The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 280, in _generate_tables
df = pandas_read_json(f)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 34, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 791, in read_json
json_reader = JsonReader(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 905, in __init__
self.data = self._preprocess_data(data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 917, in _preprocess_data
data = data.read()
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
out = read(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "<frozen codecs>", line 322, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd0 in position 0: invalid continuation byte
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 283, in _generate_tables
raise e
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 246, in _generate_tables
pa_table = paj.read_json(
^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Long-term lithium-ion aging trajectories with capacity regeneration
This repository is a raw mirror for BSEBench staging and validation.
BSEBench Status
raw_mirror_pending_validation
Source
- Source: Mendeley Data
- Source URL: https://data.mendeley.com/datasets/56hdnvr7hs/3
- DOI: https://doi.org/10.17632/56hdnvr7hs.3
- Version: 3
- Published: 2023-07-19
- License: Creative Commons Attribution 4.0 International (CC BY 4.0)
- License URL: http://creativecommons.org/licenses/by/4.0
- Institutions: Xi'an Jiaotong University; Beijing Institute of Technology
Citation
Huang, Yaodi; Zhang, Pengcheng; Lu, Jiahuan; Xiong, Rui; Cai, Zhongmin (2023), "A Transferable Long-term Lithium-ion Battery Aging Trajectory Prediction Model Considering Internal Resistance and Capacity Regeneration Phenomenon", Mendeley Data, V3, doi: 10.17632/56hdnvr7hs.3.
Contents
The official Mendeley Data record lists two files:
| Path | Size | SHA-256 |
|---|---|---|
raw/INR18650.zip |
1,443,604,224 | b235fe61837e1c48f97772a0fb850a739d40d4b21770f7183c3a2e6b25e198c7 |
raw/Readme.txt |
739 | d07f1d112e3615360ca322f2528545c41827133dec862a3ab1cbbf2734c0bba8 |
Additional files in this repository document provenance and upload verification:
BSEBENCH_SOURCE.jsonSHA256SUMS.txtsource_metadata/mendeley_public_dataset_current.jsonsource_metadata/source_page.html
Provenance
Source metadata, DOI, and license were verified from the official Mendeley Data page and public API on 2026-05-08. Raw files were downloaded from official Mendeley Data file download URLs and retained without transformation. The ZIP archive is preserved as published by Mendeley Data; no extracted or normalized derivative dataset is included in this raw mirror.
Validation Notes
This dataset has not yet been validated for BSEBench task suitability, schema, leakage, or benchmark splits. No performance, leaderboard, or benchmark conclusions are made here.
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