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Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'Electric cars sold'}) and 1 missing columns ({'Share of new cars that are electric'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sankalpsthakur/iea-global-ev-outlook-2026-owid-processed/electric-car-sales.csv (at revision e43e4d7183ada48a03741dd5cb3c575173907d06), ['hf://datasets/sankalpsthakur/iea-global-ev-outlook-2026-owid-processed@e43e4d7183ada48a03741dd5cb3c575173907d06/electric-car-sales-share.csv', 'hf://datasets/sankalpsthakur/iea-global-ev-outlook-2026-owid-processed@e43e4d7183ada48a03741dd5cb3c575173907d06/electric-car-sales.csv', 'hf://datasets/sankalpsthakur/iea-global-ev-outlook-2026-owid-processed@e43e4d7183ada48a03741dd5cb3c575173907d06/electric-car-stocks.csv', 'hf://datasets/sankalpsthakur/iea-global-ev-outlook-2026-owid-processed@e43e4d7183ada48a03741dd5cb3c575173907d06/share-car-stocks-electric.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
Entity: string
Code: string
Year: int64
Electric cars sold: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 737
to
{'Entity': Value('string'), 'Code': Value('string'), 'Year': Value('int64'), 'Share of new cars that are electric': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'Electric cars sold'}) and 1 missing columns ({'Share of new cars that are electric'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sankalpsthakur/iea-global-ev-outlook-2026-owid-processed/electric-car-sales.csv (at revision e43e4d7183ada48a03741dd5cb3c575173907d06), ['hf://datasets/sankalpsthakur/iea-global-ev-outlook-2026-owid-processed@e43e4d7183ada48a03741dd5cb3c575173907d06/electric-car-sales-share.csv', 'hf://datasets/sankalpsthakur/iea-global-ev-outlook-2026-owid-processed@e43e4d7183ada48a03741dd5cb3c575173907d06/electric-car-sales.csv', 'hf://datasets/sankalpsthakur/iea-global-ev-outlook-2026-owid-processed@e43e4d7183ada48a03741dd5cb3c575173907d06/electric-car-stocks.csv', 'hf://datasets/sankalpsthakur/iea-global-ev-outlook-2026-owid-processed@e43e4d7183ada48a03741dd5cb3c575173907d06/share-car-stocks-electric.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Entity string | Code string | Year int64 | Share of new cars that are electric float64 |
|---|---|---|---|
Australia | AUS | 2,011 | 0.0061 |
Australia | AUS | 2,012 | 0.029 |
Australia | AUS | 2,013 | 0.033 |
Australia | AUS | 2,014 | 0.15 |
Australia | AUS | 2,015 | 0.19 |
Australia | AUS | 2,016 | 0.15 |
Australia | AUS | 2,017 | 0.25 |
Australia | AUS | 2,018 | 0.42 |
Australia | AUS | 2,019 | 1.2 |
Australia | AUS | 2,020 | 0.98 |
Australia | AUS | 2,021 | 2.7 |
Australia | AUS | 2,022 | 5.1 |
Australia | AUS | 2,023 | 11 |
Australia | AUS | 2,024 | 12 |
Australia | AUS | 2,025 | 15 |
Austria | AUT | 2,013 | 0.2 |
Austria | AUT | 2,014 | 0.57 |
Austria | AUT | 2,015 | 0.9 |
Austria | AUT | 2,016 | 1.5 |
Austria | AUT | 2,017 | 2 |
Austria | AUT | 2,018 | 2.6 |
Austria | AUT | 2,019 | 3.5 |
Austria | AUT | 2,020 | 9.5 |
Austria | AUT | 2,021 | 20 |
Austria | AUT | 2,022 | 22 |
Austria | AUT | 2,023 | 27 |
Austria | AUT | 2,024 | 24 |
Austria | AUT | 2,025 | 31 |
Belgium | BEL | 2,010 | 0.01 |
Belgium | BEL | 2,011 | 0.052 |
Belgium | BEL | 2,012 | 0.19 |
Belgium | BEL | 2,013 | 0.11 |
Belgium | BEL | 2,014 | 0.41 |
Belgium | BEL | 2,015 | 0.76 |
Belgium | BEL | 2,016 | 1.7 |
Belgium | BEL | 2,017 | 2.6 |
Belgium | BEL | 2,018 | 2.4 |
Belgium | BEL | 2,019 | 3.2 |
Belgium | BEL | 2,020 | 11 |
Belgium | BEL | 2,021 | 18 |
Belgium | BEL | 2,022 | 26 |
Belgium | BEL | 2,023 | 41 |
Belgium | BEL | 2,024 | 43 |
Belgium | BEL | 2,025 | 44 |
Brazil | BRA | 2,010 | 0.00035 |
Brazil | BRA | 2,011 | 0.00028 |
Brazil | BRA | 2,012 | 0.0013 |
Brazil | BRA | 2,013 | 0.0024 |
Brazil | BRA | 2,014 | 0.0022 |
Brazil | BRA | 2,015 | 0.0042 |
Brazil | BRA | 2,016 | 0.011 |
Brazil | BRA | 2,017 | 0.023 |
Brazil | BRA | 2,018 | 0.02 |
Brazil | BRA | 2,019 | 0.084 |
Brazil | BRA | 2,020 | 0.16 |
Brazil | BRA | 2,021 | 0.92 |
Brazil | BRA | 2,022 | 1.2 |
Brazil | BRA | 2,023 | 3 |
Brazil | BRA | 2,024 | 6.4 |
Brazil | BRA | 2,025 | 9 |
Bulgaria | BGR | 2,015 | 0.09 |
Bulgaria | BGR | 2,016 | 0.05 |
Bulgaria | BGR | 2,017 | 0.34 |
Bulgaria | BGR | 2,018 | 0.64 |
Bulgaria | BGR | 2,019 | 0.67 |
Bulgaria | BGR | 2,021 | 2.2 |
Bulgaria | BGR | 2,022 | 4 |
Bulgaria | BGR | 2,023 | 5.8 |
Bulgaria | BGR | 2,024 | 5 |
Bulgaria | BGR | 2,025 | 6 |
