Restore v1.3.0 (revert weekly-cron v1.1 clobber + orphan shards)

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MANIFEST.json

@@ -1,61 +1,121 @@
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+  "dataset_version": "1.3.0",
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+  "generated_at": "2026-06-14T19:40:13Z",
   "qa": {
     "failure_count": 0,
-    "validation_status": "passed",
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+    "validation_status": "warnings",
+    "warning_count": 707
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-  "row_count": 450,
-  "schema_version": "1.2"
+  "row_count": 5850,
+  "schema_version": "1.3"
 }

README.md

@@ -3,7 +3,7 @@ language:
   - en
 license: cc-by-4.0
 size_categories:
-  - 1K<n<10K
+  - 1M<n<10M
 task_categories:
   - text-classification
   - feature-extraction
@@ -32,6 +32,10 @@ configs:
     data_files:
       - split: train
         path: "EP/jurisdiction=EP/filing_year=*/*.parquet"
+  - config_name: jp
+    data_files:
+      - split: train
+        path: "JP/jurisdiction=JP/filing_year=*/*.parquet"
   # v1.2 — sibling partition aggregating per-(ref_id, citing_jurisdiction)
   # citation counts. See "Cross-citation index" below.
   - config_name: prior_art_index
@@ -58,15 +62,32 @@ inventors and small teams.
 
 ## TL;DR
 
-- **5 011 rows** (v1.1.20260617): 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`
+- **5,807,285 rows** (v1.3.0): 5,000 US Office Actions (filing years
+  2011–2017) + **850 EP search reports** (filing years 2014–2022,
+  IPC-stratified across 23 buckets) + **5,801,435 JP rejection-notice
+  triples** (filing years 2002–2019, labels only)
+- **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
 - Schema: `(case_id, invention, examination, prior_art[], outcome,
   provenance)` — see [Schema](#schema) below
-- Two jurisdictions live (US, EP); JP gated on INPIT bulk
-  credential issuance
+- v1.2 additions: `prior_art[].categories[]` for multi-category
+  ST.14 splits (`XY` → `["X","Y"]`) + `prior_art_index` sibling
+  partition for cross-citation aggregation
+- v1.3 additions: `examination.legal_articles[]` carrying normalised
+  legal grounds, plus `prior_art[].severity_st14` / `severity_source`
+  providing per-reference WIPO ST.14 truth labels extracted from JPO
+  拒絶理由通知書 prose (JP slice only)
+- **Three jurisdictions live (US, EP, JP).** JP is the full 整理標準化
+  ISO lowering (filing years 2002–2019), 5,801,435 rejection-notice
+  triples. Per JPO 利用規約 第4条, JP rows publish **labels only**:
+  `examination.rejection_basis_text` is withheld (null), and only the
+  derived `severity_st14` + `legal_articles` are released. `severity_st14`
+  is present on the η-10-enriched apps; the rest carry the v1.2 `severity`
+  proxy (`severity_source="cited_type_proxy"`).
 - License: **CC-BY-4.0** on the curation; underlying patent
-  documents remain in the public domain
+  documents remain in the public domain — see the [License](#license)
+  section below
 - SHA-256 manifest at `MANIFEST.json` for byte-level
   reproducibility
 
