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amazon_reviews_multi

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Defunct Datasets 3

Hi,

I receive a DatasetGenerationError when performing load_dataset("amazon_reviews_multi", 'en'). It happens during train split generation due to JSONDecodeError. I tested it on my PC and in google colab. Attaching trace below

JSONDecodeError 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)
1675 _time = time.time()
-> 1676 for key, record in generator:
1677 if max_shard_size is not None and writer._num_bytes > max_shard_size:

10 frames
~/.cache/huggingface/modules/datasets_modules/datasets/amazon_reviews_multi/724e94f4b0c6c405ce7e476a6c5ef4f87db30799ad49f765094cf9770e0f7609/amazon_reviews_multi.py in _generate_examples(self, file_paths)
129 for line in f:
--> 130 yield row_count, json.loads(line)
131 row_count += 1

/usr/lib/python3.10/json/init.py in loads(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
345 parse_constant is None and object_pairs_hook is None and not kw):
--> 346 return _default_decoder.decode(s)
347 if cls is None:

/usr/lib/python3.10/json/decoder.py in decode(self, s, _w)
336 """
--> 337 obj, end = self.raw_decode(s, idx=_w(s, 0).end())
338 end = _w(s, end).end()

/usr/lib/python3.10/json/decoder.py in raw_decode(self, s, idx)
354 except StopIteration as err:
--> 355 raise JSONDecodeError("Expecting value", s, err.value) from None
356 return obj, end

JSONDecodeError: Expecting value: line 1 column 1 (char 0)

The above exception was the direct cause of the following exception:

DatasetGenerationError Traceback (most recent call last)
in <cell line: 2>()
1 from datasets import load_dataset
----> 2 dataset = load_dataset("amazon_reviews_multi", 'en')

/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)
2128
2129 # Download and prepare data
-> 2130 builder_instance.download_and_prepare(
2131 download_config=download_config,
2132 download_mode=download_mode,

/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 if num_proc is not None:
953 prepare_split_kwargs["num_proc"] = num_proc
--> 954 self._download_and_prepare(
955 dl_manager=dl_manager,
956 verification_mode=verification_mode,

/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs)
1715
1716 def _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs):
-> 1717 super()._download_and_prepare(
1718 dl_manager,
1719 verification_mode,

/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs)
1047 try:
1048 # Prepare split will record examples associated to the split
-> 1049 self._prepare_split(split_generator, **prepare_split_kwargs)
1050 except OSError as e:
1051 raise OSError(

/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 job_id = 0
1554 with pbar:
-> 1555 for job_id, done, content in self._prepare_split_single(
1556 gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
1557 ):

/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)
1710 if isinstance(e, SchemaInferenceError) and e.context is not None:
1711 e = e.context
-> 1712 raise DatasetGenerationError("An error occurred while generating the dataset") from e
1713
1714 yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_shards, shard_lengths)

DatasetGenerationError: An error occurred while generating the dataset