Outdoor Advertising Layout-Aware Text Dataset
- Records
- 5000
- Size
- 0.5GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
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.
Overview
Dataset Insights
Preview
Sample Examples
Schema
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. |
Trust
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
FAQ
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.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
High-quality data, ready for your next AI breakthrough.
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}
}Using this in research? Please cite us.