Datasets:
Tasks:
Document Question Answering
Size:
n<1K
Tags:
benchmark
document-ai
information-extraction
structured-extraction
key-information-extraction
ocr
License:
| # Extend | |
| - **Runner:** [`scripts/run_extend.py`](../scripts/run_extend.py) | |
| - **Result set:** `results/extend/<doc_id>.json` | |
| - **API:** Extend (`https://api.extend.ai`), `x-extend-api-version: 2026-02-09` | |
| ## No natural-language prompt | |
| Extend is a configured extraction product, not a chat model, so there is no free-text | |
| prompt to commit. The task is expressed entirely through an **extractor** created from the | |
| benchmark schema. The committed configuration is: | |
| - `baseProcessor: extraction_performance` | |
| - `baseVersion: 4.1.1` | |
| - `parseConfig.engine: parse_performance` | |
| ## Schema handling | |
| `schemas/<doc_id>.json` is transformed into Extend's accepted schema subset | |
| (`transform_schema` / `transform_node`): | |
| - strip `$schema`, `examples`, `default`, `title`, and any `x_*` keys | |
| - primitives become nullable unions (`["string", "null"]`); enums gain a `null` member | |
| - `format: "date"` becomes `extend:type: "date"` | |
| - every object sets `additionalProperties: false`; arrays and nested objects recurse | |
| - the reserved top-level property name `id` is renamed on the Extend side and mapped back | |
| in the output | |
| ## Run procedure | |
| Each run uploads the source file with a **fresh `file_id`** (the first `/extract` on a | |
| file id caches the parse output, so reusing it would silently serve a stale parse) and | |
| creates a uniquely named extractor so the current schema is always used. The runner then | |
| calls `/extract`, polls `/extract_runs/<id>` until `PROCESSED`, and maps the output back | |
| to the original field names. Cost is derived from reported credits at | |
| `$0.0125`/credit. | |
| ## Run knobs (environment) | |
| - `EXTEND_API_KEY` (required, for your own Extend workspace) | |