Social Media Advertising Briefs and Structured Creative Generation Dataset
#structured content generation #advertising copywriting #instruction following #social media advertising #digital marketing automation #advertising creative generation
- 5000
- 0.5GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
This dataset pairs social media advertising briefs with corresponding structured creative objects, covering elements such as ad copy, headlines, calls to action, and platform information in specified fields and nested formats. Samples are presented as prompt-response examples for training models to generate well-structured creative data from advertising requirements. The data supports structured-output supervised fine-tuning and workflows for creating social media advertising content.
Dataset Insights
Sample Examples
{}
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| brief | object | The original advertising brief information used as the basis for creative generation. |
| creative | object | A structured advertising creative generated from the brief for use in social media campaigns. |
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 does the dataset contain?
- Each sample includes an advertising brief and a corresponding structured creative object. The objects can cover fields such as ad copy, headlines, calls to action, and platform information, organized according to specified fields and nested formats.
- Which capabilities is the dataset suited to train?
- The prompt-response examples are suited to training models to interpret advertising requirements, generate social media ad creative, and follow predefined fields and nested output formats. They can be used for structured-output supervised fine-tuning.
- How can I access and use the data?
- Check the dataset product page for available file formats, download methods, and access requirements. Before training, review the field structure and apply any parsing, validation, and preprocessing needed for your pipeline.
- What are the dataset's licensing terms?
- The permitted uses depend on the license stated on the dataset product page. Confirm the relevant rights and platform requirements before using the data for commercial training, redistribution, or external publication of generated content.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Social Media Advertising Briefs and Structured Creative Generation Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/550ec117a71c8dc90ccc742dd491ac6f?dataset_scene_id=17},
urldate={2026-10-10},
keywords={social media advertising dataset, ad creative generation, advertising brief data, structured data generation, structured output SFT, ad copy dataset, prompt response data},
version={1.0}
}Using this in research? Please cite us.
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