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Digital Commonwealth Collection Archive

This dataset is a bulk archive of collection-level JSONL exports derived from Digital Commonwealth record listings.

Why this exists:

  • Digital Commonwealth exposes rich record data, but not as a simple bulk-download page for all collections.
  • Repeatedly harvesting the public listing or API for every downstream use creates unnecessary load and requires thousands of requests.
  • This archive provides stable, reusable collection files so Museado and others can work from a local or mirrored copy instead of rebuilding the corpus each time.
  • Only records with reusable/public rights are archived here. Rows with explicit restricted reuse states such as contact host or all rights reserved are filtered out during archive creation.

Contents:

  • *.jsonl.gz: one gzip-compressed JSONL file per collection
  • datasets.jsonl: collection manifest with dataset keys, labels, archive filenames, counts, and source links
  • institutions.jsonl: institution-level summary manifest

Upstream:

Methodology:

  1. Harvest provider-wide listing pages from Digital Commonwealth.
  2. Parse each page into JSONL shards.
  3. Inspect the Digital Commonwealth field attributes.reuse_allowed_ssi for each record.
  4. Keep rows where reuse_allowed_ssi is missing, no restrictions, or creative commons.
  5. Exclude rows where reuse_allowed_ssi is explicitly restricted, including values such as contact host and all rights reserved.
  6. Split the remaining records by collection code.
  7. Write one compressed JSONL archive per collection.
  8. Emit datasets.jsonl and institutions.jsonl so downstream systems can bootstrap local datasets without refetching the global listing.

Filtering details:

  • Field inspected: attributes.reuse_allowed_ssi
  • Included values:
    • no restrictions
    • creative commons
    • missing / blank
  • Excluded values:
    • contact host
    • all rights reserved
    • any other explicit non-open reuse state

Typical downstream use:

  • mirror this archive
  • materialize local dataset directories
  • symlink each collection archive into 05_raw/obj.jsonl.gz
  • normalize and index from the local raw symlink

Bootstrap options:

  • Maintainers with the provider-wide listing pages can rebuild the archive locally with dc:global:archive.
  • Developers and production systems that do not have the listing-page source should start by fetching this published archive from Hugging Face, then materialize local datasets from datasets.jsonl with the symlink/bootstrap step.

Maintainer note: To refresh this archive from a fast connection, run:

bin/console dc:global:fetch
bin/console dc:global:archive
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