def push_to_huggingface(
        self: "FeedbackDataset",
        repo_id: str,
        generate_card: Optional[bool] = True,
        *args,
        **kwargs,
    ) -> None:
        """Pushes the `FeedbackDataset` to the Hugging Face Hub. If the dataset has been previously pushed to the
        Hugging Face Hub, it will be updated instead. Note that some params as `private` have no effect at all
        when a dataset is previously uploaded to the Hugging Face Hub.

        Args:
            dataset: the `FeedbackDataset` to push to the Hugging Face Hub.
            repo_id: the ID of the Hugging Face Hub repo to push the `FeedbackDataset` to.
            generate_card: whether to generate a dataset card for the `FeedbackDataset` in the Hugging Face Hub. Defaults
                to `True`.
            *args: the args to pass to `datasets.Dataset.push_to_hub`.
            **kwargs: the kwargs to pass to `datasets.Dataset.push_to_hub`.
        """
        import huggingface_hub
        from huggingface_hub import HfApi

        # https://github.com/argilla-io/argilla/issues/3468
        from argilla_v1.client.feedback.config import DatasetConfig

        if parse_version(huggingface_hub.__version__) < parse_version("0.14.0"):
            _LOGGER.warning(
                "Recommended `huggingface_hub` version is 0.14.0 or higher, and you have"
                f" {huggingface_hub.__version__}, so in case you have any issue when pushing the dataset to the"
                " Hugging Face Hub upgrade it as `pip install huggingface_hub --upgrade`."
            )

        if len(self) < 1:
            raise ValueError(
                "Cannot push an empty `rg.FeedbackDataset` to the Hugging Face Hub, please make sure to add at"
                " least one record, via the method `add_records`."
            )

        hfds = self.format_as("datasets")
        hfds.push_to_hub(repo_id, *args, **kwargs)

        with tempfile.NamedTemporaryFile(mode="w", delete=False) as f:
            f.write(
                DatasetConfig(
                    fields=self.fields,
                    questions=self.questions,
                    guidelines=self.guidelines,
                    metadata_properties=self.metadata_properties or None,
                    allow_extra_metadata=self.allow_extra_metadata,
                    vectors_settings=self.vectors_settings or None,
                ).to_yaml()
            )
            f.flush()

            HfApi().upload_file(
                path_or_fileobj=f.name,
                path_in_repo="argilla.yaml",
                repo_id=repo_id,
                repo_type="dataset",
                token=kwargs.get("token"),
            )

        if generate_card:
            from huggingface_hub import DatasetCardData

            from argilla_v1.client.feedback.integrations.huggingface.card import (
                ArgillaDatasetCard,
                size_categories_parser,
            )

            sample_argilla_record = self.records[0]
            sample_argilla_record = (
                sample_argilla_record.to_local()
                if isinstance(sample_argilla_record, RemoteFeedbackRecord)
                else sample_argilla_record
            )
            sample_huggingface_record = hfds[0]

            card = ArgillaDatasetCard.from_template(
                card_data=DatasetCardData(
                    size_categories=size_categories_parser(len(self.records)),
                    tags=["rlfh", "argilla", "human-feedback"],
                ),
                repo_id=repo_id,
                argilla_fields=self.fields,
                argilla_questions=self.questions,
                argilla_guidelines=self.guidelines or None,
                argilla_vectors_settings=self.vectors_settings or None,
                argilla_metadata_properties=self.metadata_properties,
                argilla_record=json.loads(sample_argilla_record.json()),
                huggingface_record=sample_huggingface_record,
            )
            card.push_to_hub(repo_id, repo_type="dataset", token=kwargs.get("token"))
Pushes the `FeedbackDataset` to the Hugging Face Hub. If the dataset has been previously pushed to the
        Hugging Face Hub, it will be updated instead. Note that some params as `private` have no effect at all
        when a dataset is previously uploaded to the Hugging Face Hub.

        Args:
            dataset: the `FeedbackDataset` to push to the Hugging Face Hub.
            repo_id: the ID of the Hugging Face Hub repo to push the `FeedbackDataset` to.
            generate_card: whether to generate a dataset card for the `FeedbackDataset` in the Hugging Face Hub. Defaults
                to `True`.
            *args: the args to pass to `datasets.Dataset.push_to_hub`.
            **kwargs: the kwargs to pass to `datasets.Dataset.push_to_hub`.
        
argilla-v1/src/argilla_v1/client/feedback/integrations/huggingface/dataset.py