Update Documentation for GX Core ( Run Validations Section )

[RupeshKeesaram]

Describe the bug
When following the documentation to know more about the Validation definition & running validations, I'm encountering the following issue

BuildBatchRequestError: Bad input to build_batch_request: options must contain exactly 1 key, 'dataframe'.

Even though answer to this issue is provided at #10270 , it's not updated in the documentation

To Reproduce
import great_expectations as gx

context = gx.get_context()
set_up_context_for_example(context)

Retrieve an Expectation Suite

expectation_suite_name = "my_expectation_suite"
expectation_suite = context.suites.get(name=expectation_suite_name)

Retrieve a Batch Definition

data_source_name = "my_data_source"
data_asset_name = "my_data_asset"
batch_definition_name = "my_batch_definition"
batch_definition = (
context.data_sources.get(data_source_name)
.get_asset(data_asset_name)
.get_batch_definition(batch_definition_name)
)

Create a Validation Definition

definition_name = "my_validation_definition"
validation_definition = gx.ValidationDefinition(
data=batch_definition, suite=expectation_suite, name=definition_name
)

Add the Validation Definition to the Data Context

validation_definition = context.validation_definitions.add(validation_definition)

validation_results = validation_definition.run()

Expected behavior
The batch data should be validated with the provided expectation suite, but it's throwing an BuildBatchRequestError.

Environment (please complete the following information):

• Operating System: [Windows]
• Great Expectations Version: [1.2.6]
• Data Source: [Pandas]
• Cloud environment: [Local]

Additional context
The issue can be mitigated or fixed by passing batch_parameters. Update the documentation for the same.