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--- |
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dataset_info: |
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features: |
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- name: prompt |
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dtype: string |
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- name: image_1 |
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dtype: image |
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- name: model_name_1 |
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dtype: string |
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- name: distilabel_metadata |
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struct: |
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- name: raw_output_sdxl |
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struct: |
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- name: image |
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dtype: string |
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- name: image_2 |
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dtype: image |
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- name: model_name_2 |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 2268333.0 |
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num_examples: 5 |
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download_size: 2262655 |
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dataset_size: 2268333.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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## How was this created? |
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The syntgetic myltimodal dataset was created with the help of large language models (LLMs). |
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Please refer to the following example: |
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/5f43448a79c1ba4c353d0d8f/Wm5TlDVULgQzc-HZOYpMO.jpeg) |
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source: [LinkedIn Post by Daniel Vila Suero](https://www.linkedin.com/posts/daniel-vila-suero-484b6b45_super-excited-to-see-argilla-go-multimodal-activity-7237025408536203264-HGF_) |