Datasets:

NODARISHUB
/

mx-vehicle-catalog

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 2 new columns ({'trim_count', 'trims'}) and 1 missing columns ({'trim'}).

This happened while the csv dataset builder was generating data using

hf://datasets/NODARISHUB/mx-vehicle-catalog/data/mx_vehicle_models.csv (at revision 4745c560fb052e5dc2eea4b8bd1a1fd0ff5c6ac1), ['hf://datasets/NODARISHUB/mx-vehicle-catalog@4745c560fb052e5dc2eea4b8bd1a1fd0ff5c6ac1/data/mx_vehicle_catalog.csv', 'hf://datasets/NODARISHUB/mx-vehicle-catalog@4745c560fb052e5dc2eea4b8bd1a1fd0ff5c6ac1/data/mx_vehicle_models.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
              category_slug: string
              category: string
              brand: string
              model: string
              body_type: string
              year_start: int64
              year_end: int64
              trim_count: int64
              trims: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1317
              to
              {'category_slug': Value('string'), 'category': Value('string'), 'brand': Value('string'), 'model': Value('string'), 'body_type': Value('string'), 'year_start': Value('int64'), 'year_end': Value('int64'), 'trim': 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 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 2 new columns ({'trim_count', 'trims'}) and 1 missing columns ({'trim'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/NODARISHUB/mx-vehicle-catalog/data/mx_vehicle_models.csv (at revision 4745c560fb052e5dc2eea4b8bd1a1fd0ff5c6ac1), ['hf://datasets/NODARISHUB/mx-vehicle-catalog@4745c560fb052e5dc2eea4b8bd1a1fd0ff5c6ac1/data/mx_vehicle_catalog.csv', 'hf://datasets/NODARISHUB/mx-vehicle-catalog@4745c560fb052e5dc2eea4b8bd1a1fd0ff5c6ac1/data/mx_vehicle_models.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.

