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The dataset generation failed because of a cast error
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 41 new columns ({'C4_theta', 'PO4_gamma', 'C3_beta', 'PO3_beta', 'unixTimestamp', 'C3_theta', 'CP3_delta', 'PO3_delta', 'F5_theta', 'C4_alpha', 'CP4_delta', 'CP3_beta', 'F5_delta', 'CP4_beta', 'C3_alpha', 'F5_gamma', 'F6_theta', 'CP3_theta', 'F6_alpha', 'F6_delta', 'PO4_theta', 'F6_beta', 'PO4_delta', 'CP3_alpha', 'PO4_alpha', 'PO3_theta', 'F5_beta', 'PO4_beta', 'C4_delta', 'PO3_alpha', 'PO3_gamma', 'CP4_alpha', 'C4_beta', 'F5_alpha', 'C3_gamma', 'C4_gamma', 'C3_delta', 'CP4_gamma', 'CP4_theta', 'F6_gamma', 'CP3_gamma'}) and 4 missing columns ({'probability', 'metric', 'timestamp', 'label'}).

This happened while the json dataset builder was generating data using

hf://datasets/neurofusion/eeg-restingstate/powerByBand/powerByBand_1674239692.json (at revision fe43ac768e0e0df525c5925edb9c27c186730b3b)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              C4_theta: double
              PO4_gamma: double
              C3_beta: double
              PO3_beta: double
              unixTimestamp: int64
              C3_theta: double
              CP3_delta: double
              PO3_delta: double
              F5_theta: double
              C4_alpha: double
              CP4_delta: double
              CP3_beta: double
              F5_delta: double
              CP4_beta: double
              C3_alpha: double
              F5_gamma: double
              F6_theta: double
              CP3_theta: double
              F6_alpha: double
              F6_delta: double
              PO4_theta: double
              F6_beta: double
              PO4_delta: double
              CP3_alpha: double
              PO4_alpha: double
              PO3_theta: double
              F5_beta: double
              PO4_beta: double
              C4_delta: double
              PO3_alpha: double
              PO3_gamma: double
              CP4_alpha: double
              C4_beta: double
              F5_alpha: double
              C3_gamma: double
              C4_gamma: double
              C3_delta: double
              CP4_gamma: double
              CP4_theta: double
              F6_gamma: double
              CP3_gamma: double
              to
              {'probability': Value(dtype='float64', id=None), 'metric': Value(dtype='string', id=None), 'timestamp': Value(dtype='int64', id=None), 'label': Value(dtype='string', id=None)}
              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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2013, 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 41 new columns ({'C4_theta', 'PO4_gamma', 'C3_beta', 'PO3_beta', 'unixTimestamp', 'C3_theta', 'CP3_delta', 'PO3_delta', 'F5_theta', 'C4_alpha', 'CP4_delta', 'CP3_beta', 'F5_delta', 'CP4_beta', 'C3_alpha', 'F5_gamma', 'F6_theta', 'CP3_theta', 'F6_alpha', 'F6_delta', 'PO4_theta', 'F6_beta', 'PO4_delta', 'CP3_alpha', 'PO4_alpha', 'PO3_theta', 'F5_beta', 'PO4_beta', 'C4_delta', 'PO3_alpha', 'PO3_gamma', 'CP4_alpha', 'C4_beta', 'F5_alpha', 'C3_gamma', 'C4_gamma', 'C3_delta', 'CP4_gamma', 'CP4_theta', 'F6_gamma', 'CP3_gamma'}) and 4 missing columns ({'probability', 'metric', 'timestamp', 'label'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/neurofusion/eeg-restingstate/powerByBand/powerByBand_1674239692.json (at revision fe43ac768e0e0df525c5925edb9c27c186730b3b)
              
              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)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

