zstd

2) show ds[0:5] sample

> ds[0:5]
    length    diameter     height     weight
    ------    --------     ------     ------
0      0.5    [[0.,...,0]] "sent.."      dog   
0      0.5    [[0.,...,0]] "text a"      dog   
0      0.5    [[0.,...,0]] "text b"      dog

and in jupyter notebook visualize images (and other htypes)

Notes

Feel free to provide a better format for printing dataset, tensor and sample classes
Feel free to suggest other important classes/objects need to printed properly for exploring the structure