Datasets:

---

webxos

/

BCI-FPS

like 1

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 5 new columns ({'research_applications', 'data_schema', 'session_info', 'dataset_info', 'huggingface'}) and 10 missing columns ({'environment', 'session_time', 'keyboard', 'timestamp', 'camera', 'mouse', 'type', 'button', 'target', 'neural_context'}).

This happened while the json dataset builder was generating data using

hf://datasets/webxos/BCI-FPS/metadata.json (at revision dedf6e6906235d4d1f7f2e44f09a1b11b0f1fc88)

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
              dataset_info: struct<name: string, description: string, version: string, license: string, citation: string>
                child 0, name: string
                child 1, description: string
                child 2, version: string
                child 3, license: string
                child 4, citation: string
              session_info: struct<session_id: string, mode: string, start_time: string, duration_ms: int64, sampling_rate_hz: i (... 29 chars omitted)
                child 0, session_id: string
                child 1, mode: string
                child 2, start_time: string
                child 3, duration_ms: int64
                child 4, sampling_rate_hz: int64
                child 5, neural_channels: int64
              data_schema: struct<neural_data: struct<timestamp: string, session_time: string, channels: string, intent_context (... 184 chars omitted)
                child 0, neural_data: struct<timestamp: string, session_time: string, channels: string, intent_context: string>
                    child 0, timestamp: string
                    child 1, session_time: string
                    child 2, channels: string
                    child 3, intent_context: string
                child 1, intent_stream: struct<timestamp: string, mouse: string, keyboard: string, camera: string, environment: string>
                    child 0, timestamp: string
                    child 1, mouse: string
                    child 2, keyboard: string
                    child 3, camera: string
                    child 4, environment: string
                child 2, handwriting_samples: struct<letter: string, samples: string>
                    child 0, letter: string
                    child 1, samples: string
              research_applications: list<item: string>
                child 0, item: string
              huggingface: struct<compatible: bool, task_categories: list<item: string>, task_ids: list<item: string>, language (... 58 chars omitted)
                child 0, compatible: bool
                child 1, task_categories: list<item: string>
                    child 0, item: string
                child 2, task_ids: list<item: string>
                    child 0, item: string
                child 3, language: list<item: string>
                    child 0, item: string
                child 4, size_categories: list<item: string>
                    child 0, item: string
              to
              {'timestamp': Value('int64'), 'session_time': Value('int64'), 'mouse': {'position': List(Value('float64')), 'delta': List(Value('int64')), 'buttons': Value('int64')}, 'keyboard': {'mouse': Value('bool')}, 'camera': {'position': List(Value('float64')), 'rotation': List(Value('float64'))}, 'environment': {'active_targets': List({'position': List(Value('float64')), 'distance': Value('float64')}), 'fps': Value('int64')}, 'type': Value('string'), 'button': Value('string'), 'target': Value('null'), 'neural_context': {'channel_0': Value('float64'), 'channel_1': Value('float64'), 'channel_2': Value('float64'), 'channel_3': Value('float64'), 'channel_4': Value('float64'), 'channel_5': Value('float64'), 'channel_6': Value('float64'), 'channel_7': Value('float64'), 'channel_8': Value('float64'), 'channel_9': Value('float64'), 'channel_10': Value('float64'), 'channel_11': Value('float64'), 'channel_12': Value('float64'), 'channel_13': Value('float64'), 'channel_14': Value('float64'), 'channel_15': Value('float64'), 'channel_16': Value('float64'), 'channel_17': Value('float64'), 'channel_18': Value('float64'), 'channel_19': Value('float64'), 'channel_20': Value('float64'), 'channel_21': Value('float64'), 'channel_22': Value('float64'), 'channel_23': Value('float64'), 'channel_24': Value('float64'), 'channel_25': Value('float64'), 'channel_26': Value('float64'), 'channel_27': Value('float64'), 'channel_28': Value('float64'), 'channel_29': Value('float64'), 'channel_30': Value('float64'), 'channel_31': 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 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 5 new columns ({'research_applications', 'data_schema', 'session_info', 'dataset_info', 'huggingface'}) and 10 missing columns ({'environment', 'session_time', 'keyboard', 'timestamp', 'camera', 'mouse', 'type', 'button', 'target', 'neural_context'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/webxos/BCI-FPS/metadata.json (at revision dedf6e6906235d4d1f7f2e44f09a1b11b0f1fc88)
              
              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)