--- license: cc-by-4.0 language: - en pretty_name: "Ad Creative Design Dataset (Preview)" task_categories: - text-to-image - image-to-image tags: - advertising - ad-creatives - graphic-design - branding - brand-guidelines - creative-design - marketing - image-generation - design-systems size_categories: - n<1K configs: - config_name: default data_files: "data.parquet" --- # Ad Creative Design Dataset (Preview) This is a preview release of finished ad creatives produced by professional designers working from complete brand briefs. Each of the 35 rows is one fictional consumer brand: the designer received the brand's written guidelines, its logo, and a product photograph, and delivered a square social ad creative that was reviewed and approved. The row carries all three images alongside the brief broken out into structured fields: personality, color palette with hex values, typography rules, ad archetype, and audience. Most open ad-creative corpora are scraped finals with no record of the constraints the designer worked under. This one keeps the full input → output pair: the complete brand system as the model-facing brief, and the approved human deliverable against it. ## From Contra Labs This dataset is a sample of the human data [Contra Labs](https://contralabs.com/?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=ad-creative-design&utm_content=hero) builds on demand. We are an independent human-data and creative-evaluation lab, backed by a network of verified creative and domain experts. We produce expert evaluations, rankings, benchmarks, and custom datasets like this one for AI teams. Other datasets from us on Hugging Face: - [Descript video-editing computer-use trajectories](https://huggingface.co/datasets/contra-labs/descript-video-editing-trajectories). Long-horizon editing sessions with narration-grounded reasoning. - [Adobe Premiere editing trajectories](https://huggingface.co/datasets/contra-labs/creative-video-editing-trajectories). Native desktop-app editing sibling to the Descript set. - [Video detail annotation](https://huggingface.co/datasets/contra-labs/video-detail-annotation). Dense human descriptions and annotations of video content. [Browse all our datasets on Hugging Face](https://huggingface.co/contra-labs). Want data like this for your domain? We build expert-made creative deliverables, pairwise preference data, and expert evaluation scores to your schema and difficulty. Reach out at [contralabs.com](https://contralabs.com/?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=ad-creative-design&utm_content=cta) or [partnerships@contralabs.com](mailto:partnerships@contralabs.com). See [Working with Contra Labs](https://huggingface.co/datasets/contra-labs/ad-creative-design-dataset#working-with-contra-labs) for more. ## What's in it 35 brands, one row each, in a single Parquet file with all images embedded: | Property | Value | | --- | --- | | Brands / rows | 35, all fictional, one approved ad creative each | | Images | 105 total: logo, product shot, and final ad creative per brand | | Logos | 2048×2048 WebP, uniform across all brands | | Product shots | 1024×1024 PNG, uniform across all brands | | Ad creatives | square 1:1, from 1024×1024 up to 4333×4333 (19 PNG, 16 JPEG) | | Brief text | about 89 words per brand (77 to 124), about 3,100 words total | | Ad archetypes | Promotional / Offer (10), Lifestyle / In-Use (7), Feature Callout (7), Hero Launch (7), Social Proof (4) | | Modifiers | Urgency (6), Seasonal (3); the remaining 26 carry none | | Product categories | consumer goods across menswear, jewelry, supplements, functional beverages, audio, kids' gear, outdoor, and more | Notable properties: - **Complete input → output pairs.** Every ad creative comes with the exact brief the designer worked from: the written guidelines plus the logo and product image they were required to use. Nothing about the brief has to be reconstructed after the fact. - **Fully specified brand systems.** Each brand's palette names the same six roles (Primary, Secondary, Background, Surface, Text, Accent), each with a color name and hex value, alongside typography rules (family, casing, weights) and a brand personality. - **Approved professional work.** The creatives are deliverables by professional designers that passed review; the dataset contains only the approved final per brand. - **A small archetype taxonomy.** Each brief assigns one of five ad archetypes, and ten briefs add an Urgency or Seasonal modifier, so outputs can be compared within a controlled brief structure. - **Fictional brands throughout.