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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
content_details: struct<content_type: string, created_date: string, download_expiry_time: string, download_url: strin (... 66 chars omitted)
  child 0, content_type: string
  child 1, created_date: string
  child 2, download_expiry_time: string
  child 3, download_url: string
  child 4, id: string
  child 5, sha256_hash: string
  child 6, size: int64
  child 7, view_url: string
file_id: string
filename: string
last_modified_date: string
size: int64
status: string
source_page_verified: bool
repo_id: string
official_download_api: string
raw_files: list<item: struct<bytes: int64, content_type: string, download_url: string, path: string, sha256: st (... 119 chars omitted)
  child 0, item: struct<bytes: int64, content_type: string, download_url: string, path: string, sha256: string, sourc (... 107 chars omitted)
      child 0, bytes: int64
      child 1, content_type: string
      child 2, download_url: string
      child 3, path: string
      child 4, sha256: string
      child 5, source_created_date: string
      child 6, source_file_id: string
      child 7, source_filename: string
      child 8, source_last_modified_date: string
source: string
published: timestamp[s]
source_url: string
institution: string
doi_verified: bool
transformations: list<item: null>
  child 0, item: null
license: string
version: int64
license_verified: bool
download_date: timestamp[s]
contributors: list<item: string>
  child 0, item: string
dataset_title: string
notes: string
doi: string
license_url: string
bsebench_status: string
to
{'bsebench_status': Value('string'), 'contributors': List(Value('string')), 'dataset_title': Value('string'), 'doi': Value('string'), 'doi_verified': Value('bool'), 'download_date': Value('timestamp[s]'), 'institution': Value('string'), 'license': Value('string'), 'license_url': Value('string'), 'license_verified': Value('bool'), 'notes': Value('string'), 'official_download_api': Value('string'), 'published': Value('timestamp[s]'), 'raw_files': List({'bytes': Value('int64'), 'content_type': Value('string'), 'download_url': Value('string'), 'path': Value('string'), 'sha256': Value('string'), 'source_created_date': Value('string'), 'source_file_id': Value('string'), 'source_filename': Value('string'), 'source_last_modified_date': Value('string')}), 'repo_id': Value('string'), 'source': Value('string'), 'source_page_verified': Value('bool'), 'source_url': Value('string'), 'transformations': List(Value('null')), 'version': Value('int64')}
because column names don't match
Traceback:    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 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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
              content_details: struct<content_type: string, created_date: string, download_expiry_time: string, download_url: strin (... 66 chars omitted)
                child 0, content_type: string
                child 1, created_date: string
                child 2, download_expiry_time: string
                child 3, download_url: string
                child 4, id: string
                child 5, sha256_hash: string
                child 6, size: int64
                child 7, view_url: string
              file_id: string
              filename: string
              last_modified_date: string
              size: int64
              status: string
              source_page_verified: bool
              repo_id: string
              official_download_api: string
              raw_files: list<item: struct<bytes: int64, content_type: string, download_url: string, path: string, sha256: st (... 119 chars omitted)
                child 0, item: struct<bytes: int64, content_type: string, download_url: string, path: string, sha256: string, sourc (... 107 chars omitted)
                    child 0, bytes: int64
                    child 1, content_type: string
                    child 2, download_url: string
                    child 3, path: string
                    child 4, sha256: string
                    child 5, source_created_date: string
                    child 6, source_file_id: string
                    child 7, source_filename: string
                    child 8, source_last_modified_date: string
              source: string
              published: timestamp[s]
              source_url: string
              institution: string
              doi_verified: bool
              transformations: list<item: null>
                child 0, item: null
              license: string
              version: int64
              license_verified: bool
              download_date: timestamp[s]
              contributors: list<item: string>
                child 0, item: string
              dataset_title: string
              notes: string
              doi: string
              license_url: string
              bsebench_status: string
              to
              {'bsebench_status': Value('string'), 'contributors': List(Value('string')), 'dataset_title': Value('string'), 'doi': Value('string'), 'doi_verified': Value('bool'), 'download_date': Value('timestamp[s]'), 'institution': Value('string'), 'license': Value('string'), 'license_url': Value('string'), 'license_verified': Value('bool'), 'notes': Value('string'), 'official_download_api': Value('string'), 'published': Value('timestamp[s]'), 'raw_files': List({'bytes': Value('int64'), 'content_type': Value('string'), 'download_url': Value('string'), 'path': Value('string'), 'sha256': Value('string'), 'source_created_date': Value('string'), 'source_file_id': Value('string'), 'source_filename': Value('string'), 'source_last_modified_date': Value('string')}), 'repo_id': Value('string'), 'source': Value('string'), 'source_page_verified': Value('bool'), 'source_url': Value('string'), 'transformations': List(Value('null')), 'version': Value('int64')}
              because column names don't match

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Battery Test Data for LFP, NCA and NMC 18650 Cells

BSEBench status: raw_mirror_pending_validation

This dataset repository is a raw mirror of the Mendeley Data dataset "Battery Test Data (LiFePO4 18650 Rechargeable Cell 3.3V 1100 mAh, Panasonic NCR18650B 3400mAh, Murata VTC6 18650 3000mAh 15A)".

Source

Mirrored Files

Path Source filename Bytes SHA-256
raw/Battery Test Data.rar Battery Test Data.rar 102805962 60dac826be1f1f7b3d10e216ba03d56707f196d218a2a706b635e91d8657df07

The Mendeley public API reported one completed file for version 1. The archive was downloaded from the official Mendeley file_downloaded URL and stored without unpacking or conversion.

Provenance

Machine-readable provenance is in BSEBENCH_SOURCE.json. Checksums for the uploaded payload files are in SHA256SUMS.txt. The source API file metadata captured at upload time is in metadata/mendeley_public_file_metadata.json.

Validation Status

This is a raw mirror pending BSEBench validation. No benchmark results, model rankings, or performance conclusions are included.

Citation

Shrivastava, P.; Tey, K. S. Battery Test Data (LiFePO4 18650 Rechargeable Cell 3.3V 1100 mAh, Panasonic NCR18650B 3400mAh, Murata VTC6 18650 3000mAh 15A). Mendeley Data, V1. DOI: 10.17632/29kw38kzwj.1.

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