Provenance Erasure
Provenance meta-aggregator / Models and training data

Data Provenance Initiative

Models and training dataaudit collection and exploreractive
Data Provenance Initiative is a audit collection and explorer from the Data Provenance Initiative (volunteer effort; paper by Shayne Longpre and 16 other authors). The object it attaches provenance to: a fine-tuning dataset, traced through its collection to its sources.
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The Data Provenance Initiative is a multi-disciplinary volunteer effort to improve transparency, documentation, and responsible use of training datasets for AI.

In its own words: https://raw.githubusercontent.com/Data-Provenance-Initiative/Data-Provenance-Collection/main/README.md, read 2026-10-29

What it carries

What receives provenancea fine-tuning dataset, traced through its collection to its sources
Relations carriedderivation (source and lineage); creators; licences; subsequent use op
Carrieraudit metadata per dataset; a Data Provenance Card generated for a chosen subset op
Expresses · records · testsexpressesrecordstests
Operations testeddataset repackaging and hosting (licence carried or lost on hosting sites)
What survivedthe founding paper reports licence omission of 70%+ and error rates of 50%+ on widely used hosting sites op

op the operator's own statement · 3p a third-party account · obs our observation · rd our reading. Hover a tag for its quote; each opens below with its source.

Entity

Canonical nameData Provenance Initiative
Also known asData Provenance Explorer, Data Provenance Collection, Data Provenance Card
Addresshttps://www.dataprovenance.org/
Operatorthe Data Provenance Initiative (volunteer effort; paper by Shayne Longpre and 16 other authors)
Founded2023 (arXiv:2310.16787, v1 25 October 2023)
Kindaudit collection and explorer
Unita dataset within a collection
Lifecycleactive
Count44 data collections, 1800+ fine-tuning text-to-text datasets (first release) (as of the repository README) op
Data accessrepository scripts to filter and download; the Explorer (a JavaScript application, unreadable to a plain fetch)
Versions and datespaper v1: 2023-10-25; paper v3: 2023-11-04; read: 2026-10-29
Observation2026-10-29: read

Relations

Sibling record

Evidenceevery field's quote, its source and the hash of the saved copy7
Negative tagswhat it is not3
  • NOT legal advice (its own notice)
  • describing a collection does not establish which model used it
  • initiative, explorer and collection are distinct records
Sourcesevery source read, with its date and hash2
Not yet checkedwhat remains to read3
  • the Explorer itself (JavaScript)
  • the multimodal extension (arXiv:2412.17847)
  • data licence of the audit

Cite this record

Lee Sharks, ed. "Data Provenance Initiative." Provenance meta-aggregator, Provenance Erasure, compiled 2026-10-29. https://www.provenanceerasure.org/aggregators/data-provenance-initiative

Record https://www.provenanceerasure.org/aggregators/data-provenance-initiative · entity https://www.provenanceerasure.org/aggregators/data-provenance-initiative#entity · the census as data

@misc{pe-dataprovenanceinitiative2026,
  editor = {Sharks, Lee},
  title = {Data Provenance Initiative},
  howpublished = {Provenance meta-aggregator, Provenance Erasure},
  year = {2026},
  note = {Compiled 2026-10-29; every field sourced and dated},
  url = {https://www.provenanceerasure.org/aggregators/data-provenance-initiative}
}
Editor: Lee Sharks (ORCID 0009-0000-1599-0703). This page is the provenance meta-aggregator's record of the resource above: its reading and fields are ours, and each field carries its source, its basis and the hash of the copy read. Compiled 2026-10-29. CC BY 4.0.