code: def load_feedback_dataset_from_huggingface(
      repo_id: str, split: str = "train", samples: int = 100
  ):
      print(f"Loading {repo_id} dataset")
  
      # Load dataset from the hub
      dataset = rg.FeedbackDataset.from_huggingface(
          repo_id=repo_id,
          split=f"{split}{f'[:{samples}]' if samples else ''}",
      )
  
      # Remove the `responses` from every `FeedbackRecord` to upload just the `fields`
      for record in dataset.records:
          record.responses = []
  
      dataset.push_to_argilla(name=repo_id.split("/")[-1])
  
file_path: argilla/docker/scripts/load_data.py
imports: import sys
  import time
  from typing import Union
  import argilla
  import pandas
  import requests
  from argilla.labeling.text_classification import Rule, add_rules
  from datasets import load_dataset
label_desc: Use image node_id 6 for calling the LoadDatasets obj's underlying member method code with example usage: obj.load_feedback_dataset_from_huggingface(repo_id, split, samples) without return types