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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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