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overture-sources

PyPI Test Python Python 3.11+ License: MIT

Overture source registry: the JSON files describing the datasets that feed each theme.

from overture_sources import load_sources, theme_names

theme_names()  # ["addresses", "base", ...]
load_sources("places")  # parsed overture_sources/places.json

Concepts

  • Theme: a top-level Overture data category, such as places or buildings. There is one file per theme, plus property_descriptions. See the Overture schema documentation for what each theme contains.
  • Source: an organization whose data contributes to a theme.
  • Dataset: one specific collection of data from a source. Its dataset_name is the value that appears as dataset in a feature's sources property in Overture data.

Each theme file has a datasets list, with one entry per source and dataset pair, plus a license_priority mapping of license identifiers to a priority rank. An entry records the dataset's license, attribution, coverage, refresh cadence and the date it was first used in the theme. property_descriptions.json documents every field.

For the attribution and license terms as published with each release, see the Overture attribution page.

Metadata

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