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# Original graded retrieval controls

**11,600 typed rows, 8,800 request cases, 400 queries and 200 synthetic system families.**
Original generated content and labels are CC0-1.0. Source code is MIT.
This is a finite original relevance task, not TREC or scraped search data.

Each query asks for the current retry ceiling and backoff delay for one fictional
system/profile. Grade 3 supplies both values; grade 2 supplies one; grade 1 is
about the requested system but has the wrong profile, withdrawn guidance or no
requested value; grade 0 concerns another system. A quoted query does not change
the passage's subject. Two counterfactual queries share each family's eight passages.

Six request forms are supplied: pointwise Noul/Score, opposite-order pairwise
Choice, local setwise Choice, listwise Choice and listwise Score. Each query has
22 request cases and 29 typed rows. One listwise Score request has eight questions.
Score targets are four-level hard grades. Noul is positive only for a complete
grade-3 answer. Choice targets are uniform over equally best passages; they do
not supervise a full ranking or represent measured model uncertainty.

| Split | Typed rows |
| --- | ---: |
| train | 7,366 |
| calibration | 464 |
| validation | 464 |
| test | 986 |
| ood | 2,320 |

All query variants, passages and methods from a system family stay together.
OOD reserves brief wording and different profile names for 40 whole families.
Family index modulo 10 values 8–9 designate OOD; other families use stable group
hashing. Expansion preserves every frozen pilot family assignment. No pilot
test/OOD family enters train, calibration or validation. Rows within a family
are correlated and must not be presented as independent real-world examples.

Use only state, question, kind and options as model inputs. Targets, metadata,
queries' reference relevance and auxiliary cases are privileged audit data.
Each Parquet `record_json` and the decompressed raw JSONL preserve the original
row bytes and order exactly, using the root card's existing column schema.

**No training on this corpus is claimed.** A separate frozen pilot received
real Jev 1.13.0 outputs on six held-out queries (132 requests / 174 typed
answers). That small pilot is described in the linked source documentation;
it is not evaluation of all 11,600 rows, a TREC reproduction, or evidence of
newly trained Open-Jev capability. Generation manifests' inference flags record
generation-time operations, not the absence of subsequent pilot evaluation.
The frozen release-v2 mixture and published model training data remain unchanged.

The [community interface source](https://github.com/ielab/llm-rankers/blob/ac843ed63a302900d76722b83be926fdb84a3936/jev/jev_rankers.py)
supplies task shapes. Our prompts, passages and labels are independently authored.
No third-party examples, TREC passages/qrels or provider responses are included.

- [Original manifest](../provenance/original-manifests/ir-control-v1.json)
- [Independent body audit](../provenance/ir-data-20260920/independent-audit.json)
- [Frozen-pilot split preservation](../provenance/ir-data-20260920/stable-split-verification.json)
- [Auxiliary queries](../artifacts/ir-control-v1/queries.jsonl.gz) and [request cases](../artifacts/ir-control-v1/cases.jsonl.gz)
- [Pinned generator](https://github.com/Zefan-Cai/Open-Jev/blob/887b9fe3df729310014ac479c8eb7aad4d52bfbd/jev/ir_data.py) and [data/runtime documentation](https://github.com/Zefan-Cai/Open-Jev/blob/887b9fe3df729310014ac479c8eb7aad4d52bfbd/docs/ir-control-data.md)
- [Incremental export manifest](../exports/ir-data-20260920.json)

From that pinned source checkout, use a fresh output directory:

```bash
python3 -m jev.ir_data --output-dir data/ir-control-v1-rebuilt --groups 200 --ood-groups 40 --seed 42
python3 reports/ir-control-v1/verify.py --data data/ir-control-v1-rebuilt --output ir-audit.json
```

External TREC evaluation remains pending. The local holdout loader isolates
external candidates/qrels from the training-data tree and uses linear-gain
`trec_eval ndcg_cut` semantics; no external benchmark result is bundled here.