code: def _download_amazon():
      extension = ".hdf5"
      url = (
          "https://github.com/maciejkula/recommender_datasets/"
          "releases/download"
      )
      version = "0.1.0"
  
      path = _transport.get_data(
          "/".join((url, version, "amazon_co_purchasing" + extension)),
          "amazon",
          "amazon_co_purchasing{}".format(extension),
      )
  
      with h5py.File(path, "r") as data:
          return (
              data["/user_id"][:],
              data["/item_id"][:],
              data["/rating"][:],
              data["/timestamp"][:],
              data["/features_item_id"][:],
              data["/features_feature_id"][:],
          )
  
file_path: spotlight/spotlight/datasets/amazon.py
imports: import h5py
  import numpy
  from spotlight.datasets import _transport
  from spotlight.interactions import Interactions
label_desc: Use image node_id 1 for calling a global function with example usage: _download_amazon() and returns: data,  data,  data,  data,  data,  data