Social Instagram Marketing: Synthetic Multimodal Posts for AI Agents

Social — Instagram Marketing Multimodal Dataset is a synthetic collection of 1,447 Instagram post ideas created for an AI marketing agent. Each row pairs a marketing caption with a matching AI-generated image, conditioned on a business brief and brand preferences. The dataset was authored by avihayamor and last updated on Hugging Face in June 2026.

Use Cases

• Training AI agents to generate marketing content based on business briefs and brand preferences.
• Benchmarking retrieval-augmented generation systems for social media post recommendation.
• Studying the alignment between text captions and AI-generated images in a marketing context.

Strengths

• Contains 1,447 rows of paired text and image data.
• Each post is generated based on a structured input of a business brief and brand preferences.
• Data is explicitly designed for a specific AI agent pattern involving retrieval and generation.

Limitations

• Dataset is synthetic, which may limit real-world applicability.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known but total data size and file formats are unknown.

Provenance

Source

Hugging Face user avihayamor.

Collection Method

Synthetically generated for an AI Instagram-marketing agent.

Freshness

Last updated 2026-06-20 11:49:24.