| --- |
| 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. |
|
|
