KeyError: "marketplace" while downloading "amazon_us_reviews" dataset – huggingface datasets

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英文:

KeyError: "marketplace" while downloading "amazon_us_reviews" dataset - huggingface datasets

问题

我正在尝试使用以下代码下载amazon_us_reviews数据集:

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

我遇到了以下错误:

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         return copy.deepcopy(self)
   1852 

/usr/local/lib/python3.10/dist-packages/datasets/features/features.py in encode_nested_example(schema, obj, level)
   1228     
-> 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     
-> 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'

上述异常是以下异常的直接原因

```python
DatasetGenerationError                    Traceback (most recent call last)
<ipython-input-25-341913a5da6a> in <cell line: 1>()
----> 1 dataset = load_dataset("amazon_us_reviews", "Toys_v1_00")

我尝试使用load_dataset_builder,它显示以下特征:

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

输出:

{'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)}

使用的datasets版本是2.14.4。这是正确下载数据集的方法吗?请给予建议。

英文:

I am trying to download the amazon_us_reviews dataset using the following code:

from datasets import load_dataset
dataset = load_dataset(&quot;amazon_us_reviews&quot;, &quot;Toys_v1_00&quot;)

I am getting the following error:

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         )
-&gt; 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         ```
-&gt; 1851         &quot;&quot;&quot;
1852         return copy.deepcopy(self)
/usr/local/lib/python3.10/dist-packages/datasets/features/features.py in encode_nested_example(schema, obj, level)
1228     &quot;&quot;&quot;Decode a nested example.
-&gt; 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 &lt;dictcomp&gt;(.0)
1228     &quot;&quot;&quot;Decode a nested example.
-&gt; 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):
--&gt; 322         return self.fget.__get__(None, objtype)()
323 
/usr/local/lib/python3.10/dist-packages/datasets/utils/py_utils.py in &lt;genexpr&gt;(.0)
321     def __get__(self, obj, objtype=None):
--&gt; 322         return self.fget.__get__(None, objtype)()
323 
KeyError: &#39;marketplace&#39;
The above exception was the direct cause of the following exception:
DatasetGenerationError                    Traceback (most recent call last)
&lt;ipython-input-25-341913a5da6a&gt; in &lt;cell line: 1&gt;()
----&gt; 1 dataset = load_dataset(&quot;amazon_us_reviews&quot;, &quot;Toys_v1_00&quot;)
/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)
--&gt; 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         )
-&gt; 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):
-&gt; 1555     &quot;&quot;&quot;Beam based Builder.&quot;&quot;&quot;
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

I tried with the load_dataset_builder it is showing the following features:

from datasets import load_dataset_builder
ds_builder = load_dataset_builder(&quot;amazon_us_reviews&quot;, &quot;Toys_v1_00&quot;)
print(ds_builder.info.features)

Output:

{&#39;marketplace&#39;: Value(dtype=&#39;string&#39;, id=None),
&#39;customer_id&#39;: Value(dtype=&#39;string&#39;, id=None),
&#39;review_id&#39;: Value(dtype=&#39;string&#39;, id=None),
&#39;product_id&#39;: Value(dtype=&#39;string&#39;, id=None),
&#39;product_parent&#39;: Value(dtype=&#39;string&#39;, id=None),
&#39;product_title&#39;: Value(dtype=&#39;string&#39;, id=None),
&#39;product_category&#39;: Value(dtype=&#39;string&#39;, id=None),
&#39;star_rating&#39;: Value(dtype=&#39;int32&#39;, id=None),
&#39;helpful_votes&#39;: Value(dtype=&#39;int32&#39;, id=None),
&#39;total_votes&#39;: Value(dtype=&#39;int32&#39;, id=None),
&#39;vine&#39;: ClassLabel(names=[&#39;N&#39;, &#39;Y&#39;], id=None),
&#39;verified_purchase&#39;: ClassLabel(names=[&#39;N&#39;, &#39;Y&#39;], id=None),
&#39;review_headline&#39;: Value(dtype=&#39;string&#39;, id=None),
&#39;review_body&#39;: Value(dtype=&#39;string&#39;, id=None),
&#39;review_date&#39;: Value(dtype=&#39;string&#39;, id=None)}

The datasets version used is 2.14.4

Is this the correct way to download the dataset? Kindly advise.

答案1

得分: 1

你的语法是正确的,我认为问题出在亚马逊这边 - 即使是应该包含 README 的公开根页面现在也显示访问被拒绝:https://s3.amazonaws.com/amazon-reviews-pds/readme.html

也许现在可以使用不同的数据集,还有 amazon_reviews_multi

更新

亚马逊已决定停止分发这个数据集。

请参考这里

英文:

Your syntax is correct, I think the issue is on Amazon's side - even the publicly-facing root page which should contain a README is now throwing access denied: https://s3.amazonaws.com/amazon-reviews-pds/readme.html

Perhaps use a different dataset for now, there is also amazon_reviews_multi.

Update:

> Amazon has decided to stop distributing this dataset.

Refer here

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  • 本文由 发表于 2023年8月10日 20:24:05
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