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beijing-jiaotong-ripple-current-2022-raw

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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
id: string
doi: string
name: string
description: string
version: int64
contributors: list<item: struct<profile_id: string, first_name: string, last_name: string>>
  child 0, item: struct<profile_id: string, first_name: string, last_name: string>
      child 0, profile_id: string
      child 1, first_name: string
      child 2, last_name: string
files: list<item: struct<filename: string, id: string, content_details: struct<id: string, sha256_hash: str (... 214 chars omitted)
  child 0, item: struct<filename: string, id: string, content_details: struct<id: string, sha256_hash: string, conten (... 202 chars omitted)
      child 0, filename: string
      child 1, id: string
      child 2, content_details: struct<id: string, sha256_hash: string, content_type: string, size: int64, created_date: string, dow (... 66 chars omitted)
          child 0, id: string
          child 1, sha256_hash: string
          child 2, content_type: string
          child 3, size: int64
          child 4, created_date: string
          child 5, download_url: string
          child 6, view_url: string
          child 7, download_expiry_time: string
      child 3, metrics: struct<downloads: int64, previews: int64>
          child 0, downloads: int64
          child 1, previews: int64
      child 4, size: int64
      child 5, status: string
versions: list<item: struct<version: int64, available: bool, publish_date: string>>
  child 0, item: struct<version: int64, available: bool, publish_date: string>
    
...
itory: struct<id: string, name: string>
  child 0, id: string
  child 1, name: string
dataset_title: string
license: struct<name: string, full_name: string, url: string>
  child 0, name: string
  child 1, full_name: string
  child 2, url: string
source_title: string
residual_risks: list<item: string>
  child 0, item: string
download_method: string
verification: struct<source_page_verified: bool, doi_verified: bool, license_verified: bool, checksum_matches_sour (... 42 chars omitted)
  child 0, source_page_verified: bool
  child 1, doi_verified: bool
  child 2, license_verified: bool
  child 3, checksum_matches_source: bool
  child 4, byte_count_matches_source: bool
raw_files: list<item: struct<path: string, source_filename: string, mendeley_file_id: string, content_type: str (... 80 chars omitted)
  child 0, item: struct<path: string, source_filename: string, mendeley_file_id: string, content_type: string, bytes: (... 68 chars omitted)
      child 0, path: string
      child 1, source_filename: string
      child 2, mendeley_file_id: string
      child 3, content_type: string
      child 4, bytes: int64
      child 5, sha256: string
      child 6, source_sha256: string
      child 7, download_url: string
institution: list<item: string>
  child 0, item: string
source_url: string
packaging: struct<transformed: bool, notes: string>
  child 0, transformed: bool
  child 1, notes: string
official_api_url: string
bsebench_status: string
source: string
download_date_utc: timestamp[s]
to
{'bsebench_status': Value('string'), 'dataset_title': Value('string'), 'source_title': Value('string'), 'source': Value('string'), 'source_url': Value('string'), 'official_api_url': Value('string'), 'doi': Value('string'), 'license': {'name': Value('string'), 'full_name': Value('string'), 'url': Value('string')}, 'institution': List(Value('string')), 'contributors': List({'first_name': Value('string'), 'last_name': Value('string')}), 'version': Value('int64'), 'publish_date': Value('string'), 'download_date_utc': Value('timestamp[s]'), 'download_method': Value('string'), 'raw_files': List({'path': Value('string'), 'source_filename': Value('string'), 'mendeley_file_id': Value('string'), 'content_type': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'source_sha256': Value('string'), 'download_url': Value('string')}), 'packaging': {'transformed': Value('bool'), 'notes': Value('string')}, 'verification': {'source_page_verified': Value('bool'), 'doi_verified': Value('bool'), 'license_verified': Value('bool'), 'checksum_matches_source': Value('bool'), 'byte_count_matches_source': Value('bool')}, 'residual_risks': List(Value('string'))}
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
              id: string
              doi: string
              name: string
              description: string
              version: int64
              contributors: list<item: struct<profile_id: string, first_name: string, last_name: string>>
                child 0, item: struct<profile_id: string, first_name: string, last_name: string>
                    child 0, profile_id: string
                    child 1, first_name: string
                    child 2, last_name: string
              files: list<item: struct<filename: string, id: string, content_details: struct<id: string, sha256_hash: str (... 214 chars omitted)
                child 0, item: struct<filename: string, id: string, content_details: struct<id: string, sha256_hash: string, conten (... 202 chars omitted)
                    child 0, filename: string
                    child 1, id: string
                    child 2, content_details: struct<id: string, sha256_hash: string, content_type: string, size: int64, created_date: string, dow (... 66 chars omitted)
                        child 0, id: string
                        child 1, sha256_hash: string
                        child 2, content_type: string
                        child 3, size: int64
                        child 4, created_date: string
                        child 5, download_url: string
                        child 6, view_url: string
                        child 7, download_expiry_time: string
                    child 3, metrics: struct<downloads: int64, previews: int64>
                        child 0, downloads: int64
                        child 1, previews: int64
                    child 4, size: int64
                    child 5, status: string
              versions: list<item: struct<version: int64, available: bool, publish_date: string>>
                child 0, item: struct<version: int64, available: bool, publish_date: string>
                  
