[DOCS] review flow within docs for `TextDescriptivesExtractor`

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Thank you for your feedback on the documentation for the TextDescriptivesExtractor. I agree that there are areas where we can improve the clarity and flow of the information. Here are some suggestions:

Overview: We can start with a brief overview of what the TextDescriptivesExtractor class does. This will provide more context about how it fits into the larger Argilla project.
Methods: Each method should have a clear, concise summary of what it does. For example, the _extract_metrics_for_single_field method could explain what it means for a field to be "empty" and why such fields are skipped.
Parameters: Each parameter in the methods should be clearly explained. For instance, basic_metrics in _extract_metrics_for_single_field could use more detail about what they do and what their default values mean.
Return Values: Each method should clearly state what it returns. For example, _cast_to_python_types could use more detail about what the returned dataframe looks like.
Examples: We can include examples of how to use the class and its methods. While there are examples for the update_records and update_dataset methods, we could add examples for the other methods as well.
Error Handling: We can explain what errors can be raised and why. This is not currently done in the documentation.
Dependencies: If the class depends on any external libraries (like pandas or textdescriptives), these should be mentioned in the documentation.
Formatting: We can use consistent formatting for the documentation. This includes things like capitalization, punctuation, and code formatting.

Here's an example of how we might revise the documentation for the __init__ method:

def __init__(
    self,
    model: str = "en",
    metrics: Optional[List[str]] = None,
    fields: Optional[List[str]] = None,
    visible_for_annotators: bool = True,
    show_progress: bool = True,
):
    """
    Initialize a new TextDescriptivesExtractor object.

    Args:
        model (str, optional): The language of the model to use for text descriptives. Default is "en".
        metrics (Optional[List[str]], optional): A list of metrics to extract. Options include 
            ["descriptive_stats", "readability", "dependency_distance", "pos_proportions", "coherence", "quality", "information_theory"].
            If None, all metrics will be extracted. Default is None.
        fields (Optional[List[str]], optional): A list of field names to extract metrics from. If None, all fields will be used. Default is None.
        visible_for_annotators (bool, optional): Whether the extracted metrics should be visible to annotators. Default is True.
        show_progress (bool, optional): Whether to show a progress bar when extracting metrics. Default is True.
    """

This revised documentation provides more detail about what each parameter does and what their default values mean. I hope these suggestions are helpful. If you have any other ideas or feedback, please let me know.

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argilla-io / argilla

[DOCS] review flow within docs for `TextDescriptivesExtractor` #4438

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