--- license: other license_name: per-file license_link: https://huggingface.co/datasets/Gemus-AI/DesignAnything-Bench/blob/main/LICENSES.md pretty_name: Design Anything Bench Inputs language: - en tags: - design - benchmark size_categories: - n<1K configs: - config_name: images default: true data_files: - split: inputs path: metadata/images.jsonl --- # Design Anything Bench Inputs The input images that the 228 tasks of the Design Anything benchmark (corpus v0.6) provide to the system under test: photographs, drawings, maps, references and generated stand-ins that the briefs ask the designer to work from. Related material: - Task briefs, scoring specifications, the evaluation protocol and the evaluator source: https://github.com/Gemus-AI/DesignAnything - Design Anything's outputs on these tasks: https://huggingface.co/datasets/Gemus-AI/DesignAnything-Results ## Contents | Content | Files | Size | | --- | ---: | ---: | | Input images (`blobs/`) | 682 | 1.16 GB | ```text metadata/images.jsonl one row per image (the dataset viewer shows these) blobs/sha256//. the images, byte-identical LICENSES.md licenses and third-party attribution CHECKSUMS.sha256 SHA-256 of every other file ``` Each task's brief (`benchmark/tasks//scenario.json` in the GitHub repository) lists the images it provides in `referenceAssets`, with a `path` and a `sha256`. The image with that digest is `blobs/sha256//.` here. The images are byte-identical to what the systems received, so metadata embedded in them (for example EXIF) is kept as well. ### Row fields (`metadata/images.jsonl`) - `sha256`, `path`, `bytes`, `contentType`. - `tasks`: the tasks that provide the image; `corpusPaths`: the `referenceAssets[].path` values that name it. - `origin`: `authored` (made by the benchmark authors), `generated` (generated by the benchmark authors with an image model), or `third-party`. - `license`, `source`, `licenseUrl`, `attribution`: see below. - `redistributionReview`: `reviewed` for every image in this release (see below). - `flags`: `share-alike`, `url-source` (the record points to a source web page), `label-conflict` (two records give different license labels), `exif` / `xmp` (the file carries embedded metadata). ## Licenses All 682 inputs were reviewed for redistribution on 2026-10-17. The authors confirmed the `authored` and `generated` images. Each of the 55 third-party images was checked against its source page: the license on the page matches the record, and the CC BY-SA version and author match the attribution. The aerial photograph `site-overhead.png` for the architecture base-A tasks is USDA NAIP imagery, a US federal government work; it was labeled CC0 in the task corpus and is listed here as public domain. Seven inputs carry CC BY-SA and two carry OGL-Toronto-1.0; their original attributions are listed separately in `LICENSES.md`. The third-party images that carry EXIF or XMP metadata are byte-identical to the files published at their sources. This dataset is **not** released under a single license. Every image keeps its own license, recorded per file: - `authored` and `generated` images: CC BY 4.0, attribution "The Design Anything Authors". - `third-party` images: the license of their source (public domain, CC0, CC BY-SA, Open Government Licence – Toronto), with the attribution in `LICENSES.md`. CC BY-SA images remain under CC BY-SA. The CC BY 4.0 grant for `authored` and `generated` images applies to the extent the authors hold rights in them. To report a problem with any file, or to request its removal, open a discussion on this dataset page. ## Citation Please cite the Design Anything paper: https://arxiv.org/abs/2610.24771. Citation details are on the project page: https://designanything.gemus.ai