** All 35 brands, logos, and products were created for this work and do not correspond to real companies. ## The task (study setup) Each designer received one brand's brief: the `brand-guidelines.txt` (personality, product, six-role color palette with hex values, typography rules, ad archetype, category/audience, and occasionally packaging direction or logo-usage notes), the brand's logo, and a product photograph. The task was to design a square social ad creative for that product, honoring the palette, typography, archetype, and logo-integrity instructions in the brief. Finished creatives went through review, and this dataset contains the approved deliverables. ## Quickstart ```python from datasets import load_dataset ds = load_dataset("contra-labs/ad-creative-design-dataset", split="train") row = ds[0] print(row["brand"], "-", row["product"]) print(row["color_palette"]) row["ad_creative"].show() ``` Each row is self-contained. The three image columns are Hugging Face `Image` features with bytes embedded, so no file resolution is needed. | Column | Description | | --- | --- | | `brand` | brand name | | `logo` | brand logo, 2048×2048 WebP (`Image` feature) | | `product_image` | product photograph the ad was built around, 1024×1024 PNG (`Image` feature) | | `ad_creative` | the approved final ad creative, square 1:1 (`Image` feature) | | `product` | product name and one-line description | | `personality` | brand personality adjectives | | `archetype` | ad archetype: Promotional / Offer, Lifestyle / In-Use, Feature Callout, Hero Launch, or Social Proof | | `modifiers` | optional brief modifier (Urgency or Seasonal); null for most brands | | `category_audience` | product category and target audience | | `color_palette` | six color roles (Primary, Secondary, Background, Surface, Text, Accent), each with a name and hex value, one per line | | `typography` | type family and usage rules | | `packaging` | packaging direction where the brief specified one (3 brands); otherwise null | | `notes` | remaining free-form brief instructions, mostly logo-integrity rules (6 brands); otherwise null | The structured brief columns were parsed from each brand's original `brand-guidelines.txt`, which the parquet reproduces in full across its fields. The parquet is the sole distribution: images are embedded, and there are no loose files to resolve. ## Intended use - Training and evaluating image models that generate ad creatives conditioned on brand assets (logo, product shot) and written brand guidelines. - Judging generated creatives against the same briefs the human deliverables satisfied; the approved creative serves as a professional reference point per brief. This is a preview rather than a training-scale corpus: 35 briefs across one deliverable format (square social ad creative). It is intended for evaluation and qualitative study rather than large-scale training. ## Working with Contra Labs [Contra Labs](https://contralabs.com/?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=ad-creative-design&utm_content=cta) is an independent human-data and creative-evaluation lab, backed by a network of verified creative and domain experts. This dataset is one example of our work. We partner with AI teams on: - **Evaluation, rankings, and benchmarks.** Expert human judgment on model outputs across text, image, video, audio, UI, and multi-modal work, scored for quality, style, and brand fit. - **Custom dataset creation.** Expert-made creative deliverables, computer-use trajectories, pairwise preference data, and evaluation scores, built to your domain, schema, and difficulty. To commission an evaluation or dataset for your domain, reach out through [contralabs.com](https://contralabs.com/?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=ad-creative-design&utm_content=cta) or email [partnerships@contralabs.com](mailto:partnerships@contralabs.com). ## Provenance The creatives were produced by professional designers from Contra's network as commissioned work. All brands, logos, products, and briefs are fictional and were created for this dataset; they do not depict real companies or real products. ## Citation ```bibtex @misc{contra_labs_ad_creative_design_2026, title = {Ad Creative Design Dataset (Preview)}, author = {Contra Labs}, year = {2026}, howpublished = {Hugging Face Datasets}, note = {Preview release} } ``` ## License Released under CC-BY-4.0. Free to use with attribution to Contra Labs.