Datasets:

---

rishab-iyer1

/

glmsingle

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 9 new columns ({'loop_runs.thisTrialN', 'loop_runs.thisRepN', 'loop_runs.thisN', 'session (1 2 or 3)', 'Unnamed: 101', 'skip_practice', 'loop_runs.thisIndex', 'sess_num', 'is_not_last_trial'}) and 18 missing columns ({'polygon_4.started', 'blank_trial_testing_keys.started', 'polygon_2.started', 'polygon_4.stopped', 'set_skips_and_correct_key_2.stopped', 'all_keys_pressed_2.stopped', 'blank_trial.stopped', 'blank_trial_2.started', 'Unnamed: 104', 'blank_trial_testing_keys.keys', 'session', 'set_skips_and_correct_key_2.started', 'polygon_2.stopped', 'blank_trial_testing_keys.stopped', 'blank_trial.started', 'polygon_3.stopped', 'blank_trial_2.stopped', 'Unnamed: 110'}).

This happened while the csv dataset builder was generating data using

hf://datasets/rishab-iyer1/glmsingle/csv/sub-001_ses-02.csv (at revision b82a53b8168ec0b1e1b807b9f25cffeee3679f3c)

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
              current_image: string
              trial_index: double
              is_blank_trial: double
              is_repeat: double
              is_new_run: double
              run_num: double
              sess_num: double
              is_not_last_trial: double
              all_blanks_list: string
              practice.thisRepN: double
              practice.thisTrialN: double
              practice.thisN: double
              practice.thisIndex: double
              loop_runs.thisRepN: double
              loop_runs.thisTrialN: double
              loop_runs.thisN: double
              loop_runs.thisIndex: double
              loop_all_images.thisRepN: double
              loop_all_images.thisTrialN: double
              loop_all_images.thisN: double
              loop_all_images.thisIndex: double
              thisRow.t: double
              notes: double
              set_up.started: double
              set_up.stopped: double
              practice_continue.started: double
              key_resp_6.started: double
              text_6.started: double
              practice_continue.stopped: double
              key_resp_6.keys: double
              key_resp_6.rt: double
              key_resp_6.duration: double
              practice_trial.started: double
              image_2.started: double
              press_if_repeat_2.started: double
              polygon_3.started: double
              all_keys_pressed_2.started: double
              image_2.stopped: double
              press_if_repeat_2.stopped: double
              practice_trial.stopped: double
              press_if_repeat_2.keys: double
              press_if_repeat_2.corr: double
              press_if_repeat_2.rt: double
              press_if_repeat_2.duration: double
              all_keys_pressed_2.keys: double
              testing_continue.started: double
              key_resp_7.started: double
              text_7.started: double
              testing_continue.stopped: double
              key_resp_7.keys: double
              key_resp_7.rt: double
              key_resp_7.duration: double
              waiting_fmri.started: double
              key_resp_2.started: double
              text_3.started: double
              waiting_fmri.stopped: double
              key_resp_2.keys: string
              key_resp_2.rt: double
              key_resp_2.duration: double
              set_skips_and_correct_key.started: double
              set_skips_and_correct_key.stopped: double
              trial.started: double
              image.started: double
              press_if_repeat.started: double
              polygon.started: double
              all_keys_pressed.started: double
              image.stopped: double
              press_if_repeat.stopped: double
              trial.stopped: double
              press_if_repeat.keys: double
              press_if_repeat.corr: double
              press_if_repeat.rt: double
              press_if_repeat.duration: double
              all_keys_pressed.keys: string
              run_wait2_2.started: double
              run_wait2_2.stopped: double
              key_resp_5.keys: double
              waiting_fmri_2.started: double
              waiting_fmri_2.stopped: double
              key_resp_4.keys: string
              polygon.stopped: double
              all_keys_pressed.stopped: double
              key_resp_5.started: double
              text_5.started: double
              key_resp_5.rt: double
              key_resp_5.duration: double
              key_resp_4.started: double
              text_4.started: double
              key_resp_4.rt: double
              key_resp_4.duration: double
