Datasets:
Release v1.0.2 (Layer A)
Browse files
README.md
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- fto
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- office-action
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- uspto
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- intellectual-property
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- legal-nlp
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pretty_name: "Layer A — Office Action Triples for FTO Eval"
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configs:
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- config_name: default
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data_files:
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- split: train
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path: "US/jurisdiction=US/filing_year=*/*.parquet"
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---
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# Layer A — Office Action Triples for FTO Evaluation
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A public dataset of `(invention → cited prior art → outcome)` triples
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extracted from the **USPTO Office Action Research Dataset (OARD)**
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-
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[Parallax](https://parallax.3mergen.com), an AI-native Freedom-to-
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Operate (FTO) and defensive-publication platform for individual
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inventors and small teams.
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## TL;DR
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- **5
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- Schema: `(case_id, invention, examination, prior_art[], outcome,
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provenance)` — see [Schema](#schema) below
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-
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credential issuance
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- License: **CC-BY-4.0** on the curation; underlying patent
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documents remain in the public domain
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```python
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from datasets import load_dataset
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ds = load_dataset("v13s/golden-fto-layer-a", split="train")
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print(len(ds)) #
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row = ds[0]
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print(row["case_id"]) # e.g. "US-13004847-0"
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print(row["invention"]["title"]) # "SYSTEM AND METHOD FOR ..."
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print(row["examination"]["oa_type"]) # "rejection"
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print(row["examination"]["rejection_reasons"]) # ["obviousness_103"]
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for ref in row["prior_art"]:
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print(ref["ref_id"], ref["severity"])
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#
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```
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## Schema
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| Field | Type | Description |
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|---|---|---|
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| `case_id` | string | Stable id: `<jurisdiction>-<application_number>-<oa_seq>` |
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| `schema_version` | string | Per-row schema version (`1.0`
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| `jurisdiction` | string | `US`
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| `source_dataset` | string | `uspto_oard` |
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| `extracted_at` | timestamp[s, UTC] | When this row was emitted |
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| `invention` | struct | Application metadata — title, abstract, IPC/CPC codes, claims, applicant |
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| `examination` | struct | OA event — `oa_date`, `oa_type` ∈ {rejection, allowance, search_report}, `rejection_reasons[]`, `examiner_id` |
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### Severity enum (`prior_art[].severity`)
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jurisdictions:
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| Severity |
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|---|---|---|
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| `novelty_destroying` |
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| `obviousness` |
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| `background` |
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### Rejection reason codes
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## How was this built?
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1. **OARD bulk download** (the 4M-row USPTO Office Action
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Research Dataset, frozen at the 2017 release): manually
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browser-downloaded from
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5. **Triple construction** — the OARD's pre-classified
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`rejection_*` boolean columns + the citation rows + the ODP
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metadata combine into a `LayerATriple` per OA event
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6. **Validation**: every row passes a linking validator that
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checks temporal sanity (cited prior art filed before the
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invention), severity coherence (novelty-destroying citations
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## Known limitations
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- **Sample size**: 5
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planned.
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- **Sparse claim text**: The ODP search endpoint returns
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bibliographic metadata (title, applicant, IPC) but not full
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claim text. Some rows have `invention.claims = []` or
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placeholder markers; full claim extraction needs a separate
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ODP call (planned for v1.1).
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- **
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## Versioning
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Freedom-to-Operate Evaluation},
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year = 2026,
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publisher = {Hugging Face},
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version = {1.0},
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url = {https://huggingface.co/datasets/v13s/golden-fto-layer-a},
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note = {Curated under CC-BY-4.0; underlying patent
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data in the public domain}
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- fto
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- office-action
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- uspto
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+
- epo
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- multi-jurisdiction
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- intellectual-property
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- legal-nlp
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pretty_name: "Layer A — Office Action Triples for FTO Eval"
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configs:
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- config_name: default
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data_files:
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- split: train
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path: "**/jurisdiction=*/filing_year=*/*.parquet"
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- config_name: us
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data_files:
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- split: train
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path: "US/jurisdiction=US/filing_year=*/*.parquet"
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- config_name: ep
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data_files:
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- split: train
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path: "EP/jurisdiction=EP/filing_year=*/*.parquet"
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---
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# Layer A — Office Action Triples for FTO Evaluation
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A public dataset of `(invention → cited prior art → outcome)` triples
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extracted from the **USPTO Office Action Research Dataset (OARD)**
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+ **USPTO Open Data Portal (ODP)** API (US slice) and the **EPO
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Open Patent Services (OPS)** Register service (EP slice). Built as
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the agent-evaluation substrate for
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[Parallax](https://parallax.3mergen.com), an AI-native Freedom-to-
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Operate (FTO) and defensive-publication platform for individual
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inventors and small teams.
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## TL;DR
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- **5 011 rows** (v1.0.2): 5 000 US Office Actions (filing years
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2011–2017) + 11 EP search reports (filing years 2014–2018)
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- **14 Parquet shards**, partitioned by `jurisdiction × filing_year`
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- Schema: `(case_id, invention, examination, prior_art[], outcome,
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provenance)` — see [Schema](#schema) below
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- Two jurisdictions live (US, EP); JP gated on INPIT bulk
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credential issuance
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- License: **CC-BY-4.0** on the curation; underlying patent
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documents remain in the public domain
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```python
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from datasets import load_dataset
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# Default config returns both jurisdictions (5 011 rows).
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ds = load_dataset("v13s/golden-fto-layer-a", split="train")
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print(len(ds)) # 5011
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# Per-jurisdiction configs are also available.
