code: def filter_english_datasets():
      """
      Filter English datasets based on language tags in metadata.
  
      Also includes the datasets of any users listed in INCLUDED_USERS
      """
      english_datasets = []
  
      response = requests.get(
          "https://huggingface.co/api/datasets?full=true"
      )
      tags = response.json()
      while "next" in response.links:
          # Handle pagination of `/api/datasets` endpoint
          response = requests.get(response.links["next"]["url"])
          tags += response.json()
  
      for dataset in tags:
          dataset_name = dataset["id"]
  
          is_community_dataset = "/" in dataset_name
          if is_community_dataset:
              user = dataset_name.split("/")[0]
              if user in INCLUDED_USERS:
                  english_datasets.append(dataset_name)
              continue
  
          if "cardData" not in dataset:
              continue
          metadata = dataset["cardData"]
  
          if "language" not in metadata:
              continue
          languages = metadata["language"]
  
          if "en" in languages or "en-US" in languages:
              english_datasets.append(dataset_name)
  
      return sorted(english_datasets)
  
file_path: promptsource/promptsource/utils.py
imports: import os
  import datasets
  import requests
  from promptsource import DEFAULT_PROMPTSOURCE_CACHE_HOME
  from promptsource.templates import INCLUDED_USERS
label_desc: Use image node_id 7 for calling a global function with example usage: filter_english_datasets() and returns: sorted