persona
stringclasses 3
values | model_name
stringclasses 1
value | image
imagewidth (px) 1.02k
1.02k
|
---|---|---|
A local art historian and museum professional interested in 19th-century American art and the local cultural heritage of Cincinnati. | black-forest-labs/FLUX.1-schnell | |
An anthropologist or a cultural expert interested in the intricacies of Cypriot culture, history, and society, particularly someone who has spent considerable time researching and living in Cyprus to gain a deep understanding of its people, customs, and way of life. | black-forest-labs/FLUX.1-schnell | |
A military historian specializing in Japanese and Soviet conflicts during the interwar period, with an interest in the intricacies of 20th-century geopolitics and the impact of totalitarian regimes on military strategy. | black-forest-labs/FLUX.1-schnell |
Dataset Card for test-finepersonas-v0.1-tiny-flux-schnell
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml
which can be used to reproduce the pipeline that generated it in distilabel using the distilabel
CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/plaguss/test-finepersonas-v0.1-tiny-flux-schnell/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/plaguss/test-finepersonas-v0.1-tiny-flux-schnell/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"image": "",
"model_name": "black-forest-labs/FLUX.1-schnell",
"persona": "A local art historian and museum professional interested in 19th-century American art and the local cultural heritage of Cincinnati."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("plaguss/test-finepersonas-v0.1-tiny-flux-schnell", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("plaguss/test-finepersonas-v0.1-tiny-flux-schnell")
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