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Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
status: string
bsebench_status: string
repo_id: string
repo_private: bool
source_doi: string
doi: string
license: string
source_record_url: string
source_url: string
updated_at_utc: timestamp[s]
hf_file_count: int64
hf_files: list<item: string>
  child 0, item: string
source_files_total_count: int64
source_files_total_bytes: int64
source_files_uploaded_count: int64
source_files_uploaded_bytes: int64
source_files_not_uploaded_count: int64
source_files_not_uploaded_bytes: int64
uploaded_source_files: list<item: struct<path: string, bytes: int64, sha256: string>>
  child 0, item: struct<path: string, bytes: int64, sha256: string>
      child 0, path: string
      child 1, bytes: int64
      child 2, sha256: string
not_uploaded_source_files: list<item: struct<path: string, bytes: int64, sha256: string, reason: string>>
  child 0, item: struct<path: string, bytes: int64, sha256: string, reason: string>
      child 0, path: string
      child 1, bytes: int64
      child 2, sha256: string
      child 3, reason: string
verified_local_file: struct<path: string, bytes: int64, sha256: string, matches_recorded_sha256: bool>
  child 0, path: string
  child 1, bytes: int64
  child 2, sha256: string
  child 3, matches_recorded_sha256: bool
blocker: struct<reason: string, blocked_file: string, blocked_file_bytes: int64, details: string>
  child 0, reason: string
  child 1, blocked_file: string
  child 2, blocked_file_bytes: int64
  child 3, details: string
residual_risks: list<item: string>

...
tring
  child 3, not_uploaded_files: list<item: string>
      child 0, item: string
  child 4, blocker: string
files: list<item: struct<path: string, source_url: string, bytes: int64, sha256: string>>
  child 0, item: struct<path: string, source_url: string, bytes: int64, sha256: string>
      child 0, path: string
      child 1, source_url: string
      child 2, bytes: int64
      child 3, sha256: string
duplicate_precheck: struct<target_repo_existed_before_upload: bool, hf_search_queries: list<item: string>, matching_resu (... 39 chars omitted)
  child 0, target_repo_existed_before_upload: bool
  child 1, hf_search_queries: list<item: string>
      child 0, item: string
  child 2, matching_results_found: bool
  child 3, precheck_file: string
source: struct<institution: string, publisher: string, record_id: string, record_identifier: string, record_ (... 190 chars omitted)
  child 0, institution: string
  child 1, publisher: string
  child 2, record_id: string
  child 3, record_identifier: string
  child 4, record_url: string
  child 5, files_url: string
  child 6, doi: string
  child 7, license: string
  child 8, license_spdx: string
  child 9, source_record_last_modified: timestamp[s]
  child 10, verified_at_utc: timestamp[s]
  child 11, downloaded_at_utc: timestamp[s]
packaging: struct<transformed: bool, original_archives_preserved: bool, notes: string>
  child 0, transformed: bool
  child 1, original_archives_preserved: bool
  child 2, notes: string
dataset_title: string
to
{'bsebench_status': Value('string'), 'dataset_title': Value('string'), 'source': {'institution': Value('string'), 'publisher': Value('string'), 'record_id': Value('string'), 'record_identifier': Value('string'), 'record_url': Value('string'), 'files_url': Value('string'), 'doi': Value('string'), 'license': Value('string'), 'license_spdx': Value('string'), 'source_record_last_modified': Value('timestamp[s]'), 'verified_at_utc': Value('timestamp[s]'), 'downloaded_at_utc': Value('timestamp[s]')}, 'duplicate_precheck': {'target_repo_existed_before_upload': Value('bool'), 'hf_search_queries': List(Value('string')), 'matching_results_found': Value('bool'), 'precheck_file': Value('string')}, 'files': List({'path': Value('string'), 'source_url': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}), 'packaging': {'transformed': Value('bool'), 'original_archives_preserved': Value('bool'), 'notes': Value('string')}, 'upload_status': {'status': Value('string'), 'updated_at_utc': Value('timestamp[s]'), 'uploaded_files': List(Value('string')), 'not_uploaded_files': List(Value('string')), 'blocker': 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
              status: string
              bsebench_status: string
              repo_id: string
              repo_private: bool
              source_doi: string
              doi: string
              license: string
              source_record_url: string
              source_url: string
              updated_at_utc: timestamp[s]
              hf_file_count: int64
              hf_files: list<item: string>
                child 0, item: string
              source_files_total_count: int64
              source_files_total_bytes: int64
              source_files_uploaded_count: int64
              source_files_uploaded_bytes: int64
              source_files_not_uploaded_count: int64
              source_files_not_uploaded_bytes: int64
              uploaded_source_files: list<item: struct<path: string, bytes: int64, sha256: string>>
                child 0, item: struct<path: string, bytes: int64, sha256: string>
                    child 0, path: string
                    child 1, bytes: int64
                    child 2, sha256: string
              not_uploaded_source_files: list<item: struct<path: string, bytes: int64, sha256: string, reason: string>>
                child 0, item: struct<path: string, bytes: int64, sha256: string, reason: string>
                    child 0, path: string
                    child 1, bytes: int64
                    child 2, sha256: string
                    child 3, reason: string
              verified_local_file: struct<path: string, bytes: int64, sha256: string, matches_recorded_sha256: bool>
                child 0, path: string
                child 1, bytes: int64
                child 2, sha256: string
                child 3, matches_recorded_sha256: bool
              blocker: struct<reason: string, blocked_file: string, blocked_file_bytes: int64, details: string>
                child 0, reason: string
                child 1, blocked_file: string
                child 2, blocked_file_bytes: int64
                child 3, details: string
              residual_risks: list<item: string>
              
