Datasets:

---

ntphuc149

/

MIMIC-III-Clinical-Database

like 2

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 21 new columns ({'REQUEST_TELE', 'CALLOUT_WARDID', 'OUTCOMETIME', 'SUBMIT_CAREUNIT', 'UPDATETIME', 'CALLOUT_OUTCOME', 'CURRENTRESERVATIONTIME', 'SUBMIT_WARDID', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_SERVICE', 'REQUEST_CDIFF', 'REQUEST_RESP', 'REQUEST_MRSA', 'FIRSTRESERVATIONTIME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'ACKNOWLEDGETIME', 'CREATETIME', 'CALLOUT_STATUS', 'REQUEST_VRE'}) and 16 missing columns ({'ADMITTIME', 'ADMISSION_LOCATION', 'DISCHTIME', 'LANGUAGE', 'ADMISSION_TYPE', 'MARITAL_STATUS', 'ETHNICITY', 'RELIGION', 'EDREGTIME', 'DEATHTIME', 'INSURANCE', 'HAS_CHARTEVENTS_DATA', 'DIAGNOSIS', 'EDOUTTIME', 'HOSPITAL_EXPIRE_FLAG', 'DISCHARGE_LOCATION'}).

This happened while the csv dataset builder was generating data using

hf://datasets/ntphuc149/MIMIC-III-Clinical-Database/CALLOUT.csv (at revision 1607773983eff4d27b4f97749ace00a67962c231)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              ROW_ID: int64
              SUBJECT_ID: int64
              HADM_ID: int64
              SUBMIT_WARDID: int64
              SUBMIT_CAREUNIT: string
              CURR_WARDID: int64
              CURR_CAREUNIT: string
              CALLOUT_WARDID: int64
              CALLOUT_SERVICE: string
              REQUEST_TELE: int64
              REQUEST_RESP: int64
              REQUEST_CDIFF: int64
              REQUEST_MRSA: int64
              REQUEST_VRE: int64
              CALLOUT_STATUS: string
              CALLOUT_OUTCOME: string
              DISCHARGE_WARDID: double
              ACKNOWLEDGE_STATUS: string
              CREATETIME: string
              UPDATETIME: string
              ACKNOWLEDGETIME: string
              OUTCOMETIME: string
              FIRSTRESERVATIONTIME: string
              CURRENTRESERVATIONTIME: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3261
              to
              {'ROW_ID': Value('int64'), 'SUBJECT_ID': Value('int64'), 'HADM_ID': Value('int64'), 'ADMITTIME': Value('string'), 'DISCHTIME': Value('string'), 'DEATHTIME': Value('string'), 'ADMISSION_TYPE': Value('string'), 'ADMISSION_LOCATION': Value('string'), 'DISCHARGE_LOCATION': Value('string'), 'INSURANCE': Value('string'), 'LANGUAGE': Value('string'), 'RELIGION': Value('string'), 'MARITAL_STATUS': Value('string'), 'ETHNICITY': Value('string'), 'EDREGTIME': Value('string'), 'EDOUTTIME': Value('string'), 'DIAGNOSIS': Value('string'), 'HOSPITAL_EXPIRE_FLAG': Value('int64'), 'HAS_CHARTEVENTS_DATA': Value('int64')}
              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 1451, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, 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 1833, 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 21 new columns ({'REQUEST_TELE', 'CALLOUT_WARDID', 'OUTCOMETIME', 'SUBMIT_CAREUNIT', 'UPDATETIME', 'CALLOUT_OUTCOME', 'CURRENTRESERVATIONTIME', 'SUBMIT_WARDID', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_SERVICE', 'REQUEST_CDIFF', 'REQUEST_RESP', 'REQUEST_MRSA', 'FIRSTRESERVATIONTIME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'ACKNOWLEDGETIME', 'CREATETIME', 'CALLOUT_STATUS', 'REQUEST_VRE'}) and 16 missing columns ({'ADMITTIME', 'ADMISSION_LOCATION', 'DISCHTIME', 'LANGUAGE', 'ADMISSION_TYPE', 'MARITAL_STATUS', 'ETHNICITY', 'RELIGION', 'EDREGTIME', 'DEATHTIME', 'INSURANCE', 'HAS_CHARTEVENTS_DATA', 'DIAGNOSIS', 'EDOUTTIME', 'HOSPITAL_EXPIRE_FLAG', 'DISCHARGE_LOCATION'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ntphuc149/MIMIC-III-Clinical-Database/CALLOUT.csv (at revision 1607773983eff4d27b4f97749ace00a67962c231)
              
              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)