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---
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:
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_) |