Datasets:

---

Bowen999

/

lipids_ms2

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 3 new columns ({'category', 'Unnamed: 0.1', 'Unnamed: 0.2'}) and 4 missing columns ({'extra_4', 'extra_3', 'extra_2', 'extra_1'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Bowen999/lipids_ms2/test_dec.csv (at revision cf70d33c94c5bb672759e18aa70b832c825d0966)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
              Unnamed: 0.2: int64
              Unnamed: 0.1: int64
              Unnamed: 0: int64
              index: string
              name: string
              simple_name: string
              class: string
              chain: string
              num_chain: int64
              num_c: double
              num_db: double
              num_c_1: double
              num_db_1: double
              num_c_2: double
              num_db_2: double
              num_c_3: double
              num_db_3: double
              num_c_4: double
              num_db_4: double
              precursor_mz: double
              adduct: string
              ion_mode: string
              charge: double
              smiles: string
              inchi: string
              inchikey: string
              inchikey_main: string
              exact_mass: double
              formula: string
              synonyms: string
              retention_time: double
              num_peaks: int64
              lib_quality: double
              source: string
              spectrum_id: string
              ms_level: double
              instrument: string
              energy: double
              MS2: string
              ref: string
              MS2_norm: string
              category: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 5125
              to
              {'Unnamed: 0': Value('int64'), 'index': Value('string'), 'name': Value('string'), 'simple_name': Value('string'), 'class': Value('string'), 'chain': Value('string'), 'num_chain': Value('int64'), 'num_c': Value('float64'), 'num_db': Value('float64'), 'num_c_1': Value('float64'), 'num_db_1': Value('float64'), 'extra_1': Value('float64'), 'num_c_2': Value('float64'), 'num_db_2': Value('float64'), 'extra_2': Value('float64'), 'num_c_3': Value('float64'), 'num_db_3': Value('float64'), 'extra_3': Value('float64'), 'num_c_4': Value('float64'), 'num_db_4': Value('float64'), 'extra_4': Value('float64'), 'precursor_mz': Value('float64'), 'adduct': Value('string'), 'ion_mode': Value('string'), 'charge': Value('float64'), 'smiles': Value('string'), 'inchi': Value('string'), 'inchikey': Value('string'), 'inchikey_main': Value('string'), 'exact_mass': Value('float64'), 'formula': Value('string'), 'synonyms': Value('string'), 'retention_time': Value('float64'), 'num_peaks': Value('int64'), 'lib_quality': Value('float64'), 'source': Value('string'), 'spectrum_id': Value('string'), 'ms_level': Value('float64'), 'instrument': Value('string'), 'energy': Value('float64'), 'MS2': Value('string'), 'ref': Value('string'), 'MS2_norm': 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 1339, 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 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 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 3 new columns ({'category', 'Unnamed: 0.1', 'Unnamed: 0.2'}) and 4 missing columns ({'extra_4', 'extra_3', 'extra_2', 'extra_1'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Bowen999/lipids_ms2/test_dec.csv (at revision cf70d33c94c5bb672759e18aa70b832c825d0966)
              
              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)