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Dataset Description -
This dataset contains a synthetic multimodal collection of product images and corresponding advertising texts. Each sample includes a product image and structured metadata such as product name, category, tagline, ad copy, and target audience.
Data Generation -
The dataset was generated using pre-trained Hugging Face models. Images were created using Stable Diffusion, while advertising texts were generated using the Phi-2 language model.
EDA -
The dataset contains 120 samples with no missing values across all fields. The product categories and target audiences are relatively balanced. Advertising texts are short and consistent, with an average length of approximately 8 words. All samples include images with no missing values in the image column. Overall, the dataset is clean, consistent, and suitable for downstream embedding, retrieval, and multimodal AI tasks.
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