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Upload README.md with huggingface_hub

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@@ -22,7 +22,7 @@ Volumes below describe what is available beyond these samples.
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  | Config | Sample | Available |
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  |---|---|---|
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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` | 2M triples / 849k 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
@@ -49,11 +49,14 @@ Wikidata statements parsed into subject-property-value triples with labels resol
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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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- This sample is drawn across shards spread through the corpus and shuffled. It is a **curated
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- seed** rather than a raw dump: database cross-reference properties (external identifiers such as
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- Commons category, VIAF, GeoNames, Freebase) are removed, as are Wikimedia-internal subjects
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- (categories, templates, disambiguation pages) and auto-generated numeric items. Unit references
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- inside quantity values are resolved to labels. Cleaning retains ~73% of source rows.
 
 
 
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  ## personas
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  | Config | Sample | Available |
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  |---|---|---|
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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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+
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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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