Cambodia | KHM | 2,021 | 0.059 |
Cambodia | KHM | 2,022 | 0.45 |
Cambodia | KHM | 2,023 | 0.67 |
Cambodia | KHM | 2,024 | 2.9 |
Cambodia | KHM | 2,025 | 5 |
Canada | CAN | 2,011 | 0.041 |
Canada | CAN | 2,012 | 0.14 |
Canada | CAN | 2,013 | 0.22 |
Canada | CAN | 2,014 | 0.35 |
Canada | CAN | 2,015 | 0.45 |
Canada | CAN | 2,016 | 0.76 |
Canada | CAN | 2,017 | 1 |
Canada | CAN | 2,018 | 2.8 |
Canada | CAN | 2,019 | 3.4 |
Canada | CAN | 2,020 | 4.2 |
Canada | CAN | 2,021 | 6.4 |
Canada | CAN | 2,022 | 9.5 |
Canada | CAN | 2,023 | 13 |
Canada | CAN | 2,024 | 17 |
Canada | CAN | 2,025 | 11 |
Chile | CHL | 2,011 | 0.0024 |
Chile | CHL | 2,012 | 0.002 |
Chile | CHL | 2,013 | 0.0019 |
Chile | CHL | 2,014 | 0.0079 |
Chile | CHL | 2,015 | 0.019 |
Chile | CHL | 2,016 | 0.015 |
Chile | CHL | 2,017 | 0.064 |
Chile | CHL | 2,018 | 0.08 |
Chile | CHL | 2,019 | 0.14 |
Chile | CHL | 2,020 | 0.2 |
IEA Global EV Outlook 2026 — OWID processed snapshot
Hugging Face pin/mirror of the Kaggle dataset
sankalpsthakur/iea-global-ev-outlook-2026-owid-processed
for reproducibility. This repository does not claim rights beyond the source licence; it is a byte-oriented mirror of the Kaggle pin so downstream jobs can pin a stable HF revision.
This release contains four reproducible indicator snapshots from Our World in Data Grapher, derived from the International Energy Agency's Global EV Outlook 2026 data. It covers historical electric-car adoption through 2025: annual sales, sales share, stock, and stock share.
Attribution and licence
Data: International Energy Agency, Global EV Outlook 2026, processed by Our World in Data.
The downloaded OWID variable metadata and the IEA Global EV Data Explorer identify the data licence as Creative Commons Attribution 4.0 International (CC BY 4.0). Reusers must give appropriate credit, link the licence, and indicate whether changes were made. See LICENSE.md (kept from the Kaggle pin).
- Kaggle pin (source of this mirror): https://www.kaggle.com/datasets/sankalpsthakur/iea-global-ev-outlook-2026-owid-processed
- IEA data explorer: https://www.iea.org/data-and-statistics/data-tools/global-ev-data-explorer
- OWID sales page: https://ourworldindata.org/grapher/electric-car-sales
- OWID sales-share page: https://ourworldindata.org/grapher/electric-car-sales-share
- OWID stock page: https://ourworldindata.org/grapher/electric-car-stocks
- OWID stock-share page: https://ourworldindata.org/grapher/share-car-stocks-electric
- Licence: https://creativecommons.org/licenses/by/4.0/
The separate IEA product/download page has a different account and terms presentation. This release is therefore limited to the exact OWID-processed indicator files whose source metadata explicitly states CC BY 4.0; it does not redistribute the account-gated IEA workbook or claim that every IEA artifact has the same licence.
Snapshot and modification disclosure
- Snapshot/source-metadata vintage: 2026-06-15.
- Packaging date: 2026-07-22.
- The four CSVs are byte-for-byte copies of the downloaded OWID Grapher files (and of the Kaggle pin).
- No rows, values, columns, filenames, or units were changed for this HF mirror beyond README packaging notes for the mirror claim.
- No Kaggle mirror rows, forecasts, model outputs, or derived tables are included.
- OWID describes these series as IEA data processed by Our World in Data. Consult the linked source pages for OWID's processing notes.
- The exact URLs, file sizes, expected columns, and SHA-256 receipts are in
source-manifest.jsonandCHECKSUMS.sha256.
Files
| File | Indicator | Unit | Years |
|---|---|---|---|
electric-car-sales.csv |
Electric cars sold | cars | 2010–2025 |
electric-car-sales-share.csv |
Share of new cars that are electric | percent | 2010–2025 |
electric-car-stocks.csv |
Electric-car stocks | cars | 2010–2025 |
share-car-stocks-electric.csv |
Share of car stocks that are electric | percent | 2010–2025 |
Electric cars comprise battery-electric and plug-in hybrid cars in the source definition. Geographic rows include countries and aggregate regions. Do not sum the World row together with countries or regional aggregates.
Integrity
Verify from this directory with:
shasum -a 256 -c CHECKSUMS.sha256
Negative count values occur only in a small number of published Rest of World residual rows. They are retained unchanged and should not be interpreted as country observations.
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