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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 1 new columns ({';Ecell/V;time/s;Q charge/mA.h;Q discharge/mA.h;Capacity/mA.h;Ns changes;mode;cycle number;error;dq/mA.h;I/mA;counter inc.;R/Ohm;Energy charge/W.h;Energy discharge/W.h;Ns;Unnamed: 16;Unnamed: 17;Unnamed: 18;Unnamed: 19;Unnamed: 20'}) and 22 missing columns ({'Energy discharge/W.h', 'Unnamed: 18', 'Ns', 'Q charge/mA.h', 'Q discharge/mA.h', 'cycle number', 'dq/mA.h', 'R/Ohm', 'Ns changes', 'Ecell/V', 'Energy charge/W.h', 'Unnamed: 19', 'counter inc.', 'I/mA', 'Unnamed: 0', 'error', 'Unnamed: 20', 'Unnamed: 17', 'Unnamed: 16', 'time/s', 'mode', 'Capacity/mA.h'}).

This happened while the csv dataset builder was generating data using

zip://Dataset_Molicell_P42A/phase_2/CDT/25degC/20240124_A11_CDT.csv::hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A.zip, ['hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A.zip', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A10_Cby3_Pulse_D2_CD2.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A11_Cby3_Pulse_D3_CD3.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A12_Cby3_Pulse_D4_CD4.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A13_Cby3_Pulse_D5_CD5.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A14_Cby3_Pulse_D6_CD6.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A15_Cby3_Pulse_D7_CD7.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A16_Cby3_Pulse_D8_CD8.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A17_Cby3_Pulse_E1_CE1.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A18_Cby3_Pulse_E2_CE2.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A19_Cby3_Pulse_E3_CE3.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A1_Cby3_Pulse_C1_CC1.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A20_Cby3_Pulse_E4_CE4.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A21_Cby3_Pulse_E5_CE5.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A22_Cby3_Pulse_E6_CE6.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A23_Cby3_Pulse_E7_CE7.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A24_Cby3_Pulse_E8_CE8.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A2_Cby3_Pulse_C2_CC2.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A3_Cby3_Pulse_C3_CC3.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A4_Cby3_Pulse_C4_CC4.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A5_Cby3_Pulse_C5_CC5.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A6_Cby3_Pulse_C6_CC6.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A7_Cby3_Pulse_C7_CC7.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A8_Cby3_Pulse_C8_CC8.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A9_Cby3_Pulse_D1_CD1.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A25_Cby3_Pulse_C1_CC1.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A26_Cby3_Pulse_C2_CC2.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A27_Cby3_Pulse_C3_CC3.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A28_Cby3_Pulse_C4_CC4.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A29_Cby3_Pulse_C5_CC5.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A30_Cby3_Pulse_C6_CC6.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A31_Cby3_Pulse_C7_CC7.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A32_Cby3_Pulse_C8_CC8.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A33_Cby3_Pulse_D1_CD1.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A34_Cby3_Pulse_D2_CD2.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A35_Cby3_Pulse_D3_CD3.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A36_Cby3_Pulse_D4_CD4.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A37_Cby3_Pulse_D5_CD5.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A38_Cby3_Pulse_D6_CD6.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A39_Cby3_Pulse_D7_CD7.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A40_Cby3_Pulse_D8_CD8.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A41_Cby3_Pulse_E1_CE1.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A42_Cby3_Pulse_E2_CE2.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231213_A43_Cby3_Pulse_E3_CE3.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231219_A44_Cby3_Pulse_C1_CC1.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231219_A45_Cby3_Pulse_C2_CC2.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_2/CDT/25degC/20240124_A11_CDT.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_2/CDT/25degC/20240124_A13_CDT.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_2/CDT/25degC/20240124_A2_CDT.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_2/CDT/25degC/20240124_A4_CDT.csv']