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ds_us = load_dataset("v13s/golden-fto-layer-a", "us", split="train")
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ds_ep = load_dataset("v13s/golden-fto-layer-a", "ep", split="train")
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print(len(ds_us), len(ds_ep)) # 5000, 11
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row = ds[0]
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print(row["case_id"]) # e.g. "US-13004847-0"
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print(row["invention"]["title"]) # "SYSTEM AND METHOD FOR ..."
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print(row["examination"]["oa_type"]) # "rejection" | "search_report"
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print(row["examination"]["rejection_reasons"]) # ["obviousness_103"]
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for ref in row["prior_art"]:
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print(ref["ref_id"], ref["severity"])
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# US: "US9123456B2", "obviousness"
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# EP: "US6825941", "novelty_destroying"
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```
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## Schema
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| Field | Type | Description |
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|---|---|---|
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| `case_id` | string | Stable id: `<jurisdiction>-<application_number>-<oa_seq>` |
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| `schema_version` | string | Per-row schema version (`1.0` — schema unchanged in v1.0.2) |
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| `jurisdiction` | string | `US` or `EP`; `JP` in future versions |
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| `source_dataset` | string | `uspto_oard` (US rows) or `epo_ops` (EP rows) |
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| `extracted_at` | timestamp[s, UTC] | When this row was emitted |
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| `invention` | struct | Application metadata — title, abstract, IPC/CPC codes, claims, applicant |
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| `examination` | struct | OA event — `oa_date`, `oa_type` ∈ {rejection, allowance, search_report}, `rejection_reasons[]`, `examiner_id` |
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### Severity enum (`prior_art[].severity`)
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A 3-value severity enum that downstream consumers can join across
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jurisdictions. Each jurisdiction has its own source signal:
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| Severity | US (OARD signal) | EP (WIPO ST.14 search-report category) |
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|---|---|---|
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| `novelty_destroying` | `rejection_102=1` AND `citation_in_oa=1` | `X` or `E` (incl. multi-char `XY`, `XYI`) |
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| `obviousness` | `rejection_103=1` AND `citation_in_oa=1` | `Y` |
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| `background` | otherwise (PTO-892, PTO-1449 IDS) | `A`, `P`, `D`, `T`, `L`, `O`, `I` |
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The EP search-report category sometimes concatenates multiple
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codes (e.g. `"XY"` means the citation is BOTH novelty-relevant AND
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obviousness-relevant). The lowering preserves the raw string and
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the extractor maps the most-severe component to `severity`.
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### Rejection reason codes
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## How was this built?
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### US slice (5 000 rows)
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1. **OARD bulk download** (the 4M-row USPTO Office Action
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Research Dataset, frozen at the 2017 release): manually
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browser-downloaded from
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5. **Triple construction** — the OARD's pre-classified
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`rejection_*` boolean columns + the citation rows + the ODP
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metadata combine into a `LayerATriple` per OA event
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+
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### EP slice (11 rows, new in v1.0.2)
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1. **EP publications list** curated from Espacenet IPC searches
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(`G06F`, `H04L`, `A61K`), filing years 2014–2018
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2. **OPS published-data full-cycle** for biblio + claims
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(epodoc/docdb format, kind-suffix fallback for older
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publications)
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3. **OPS Register service** (`/rest-services/register/publication/
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epodoc/{pub}/biblio`) for search-report citations — these
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carry the WIPO ST.14 category codes, mapped to `severity` via
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the table above
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4. **Two-endpoint merge per publication**: full-cycle gives the
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bibliographic context; the Register service gives the
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`prior_art[]` list. Filtered to `@cited-phase == "search"` to
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keep the high-signal X/Y/A subset
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5. **Triple construction** — same `LayerATriple` shape as the US
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slice; `oa_type = "search_report"`, `outcome.final_disposition
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= "pending"` (EP grants land in a separate legal-status
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endpoint, planned for v1.1)
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### Common steps (both slices)
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6. **Validation**: every row passes a linking validator that
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checks temporal sanity (cited prior art filed before the
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invention), severity coherence (novelty-destroying citations
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## Known limitations
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- **Sample size**: 5 011 rows are a first cut. The full OARD has
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4 M+ Office Actions; ramp-up to 50 K+ US rows in v1.1+ is
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planned. The EP slice is intentionally small (11 publications)
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to validate the OPS Register integration end-to-end before
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scaling.
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- **Sparse claim text**: The ODP search endpoint returns
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bibliographic metadata (title, applicant, IPC) but not full
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claim text. Some rows have `invention.claims = []` or
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placeholder markers; full claim extraction needs a separate
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ODP call (planned for v1.1).
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- **JP not yet shipped**: JP slice gated on INPIT bulk
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credential approval; see
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[docs/07-partnerships/inpit-bulk-data-application.md](https://github.com/masterleopold/parallax/blob/main/docs/07-partnerships/inpit-bulk-data-application.md).
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- **EP claim ranges**: The Register service embeds claim ranges
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in the citation's bibliographic text annotation (`[Y] 5,12`),
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not as structured fields. v1.0.2 surfaces an empty
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`prior_art[].claims_blocked = []` for all EP rows; text-parsing
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the annotations is a v1.0.3 task.
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- **EP outcome field is conservative**: Without joining the OPS
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legal-status endpoint, `outcome.final_disposition` defaults to
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`pending` for EP rows. v1.1 will resolve to
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`granted` / `rejected` / `withdrawn`.
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- **US outcome field is conservative**: Without joining USPTO
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PEDS (Patent Examination Data System), the same defaulting
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applies on the US slice.
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## Versioning
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Freedom-to-Operate Evaluation},
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year = 2026,
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publisher = {Hugging Face},
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version = {1.0.2},
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url = {https://huggingface.co/datasets/v13s/golden-fto-layer-a},
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note = {Curated under CC-BY-4.0; underlying patent
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data in the public domain}
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