Dataset Viewer
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
id: string
doi: string
name: string
description: string
version: int64
contributors: list<item: struct<profile_id: string, first_name: string, last_name: string, institution: struct<id: (... 46 chars omitted)
child 0, item: struct<profile_id: string, first_name: string, last_name: string, institution: struct<id: string, na (... 34 chars omitted)
child 0, profile_id: string
child 1, first_name: string
child 2, last_name: string
child 3, institution: struct<id: string, name: string>
child 0, id: string
child 1, name: string
child 4, contribution: 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: in
...
id: string
child 1, name: string
metrics: struct<views: int64, file_downloads: int64, file_previews: int64>
child 0, views: int64
child 1, file_downloads: int64
child 2, file_previews: int64
available: bool
method: string
size: int64
owner: 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
channel: string
owner_id: string
publish_date: string
data_licence: struct<id: string, description: string, url: string, category: string, short_name: string, full_name (... 9 chars omitted)
child 0, id: string
child 1, description: string
child 2, url: string
child 3, category: string
child 4, short_name: string
child 5, full_name: string
related_links: list<item: null>
child 0, item: null
funders: list<item: null>
child 0, item: null
customer_id: string
modified_on: string
created_on: string
confidential: bool
links: struct<view: string>
child 0, view: string
repository: struct<id: string, name: string>
child 0, id: string
child 1, name: string
repo_id: string
source_url: string
residual_risks: list<item: string>
child 0, item: string
bsebench_status: string
mirror_notes: string
institution_source_credibility: string
license: struct<full_name: string, short_name: string, url: string>
child 0, full_name: string
child 1, short_name: string
child 2, url: string
dataset_title: string
source: string
download_date: timestamp[s]
source_api_url: string
to
{'bsebench_status': Value('string'), 'categories': List(Value('string')), 'contributors': List({'first_name': Value('string'), 'last_name': Value('string'), 'profile_id': Value('string'), 'contribution': Value('string'), 'institution': {'id': Value('string'), 'name': Value('string')}}), 'dataset_title': Value('string'), 'description': Value('string'), 'doi': Value('string'), 'download_date': Value('timestamp[s]'), 'files': List({'content_type': Value('string'), 'download_url': Value('string'), 'filename': Value('string'), 'hash_matches_source': Value('bool'), 'mendeley_file_id': Value('string'), 'path': Value('string'), 'sha256': Value('string'), 'size_bytes': Value('int64'), 'size_matches_source': Value('bool'), 'source_sha256': Value('string'), 'source_size_bytes': Value('int64')}), 'institution_source_credibility': Value('string'), 'institutions': List(Value('string')), 'license': {'full_name': Value('string'), 'short_name': Value('string'), 'url': Value('string')}, 'method': Value('string'), 'mirror_notes': Value('string'), 'publish_date': Value('string'), 'repo_id': Value('string'), 'residual_risks': List(Value('string')), 'source': Value('string'), 'source_api_url': Value('string'), 'source_url': Value('string'), '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
id: string
doi: string
name: string
description: string
version: int64
contributors: list<item: struct<profile_id: string, first_name: string, last_name: string, institution: struct<id: (... 46 chars omitted)
child 0, item: struct<profile_id: string, first_name: string, last_name: string, institution: struct<id: string, na (... 34 chars omitted)
child 0, profile_id: string
child 1, first_name: string
child 2, last_name: string
child 3, institution: struct<id: string, name: string>
child 0, id: string
child 1, name: string
child 4, contribution: 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: in
...
