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xpertsystems

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mfg003-sample

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Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
asset_id: string
asset_type: string
failure_timestamp: string
cumulative_hours_at_failure: double
failure_mode: string
cost_of_failure_usd: double
maintenance_cost_usd: double
downtime_hours: double
edge_case_type: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1445
to
{'asset_id': Value('string'), 'asset_type': Value('string'), 'observation_timestamp': Value('string'), 'cumulative_operating_hours': Value('float64'), 'health_index': Value('float64'), 'degradation_stage': Value('string'), 'anomaly_score': Value('float64'), 'edge_case_type': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 764, in write_table
                  self.write_rows_on_file()  # in case there are buffered rows to write first
                  ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              asset_id: string
              asset_type: string
              failure_timestamp: string
              cumulative_hours_at_failure: double
              failure_mode: string
              cost_of_failure_usd: double
              maintenance_cost_usd: double
              downtime_hours: double
              edge_case_type: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1445
              to
              {'asset_id': Value('string'), 'asset_type': Value('string'), 'observation_timestamp': Value('string'), 'cumulative_operating_hours': Value('float64'), 'health_index': Value('float64'), 'degradation_stage': Value('string'), 'anomaly_score': Value('float64'), 'edge_case_type': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, 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 ({'cost_of_failure_usd', 'failure_timestamp', 'failure_mode', 'maintenance_cost_usd', 'cumulative_hours_at_failure', 'downtime_hours'}) and 5 missing columns ({'observation_timestamp', 'cumulative_operating_hours', 'anomaly_score', 'degradation_stage', 'health_index'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/xpertsystems/mfg003-sample/maintenance_schedule_optimal.csv (at revision 338c48b2904d0538ad6cc18ac5dc9ecf88dd6024), [/tmp/hf-datasets-cache/medium/datasets/69453401428055-config-parquet-and-info-xpertsystems-mfg003-sampl-747718a8/hub/datasets--xpertsystems--mfg003-sample/snapshots/338c48b2904d0538ad6cc18ac5dc9ecf88dd6024/asset_health_trajectories.csv (origin=hf://datasets/xpertsystems/mfg003-sample@338c48b2904d0538ad6cc18ac5dc9ecf88dd6024/asset_health_trajectories.csv), /tmp/hf-datasets-cache/medium/datasets/69453401428055-config-parquet-and-info-xpertsystems-mfg003-sampl-747718a8/hub/datasets--xpertsystems--mfg003-sample/snapshots/338c48b2904d0538ad6cc18ac5dc9ecf88dd6024/failure_event_log.csv (origin=hf://datasets/xpertsystems/mfg003-sample@338c48b2904d0538ad6cc18ac5dc9ecf88dd6024/failure_event_log.csv), /tmp/hf-datasets-cache/medium/datasets/69453401428055-config-parquet-and-info-xpertsystems-mfg003-sampl-747718a8/hub/datasets--xpertsystems--mfg003-sample/snapshots/338c48b2904d0538ad6cc18ac5dc9ecf88dd6024/maintenance_schedule_optimal.csv (origin=hf://datasets/xpertsystems/mfg003-sample@338c48b2904d0538ad6cc18ac5dc9ecf88dd6024/maintenance_schedule_optimal.csv), /tmp/hf-datasets-cache/medium/datasets/69453401428055-config-parquet-and-info-xpertsystems-mfg003-sampl-747718a8/hub/datasets--xpertsystems--mfg003-sample/snapshots/338c48b2904d0538ad6cc18ac5dc9ecf88dd6024/mfg003_synthetic_predictive_maintenance.csv (origin=hf://datasets/xpertsystems/mfg003-sample@338c48b2904d0538ad6cc18ac5dc9ecf88dd6024/mfg003_synthetic_predictive_maintenance.csv), /tmp/hf-datasets-cache/medium/datasets/69453401428055-config-parquet-and-info-xpertsystems-mfg003-sampl-747718a8/hub/datasets--xpertsystems--mfg003-sample/snapshots/338c48b2904d0538ad6cc18ac5dc9ecf88dd6024/rul_ground_truth_summary.csv (origin=hf://datasets/xpertsystems/mfg003-sample@338c48b2904d0538ad6cc18ac5dc9ecf88dd6024/rul_ground_truth_summary.csv)]
              
              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)
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              asset_id: string
              asset_type: string
              failure_timestamp: string
              cumulative_hours_at_failure: double
              failure_mode: string
              cost_of_failure_usd: double
              maintenance_cost_usd: double
              downtime_hours: double
              edge_case_type: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1445
              to
              {'asset_id': Value('string'), 'asset_type': Value('string'), 'observation_timestamp': Value('string'), 'cumulative_operating_hours': Value('float64'), 'health_index': Value('float64'), 'degradation_stage': Value('string'), 'anomaly_score': Value('float64'), 'edge_case_type': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset