Release v1.1.20260513 (Layer A)

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MANIFEST.json

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README.md

@@ -58,19 +58,13 @@ inventors and small teams.
 
 ## TL;DR
 
-- **5 450 rows** (v1.2.20260508-r2): 5 000 US Office Actions (filing years
-  2011–2017) + **450 EP search reports** (filing years 2014–2020,
-  IPC-stratified across 23 buckets)
-- **22 Parquet shards** in the cases partition, partitioned by
-  `jurisdiction × filing_year`, plus a `prior_art_index/<jurisdiction>/`
-  sibling partition (v1.2+) aggregating cross-citations
+- **5 011 rows** (v1.1.20260513): 5 000 US Office Actions (filing years
+  2011–2017) + 11 EP search reports (filing years 2014–2018)
+- **14 Parquet shards**, partitioned by `jurisdiction × filing_year`
 - Schema: `(case_id, invention, examination, prior_art[], outcome,
   provenance)` — see [Schema](#schema) below
-- v1.2 additions: `prior_art[].categories[]` for multi-category
-  ST.14 splits (`XY` → `["X","Y"]`) + `prior_art_index` sibling
-  partition for cross-citation aggregation
 - Two jurisdictions live (US, EP); JP gated on INPIT bulk
-  credential (申請 sent 2026-05-08)
+  credential issuance
 - License: **CC-BY-4.0** on the curation; underlying patent
   documents remain in the public domain
 - SHA-256 manifest at `MANIFEST.json` for byte-level
@@ -81,14 +75,14 @@ inventors and small teams.
 ```python
 from datasets import load_dataset
 
-# Default config returns both jurisdictions (5 450 rows).
+# Default config returns both jurisdictions (5 011 rows).
 ds = load_dataset("v13s/golden-fto-layer-a", split="train")
-print(len(ds))                           # 5450
+print(len(ds))                           # 5011
 
 # Per-jurisdiction configs are also available.
 ds_us = load_dataset("v13s/golden-fto-layer-a", "us", split="train")
 ds_ep = load_dataset("v13s/golden-fto-layer-a", "ep", split="train")
-print(len(ds_us), len(ds_ep))            # 5000, 450
+print(len(ds_us), len(ds_ep))            # 5000, 11
 
 row = ds[0]
 print(row["case_id"])                    # e.g. "US-13004847-0"
@@ -159,31 +153,6 @@ Jurisdictions whose source data doesn't expose ST.14 codes
 empty. Filter for `len(categories) > 0` to query only ST.14-
 exposed rows.
 
-**Query example — find multi-category citations** (citations
-where the examiner cited the same document under both novelty
-AND inventive-step grounds):
-
-```python
-from datasets import load_dataset
-
-ds_ep = load_dataset("v13s/golden-fto-layer-a", "ep", split="train")
-
-multi_cat_rows = []
-for row in ds_ep:
-    for ref in row["prior_art"]:
-        cats = set(ref["categories"])
-        if {"X", "Y"}.issubset(cats):
-            multi_cat_rows.append(
-                (row["case_id"], ref["ref_id"], ref["categories"])
-            )
-print(f"{len(multi_cat_rows)} XY-cited references in EP slice")
-# e.g. ("EP-3290023A1-0", "US10721059", ["X", "Y"])
-```
-
-Without `categories[]` (v1.0.x consumers) you'd see `severity =
-"novelty_destroying"` for every XY citation, indistinguishable
-from a pure-X citation.
-
 ### Cross-citation index (v1.2+)
 
 A sibling partition `prior_art_index/<jurisdiction>/index.parquet`
@@ -260,38 +229,25 @@ etc.) without breaking the schema.
    `rejection_*` boolean columns + the citation rows + the ODP
    metadata combine into a `LayerATriple` per OA event
 
-### EP slice (450 rows, v1.0.2 → v1.2 expansion)
+### EP slice (11 rows, new in v1.0.2)
 
-1. **EP publications list** auto-curated via IPC-stratified OPS
-   `published-data/search` queries across 23 (IPC, year-range)
-   buckets covering G06F (16/17/21/40), H04L67, H04W4, G06Q30,
-   G06N (3/20), G06V20, A61K (9/39/47), B60W30, B60K35, G05D1,
-   G01S17, C07K16, C12N15 — filing years 2014–2020. Quality gate
-   keeps only candidates with ≥ 1 search-phase reg:citation and
-   ≥ 3 claim-text entries
+1. **EP publications list** curated from Espacenet IPC searches
+   (`G06F`, `H04L`, `A61K`), filing years 2014–2018
 2. **OPS published-data full-cycle** for biblio + claims
    (epodoc/docdb format, kind-suffix fallback for older
    publications)
 3. **OPS Register service** (`/rest-services/register/publication/
    epodoc/{pub}/biblio`) for search-report citations — these
    carry the WIPO ST.14 category codes, mapped to `severity` via
-   the table above and the full multi-character string split
-   into `categories[]` (v1.2)
+   the table above
 4. **Two-endpoint merge per publication**: full-cycle gives the
    bibliographic context; the Register service gives the
    `prior_art[]` list. Filtered to `@cited-phase == "search"` to
    keep the high-signal X/Y/A subset
 5. **Triple construction** — same `LayerATriple` shape as the US
    slice; `oa_type = "search_report"`, `outcome.final_disposition
