| --- |
| pretty_name: CulturalMenuBench |
| language: |
| - zh |
| - en |
| tags: |
| - multimodal |
| - culinary-reasoning |
| - benchmark |
| - multiple-choice |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # CulturalMenuBench |
|
|
| **CulturalMenuBench: Probing the Knowledge-Application Gap in Multimodal Culinary Reasoning** |
|
|
| [Paper](https://arxiv.org/abs/2609.03526) · [Code](https://github.com/BobTsang-NLP/CulturalMenuBench) |
|
|
| ## Status and permissions |
|
|
| This is the **v3 release candidate** of CulturalMenuBench, hosted as a Hugging |
| Face dataset repository. The dataset is distributed as three independent ZIP |
| archives (one metadata archive and two media archives). This layout is intended |
| for archive download; the Hugging Face Dataset Viewer and |
| `datasets.load_dataset` are not supported. Extract the archives into one empty |
| directory and use the included loader. |
|
|
| No dataset license is granted here. Permission to redistribute third-party |
| recipe images, source text and translations remains subject to the authors' |
| rights review and any required institutional approval; see `RIGHTS.md`. The |
| companion code repository's Apache-2.0 license does not extend to third-party |
| content. |
|
|
| ## Dataset scope |
|
|
| | Suite | Questions | |
| | --- | ---: | |
| | Binary | 4,870 | |
| | Chinese multiple-choice | 2,607 | |
| | Foreign multiple-choice | 3,217 | |
| | Subregion | 354 | |
| | **Total** | **11,048** | |
|
|
| The candidate contains 587 main dishes and 12,057 physical JPEG images addressed |
| by 12,060 image IDs; three IDs share existing files. All questions and images |
| are included. This is not a sample-only package. |
|
|
| ## Download and extraction |
|
|
| Download these **three independent archives** and `SHA256SUMS`: |
|
|
| - `MenuBench_metadata_v3_candidate_20261021.zip` |
| - `MenuBench_media_v3_candidate_20261021_01-of-02.zip` |
| - `MenuBench_media_v3_candidate_20261021_02-of-02.zip` |
|
|
| Do not concatenate the archives. Verify the downloaded files, then extract all |
| three archives into the **same empty directory**: |
|
|
| ```bash |
| sha256sum -c SHA256SUMS |
| mkdir data |
| python3 -m zipfile -e MenuBench_metadata_v3_candidate_20261021.zip data |
| python3 -m zipfile -e MenuBench_media_v3_candidate_20261021_01-of-02.zip data |
| python3 -m zipfile -e MenuBench_media_v3_candidate_20261021_02-of-02.zip data |
| cd data |
| sha256sum -c SHA256SUMS |
| python3 scripts/load_dataset.py --questions questions/binary.jsonl |
| python3 scripts/load_dataset.py --questions questions/mc-chinese.jsonl |
| python3 scripts/load_dataset.py --questions questions/mc-foreign.jsonl |
| python3 scripts/load_dataset.py --questions questions/subregion.jsonl |
| ``` |
|
|
| For the first checksum command, keep this repository's `README.md` and |
| `RIGHTS.md` alongside the three archives. The second checksum command checks |
| the extracted dataset rather than the download files. |
|
|
| Python 3.9+ with the standard library is sufficient for the included loader and |
| scorer. This repository layout is a downloadable archive distribution; it does |
| not promise automatic Hugging Face Dataset Viewer or `datasets.load_dataset` |
| support. Use the included loader or the code repository's scripts. |
|
|
| ## Schema and evaluation |
|
|
| `questions/*.jsonl` contains the four task suites. `items.jsonl` contains dish |
| metadata, and `media_manifest.jsonl` resolves `asset://image:...` references to |
| image files. Preserve ordered question input blocks, including repeated images. |
| Never supply answer labels, source recipe metadata, or review records as model |
| inputs. `scripts/score.py` provides local scoring; it makes no model API calls. |
|
|
| ## Version boundary and limitations |
|
|
| Dish display names and their task-specific question spans were cleaned, and |
| non-JPEG parent images were encoded as native-resolution JPEG Q95/4:4:4. |
| Existing JPEG files retain their original bytes. Question IDs, answers, option |
| order, image IDs and image order remain unchanged from the v2 candidate. |
| There is no super-resolution or new image repair in this packaging step. |
|
|
| Earlier image preprocessing includes LaMa/Qwen repair. Neither that processing |
| nor JPEG encoding guarantees watermark-free images; residual or uncertain |
| overlays may remain. Source attribution and preprocessing records are retained |
| inside the metadata archive, not discarded to make this bundle smaller. |
|
|
| This revised candidate has **not been reevaluated**. Historical paper scores |
| must not be presented as results measured on these revised inputs. |
| `KNOWN_ISSUES.jsonl` retains eight answer-change proposals and 21 scope proposals; |
| they have not been applied. See the extracted `README.md`, `RELEASE.json`, and |
| preprocessing/name-review records for detailed version information. |
|
|
| ## Distribution |
|
|
| The dataset is hosted at |
| https://huggingface.co/datasets/brainz/CulturalMenuBench. Keep the three ZIP |
| archives, `README.md`, `RIGHTS.md` and `SHA256SUMS` together at the repository |
| root; the outer transport ZIP is not part of the dataset and should not be |
| uploaded as a fourth archive. |
|
|
| For updates, preserve the archive layout and refresh `SHA256SUMS`, then re-run |
| the extraction and loader checks. Any change to visibility or redistribution |
| scope must be consistent with `RIGHTS.md`, including attribution, public |
| contact and takedown information. |
|
|
