---
license: cc-by-4.0
tags:
- retrieval
- mathematics
- embeddings
pretty_name: RecipeMatching evaluation artifacts
---

# RecipeMatching evaluation artifacts

Per-query rank dumps and embedding caches behind the paper *Recipe-Matching, Not Equivalence*
(Ali Habibullah, Mohammad Alshiekh, Yazan Alshoibi, Salman Khan and Naeemullah Khan, 2026).
Code, data and results: <https://github.com/KAUST-Academy/recipe-matching-not-equivalence>.

These files are too large for the GitHub repository. Every number in the paper is already stored
there as a result JSON; the files here are what the analysis scripts need in order to recompute the
confidence intervals and the style analyses without re-running any model.

## Contents

| Path | Files | Size | What it is |
|---|---|---|---|
| `results/ranks/*.ranks.jsonl` | 891 | 1.8 GB | One JSON line per query: its id and the rank of its gold document (fields vary by evaluation, e.g. `gold_rank`, `gold_sim`, `top10_ids`). Written by `scripts/eval_retrieve.py --dump-ranks`, `scripts/eval_crosslingual.py`, `scripts/eval_bm25.py` and `scripts/colbert_eval.py`. The repository's `results/ranks/*.summary.json` files are their aggregates. |
| `emb_cache/*.npz` | 16 | 4.4 GB | MathNet-Retrieve document (117,088) and query (15,000) embeddings of eight fine-tuned checkpoints, arrays `ids` and `emb`: `ctrl-cas-6145`, `ctrl-llm-6145`, `dose-paraphrase-6145`, `dose-style-6145`, `dose-unrelated-6145`, `fact-d4casnegs-6145-s42`, `fact-d4llmnegs-6145-s42` and `fact-d4llmnegsfull-6145-s42` (training records in `models/<name>/run_config.json` of the repository). |
| `upstream_versions/` | 2 | small | The Hugging Face revision of every base model and dataset the experiments downloaded, recorded on 2026-09-28, and the commit of the MIRB code. |

## Use

Clone the GitHub repository, then place the files where the scripts expect them:

```bash
hf download KAUSTAcademy/RecipeMatching_eval-artifacts --repo-type dataset --local-dir artifacts
cp artifacts/results/ranks/*.ranks.jsonl results/ranks/
mkdir -p .emb_cache && cp artifacts/emb_cache/*.npz .emb_cache/
```

The bootstrap, difference-in-differences and slice scripts (for example `scripts/bootstrap_stats.py`,
`scripts/dose_bootstrap.py`, `scripts/reference_control_did.py`, `scripts/xling_slice_analysis.py` and
`scripts/samelang_verdict.py`) read the rank dumps; `scripts/style_probe.py`, `scripts/style_within_class.py`
and `scripts/analyze_hits.py` read the embeddings.

## Citation

```bibtex
@misc{habibullah2026recipematchingequivalence,
      title={Recipe-Matching, Not Equivalence}, 
      author={Ali Habibullah and Mohammad Alshiekh and Yazan Alshoibi and Salman Khan and Naeemullah Khan},
      year={2026},
      eprint={2609.31927},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2609.31927}, 
}
```