--- license: other tags: - vin - nhtsa - vpic - vehicle - database tables: - make - model - make_model - wmi - pattern - vehicletype - wmi_vinschema - vinexception - vinschema - manufacturer - country - drivetype - fueltype - bodystyle - transmission - enginemodel - enginemodelpattern - vspecschemapattern - vPIC_sqlite.db configs: - config_name: make data_files: - split: train path: make.parquet - config_name: model data_files: - split: train path: model.parquet - config_name: make_model data_files: - split: train path: make_model.parquet - config_name: wmi data_files: - split: train path: wmi.parquet - config_name: pattern data_files: - split: train path: pattern.parquet - config_name: vehicletype data_files: - split: train path: vehicletype.parquet - config_name: wmi_vinschema data_files: - split: train path: wmi_vinschema.parquet - config_name: vinexception data_files: - split: train path: vinexception.parquet - config_name: vinschema data_files: - split: train path: vinschema.parquet - config_name: manufacturer data_files: - split: train path: manufacturer.parquet - config_name: country data_files: - split: train path: country.parquet - config_name: drivetype data_files: - split: train path: drivetype.parquet - config_name: fueltype data_files: - split: train path: fueltype.parquet - config_name: bodystyle data_files: - split: train path: bodystyle.parquet - config_name: transmission data_files: - split: train path: transmission.parquet - config_name: enginemodel data_files: - split: train path: enginemodel.parquet - config_name: enginemodelpattern data_files: - split: train path: enginemodelpattern.parquet - config_name: vspecschemapattern data_files: - split: train path: vspecschemapattern.parquet --- # NHTSA vPIC Curated Vehicle Database Curated vehicle database derived from [NHTSA's vPIC](https://vpic.nhtsa.dot.gov/) data, optimized for VIN decoding via the [vin-decode-mcp](https://github.com/joakes90/vin-decode-mcp) server. ## Source Data sourced from the National Highway Traffic Safety Administration (NHTSA), an agency of the United States Department of Transportation. NHTSA is a government agency and the services provided are free for use by the public as part of their Open Data initiative. No API key or registration required. **[Download NHTSA vPIC standalone databases](https://vpic.nhtsa.dot.gov/Downloads/)** ## What's Included This is the **full vPIC SQLite database** with all NHTSA vehicle specification tables, including: | Category | Description | |---|---| | `make` | Vehicle manufacturers (~12,328) | | `model` | Vehicle models (~31,869) | | `vehicletype` | Vehicle type categories | | `make_model` | Make/model relationships | | `wmi` | World Manufacturer Identifiers (~12,971) | | `wmi_vinschema` | WMI to VIN schema mapping | | `pattern` | VIN descriptor patterns (~1.67M) | | `vinexception` | VIN exception rules (~18,805) | | `vinschema` | VIN schema definitions | | `model_years` | Production year ranges | | `engine_*` | Engine specifications (model, model, pattern, etc.) | | `body_*` | Body specifications (style, cab, type, etc.) | | `fuel_*` | Fuel specifications (type, delivery, tank, etc.) | | `safety_*` | Safety equipment (airbags, brakes, ABS, etc.) | | `battery_*` | Battery/electrification specs | | `transmission` | Transmission types | | `drivetype` | Drive types (FWD, RWD, AWD, etc.) | ## Database Stats - **Size**: ~627 MB - **Format**: SQLite (`.db`) - **Source vintage**: 2026-08 ## Dataset Viewer This dataset is available in the [Dataset Viewer](https://huggingface.co/docs/hub/datasets-viewer) with individual tables available as separate configurations (config dropdown at top right). Key tables are also exported as [Parquet](https://parquet.apache.org/) for fast browser-based browsing. ### Available Tables (Parquet exports) | Table | Config | Rows | Parquet Size | |---|---|---|---| | **make** | `make` | 12,328 | 0.3 MB | | **model** | `model` | 31,869 | 0.6 MB | | **make_model** | `make_model` | 31,869 | 0.6 MB | | **wmi** | `wmi` | 12,971 | 0.6 MB | | **pattern** | `pattern` | 1,674,161 | 28.6 MB | | **vehicletype** | `vehicletype` | 9 | <1 MB | | **wmi_vinschema** | `wmi_vinschema` | 41,708 | 0.7 MB | | **vinexception** | `vinexception` | 18,805 | 0.2 MB | | **vinschema** | `vinschema` | 25,149 | 1.4 MB | | **manufacturer** | `manufacturer` | 22,893 | 0.5 MB | | **country** | `country` | 199 | <1 MB | | **drivetype** | `drivetype` | 23 | <1 MB | | **fueltype** | `fueltype` | 14 | <1 MB | | **bodystyle** | `bodystyle` | 71 | <1 MB | | **transmission** | `transmission` | 12 | <1 MB | | **enginemodel** | `enginemodel` | 346 | <1 MB | | **enginemodelpattern** | `enginemodelpattern` | 2,510 | <1 MB | | **vspecschemapattern** | `vspecschemapattern` | 16,754 | 0.1 MB | ## Usage Download the `.db` file and use with the MCP server: ```bash export VIN_MCP_DB_PATH=/path/to/vPIC_sqlite.db vin-decode-mcp ``` Or query directly: ```python import sqlite3 conn = sqlite3.connect("vPIC_sqlite.db", uri=True) conn.row_factory = sqlite3.Row # List makes makes = conn.execute("SELECT * FROM make ORDER BY name").fetchall() ``` ## Refresh Frequency This database is rebuilt from NHTSA's standalone databases approximately every 6-12 months. Check the build timestamp in `dataset_info` for the source vintage. ## Attribution Vehicle data: [NHTSA vPIC](https://vpic.nhtsa.dot.gov/) Curated database pipeline: [vin-decode-mcp](https://github.com/joakes90/vin-decode-mcp)