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tongji-voltage-relaxation-2022-raw

Tags:
bsebench
lithium-ion-battery
battery-cycling
voltage-relaxation
raw-mirror
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ParserError
Message:      Error tokenizing data. C error: Expected 3 fields in line 7, saw 4

Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/csv/csv.py", line 198, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                         ^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Expected 3 fields in line 7, saw 4
              
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                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 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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time/s
float64
control/V/mA
float64
Ecell/V
float64
<I>/mA
float64
Q discharge/mA.h
float64
Q charge/mA.h
float64
control/V
float64
control/mA
float64
cycle number
float64
0
875
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874.760337
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End of preview.

Data-driven capacity estimation from voltage relaxation

BSEBench status: raw_mirror_pending_validation

This dataset repository is a private raw mirror of the Zenodo record for "Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation". The payload files are the original ZIP archives from Zenodo, preserved without extraction or content transformation under source/.

Source

  • Source: Zenodo
  • Source URL: https://doi.org/10.5281/zenodo.6405084
  • Zenodo record: https://zenodo.org/records/6405084
  • DOI: 10.5281/zenodo.6405084
  • License: CC BY 4.0 (cc-by-4.0)
  • Publication date: 2022-04-01
  • Download date: 2026-05-08
  • Credited institutions include Tongji University, Karlsruhe Institute of Technology, University of British Columbia, and Technische Universitaet Muenchen.

Citation

Please cite the original Zenodo record and associated publication when using these files:

Zhu, Jiangong, Wang, Yixiu, Huang, Yuan, Gopaluni, R. Bhushan, Cao, Yankai, Heere, Michael, Muehlbauer, Martin J., Mereacre, Liuda, Dai, Haifeng, Liu, Xinhua, Senyshyn, Anatoliy, Wei, Xuezhe, Knapp, Michael, & Ehrenberg, Helmut. Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation. Zenodo. https://doi.org/10.5281/zenodo.6405084

Files

Path Bytes SHA-256
source/Dataset_2_NCM_battery.zip 737047539 942e1dc6cdaf900be350dd36dcb2b310cc49872775f1650e7b3306667e439d0f
source/Dataset_1_NCA_battery.zip 579629324 0d58f6f09f4ada76c2c3ab038ce98926ebdba7d18aaa31a9d7bebdccc9a834ac
source/Dataset_3_NCM_NCA_battery.zip 356066478 a82e33ada100f91ab6cf99a654bb9f0572ce48ee7edbc5dad9d0665e7eccfe3a
source/Impedance raw data and fitting data.zip 1349129 f0be0e3f4ef7478da13ca0c978aa1716c00f36e19e9cf29e077a3414053eee00

Provenance and Integrity

BSEBENCH_SOURCE.json contains machine-readable provenance, source URLs, source checksums, local SHA-256 checksums, and verification status. SHA256SUMS.txt contains checksums for the uploaded repository files excluding itself and local validation outputs.

No benchmark validation, normalization, or leaderboard evaluation has been performed in this raw mirror.
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