from datasets import load_dataset
dataset = load_dataset("amazon_us_reviews", "Toys_v1_00")

KeyError                                  Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, split_info, check_duplicate_keys, job_id)
1692         )
-> 1693         self._beam_writers[split_name] = beam_writer
1694 
11 frames
/usr/local/lib/python3.10/dist-packages/datasets/features/features.py in encode_example(self, example)
1850         ```
-> 1851         """
1852         return copy.deepcopy(self)
/usr/local/lib/python3.10/dist-packages/datasets/features/features.py in encode_nested_example(schema, obj, level)
1228     """Decode a nested example.
-> 1229     This is used since some features (in particular Audio and Image) have some logic during decoding.
1230 
/usr/local/lib/python3.10/dist-packages/datasets/features/features.py in <dictcomp>(.0)
1228     """Decode a nested example.
-> 1229     This is used since some features (in particular Audio and Image) have some logic during decoding.
1230 
/usr/local/lib/python3.10/dist-packages/datasets/utils/py_utils.py in zip_dict(*dicts)
321     def __get__(self, obj, objtype=None):
--> 322         return self.fget.__get__(None, objtype)()
323 
/usr/local/lib/python3.10/dist-packages/datasets/utils/py_utils.py in <genexpr>(.0)
321     def __get__(self, obj, objtype=None):
--> 322         return self.fget.__get__(None, objtype)()
323 
KeyError: 'marketplace'
The above exception was the direct cause of the following exception:
DatasetGenerationError                    Traceback (most recent call last)
<ipython-input-25-341913a5da6a> in <cell line: 1>()
----> 1 dataset = load_dataset("amazon_us_reviews", "Toys_v1_00")
/usr/local/lib/python3.10/dist-packages/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, **config_kwargs)
/usr/local/lib/python3.10/dist-packages/datasets/builder.py in download_and_prepare(self, output_dir, download_config, download_mode, verification_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)
952         with FileLock(lock_path) if is_local else contextlib.nullcontext():
953             self.info.write_to_directory(self._output_dir, fs=self._fs)
--> 954 
955     def _save_infos(self):
956         is_local = not is_remote_filesystem(self._fs)
/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs)
/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs)
1047             in_memory=in_memory,
1048         )
-> 1049         if run_post_process:
1050             for resource_file_name in self._post_processing_resources(split).values():
1051                 if os.sep in resource_file_name:
/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _prepare_split(self, split_generator, check_duplicate_keys, file_format, num_proc, max_shard_size)
1553 
1554 class BeamBasedBuilder(DatasetBuilder):
-> 1555     """Beam based Builder."""
1556 
1557     # BeamBasedBuilder does not have dummy data for tests yet
/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, split_info, check_duplicate_keys, job_id)
DatasetGenerationError: An error occurred while generating the dataset

from datasets import load_dataset_builder
ds_builder = load_dataset_builder("amazon_us_reviews", "Toys_v1_00")
print(ds_builder.info.features)

{'marketplace': Value(dtype='string', id=None),
'customer_id': Value(dtype='string', id=None),
'review_id': Value(dtype='string', id=None),
'product_id': Value(dtype='string', id=None),
'product_parent': Value(dtype='string', id=None),
'product_title': Value(dtype='string', id=None),
'product_category': Value(dtype='string', id=None),
'star_rating': Value(dtype='int32', id=None),
'helpful_votes': Value(dtype='int32', id=None),
'total_votes': Value(dtype='int32', id=None),
'vine': ClassLabel(names=['N', 'Y'], id=None),
'verified_purchase': ClassLabel(names=['N', 'Y'], id=None),
'review_headline': Value(dtype='string', id=None),
'review_body': Value(dtype='string', id=None),
'review_date': Value(dtype='string', id=None)}