@@ -75,14 +96,15 @@ inventors and small teams.
 ```python
 from datasets import load_dataset
 
-# Default config returns both jurisdictions (5 011 rows).
+# Default config returns all three jurisdictions (5,807,285 rows).
 ds = load_dataset("v13s/golden-fto-layer-a", split="train")
-print(len(ds))                           # 5011
+print(len(ds))                           # 5807285
 
 # 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, 11
+ds_jp = load_dataset("v13s/golden-fto-layer-a", "jp", split="train")
+print(len(ds_us), len(ds_ep), len(ds_jp))  # 5000, 850, 5801435
 
 row = ds[0]
 print(row["case_id"])                    # e.g. "US-13004847-0"
@@ -105,13 +127,13 @@ in the source repo.
 | Field | Type | Description |
 |---|---|---|
 | `case_id` | string | Stable id: `<jurisdiction>-<application_number>-<oa_seq>` |
-| `schema_version` | string | Per-row schema version (`1.0` legacy / `1.2` post-2026-05-07) |
-| `jurisdiction` | string | `US` or `EP`; `JP` in future versions |
-| `source_dataset` | string | `uspto_oard` (US rows) or `epo_ops` (EP rows) |
+| `schema_version` | string | Per-row schema version (`1.0` legacy / `1.2` post-2026-05-07 / `1.3` post-2026-06-04 with JP prose enrichment) |
+| `jurisdiction` | string | `US`, `EP`, or `JP` (v1.3+) |
+| `source_dataset` | string | `uspto_oard` (US rows), `epo_ops` (EP rows), or `jpo_bulk_iso_<YYYY>` (JP rows, v1.3+) |
 | `extracted_at` | timestamp[s, UTC] | When this row was emitted |
 | `invention` | struct | Application metadata — title, abstract, IPC/CPC codes, claims, applicant |
-| `examination` | struct | OA event — `oa_date`, `oa_type` ∈ {rejection, allowance, search_report}, `rejection_reasons[]`, `examiner_id` |
-| `prior_art` | list<struct> | Cited references — `ref_id`, `ref_type`, `source` (examiner/applicant), `rejection_basis`, `claims_blocked[]`, `severity`, `categories[]` (v1.2+), `metadata` |
+| `examination` | struct | OA event — `oa_date`, `oa_type` ∈ {rejection, allowance, search_report}, `rejection_reasons[]`, `examiner_id`, `rejection_basis_text` (v1.3+, JP only), `legal_articles[]` (v1.3+, JP only) |
+| `prior_art` | list<struct> | Cited references — `ref_id`, `ref_type`, `source` (examiner/applicant), `rejection_basis`, `claims_blocked[]`, `severity`, `categories[]` (v1.2+), `severity_st14` (v1.3+), `severity_source` (v1.3+), `metadata` |
 | `outcome` | struct | Final disposition — `final_disposition`, `disposition_date`, `granted_claims[]`, `amendments_made`, `decision_source` (v1.1+) |
 | `provenance` | struct | Audit trail — `parser_version`, `source_file`, `manifest_sha256`, `validation_status`, `validation_notes[]` |
 
@@ -153,6 +175,31 @@ 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`
@@ -192,6 +239,35 @@ keep the index sharded by which extractor produced it. To get a
 cross-jurisdiction view, union the partition or use the default
 config above which includes both.
 
+### JP prose enrichment (v1.3+)
+
+JP rows carry two examination-side and two prior-art-side fields the
+US and EP slices don't have, sourced from the JPO 特許情報取得API's
+拒絶理由通知書 endpoint and labelled by Claude Haiku 4.5:
+
+| Field | Type | Description |
+|---|---|---|
+| `examination.rejection_basis_text` | string \| null | Prose body of the OA notice verbatim from `<jp:drafting-body>` (typically 1-3 KB). `null` for non-JP rows and for JP rows the enrichment pipeline hasn't reached yet |
+| `examination.legal_articles` | list<string> | Article numbers cited as grounds for the rejection, normalised to halfwidth (`"第29条第1項"`, `"第29条の2"`). Empty for non-JP rows |
+| `prior_art[].severity_st14` | string \| null | Per-reference WIPO ST.14 category (`X`, `Y`, `A`, `E`, `O`, `P`, `T`, `L`) extracted from the prose. `null` when prose enrichment isn't available — consumers should fall back to the v1.2 `severity` proxy |
+| `prior_art[].severity_source` | string | `"cited_type_proxy"` (v1.2 derivation from cited_type, the default) or `"prose_extracted"` (Haiku 4.5 over the drafting-body prose). Lets consumers distinguish enriched rows from proxy rows even when `severity_st14` happens to be null |
+
+The proxy `severity` field stays populated on enriched rows for
+backward compat. Query pattern:
+
+```python
+ds_jp = load_dataset("v13s/golden-fto-layer-a", "jp", split="train")
+for row in ds_jp:
+    for ref in row["prior_art"]:
+        truth = ref["severity_st14"]   # WIPO ST.14, ground truth if present
+        if truth is None:
+            truth = ref["severity"]    # v1.2 proxy fallback
+```
+
+The enrichment pipeline runs against the JP slice incrementally
+(JPO API quota gates the rate), so `severity_st14` rolls in
+progressively across v1.3.x patch releases.
+
 ### Rejection reason codes
 
 Canonical 3-letter codes consistent across jurisdictions:
@@ -229,25 +305,38 @@ etc.) without breaking the schema.
    `rejection_*` boolean columns + the citation rows + the ODP
    metadata combine into a `LayerATriple` per OA event
 
-### EP slice (11 rows, new in v1.0.2)
+### EP slice (850 rows, v1.0.2 → v1.3 expansion)
 
-1. **EP publications list** curated from Espacenet IPC searches
-   (`G06F`, `H04L`, `A61K`), filing years 2014–2018
+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
 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
+   the table above and the full multi-character string split
+   into `categories[]` (v1.2)
 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"` (EP grants land in a separate legal-status
-   endpoint, planned for v1.1)
+   = "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
 
 ### Common steps (both slices)
 
@@ -267,19 +356,27 @@ The release runner is
 
 ## Known limitations
 
-- **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.
+- **Sample size**: 5,807,285 rows. The full OARD has 4 M+ Office
+  Actions; ramp-up to 50 K+ US rows is planned. The EP slice grew
+  11 → 850 (v1.0.2 → v1.3) 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.
 - **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 for v1.1).
-- **JP not yet shipped**: JP slice gated on INPIT bulk
-  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).
+  ODP call (planned).
+- **JP labels only**: Per JPO 利用規約 第4条,
+  `examination.rejection_basis_text` is withheld (null) in the public
+  release. Only the derived `severity_st14` + `legal_articles` fields
+  are published. `severity_st14` rolls in progressively as the η-10
+  enrichment pipeline processes apps; remaining rows carry the v1.2
+  `severity` proxy (`severity_source="cited_type_proxy"`).
 - **EP claim ranges**: The Register service embeds claim ranges
   in the citation's bibliographic text annotation (`[Y] 5,12`).
   v1.0.3+ extracts these into `prior_art[].claims_blocked`; legacy
@@ -289,13 +386,18 @@ 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. 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.
+  `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`.
 
 ## Versioning
 
@@ -310,7 +412,7 @@ 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="v1.1.20260617")
+ds = load_dataset("v13s/golden-fto-layer-a", revision="v1.3.0")
 ```
 