-   = "pending"` for EP rows (a separate legal-status enrichment
-   path resolves to `granted` / `lapsed_fee` / `withdrawn` in the
-   live Parallax agent's `priorArtReferences` table; the Layer A
-   public dataset keeps the conservative default)
-6. **Index reduction (v1.2)** — after the cases shards land, a
-   `build_index_for_staging` pass walks them once and writes the
-   `prior_art_index/EP/index.parquet` sibling partition with
-   per-(ref_id, citing_jurisdiction) `citation_count` +
-   `severity_distribution` aggregates
+   = "pending"` (EP grants land in a separate legal-status
+   endpoint, planned for v1.1)
 
 ### Common steps (both slices)
 
@@ -311,23 +267,18 @@ The release runner is
 
 ## Known limitations
 
-- **Sample size**: 5 450 rows. The full OARD has 4 M+ Office
-  Actions; ramp-up to 50 K+ US rows is planned alongside JP-slice
-  landing. The EP slice grew 11 → 450 (v1.0.2 → v1.2) via
-  IPC-stratified auto-curation; further expansion gated on OPS
-  `/claims` 413 attrition handling for long-claim publications.
-- **OPS `/claims` 413 attrition (EP curation)**: G06F16 / H04L67
-  publications with very long claim lists exceed OPS's
-  `/claims` payload size limit. The curation quality gate
-  currently drops these candidates rather than partial-fetching,
-  biasing the EP slice toward pharma/mechanical/control IPCs.
+- **Sample size**: 5 011 rows are a first cut. The full OARD has
+  4 M+ Office Actions; ramp-up to 50 K+ US rows in v1.1+ is
+  planned. The EP slice is intentionally small (11 publications)
+  to validate the OPS Register integration end-to-end before
+  scaling.
 - **Sparse claim text**: The ODP search endpoint returns
   bibliographic metadata (title, applicant, IPC) but not full
   claim text. Some rows have `invention.claims = []` or
   placeholder markers; full claim extraction needs a separate
-  ODP call (planned).
+  ODP call (planned for v1.1).
 - **JP not yet shipped**: JP slice gated on INPIT bulk
-  credential approval (申請 sent 2026-05-08); see
+  credential approval; see
   [docs/07-partnerships/inpit-bulk-data-application.md](https://github.com/masterleopold/parallax/blob/main/docs/07-partnerships/inpit-bulk-data-application.md).
 - **EP claim ranges**: The Register service embeds claim ranges
   in the citation's bibliographic text annotation (`[Y] 5,12`).
@@ -338,18 +289,13 @@ The release runner is
   while v1.2+ rows carry `schema_version="1.2"` and populated
   `categories[]` (when the source supports ST.14). Filter on
   `schema_version` if you need a single-version partition.
-- **US `prior_art_index` not yet populated**: The v1.2 sibling
-  index Parquet currently exists for EP only. US index lands on
-  the next US re-extract (next weekly cron, Wed 06:00 UTC).
 - **EP outcome field is conservative**: Without joining the OPS
   legal-status endpoint, `outcome.final_disposition` defaults to
-  `pending` for EP rows. The live Parallax agent resolves these
-  via a separate legal-status enrichment path; the public Layer
-  A dataset keeps the conservative default.
-- **US outcome field is conservative**: HUPD-derived outcome
-  enrichment provides `granted` / `rejected` / `pending` for
-  ~99 % of US rows (filing 2011-2017); rows beyond HUPD coverage
-  default to `pending`.
+  `pending` for EP rows. v1.1 will resolve to
+  `granted` / `rejected` / `withdrawn`.
+- **US outcome field is conservative**: Without joining USPTO
+  PEDS (Patent Examination Data System), the same defaulting
+  applies on the US slice.
 
 ## Versioning
 
@@ -364,7 +310,7 @@ The HuggingFace dataset repo's git history is the canonical
 release ledger. To pin a specific version in your code:
 
 ```python
-ds = load_dataset("v13s/golden-fto-layer-a", revision="v1.2.20260508-r2")
+ds = load_dataset("v13s/golden-fto-layer-a", revision="v1.1.20260513")
 ```
 
 ## Citation
@@ -378,7 +324,7 @@ If you use this dataset in academic work, please cite:
                   Freedom-to-Operate Evaluation},
   year         = 2026,
   publisher    = {Hugging Face},
-  version      = {{1.2.20260508-r2}},
+  version      = {{1.1.20260513}},
   url          = {https://huggingface.co/datasets/v13s/golden-fto-layer-a},
   note         = {Curated under CC-BY-4.0; underlying patent
                   data in the public domain}
@@ -396,7 +342,7 @@ If you use this dataset in academic work, please cite:
 
 ## Contact
 
-- Curator: **Yoichiro Hara** (Co-Founder & CEO, Vox Technologies / Vox Japan株式会社) — `yo@vox.delivery`
+- Curator: **Yoichiro Hara** (`taisei@vox.delivery`)
 - Org: [Vox](https://huggingface.co/v13s) (HF: `v13s`)
 - Source repo: <https://github.com/masterleopold/parallax>
 - Issues: <https://github.com/masterleopold/parallax/issues>

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