BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction
Paper • 2502.18807 • Published
Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0xbb in position 3: invalid start byte
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 246, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 4196, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2533, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2711, in iter
for key, pa_table in ex_iterable.iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2249, in _iter_arrow
yield from 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/csv/csv.py", line 196, in _generate_tables
csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/streaming.py", line 73, in wrapper
return function(*args, download_config=download_config, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1250, in xpandas_read_csv
return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
return _read(filepath_or_buffer, kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 620, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__
self._engine = self._make_engine(f, self.engine)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine
return mapping[engine](f, **self.options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__
self._reader = parsers.TextReader(src, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pandas/_libs/parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__
File "pandas/_libs/parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header
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 2053, in pandas._libs.parsers.raise_parser_error
File "<frozen codecs>", line 322, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xbb in position 3: invalid start byteNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
BatteryLife official raw corpus HF mirror
This dataset is a BSEBench raw mirror of the official BatteryLife raw corpus hosted at https://huggingface.co/datasets/Battery-Life/BatteryLife_Raw. The source repository is maintained by the BatteryLife benchmark authors / Battery-Life organization and is associated with the work BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction.
BSEBench status: raw_mirror_pending_validation.
Source and License
- Source:
Battery-Life/BatteryLife_Raw - Source URL: https://huggingface.co/datasets/Battery-Life/BatteryLife_Raw
- Source revision mirrored:
e52318a5a5036a46f5fb2f69b3dbd584d0d815e5 - Source last modified:
2025-12-17T08:31:42.000Z - Verified source license: MIT, from the official Hugging Face dataset card.
- Download date:
2026-05-08T11:33:42Z
No standalone Hugging Face data DOI was found. The associated paper is identified as arXiv:2502.18807. The Zenodo raw record DOI 10.5281/zenodo.14916236 was checked separately; Zenodo reports access_right: restricted and no downloadable files through its public API at upload time. This mirror therefore uses only the official Hugging Face raw corpus as the downloadable source.
Payload
The raw CALB, NAion, and ZNion files are mirrored at their original source-relative paths. The official source card is preserved as OFFICIAL_SOURCE_README.md because this repository's root README.md is the BSEBench dataset card.
- Raw data files: 262
- Raw data bytes: 7936448547
- Source-side files including
.gitattributesand official README: 264 - Source-side bytes including
.gitattributesand official README: 7936492984
Checksums for the uploaded source payload are in SHA256SUMS.txt. Machine-readable provenance is in BSEBENCH_SOURCE.json.
Integrity Caveat
The official Hugging Face file table contains size metadata inconsistencies for 109 files. The mirrored bytes were downloaded from official revision-pinned Hugging Face resolve URLs, and all files match the Hugging Face LFS SHA-256 object IDs where those IDs are provided. The affected paths are listed in BSEBENCH_SOURCE.json.
BSEBench Scope
This repository is labeled as an aggregate benchmark corpus mirror. Its constituent source experiments should not be counted as independent BSEBench datasets from this mirror alone.
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