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The dataset generation failed because of a cast error
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 ({'licence'}) and 1 missing columns ({'name'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sondalex/company-entities/assets/licences.csv (at revision 52b448d5579ca73ce7395a7f0764ee06290b0f3c)
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/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
qid: string
licence: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 481
to
{'name': Value('string'), 'qid': Value('string')}
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 1455, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 ({'licence'}) and 1 missing columns ({'name'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sondalex/company-entities/assets/licences.csv (at revision 52b448d5579ca73ce7395a7f0764ee06290b0f3c)
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.
name string | qid string |
|---|---|
NVDA | Q182477 |
MSFT | Q2283 |
AAPL | Q312 |
AMZN | Q3884 |
GOOGL | Q20800404 |
AVGO | Q555925 |
META | Q380 |
TSLA | Q478214 |
ORCL | Q19900 |
ADBE | Q11463 |
CRM | Q941127 |
ASML | Q297879 |
Advanced Micro Devices Inc. | Q128896 |
CSCO | Q173395 |
QCOM | Q544847 |
NFLX | Q116452644 |
SHOP | Q7501150 |
INTC | Q248 |
NOW | Q7455653 |
INTU | Q1318848 |
AMAT | Q621610 |
PANW | Q7128508 |
SNPS | Q2303478 |
CDNS | Q608776 |
LRCX | Q1342041 |
KLAC | Q624649 |
ARM | Q296782 |
SONY | Q41187 |
MU | Q1197548 |
TXN | Q193412 |
ADI | Q484930 |
CRWD | Q24890758 |
SNOW | Q22078063 |
ERIC | Q52618 |
DELL | Q27500963 |
UBER | Q780442 |
ZS | Q8074786 |
FTNT | Q2749364 |
WDAY | Q8034666 |
MELI | Q950419 |
TEAM | Q757307 |
BIDU | Q14772 |
MSI | Q634815 |
ANET | Q2861324 |
PYPL | Q483959 |
NTES | Q196259 |
MRVL | Q1347782 |
ROP | Q16932392 |
CAJPY | Q62621 |
XYZ | Q110778747 |
DASH | Q20714323 |
ABNB | Q63327 |
TCOM | Q5191790 |
DDOG | Q16248637 |
RBLX | Q67186598 |
PLTR | Q2047336 |
LOGI | Q223127 |
U | Q7893816 |
OKTA | Q55627388 |
TWLO | Q7858039 |
CTSH | Q1107035 |
AKAM | Q415598 |
ZM | Q17460900 |
MCHP | Q1545076 |
DBX | Q142539 |
DOCU | Q5287613 |
TEL | Q663452 |
CFLT | Q94758727 |
ACN | Q338825 |
FSLY | Q34045622 |
VIPS | Q19854317 |
BILI | Q3077586 |
GRMN | Q658789 |
Apple | Q312 |
Alphabet | Q20800404 |
Meta | Q380 |
Tesla | Q478214 |
Oracle | Q19900 |
Samsung | Q20718 |
Netflix | Q116452644 |
Intel | Q248 |
Arm | Q296782 |
ARM Holdings Plc | Q296782 |
Snowflake | Q22078063 |
Dell | Q27500963 |
Workday | Q8034666 |
Sea Limited | Q93520415 |
Motorola | Q634815 |
Roper | Q16932392 |
Canon | Q62621 |
Block | Q110778747 |
Trip.com | Q5191790 |
Roblox | Q67186598 |
Palantir | Q2047336 |
Palantir Technologies Inc. | Q2047336 |
Unity | Q7893816 |
Akamai | Q415598 |
Zoom | Q17460900 |
ANSYS | Q295774 |
Panasonic | Q53247 |
End of preview.
Company Entities Dataset
Dataset of Companies and Homonymous Entities for Named Entity Linking
This dataset contains companies and homonymous entities (e.g., "Apple" as a company vs. fruit) with Wikidata QIDs and Wikipedia descriptions, designed for training named entity linking (NEL) systems.
License
company-entity.parquetis licensed under CC BY-SA 4.0, as it contains Wikipedia descriptions licensed under CC BY-SA 4.0assets/homonyms.csv,assets/licenses.csv,assets/aliases.csv,aliases.parquetandassets/companies.csvare all licensed under CC0 1.0- Code: MIT License.
Note
Descriptions downloaded on 2025-11-14 UTC+1.
Replicating
If you want to redownload the description:
WIKI_USER_AGENT="..." weasel run download # For format of USER_AGENT see https://foundation.wikimedia.org/wiki/Policy:Wikimedia_Foundation_User-Agent_Policy
weasel run check # should pass as long as you do not modify assets/*.csv files
Prepare aliases:
weasel run aliases
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