Datasets:

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KarthiK5527

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machine_learning_amazon

Like 0

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 4 new columns ({'business_address', 'country', 'business_name', 'entity_id'}) and 2 missing columns ({'matched_entity_ids', 'source1_entity_id'}).

This happened while the csv dataset builder was generating data using

hf://datasets/KarthiK5527/machine_learning_amazon/amazon mlk/student_resource/dataset/train/train_source1.tsv (at revision 92073416fae8ae581f1f3c8904ffb0631633569d), ['hf://datasets/KarthiK5527/machine_learning_amazon@92073416fae8ae581f1f3c8904ffb0631633569d/amazon mlk/student_resource/dataset/train/train_ground_truth.tsv', 'hf://datasets/KarthiK5527/machine_learning_amazon@92073416fae8ae581f1f3c8904ffb0631633569d/amazon mlk/student_resource/dataset/train/train_source1.tsv', 'hf://datasets/KarthiK5527/machine_learning_amazon@92073416fae8ae581f1f3c8904ffb0631633569d/amazon mlk/student_resource/dataset/train/train_source2.tsv', 'hf://datasets/KarthiK5527/machine_learning_amazon@92073416fae8ae581f1f3c8904ffb0631633569d/amazon mlk/student_resource/dataset/train/train_source3.tsv']

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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              entity_id: string
              business_name: string
              business_address: string
              country: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 771
              to
              {'source1_entity_id': Value('string'), 'matched_entity_ids': Value('string')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 4 new columns ({'business_address', 'country', 'business_name', 'entity_id'}) and 2 missing columns ({'matched_entity_ids', 'source1_entity_id'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/KarthiK5527/machine_learning_amazon/amazon mlk/student_resource/dataset/train/train_source1.tsv (at revision 92073416fae8ae581f1f3c8904ffb0631633569d), ['hf://datasets/KarthiK5527/machine_learning_amazon@92073416fae8ae581f1f3c8904ffb0631633569d/amazon mlk/student_resource/dataset/train/train_ground_truth.tsv', 'hf://datasets/KarthiK5527/machine_learning_amazon@92073416fae8ae581f1f3c8904ffb0631633569d/amazon mlk/student_resource/dataset/train/train_source1.tsv', 'hf://datasets/KarthiK5527/machine_learning_amazon@92073416fae8ae581f1f3c8904ffb0631633569d/amazon mlk/student_resource/dataset/train/train_source2.tsv', 'hf://datasets/KarthiK5527/machine_learning_amazon@92073416fae8ae581f1f3c8904ffb0631633569d/amazon mlk/student_resource/dataset/train/train_source3.tsv']
              
              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)