---
dataset_info:
  features:
  - name: prompt
    dtype: string
  - name: image_1
    dtype: image
  - name: model_name_1
    dtype: string
  - name: distilabel_metadata
    struct:
    - name: raw_output_sdxl
      struct:
      - name: image
        dtype: string
  - name: image_2
    dtype: image
  - name: model_name_2
    dtype: string
  splits:
  - name: train
    num_bytes: 2268333.0
    num_examples: 5
  download_size: 2262655
  dataset_size: 2268333.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---


## How was this created?

The syntgetic myltimodal dataset was created with the help of large language models (LLMs).

Please refer to the following example:

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/5f43448a79c1ba4c353d0d8f/Wm5TlDVULgQzc-HZOYpMO.jpeg)

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_)