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 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              ;Ecell/V;time/s;Q charge/mA.h;Q discharge/mA.h;Capacity/mA.h;Ns changes;mode;cycle number;error;dq/m (... 129 chars omitted): string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 821
              to
              {'Unnamed: 0': Value('int64'), 'Ecell/V': Value('float64'), 'time/s': Value('float64'), 'Q charge/mA.h': Value('float64'), 'Q discharge/mA.h': Value('float64'), 'Capacity/mA.h': Value('float64'), 'Ns changes': Value('int64'), 'mode': Value('int64'), 'cycle number': Value('float64'), 'error': Value('int64'), 'dq/mA.h': Value('float64'), 'I/mA': Value('float64'), 'counter inc.': Value('int64'), 'R/Ohm': Value('float64'), 'Energy charge/W.h': Value('float64'), 'Energy discharge/W.h': Value('float64'), 'Ns': Value('int64'), 'Unnamed: 16': Value('int64'), 'Unnamed: 17': Value('int64'), 'Unnamed: 18': Value('int64'), 'Unnamed: 19': Value('int64'), 'Unnamed: 20': 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 1342, 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 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 1 new columns ({';Ecell/V;time/s;Q charge/mA.h;Q discharge/mA.h;Capacity/mA.h;Ns changes;mode;cycle number;error;dq/mA.h;I/mA;counter inc.;R/Ohm;Energy charge/W.h;Energy discharge/W.h;Ns;Unnamed: 16;Unnamed: 17;Unnamed: 18;Unnamed: 19;Unnamed: 20'}) and 22 missing columns ({'Energy discharge/W.h', 'Unnamed: 18', 'Ns', 'Q charge/mA.h', 'Q discharge/mA.h', 'cycle number', 'dq/mA.h', 'R/Ohm', 'Ns changes', 'Ecell/V', 'Energy charge/W.h', 'Unnamed: 19', 'counter inc.', 'I/mA', 'Unnamed: 0', 'error', 'Unnamed: 20', 'Unnamed: 17', 'Unnamed: 16', 'time/s', 'mode', 'Capacity/mA.h'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://Dataset_Molicell_P42A/phase_2/CDT/25degC/20240124_A11_CDT.csv::hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A.zip, ['hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A.zip', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A10_Cby3_Pulse_D2_CD2.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A11_Cby3_Pulse_D3_CD3.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A12_Cby3_Pulse_D4_CD4.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A13_Cby3_Pulse_D5_CD5.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A14_Cby3_Pulse_D6_CD6.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A15_Cby3_Pulse_D7_CD7.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A16_Cby3_Pulse_D8_CD8.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A17_Cby3_Pulse_E1_CE1.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A18_Cby3_Pulse_E2_CE2.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A19_Cby3_Pulse_E3_CE3.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A1_Cby3_Pulse_C1_CC1.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A20_Cby3_Pulse_E4_CE4.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A21_Cby3_Pulse_E5_CE5.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A22_Cby3_Pulse_E6_CE6.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A23_Cby3_Pulse_E7_CE7.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A24_Cby3_Pulse_E8_CE8.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A2_Cby3_Pulse_C2_CC2.csv', 'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_1/20231212_A3_Cby3_Pulse_C3_CC3.csv', 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'hf://datasets/bsebench-org/mcmaster-highpower-stochastic-2025-raw@28db52375df799f49ca716999341548d5bbf7ba8/Dataset_Molicell_P42A/phase_2/CDT/25degC/20240124_A4_CDT.csv']
              
              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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End of preview.

High-power lithium-ion battery characterization dataset for stochastic battery modeling raw mirror

BSEBench status: raw_mirror_pending_validation

This repository is a raw mirror of the OSF dataset High-power lithium-ion battery characterization dataset for stochastic battery modeling for BSEBench ingestion and validation. It preserves the source archive and the expanded OSF file tree without content transformation.

Source

  • Source repository: https://doi.org/10.17605/OSF.IO/9CEAV
  • Source DOI: 10.17605/OSF.IO/9CEAV
  • OSF node: 9ceav
  • Associated article: High-power lithium-ion battery characterization dataset for stochastic battery modeling, Scientific Data, DOI 10.1038/s41597-025-05725-y
  • Source institutions noted for the task: McMaster University / Stanford University research collaboration

License

The OSF API reports the dataset license as CC-By Attribution 4.0 International (cc-by-4.0). Redistribution is performed on that basis with attribution to the source record and associated article.

Mirror Contents

  • Source files mirrored: 282
  • Source payload bytes: 5844201402
  • Original archive preserved: Dataset_Molicell_P42A.zip
  • Expanded source tree preserved under: Dataset_Molicell_P42A/
  • Download date: 2026-05-08

BSEBENCH_SOURCE.json contains machine-readable provenance, source file metadata, OSF URLs, byte counts, and SHA-256 hashes. SHA256SUMS.txt contains checksums for mirrored source files and BSEBench metadata files, excluding the checksum file itself.

No benchmark results, validation conclusions, performance claims, or leaderboard claims are made here.
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