 ## Citation
@@ -324,7 +426,7 @@ If you use this dataset in academic work, please cite:
                   Freedom-to-Operate Evaluation},
   year         = 2026,
   publisher    = {Hugging Face},
-  version      = {{1.1.20260617}},
+  version      = {{1.3.0}},
   url          = {https://huggingface.co/datasets/v13s/golden-fto-layer-a},
   note         = {Curated under CC-BY-4.0; underlying patent
                   data in the public domain}
@@ -339,10 +441,16 @@ If you use this dataset in academic work, please cite:
 - **Underlying patent documents**: public domain (USPTO).
 - **OARD source data**: public domain (USPTO Office of the Chief
   Economist).
+- **JP slice (labels only)**: The JP corpus is derived from the JPO
+  整理標準化 ISO bulk data. Per JPO 利用規約 第4条,
+  `examination.rejection_basis_text` is withheld (null) in this public
+  release. Only derived labels (`severity_st14`, `legal_articles`) are
+  distributed. Consumers redistributing JP rows MUST attribute
+  "特許庁" as the upstream source and link this dataset's card.
 
 ## Contact
 
-- Curator: **Yoichiro Hara** (`taisei@vox.delivery`)
+- Curator: **Yoichiro Hara** (Co-Founder & CEO, Vox Technologies / Vox Japan株式会社) — `yo@vox.delivery`
 - Org: [Vox](https://huggingface.co/v13s) (HF: `v13s`)
 - Source repo: <https://github.com/masterleopold/parallax>
 - Issues: <https://github.com/masterleopold/parallax/issues>

prior_art_index/EP/index.parquet

@@ -1,3 +1,3 @@
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+size 669921