id: string
child 1, name: string
metrics: struct<views: int64, file_downloads: int64, file_previews: int64>
child 0, views: int64
child 1, file_downloads: int64
child 2, file_previews: int64
available: bool
method: string
size: int64
owner: 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
channel: string
owner_id: string
publish_date: string
data_licence: struct<id: string, description: string, url: string, category: string, short_name: string, full_name (... 9 chars omitted)
child 0, id: string
child 1, description: string
child 2, url: string
child 3, category: string
child 4, short_name: string
child 5, full_name: string
related_links: list<item: null>
child 0, item: null
funders: list<item: null>
child 0, item: null
customer_id: string
modified_on: string
created_on: string
confidential: bool
links: struct<view: string>
child 0, view: string
repository: struct<id: string, name: string>
child 0, id: string
child 1, name: string
repo_id: string
source_url: string
residual_risks: list<item: string>
child 0, item: string
bsebench_status: string
mirror_notes: string
institution_source_credibility: string
license: struct<full_name: string, short_name: string, url: string>
child 0, full_name: string
child 1, short_name: string
child 2, url: string
dataset_title: string
source: string
download_date: timestamp[s]
source_api_url: string
to
{'bsebench_status': Value('string'), 'categories': List(Value('string')), 'contributors': List({'first_name': Value('string'), 'last_name': Value('string'), 'profile_id': Value('string'), 'contribution': Value('string'), 'institution': {'id': Value('string'), 'name': Value('string')}}), 'dataset_title': Value('string'), 'description': Value('string'), 'doi': Value('string'), 'download_date': Value('timestamp[s]'), 'files': List({'content_type': Value('string'), 'download_url': Value('string'), 'filename': Value('string'), 'hash_matches_source': Value('bool'), 'mendeley_file_id': Value('string'), 'path': Value('string'), 'sha256': Value('string'), 'size_bytes': Value('int64'), 'size_matches_source': Value('bool'), 'source_sha256': Value('string'), 'source_size_bytes': Value('int64')}), 'institution_source_credibility': Value('string'), 'institutions': List(Value('string')), 'license': {'full_name': Value('string'), 'short_name': Value('string'), 'url': Value('string')}, 'method': Value('string'), 'mirror_notes': Value('string'), 'publish_date': Value('string'), 'repo_id': Value('string'), 'residual_risks': List(Value('string')), 'source': Value('string'), 'source_api_url': Value('string'), 'source_url': Value('string'), 'version': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
EV Lithium Ion Battery Fault Diagnosis Dataset
This dataset repository is a raw BSEBench mirror of the Mendeley Data dataset EV Lithium Ion Battery Fault Diagnosis Dataset.
BSEBench Status
raw_mirror_pending_validation
Source and Provenance
- Source: Mendeley Data
- Source URL: https://data.mendeley.com/datasets/t42ynjk936/1
- Official API metadata URL: https://data.mendeley.com/public-api/datasets/t42ynjk936
- DOI:
10.17632/t42ynjk936.1 - Version: 1
- Published: 2024-06-27T14:07:18.891Z
- Download date: 2026-05-08
- Institution/source credibility: SR Engineering College
- License: Creative Commons Attribution 4.0 International (CC BY 4.0)
- License URL: http://creativecommons.org/licenses/by/4.0
Description
To train and test two ANN models, two separate datasets are developed based on battery modelling in MATLAB. State of Charge (SOC), Temperature and Voltage are the input features in both datasets. Where as against output label column in first dataset 0 represents healthy battery and 1 represents unhealthy battery. Similarly in second dataset 0 represents healthy battery and 1 represents battery has over discharge fault in battery and 2 indicates short circuit fault in the battery.
Files Mirrored
| Path | Size bytes | SHA-256 |
|---|---|---|
raw/Multiple Classification - EV Battery Faults Dataset.xlsx |
55445 | f90af09bb253f82244034e35faeecd30096f8c43f017adeec8b589057ec47e9f |
raw/Simple Classification - EV Battery Faults Dataset.xlsx |
44342 | f1da7473df89703088f521132f37f953bbb9b5c44a9949bb43004386a20473e3 |
The two XLSX workbooks were downloaded from the official Mendeley public file URLs exposed by the source API. The local SHA-256 values match the source API hashes.
Citation
Veeramsetty, Venkataramana; Janagani, Sai Varshith; Pragnia, Prathapagiri (2024), "EV Lithium Ion Battery Fault Diagnosis Dataset", Mendeley Data, V1, doi: 10.17632/t42ynjk936.1.
Transformation Notes
No data transformation was applied. Files are stored under raw/ with their original Mendeley filenames. The source_mendeley_api.json file records the source API metadata captured during mirroring.
Validation Status
This repository is private initially and marked raw_mirror_pending_validation. It has not been used to make benchmark, performance, SOTA, or leaderboard claims.
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