              ...
              itory: struct<id: string, name: string>
                child 0, id: string
                child 1, name: string
              dataset_title: string
              license: struct<name: string, full_name: string, url: string>
                child 0, name: string
                child 1, full_name: string
                child 2, url: string
              source_title: string
              residual_risks: list<item: string>
                child 0, item: string
              download_method: string
              verification: struct<source_page_verified: bool, doi_verified: bool, license_verified: bool, checksum_matches_sour (... 42 chars omitted)
                child 0, source_page_verified: bool
                child 1, doi_verified: bool
                child 2, license_verified: bool
                child 3, checksum_matches_source: bool
                child 4, byte_count_matches_source: bool
              raw_files: list<item: struct<path: string, source_filename: string, mendeley_file_id: string, content_type: str (... 80 chars omitted)
                child 0, item: struct<path: string, source_filename: string, mendeley_file_id: string, content_type: string, bytes: (... 68 chars omitted)
                    child 0, path: string
                    child 1, source_filename: string
                    child 2, mendeley_file_id: string
                    child 3, content_type: string
                    child 4, bytes: int64
                    child 5, sha256: string
                    child 6, source_sha256: string
                    child 7, download_url: string
              institution: list<item: string>
                child 0, item: string
              source_url: string
              packaging: struct<transformed: bool, notes: string>
                child 0, transformed: bool
                child 1, notes: string
              official_api_url: string
              bsebench_status: string
              source: string
              download_date_utc: timestamp[s]
              to
              {'bsebench_status': Value('string'), 'dataset_title': Value('string'), 'source_title': Value('string'), 'source': Value('string'), 'source_url': Value('string'), 'official_api_url': Value('string'), 'doi': Value('string'), 'license': {'name': Value('string'), 'full_name': Value('string'), 'url': Value('string')}, 'institution': List(Value('string')), 'contributors': List({'first_name': Value('string'), 'last_name': Value('string')}), 'version': Value('int64'), 'publish_date': Value('string'), 'download_date_utc': Value('timestamp[s]'), 'download_method': Value('string'), 'raw_files': List({'path': Value('string'), 'source_filename': Value('string'), 'mendeley_file_id': Value('string'), 'content_type': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'source_sha256': Value('string'), 'download_url': Value('string')}), 'packaging': {'transformed': Value('bool'), 'notes': Value('string')}, 'verification': {'source_page_verified': Value('bool'), 'doi_verified': Value('bool'), 'license_verified': Value('bool'), 'checksum_matches_source': Value('bool'), 'byte_count_matches_source': Value('bool')}, 'residual_risks': List(Value('string'))}
              because column names don't match

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Lithium-ion battery thermal and electrical behavior under sinusoidal ripple current

BSEBench status: raw_mirror_pending_validation

This private dataset repository is a raw mirror staging upload for BSEBench. It preserves the source archive from Mendeley Data and adds provenance/checksum metadata. No benchmark conclusions, model performance claims, or validation claims are made here.

Source

Source repository: Mendeley Data
Source dataset title: Li-ion battery voltage data under ripple current excitation
Source URL: https://data.mendeley.com/datasets/pg8s42f7b5/2
DOI: 10.17632/pg8s42f7b5.2
Version: 2
Published: 2022-06-09T15:40:14.335Z
Contributor: hao li
Institution: Beijing Jiaotong University
License: CC BY 4.0 (http://creativecommons.org/licenses/by/4.0)

Provenance

Downloaded on: 2026-05-08T09:31:24Z

The source page, DOI redirect, and license were checked before upload. The raw archive was downloaded from the official Mendeley public-files URL returned by the official public API endpoint. The downloaded byte count and SHA-256 matched the values reported by Mendeley.

Files

source/Li-ion battery voltage data under ripple current excitation.zip: original Mendeley ZIP archive, preserved without transformation.
metadata/mendeley_public_api_dataset.json: JSON response from the official Mendeley public API used for provenance.
BSEBENCH_SOURCE.json: machine-readable BSEBench provenance.
SHA256SUMS.txt: checksums for the uploaded payload/provenance files.

Citation

Li, Hao (2022), "Li-ion battery voltage data under ripple current excitation", Mendeley Data, V2, doi: 10.17632/pg8s42f7b5.2

License

The source dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). See the source page and license URL for the authoritative terms.

Downloads last month: 34

Total file size:

2.27 GB