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README.md
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| Config | Sample | Available |
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| `epo_patents` | 107 sections / 7 patents | 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` |
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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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qualifiers attached. `value_type` distinguishes entity references from strings, quantities,
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times, coordinates, and monolingual text.
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## personas
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| Config | Sample | Available |
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| `epo_patents` | 107 sections / 7 patents | 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 subjects | 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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qualifiers attached. `value_type` distinguishes entity references from strings, quantities,
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times, coordinates, and monolingual text.
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Rows are ordered so that every statement about the same entity is contiguous — reading
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sequentially yields whole entities (median 22 statements each) rather than scattered triples.
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This is a **curated seed** rather than a raw dump: database cross-reference properties (external
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identifiers such as Commons category, VIAF, GeoNames, Freebase) are removed, as are
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Wikimedia-internal subjects (categories, templates, disambiguation pages) and auto-generated
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numeric items. Unit references inside quantity values are resolved to labels. Cleaning retains
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61% of source rows.
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## personas
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