Outdoor Advertising Layout-Aware Text Dataset

#layout-aware text generation #constraint-based content generation #structured advertising copywriting #outdoor advertising #advertising copy generation #multi-format ad layout optimization

5000
0.5GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This synthetic text dataset covers outdoor advertising formats such as billboards, digital screens, lightboxes, and wall ads, with content including headlines, body copy, calls to action, and disclaimers. Samples are organized around verifiable constraints such as line length, field order, hierarchy markers, screen-carousel character limits, and text integrity, supporting the training and evaluation of controlled text generation models for outdoor layouts. Structured inputs, generated outputs, and validation summaries also help assess whether a model follows layout requirements.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
layout_request	object	Original input containing ad copy, display medium, and layout constraints.
text_integrity	boolean	Indicates whether original text, including the headline, body copy, call to action, and disclaimer, is preserved in the derived layout.
carousel_segments	array	Text segments created by splitting ad copy to meet digital screen carousel character limits.
field_order_result	array	The order in which advertising fields appear in the derived text.
validation_summary	object	Validation results for constraints such as line length, field order, carousel character counts, and text integrity.
line_length_metrics	object	Derived character counts for lines in each advertising field.
hierarchy_annotation	string	Text representation with hierarchy markers for the headline, body copy, call to action, and disclaimer.
formatted_layout_text	string	Complete advertising text with line breaks arranged for the target outdoor layout.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What advertising content does the dataset include?: The dataset covers outdoor media such as billboards, digital screens, lightboxes, and wall ads. It includes text fields such as headlines, body copy, calls to action, and disclaimers, along with derived information such as line-formatted layouts, field order, hierarchy markers, and carousel segments.

How can the data support training and evaluation?: Samples provide layout task inputs, generated text, and validation information for line length, field order, carousel character counts, and text integrity. These can support controlled text generation training and evaluation of compliance with specified layout constraints.

How can I access the dataset, and what licensing applies?: Check the current dataset product page for available access methods, delivery specifications, and license terms. The applicable license agreement determines the permitted uses.

Is the dataset suitable for live advertising campaigns?: The dataset is primarily intended for advertising layout text generation, model training, and evaluation. Before using generated content in a live campaign, review it against the target medium's size and character limits, brand guidelines, and legal requirements.

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Cite this Work

@dataset{Mobiusi2026,
  title={Outdoor Advertising Layout-Aware Text Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/7fb366bb7800c69a07b2036838860a2a?dataset_scene_cate_type=6},
  urldate={2026-10-13},
  keywords={outdoor advertising dataset,ad layout text,digital signage copy,ad text generation,outdoor ad formatting,controlled text generation,ad field hierarchy,text integrity validation},
  version={1.0}
}

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