metadata
configs:
- config_name: companies
data_files:
- split: train
path: data/companies/parquet/*.parquet
- config_name: locations
data_files:
- split: train
path: data/locations/parquet/*.parquet
- config_name: people
data_files:
- split: train
path: data/people/parquet/*.parquet
OpenData Consortium
Three open datasets exported from the OpenData Consortium data platform.
| Config | Description | Primary format |
|---|---|---|
companies |
~103M global companies with firmographic attributes | Parquet |
locations |
~273M business locations with address and geo data | Parquet |
people |
~101M business contacts linked to companies | Parquet |
Usage
from datasets import load_dataset
companies = load_dataset("OpenDataFoundation/opendata", "companies")
locations = load_dataset("OpenDataFoundation/opendata", "locations")
people = load_dataset("OpenDataFoundation/opendata", "people")
Formats
Each entity is available in three formats under data/{entity}/{format}/:
- parquet — primary, gzip-compressed
- csv — gzip-compressed, with header row
- json — newline-delimited JSON, gzip-compressed