class_docstr: AmazonUSReviews dataset.
class_docstr_tok: ["AmazonUSReviews","dataset","."]
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "data": collections.OrderedDict(
                      [
                          ("marketplace", np.str_),
                          ("customer_id", np.str_),
                          ("review_id", np.str_),
                          ("product_id", np.str_),
                          ("product_parent", np.str_),
                          ("product_title", np.str_),
                          ("product_category", np.str_),
                          ("star_rating", np.int32),
                          ("helpful_votes", np.int32),
                          ("total_votes", np.int32),
                          (
                              "vine",
                              tfds.features.ClassLabel(
                                  names=["Y", "N"]
                              ),
                          ),
                          (
                              "verified_purchase",
                              tfds.features.ClassLabel(
                                  names=["Y", "N"]
                              ),
                          ),
                          ("review_headline", np.str_),
                          ("review_body", np.str_),
                          ("review_date", np.str_),
                      ]
                  )
              }
          ),
          supervised_keys=None,
          homepage="https://s3.amazonaws.com/amazon-reviews-pds/readme.html",
      )
  
file_path: datasets/tensorflow_datasets/datasets/amazon_us_reviews/amazon_us_reviews_dataset_builder.py
imports: import collections
  import csv
  from etils import epath
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Builder obj's underlying member method code with example usage: obj._info() and returns: self