Datasets:
v1.2 cross-citation index + categories[] field — feedback wanted
v1.2 lands two structural additions over v1.0.x — looking for
schema feedback before we lock these into the LTS contract:
categories[]on each prior_art row. A multi-category
EP citation likeXY(examiner saying "this doc challenges
both novelty AND inventive step") used to collapse into the
singleseverityenum, silently dropping the Y dimension.
v1.2 preserves the raw signal:categories=["X", "Y"]for XY,["X", "Y", "I"]for XYI.severitystays as the dominant-
component summary for backwards compat.prior_art_index/<jurisdiction>/index.parquetsibling
partition. When 2 EP search reports cite the same prior-art
doc (e.g. EP3290023 + EP4621049 both citing US10721059), the
ref_id appears as 2 rows in the cases partition. The new index
pre-computes per-(ref_id, citing_jurisdiction) aggregates with
citation_count + severity_distribution + first/last_cited_date
so consumers can ask "how often was doc X cited as prior art
across EP examinations" without walking the cases partition.
Open questions where outside perspective would help:
- Order in
categories[]: alphabetical (current) or
examiner-cited-order? We have no signal on dominance order
beyond convention. - Index partition jurisdiction key:
(ref_id, citing_juris)
preserves "how often did EP examiners cite X" but requires a
consumer-side join to get global counts. Should we add a global
partition too? - JP slice landing (κ-5 INPIT bulk): JP native codes 31/32/33
→ translate to ST.14 X/Y/A in the extractor for cross-juris
comparability, OR keep raw codes incategorieswith a
separate translation table?
Schema bumps are SemVer-MAJOR so they're deliberate, not casual —
v1.2 design doc:
https://github.com/masterleopold/parallax/blob/main/docs/06-evaluation/schema-v1-2-design.md