label
string
probability
float64
metric
string
timestamp
int64
calm
0
awareness
1,674,239,693,637
calm
0.404587
awareness
1,674,239,694,661
calm
0.29577
awareness
1,674,239,695,584
calm
0.390013
awareness
1,674,239,696,595
calm
0.485215
awareness
1,674,239,697,604
calm
0.413993
awareness
1,674,239,698,556
calm
0.442671
awareness
1,674,239,699,570
calm
0.517863
awareness
1,674,239,700,527
calm
0.447058
awareness
1,674,239,701,540
calm
0.363756
awareness
1,674,239,702,538
calm
0.228377
awareness
1,674,239,703,493
calm
0.341945
awareness
1,674,239,704,507
calm
0.22308
awareness
1,674,239,705,522
calm
0.400915
awareness
1,674,239,706,472
calm
0.325928
awareness
1,674,239,707,483
calm
0.375462
awareness
1,674,239,708,433
calm
0.468606
awareness
1,674,239,709,423
calm
0.295117
awareness
1,674,239,710,414
calm
0.508581
awareness
1,674,239,711,359
calm
0.297646
awareness
1,674,239,712,354
calm
0.403515
awareness
1,674,239,713,359
calm
0.320194
awareness
1,674,239,714,300
calm
0.398612
awareness
1,674,239,715,294
calm
0.54159
awareness
1,674,239,716,246
calm
0.4431
awareness
1,674,239,717,225
calm
0.547082
awareness
1,674,239,718,224
calm
0.318715
awareness
1,674,239,719,164
calm
0.328372
awareness
1,674,239,720,159
calm
0.460636
awareness
1,674,239,721,225
calm
0.373102
awareness
1,674,239,722,105
calm
0.423295
awareness
1,674,239,723,100
calm
0.290445
awareness
1,674,239,724,044
calm
0.436067
awareness
1,674,239,725,067
calm
0.447903
awareness
1,674,239,726,035
calm
0.377285
awareness
1,674,239,726,975
calm
0.420015
awareness
1,674,239,727,971
calm
0.282038
awareness
1,674,239,728,973
calm
0.424001
awareness
1,674,239,729,966
calm
0.410142
awareness
1,674,239,730,912
calm
0.497995
awareness
1,674,239,731,856
calm
0.374666
awareness
1,674,239,732,853
calm
0.391419
awareness
1,674,239,733,842
calm
0.378545
awareness
1,674,239,734,781
calm
0.398627
awareness
1,674,239,735,783
calm
0.303786
awareness
1,674,239,736,784
calm
0.438052
awareness
1,674,239,737,732
calm
0.287613
awareness
1,674,239,738,719
calm
0.425128
awareness
1,674,239,739,673
calm
0.408639
awareness
1,674,239,740,656
calm
0.410833
awareness
1,674,239,741,658
calm
0.32059
awareness
1,674,239,742,594
calm
0.448077
awareness
1,674,239,743,592
calm
0.494612
awareness
1,674,239,744,590
calm
0.508587
awareness
1,674,239,745,540
calm
0.318023
awareness
1,674,239,746,554
calm
0.413126
awareness
1,674,239,747,478
calm
0.401085
awareness
1,674,239,748,472
calm
0.488698
awareness
1,674,239,749,471
calm
0.432377
awareness
1,674,239,750,416
calm
0.334996
awareness
1,674,239,751,403
calm
0.488831
awareness
1,674,239,752,406
calm
0.420438
awareness
1,674,239,753,345
calm
0.327803
awareness
1,674,239,754,352
calm
0.28795
awareness
1,674,239,755,303
calm
0.447157
awareness
1,674,239,756,294
calm
0.467223
awareness
1,674,239,757,286
calm
0.452704
awareness
1,674,239,758,221
calm
0.269324
awareness
1,674,239,759,229
calm
0.311965
awareness
1,674,239,760,228
calm
0.398439
awareness
1,674,239,761,166
calm
0.46737
awareness
1,674,239,762,174
calm
0.346786
awareness
1,674,239,763,116
calm
0.44862
awareness
1,674,239,764,095
calm
0.376516
awareness
1,674,239,765,108
calm
0.320015
awareness
1,674,239,766,047
calm
0.420091
awareness
1,674,239,767,052
calm
0.433196
awareness
1,674,239,768,035
calm
0.343976
awareness
1,674,239,768,977
calm
0.410814
awareness
1,674,239,769,971
calm
0.301924
awareness
1,674,239,770,919
calm
0.420868
awareness
1,674,239,771,909
calm
0.401721
awareness
1,674,239,772,909
calm
0.308095
awareness
1,674,239,773,846
calm
0.411579
awareness
1,674,239,774,848
calm
0.42613
awareness
1,674,239,775,853
calm
0.404882
awareness
1,674,239,776,790
calm
0.391523
awareness
1,674,239,777,777
calm
0.407025
awareness
1,674,239,778,729
calm
0.551351
awareness
1,674,239,779,718
calm
0.434852
awareness
1,674,239,780,722
calm
0.51554
awareness
1,674,239,781,725
calm
0.481248
awareness
1,674,239,782,663
calm
0.558905
awareness
1,674,239,783,665
calm
0.401132
awareness
1,674,239,784,592
calm
0.421062
awareness
1,674,239,785,596
calm
0.437092
awareness
1,674,239,786,536
calm
0.436831
awareness
1,674,239,787,534
calm
0.524974
awareness
1,674,239,788,534
calm
0.434957
awareness
1,674,239,789,468
calm
0.443377
awareness
1,674,239,790,479
End of preview.

Dataset Card for Dataset Name

Dataset Summary

This is a dataset of EEG data & derived metrics recorded on the Fusion platform from a single particpant through the course of a week.

Task: Eyes closed for 10mins at least twice a day. Participant also gave a short summary at the start of every recording in events.csv

Device: Neurosity Crown - 8 channels [CP3, C3, F5, PO3, PO4, F6, C4, CP4]

Dataset Structure

Data Instances

All dataset are timeseries with a unixTimestamp column. Generated by using the Neurosity brainwaves api

  • rawBrainwaves: voltage readings across eeg channels
  • signalQuality: standard deviation values & label (great, good, poor, noContact) per channel
  • powerByBand: computed eeg power per channel (i.e CP3_delta, CP3_theta, CP3_alpha, CP3_beta, CP3_gamma)
  • focus: prediction of user focus based on gamma waves.
  • calm: prediction of user calm based on alpha waves.

Data Splits

Each dataset is suffixed with *_unixTimestamp which represents the time of recording.

Additional Information

Dataset Curators

NEUROFUSION Research Inc.

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