Datasets:

---

rana1824

/

my-amazon-datasets

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Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 6 new columns ({'dateAdded', 'primaryCategories', 'dateUpdated', 'imageURLs', 'manufacturerNumber', 'sourceURLs'}) and 3 missing columns ({'reviews.userCity', 'reviews.userProvince', 'reviews.didPurchase'}).

This happened while the csv dataset builder was generating data using

hf://datasets/rana1824/my-amazon-datasets/config1/Datafiniti_Amazon_Consumer_Reviews_of_Amazon_Products.csv (at revision f59fc20b55c596be09e741183f0ee66c8503dd61)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              dateAdded: string
              dateUpdated: string
              name: string
              asins: string
              brand: string
              categories: string
              primaryCategories: string
              imageURLs: string
              keys: string
              manufacturer: string
              manufacturerNumber: string
              reviews.date: string
              reviews.dateAdded: string
              reviews.dateSeen: string
              reviews.doRecommend: bool
              reviews.id: double
              reviews.numHelpful: int64
              reviews.rating: int64
              reviews.sourceURLs: string
              reviews.text: string
              reviews.title: string
              reviews.username: string
              sourceURLs: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3214
              to
              {'id': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'asins': Value(dtype='string', id=None), 'brand': Value(dtype='string', id=None), 'categories': Value(dtype='string', id=None), 'keys': Value(dtype='string', id=None), 'manufacturer': Value(dtype='string', id=None), 'reviews.date': Value(dtype='string', id=None), 'reviews.dateAdded': Value(dtype='string', id=None), 'reviews.dateSeen': Value(dtype='string', id=None), 'reviews.didPurchase': Value(dtype='float64', id=None), 'reviews.doRecommend': Value(dtype='bool', id=None), 'reviews.id': Value(dtype='float64', id=None), 'reviews.numHelpful': Value(dtype='float64', id=None), 'reviews.rating': Value(dtype='float64', id=None), 'reviews.sourceURLs': Value(dtype='string', id=None), 'reviews.text': Value(dtype='string', id=None), 'reviews.title': Value(dtype='string', id=None), 'reviews.userCity': Value(dtype='float64', id=None), 'reviews.userProvince': Value(dtype='float64', id=None), 'reviews.username': Value(dtype='string', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1438, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 6 new columns ({'dateAdded', 'primaryCategories', 'dateUpdated', 'imageURLs', 'manufacturerNumber', 'sourceURLs'}) and 3 missing columns ({'reviews.userCity', 'reviews.userProvince', 'reviews.didPurchase'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/rana1824/my-amazon-datasets/config1/Datafiniti_Amazon_Consumer_Reviews_of_Amazon_Products.csv (at revision f59fc20b55c596be09e741183f0ee66c8503dd61)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)