              all_keys_pressed.rt: string
              all_keys_pressed.duration: string
              participant: int64
              session (1 2 or 3): int64
              starting_run: int64
              skip_practice: int64
              date: string
              expName: string
              psychopyVersion: string
              frameRate: double
              expStart: string
              Unnamed: 101: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 14087
              to
              {'current_image': Value('string'), 'trial_index': Value('float64'), 'is_blank_trial': Value('float64'), 'is_repeat': Value('float64'), 'is_new_run': Value('float64'), 'run_num': Value('float64'), 'all_blanks_list': Value('string'), 'practice.thisRepN': Value('float64'), 'practice.thisTrialN': Value('float64'), 'practice.thisN': Value('float64'), 'practice.thisIndex': Value('float64'), 'loop_all_images.thisRepN': Value('float64'), 'loop_all_images.thisTrialN': Value('float64'), 'loop_all_images.thisN': Value('float64'), 'loop_all_images.thisIndex': Value('float64'), 'thisRow.t': Value('float64'), 'notes': Value('float64'), 'set_up.started': Value('float64'), 'set_up.stopped': Value('float64'), 'practice_continue.started': Value('float64'), 'key_resp_6.started': Value('float64'), 'text_6.started': Value('float64'), 'practice_continue.stopped': Value('float64'), 'key_resp_6.keys': Value('float64'), 'key_resp_6.rt': Value('float64'), 'key_resp_6.duration': Value('float64'), 'set_skips_and_correct_key_2.started': Value('float64'), 'set_skips_and_correct_key_2.stopped': Value('float64'), 'practice_trial.started': Value('float64'), 'polygon_3.started': Value('float64'), 'all_keys_pressed_2.started': Value('float64'), 'image_2.started': Value('float64'), 'press_if_repeat_2.started': Value('float64'), 'image_2.stopped': Value('float64'), 'press_if_repeat_2.stopped': Value('float64'), 'polygon_3.stopped': Value('float64'), 'all_keys_pressed_2.stopped': Value('float64'), 'practice_trial
              ...
              l.stopped': Value('float64'), 'press_if_repeat.keys': Value('float64'), 'press_if_repeat.corr': Value('float64'), 'press_if_repeat.rt': Value('float64'), 'press_if_repeat.duration': Value('float64'), 'all_keys_pressed.keys': Value('string'), 'blank_trial.started': Value('float64'), 'blank_trial.stopped': Value('float64'), 'blank_trial_testing_keys.keys': Value('float64'), 'run_wait2_2.started': Value('float64'), 'run_wait2_2.stopped': Value('float64'), 'key_resp_5.keys': Value('float64'), 'waiting_fmri_2.started': Value('float64'), 'waiting_fmri_2.stopped': Value('float64'), 'key_resp_4.keys': Value('string'), 'all_keys_pressed.rt': Value('string'), 'all_keys_pressed.duration': Value('string'), 'blank_trial_testing_keys.started': Value('float64'), 'polygon_2.started': Value('float64'), 'blank_trial_testing_keys.stopped': Value('float64'), 'polygon_2.stopped': Value('float64'), 'key_resp_5.started': Value('float64'), 'text_5.started': Value('float64'), 'key_resp_5.rt': Value('float64'), 'key_resp_5.duration': Value('float64'), 'key_resp_4.started': Value('float64'), 'text_4.started': Value('float64'), 'key_resp_4.rt': Value('float64'), 'key_resp_4.duration': Value('float64'), 'participant': Value('int64'), 'session': Value('int64'), 'starting_run': Value('int64'), 'Unnamed: 104': Value('float64'), 'date': Value('string'), 'expName': Value('string'), 'psychopyVersion': Value('string'), 'frameRate': Value('float64'), 'expStart': Value('string'), 'Unnamed: 110': 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 1334, 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 911, in stream_convert_to_parquet
                  builder._prepare_split(
                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 9 new columns ({'loop_runs.thisTrialN', 'loop_runs.thisRepN', 'loop_runs.thisN', 'session (1 2 or 3)', 'Unnamed: 101', 'skip_practice', 'loop_runs.thisIndex', 'sess_num', 'is_not_last_trial'}) and 18 missing columns ({'polygon_4.started', 'blank_trial_testing_keys.started', 'polygon_2.started', 'polygon_4.stopped', 'set_skips_and_correct_key_2.stopped', 'all_keys_pressed_2.stopped', 'blank_trial.stopped', 'blank_trial_2.started', 'Unnamed: 104', 'blank_trial_testing_keys.keys', 'session', 'set_skips_and_correct_key_2.started', 'polygon_2.stopped', 'blank_trial_testing_keys.stopped', 'blank_trial.started', 'polygon_3.stopped', 'blank_trial_2.stopped', 'Unnamed: 110'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/rishab-iyer1/glmsingle/csv/sub-001_ses-02.csv (at revision b82a53b8168ec0b1e1b807b9f25cffeee3679f3c)
              
              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)