Datasets:

---

trngtina

/

challenge_data_ens_23

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 1 new columns ({'RET'}) and 46 missing columns ({'DATE', 'RET_2', 'RET_5', 'VOLUME_15', 'RET_19', 'RET_10', 'RET_13', 'INDUSTRY', 'VOLUME_18', 'VOLUME_19', 'VOLUME_2', 'RET_3', 'RET_9', 'VOLUME_10', 'RET_16', 'RET_12', 'VOLUME_3', 'RET_18', 'VOLUME_6', 'VOLUME_17', 'RET_4', 'RET_6', 'VOLUME_20', 'INDUSTRY_GROUP', 'VOLUME_7', 'RET_1', 'RET_7', 'VOLUME_11', 'RET_8', 'VOLUME_8', 'VOLUME_9', 'RET_17', 'SUB_INDUSTRY', 'STOCK', 'VOLUME_13', 'SECTOR', 'RET_14', 'VOLUME_1', 'RET_20', 'RET_15', 'VOLUME_4', 'VOLUME_5', 'VOLUME_16', 'VOLUME_12', 'VOLUME_14', 'RET_11'}).

This happened while the csv dataset builder was generating data using

hf://datasets/trngtina/challenge_data_ens_23/y_train_JQU4vbI.csv (at revision 6dd849d7276c34e598f0d7cdfb77ee2c1484324a), [/tmp/hf-datasets-cache/medium/datasets/31596933226012-config-parquet-and-info-trngtina-challenge_data_e-72a75926/hub/datasets--trngtina--challenge_data_ens_23/snapshots/6dd849d7276c34e598f0d7cdfb77ee2c1484324a/x_train_Lafd4AH.csv (origin=hf://datasets/trngtina/challenge_data_ens_23@6dd849d7276c34e598f0d7cdfb77ee2c1484324a/x_train_Lafd4AH.csv), /tmp/hf-datasets-cache/medium/datasets/31596933226012-config-parquet-and-info-trngtina-challenge_data_e-72a75926/hub/datasets--trngtina--challenge_data_ens_23/snapshots/6dd849d7276c34e598f0d7cdfb77ee2c1484324a/y_train_JQU4vbI.csv (origin=hf://datasets/trngtina/challenge_data_ens_23@6dd849d7276c34e598f0d7cdfb77ee2c1484324a/y_train_JQU4vbI.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)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              ID: int64
              RET: bool
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 465
              to
              {'ID': Value('int64'), 'DATE': Value('int64'), 'STOCK': Value('int64'), 'INDUSTRY': Value('int64'), 'INDUSTRY_GROUP': Value('int64'), 'SECTOR': Value('int64'), 'SUB_INDUSTRY': Value('int64'), 'RET_1': Value('float64'), 'VOLUME_1': Value('float64'), 'RET_2': Value('float64'), 'VOLUME_2': Value('float64'), 'RET_3': Value('float64'), 'VOLUME_3': Value('float64'), 'RET_4': Value('float64'), 'VOLUME_4': Value('float64'), 'RET_5': Value('float64'), 'VOLUME_5': Value('float64'), 'RET_6': Value('float64'), 'VOLUME_6': Value('float64'), 'RET_7': Value('float64'), 'VOLUME_7': Value('float64'), 'RET_8': Value('float64'), 'VOLUME_8': Value('float64'), 'RET_9': Value('float64'), 'VOLUME_9': Value('float64'), 'RET_10': Value('float64'), 'VOLUME_10': Value('float64'), 'RET_11': Value('float64'), 'VOLUME_11': Value('float64'), 'RET_12': Value('float64'), 'VOLUME_12': Value('float64'), 'RET_13': Value('float64'), 'VOLUME_13': Value('float64'), 'RET_14': Value('float64'), 'VOLUME_14': Value('float64'), 'RET_15': Value('float64'), 'VOLUME_15': Value('float64'), 'RET_16': Value('float64'), 'VOLUME_16': Value('float64'), 'RET_17': Value('float64'), 'VOLUME_17': Value('float64'), 'RET_18': Value('float64'), 'VOLUME_18': Value('float64'), 'RET_19': Value('float64'), 'VOLUME_19': Value('float64'), 'RET_20': Value('float64'), 'VOLUME_20': Value('float64')}
              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 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 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, 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 1 new columns ({'RET'}) and 46 missing columns ({'DATE', 'RET_2', 'RET_5', 'VOLUME_15', 'RET_19', 'RET_10', 'RET_13', 'INDUSTRY', 'VOLUME_18', 'VOLUME_19', 'VOLUME_2', 'RET_3', 'RET_9', 'VOLUME_10', 'RET_16', 'RET_12', 'VOLUME_3', 'RET_18', 'VOLUME_6', 'VOLUME_17', 'RET_4', 'RET_6', 'VOLUME_20', 'INDUSTRY_GROUP', 'VOLUME_7', 'RET_1', 'RET_7', 'VOLUME_11', 'RET_8', 'VOLUME_8', 'VOLUME_9', 'RET_17', 'SUB_INDUSTRY', 'STOCK', 'VOLUME_13', 'SECTOR', 'RET_14', 'VOLUME_1', 'RET_20', 'RET_15', 'VOLUME_4', 'VOLUME_5', 'VOLUME_16', 'VOLUME_12', 'VOLUME_14', 'RET_11'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/trngtina/challenge_data_ens_23/y_train_JQU4vbI.csv (at revision 6dd849d7276c34e598f0d7cdfb77ee2c1484324a), [/tmp/hf-datasets-cache/medium/datasets/31596933226012-config-parquet-and-info-trngtina-challenge_data_e-72a75926/hub/datasets--trngtina--challenge_data_ens_23/snapshots/6dd849d7276c34e598f0d7cdfb77ee2c1484324a/x_train_Lafd4AH.csv (origin=hf://datasets/trngtina/challenge_data_ens_23@6dd849d7276c34e598f0d7cdfb77ee2c1484324a/x_train_Lafd4AH.csv), /tmp/hf-datasets-cache/medium/datasets/31596933226012-config-parquet-and-info-trngtina-challenge_data_e-72a75926/hub/datasets--trngtina--challenge_data_ens_23/snapshots/6dd849d7276c34e598f0d7cdfb77ee2c1484324a/y_train_JQU4vbI.csv (origin=hf://datasets/trngtina/challenge_data_ens_23@6dd849d7276c34e598f0d7cdfb77ee2c1484324a/y_train_JQU4vbI.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)