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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)
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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
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