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README.md
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| Config | Sample | Available |
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| `epo_patents` |
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| `wikidata_seed` | 1.45M triples / 42k
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| `personas` | 100k personas / 108 countries | 57.3M personas |
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More configs to follow: financial regulation (24 regulators, 12+ jurisdictions), 3GPP
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European Patent Office publications, processed from PDF with structure preserved. One row per
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document **section**, with document metadata repeated on each row (`document_id` regroups them).
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Composition notes: bibliographic front pages, figure lists, and boilerplate disclaimers are
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removed; paragraphs are reassembled across column and page breaks; margin line-numbering is
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dropped. Citation lists are kept but flagged (`is_document_list`) rather than deleted, since
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they carry citation structure. Bibliographic fields come from the document itself (INID codes),
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so `identifier` is the publication number and supplementary fields sit in `metadata` as JSON
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(`application_number`, `filing_date`, `ipc`, `inventors`, `kind_code`, `grant_or_prior_date`
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`date` is the publication year.
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## wikidata_seed
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| Config | Sample | Available |
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| `epo_patents` | 5,000 patents / 72,662 sections / 102M tokens, with source PDFs | 1.08M patents processed (2020-2025); 8.25M-document full-text backfile 1978-2025 (5.49M with description/claims, ~48B words) |
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| `wikidata_seed` | 1.45M triples / 42k entities | 558M triples, ~34.5 GB |
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| `personas` | 100k personas / 108 countries | 57.3M personas |
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More configs to follow: financial regulation (24 regulators, 12+ jurisdictions), 3GPP
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European Patent Office publications, processed from PDF with structure preserved. One row per
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document **section**, with document metadata repeated on each row (`document_id` regroups them).
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5,000 patents evenly spread across 2020-2025.
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Composition notes: bibliographic front pages, figure lists, and boilerplate disclaimers are
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removed; paragraphs are reassembled across column and page breaks; margin line-numbering is
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dropped. Citation lists are kept but flagged (`is_document_list`) rather than deleted, since
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they carry citation structure. Bibliographic fields come from the document itself (INID codes),
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so `identifier` is the publication number and supplementary fields sit in `metadata` as JSON
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(`application_number`, `filing_date`, `ipc`, `inventors`, `kind_code`, `grant_or_prior_date`,
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`source_file`).
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`date` is the publication year. Some documents are republications after opposition, where the
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original grant year differs — that year is preserved in `metadata`.
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### Source PDFs
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`epo_patents/pdfs/epo_pdfs_<year>.tar` (6 files, 3.83 GB total) hold the original PDF for every
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patent in the config. Tar members are named by **publication number** — `2023/EP1343809B2.pdf` —
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so they join directly to `document_id`, even though the files as distributed by the EPO are named
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by application number. `epo_patents/epo_5k_pdf_manifest.parquet` maps
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`document_id -> tar, member, source_file, bytes`.
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This pairs each processed text with the page images it came from, for evaluating extraction
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quality or for document-understanding training.
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## wikidata_seed
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