category_slug string	category string	brand string	model string	body_type string	year_start int64	year_end int64	trim string
autos-camionetas	Autos y Camionetas	Acura	ILX	sedan	2,014	2,022	ILX
autos-camionetas	Autos y Camionetas	Acura	ILX	sedan	2,014	2,022	ILX Tech
autos-camionetas	Autos y Camionetas	Acura	TLX	sedan	2,014	2,020	TLX 2.4
autos-camionetas	Autos y Camionetas	Acura	TLX	sedan	2,014	2,020	TLX 3.5 V6
autos-camionetas	Autos y Camionetas	Acura	TLX	sedan	2,014	2,020	TLX Advance
autos-camionetas	Autos y Camionetas	Acura	TLX	sedan	2,014	2,020	TLX A-Spec
autos-camionetas	Autos y Camionetas	Acura	RLX	sedan	2,014	2,018	RLX 3.5
autos-camionetas	Autos y Camionetas	Acura	RLX	sedan	2,014	2,018	RLX Advance
autos-camionetas	Autos y Camionetas	Acura	RLX	sedan	2,014	2,018	RLX Sport Hybrid
autos-camionetas	Autos y Camionetas	Acura	RDX	suv	2,014	2,026	RDX Tech
autos-camionetas	Autos y Camionetas	Acura	RDX	suv	2,014	2,026	RDX A-Spec
autos-camionetas	Autos y Camionetas	Acura	RDX	suv	2,014	2,026	RDX Advance
autos-camionetas	Autos y Camionetas	Acura	MDX	suv	2,014	2,026	MDX Tech
autos-camionetas	Autos y Camionetas	Acura	MDX	suv	2,014	2,026	MDX A-Spec
autos-camionetas	Autos y Camionetas	Acura	MDX	suv	2,014	2,026	MDX Advance
autos-camionetas	Autos y Camionetas	Acura	MDX	suv	2,014	2,026	MDX Type S
autos-camionetas	Autos y Camionetas	Acura	ADX	suv	2,025	2,026	ADX Advance
autos-camionetas	Autos y Camionetas	Acura	ADX	suv	2,025	2,026	ADX A-Spec
autos-camionetas	Autos y Camionetas	Acura	Integra	sedan	2,023	2,026	Integra A-Spec
autos-camionetas	Autos y Camionetas	Acura	Integra	sedan	2,023	2,026	Integra Type S
autos-camionetas	Autos y Camionetas	Acura	NSX	deportivo	2,017	2,022	NSX
autos-camionetas	Autos y Camionetas	Acura	NSX	deportivo	2,017	2,022	NSX Type S
autos-camionetas	Autos y Camionetas	Alfa Romeo	Giulietta	hatchback	2,014	2,018	Progression
autos-camionetas	Autos y Camionetas	Alfa Romeo	Giulietta	hatchback	2,014	2,018	Distinctive
autos-camionetas	Autos y Camionetas	Alfa Romeo	Giulietta	hatchback	2,014	2,018	Veloce
autos-camionetas	Autos y Camionetas	Alfa Romeo	Giulietta	hatchback	2,014	2,018	Quadrifoglio Verde
autos-camionetas	Autos y Camionetas	Alfa Romeo	MiTo	hatchback	2,014	2,018	Progression
autos-camionetas	Autos y Camionetas	Alfa Romeo	MiTo	hatchback	2,014	2,018	Distinctive
autos-camionetas	Autos y Camionetas	Alfa Romeo	MiTo	hatchback	2,014	2,018	Veloce
autos-camionetas	Autos y Camionetas	Alfa Romeo	MiTo	hatchback	2,014	2,018	Quadrifoglio Verde
autos-camionetas	Autos y Camionetas	Alfa Romeo	4C	coupe	2,015	2,019	4C
autos-camionetas	Autos y Camionetas	Alfa Romeo	4C	coupe	2,015	2,019	4C Launch Edition
autos-camionetas	Autos y Camionetas	Alfa Romeo	4C Spider	convertible	2,016	2,020	4C Spider
autos-camionetas	Autos y Camionetas	Alfa Romeo	Giulia	sedan	2,017	2,026	Sprint
autos-camionetas	Autos y Camionetas	Alfa Romeo	Giulia	sedan	2,017	2,026	Ti
autos-camionetas	Autos y Camionetas	Alfa Romeo	Giulia	sedan	2,017	2,026	Veloce
autos-camionetas	Autos y Camionetas	Alfa Romeo	Giulia	sedan	2,017	2,026	Quadrifoglio
autos-camionetas	Autos y Camionetas	Alfa Romeo	Stelvio	suv	2,018	2,026	Ti
autos-camionetas	Autos y Camionetas	Alfa Romeo	Stelvio	suv	2,018	2,026	Sprint
autos-camionetas	Autos y Camionetas	Alfa Romeo	Stelvio	suv	2,018	2,026	Veloce
autos-camionetas	Autos y Camionetas	Alfa Romeo	Stelvio	suv	2,018	2,026	Quadrifoglio
autos-camionetas	Autos y Camionetas	Alfa Romeo	Tonale	suv	2,023	2,026	Sprint
autos-camionetas	Autos y Camionetas	Alfa Romeo	Tonale	suv	2,023	2,026	Ti
autos-camionetas	Autos y Camionetas	Alfa Romeo	Tonale	suv	2,023	2,026	Ti Plus
autos-camionetas	Autos y Camionetas	Alfa Romeo	Tonale	suv	2,023	2,026	Veloce
autos-camionetas	Autos y Camionetas	Alfa Romeo	Tonale	suv	2,023	2,026	Hibrido Enchufable (PHEV Q4)
autos-camionetas	Autos y Camionetas	Alfa Romeo	Junior	suv	2,026	2,026	Ti
autos-camionetas	Autos y Camionetas	Alfa Romeo	Junior	suv	2,026	2,026	Ti Performance
autos-camionetas	Autos y Camionetas	Audi	A1	hatchback	2,011	2,022	Cool
autos-camionetas	Autos y Camionetas	Audi	A1	hatchback	2,011	2,022	Ego
autos-camionetas	Autos y Camionetas	Audi	A1	hatchback	2,011	2,022	Urban
autos-camionetas	Autos y Camionetas	Audi	A1	hatchback	2,011	2,022	Sportback
autos-camionetas	Autos y Camionetas	Audi	A1	hatchback	2,011	2,022	S line
autos-camionetas	Autos y Camionetas	Audi	A1	hatchback	2,011	2,022	40 TFSI
autos-camionetas	Autos y Camionetas	Audi	A3	sedan	2,007	2,026	Attraction
autos-camionetas	Autos y Camionetas	Audi	A3	sedan	2,007	2,026	Ambiente
autos-camionetas	Autos y Camionetas	Audi	A3	sedan	2,007	2,026	Dynamic
autos-camionetas	Autos y Camionetas	Audi	A3	sedan	2,007	2,026	S line
autos-camionetas	Autos y Camionetas	Audi	A3	sedan	2,007	2,026	35 TFSI
autos-camionetas	Autos y Camionetas	Audi	A3	sedan	2,007	2,026	40 TFSI
autos-camionetas	Autos y Camionetas	Audi	A3	sedan	2,007	2,026	Sedan
autos-camionetas	Autos y Camionetas	Audi	A3	sedan	2,007	2,026	Sportback
autos-camionetas	Autos y Camionetas	Audi	S3	sedan	2,014	2,026	Sedan
autos-camionetas	Autos y Camionetas	Audi	S3	sedan	2,014	2,026	Sportback
autos-camionetas	Autos y Camionetas	Audi	S3	sedan	2,014	2,026	2.0 TFSI quattro
autos-camionetas	Autos y Camionetas	Audi	RS3	sedan	2,018	2,026	Sedan
autos-camionetas	Autos y Camionetas	Audi	RS3	sedan	2,018	2,026	Sportback
autos-camionetas	Autos y Camionetas	Audi	RS3	sedan	2,018	2,026	2.5 TFSI quattro
autos-camionetas	Autos y Camionetas	Audi	A4	sedan	1,996	2,024	Attraction
autos-camionetas	Autos y Camionetas	Audi	A4	sedan	1,996	2,024	Ambiente
autos-camionetas	Autos y Camionetas	Audi	A4	sedan	1,996	2,024	Dynamic
autos-camionetas	Autos y Camionetas	Audi	A4	sedan	1,996	2,024	S line
autos-camionetas	Autos y Camionetas	Audi	A4	sedan	1,996	2,024	35 TFSI
autos-camionetas	Autos y Camionetas	Audi	A4	sedan	1,996	2,024	40 TFSI
autos-camionetas	Autos y Camionetas	Audi	A4	sedan	1,996	2,024	45 TFSI quattro
autos-camionetas	Autos y Camionetas	Audi	A4	sedan	1,996	2,024	Allroad
autos-camionetas	Autos y Camionetas	Audi	S4	sedan	2,004	2,024	3.0 TFSI quattro
autos-camionetas	Autos y Camionetas	Audi	S4	sedan	2,004	2,024	S line
autos-camionetas	Autos y Camionetas	Audi	A5	coupe	2,008	2,026	Coupe
autos-camionetas	Autos y Camionetas	Audi	A5	coupe	2,008	2,026	Sportback
autos-camionetas	Autos y Camionetas	Audi	A5	coupe	2,008	2,026	Cabriolet
autos-camionetas	Autos y Camionetas	Audi	A5	coupe	2,008	2,026	S line
autos-camionetas	Autos y Camionetas	Audi	A5	coupe	2,008	2,026	40 TFSI
autos-camionetas	Autos y Camionetas	Audi	A5	coupe	2,008	2,026	45 TFSI quattro
autos-camionetas	Autos y Camionetas	Audi	S5	coupe	2,008	2,026	Coupe
autos-camionetas	Autos y Camionetas	Audi	S5	coupe	2,008	2,026	Sportback
autos-camionetas	Autos y Camionetas	Audi	S5	coupe	2,008	2,026	Cabriolet
autos-camionetas	Autos y Camionetas	Audi	S5	coupe	2,008	2,026	3.0 TFSI quattro
autos-camionetas	Autos y Camionetas	Audi	RS5	coupe	2,011	2,026	Coupe
autos-camionetas	Autos y Camionetas	Audi	RS5	coupe	2,011	2,026	Sportback
autos-camionetas	Autos y Camionetas	Audi	RS5	coupe	2,011	2,026	2.9 TFSI quattro
autos-camionetas	Autos y Camionetas	Audi	A6	sedan	1,998	2,024	Elite
autos-camionetas	Autos y Camionetas	Audi	A6	sedan	1,998	2,024	S line
autos-camionetas	Autos y Camionetas	Audi	A6	sedan	1,998	2,024	45 TFSI
autos-camionetas	Autos y Camionetas	Audi	A6	sedan	1,998	2,024	55 TFSI quattro
autos-camionetas	Autos y Camionetas	Audi	A6	sedan	1,998	2,024	Allroad
autos-camionetas	Autos y Camionetas	Audi	S6	sedan	2,007	2,023	4.0 TFSI quattro
autos-camionetas	Autos y Camionetas	Audi	S6	sedan	2,007	2,023	S line
autos-camionetas	Autos y Camionetas	Audi	RS6	sedan	2,014	2,026	Avant
autos-camionetas	Autos y Camionetas	Audi	RS6	sedan	2,014	2,026	4.0 TFSI quattro