              ...
              tring
                child 3, not_uploaded_files: list<item: string>
                    child 0, item: string
                child 4, blocker: string
              files: list<item: struct<path: string, source_url: string, bytes: int64, sha256: string>>
                child 0, item: struct<path: string, source_url: string, bytes: int64, sha256: string>
                    child 0, path: string
                    child 1, source_url: string
                    child 2, bytes: int64
                    child 3, sha256: string
              duplicate_precheck: struct<target_repo_existed_before_upload: bool, hf_search_queries: list<item: string>, matching_resu (... 39 chars omitted)
                child 0, target_repo_existed_before_upload: bool
                child 1, hf_search_queries: list<item: string>
                    child 0, item: string
                child 2, matching_results_found: bool
                child 3, precheck_file: string
              source: struct<institution: string, publisher: string, record_id: string, record_identifier: string, record_ (... 190 chars omitted)
                child 0, institution: string
                child 1, publisher: string
                child 2, record_id: string
                child 3, record_identifier: string
                child 4, record_url: string
                child 5, files_url: string
                child 6, doi: string
                child 7, license: string
                child 8, license_spdx: string
                child 9, source_record_last_modified: timestamp[s]
                child 10, verified_at_utc: timestamp[s]
                child 11, downloaded_at_utc: timestamp[s]
              packaging: struct<transformed: bool, original_archives_preserved: bool, notes: string>
                child 0, transformed: bool
                child 1, original_archives_preserved: bool
                child 2, notes: string
              dataset_title: string
              to
              {'bsebench_status': Value('string'), 'dataset_title': Value('string'), 'source': {'institution': Value('string'), 'publisher': Value('string'), 'record_id': Value('string'), 'record_identifier': Value('string'), 'record_url': Value('string'), 'files_url': Value('string'), 'doi': Value('string'), 'license': Value('string'), 'license_spdx': Value('string'), 'source_record_last_modified': Value('timestamp[s]'), 'verified_at_utc': Value('timestamp[s]'), 'downloaded_at_utc': Value('timestamp[s]')}, 'duplicate_precheck': {'target_repo_existed_before_upload': Value('bool'), 'hf_search_queries': List(Value('string')), 'matching_results_found': Value('bool'), 'precheck_file': Value('string')}, 'files': List({'path': Value('string'), 'source_url': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}), 'packaging': {'transformed': Value('bool'), 'original_archives_preserved': Value('bool'), 'notes': Value('string')}, 'upload_status': {'status': Value('string'), 'updated_at_utc': Value('timestamp[s]'), 'uploaded_files': List(Value('string')), 'not_uploaded_files': List(Value('string')), 'blocker': Value('string')}}
              because column names don't match

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RWTH ISEA one-shot battery degradation trajectory prediction dataset

BSEBench status: raw_mirror_pending_validation

This repository is a raw mirror of the RWTH Aachen University Publications dataset "Timeseries data of a drive cycle aging test of 28 high energy NCA/C+Si round cells of type 18650".

Source

The source record and Metadata.pdf were checked before upload. Metadata.pdf states that the dataset published under DOI 10.18154/RWTH-2021-02814 is licensed under Creative Commons Attribution 4.0 International.

Citation

Jost, Dominik; Ringbeck, Florian; Blomeke, Alexander; Sauer, Dirk Uwe. "Timeseries data of a drive cycle aging test of 28 high energy NCA/C+Si round cells of type 18650." RWTH Aachen University Publications, 2021. DOI: 10.18154/RWTH-2021-02814.

Upload Status

The following original files were downloaded from the official RWTH source without transformation:

  • Metadata.pdf
  • PreviewFiguresDocument.pdf
  • OverviewFigures.zip
  • TimeSeriesData.zip

Upload is currently partial. Metadata.pdf, PreviewFiguresDocument.pdf, and OverviewFigures.zip were uploaded to this Hugging Face repository. TimeSeriesData.zip was downloaded and checksummed locally, but Hugging Face rejected its upload because the private repository storage limit was reached.

Checksums are recorded in SHA256SUMS.txt. Machine-readable provenance is recorded in BSEBENCH_SOURCE.json.

Provenance Notes

Authenticated Hugging Face precheck found no existing target repository and no matching dataset search results for DOI 10.18154/RWTH-2021-02814 before upload. This mirror is private initially and has not been validated for benchmark readiness. See UPLOAD_BLOCKED.json and FINAL_STATUS.json for the current upload blocker.

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