Enable lazy validation at a dataset level

[Galileo-Galilei]

Description

Instead of failing immediately when one check is wrong, pandera supports perfomring all check before failing

Context

Make debugging easier by getting all errors in a single run

Possible Implementation

Pass kwargs to schema.validate() through a config file or a dataset.metadata extra key, e.g.:

iris: 
    type: pandas. CSVDataSet
    filepath: /path/to/iris.csv
    metadata:
        pandera:
            schema: ${pa.yaml: _iris_schema}
            validation_kwargs: 
                lazy: True

This key can ultimately support all the arguments available in the validate method: https://pandera.readthedocs.io/en/stable/reference/generated/methods/pandera.api.pandas.container.DataFrameSchema.validate.html