End of preview.

Mexico Vehicle Catalog Reference — Makes, Models & Trims

A structured reference taxonomy of vehicles sold or commonly listed in the Mexican market: 112 brands, 3,011 model entries, 8,380 named trims/versions across 8 categories (Autos y Camionetas, Motos, Vehículos Pesados, Camiones, Otros Vehículos, Autos de Colección, Náutica, Colectivos y Autobuses).

Each model entry includes its production year range and body type; each row in the fine-grained file is a single named trim/version.

📇 Curated and maintained by: Arcade Motors MX — arcademotorsmx.com, a free classifieds marketplace for buying and selling vehicles in Mexico. This taxonomy is the same reference data that powers the site's category → brand → model → trim cascading search and listing forms.

Files

File	Rows	Description
`data/mx_vehicle_catalog.csv`	8,380	One row per named trim/version
`data/mx_vehicle_models.csv`	3,011	One row per model (trims joined in one column)

Columns

category_slug, category — one of 8 top-level vehicle categories
brand — manufacturer (e.g. "Acura", "Honda")
model — model name (e.g. "TLX")
body_type — body style (e.g. "sedan", "suv", "pickup")
year_start, year_end — production year range for that model generation
trim (versions file) / trims (models file) — named trim/version(s), e.g. "TLX 3.5 V6", "TLX Advance"
trim_count (models file only) — number of trims for that model

Intended use

Reference/lookup taxonomy for vehicle classification, cascading form autocomplete, listing normalization, and market-coverage analysis for the Mexican automotive market. Not a pricing or sales dataset — no listing prices, mileage, or seller data are included.

Provenance

Compiled as a factual reference structure (brand/model/trim/year-range/body type), not scraped from any marketplace. Values reflect publicly known vehicle nomenclature for the years indicated.

License

Released under CC-BY-4.0. Please attribute this compilation when you reuse it.

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Total file size:

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