llm-semantic-router/mmbert32k-modality-router-merged
Text Classification • 0.3B • Updated • 1.95k • 1
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Source
Combined text-only dataset from
- poloclub/diffusiondb
- Gustavosta/Stable-Diffusion-Prompts
- bartman081523/stable-diffusion-discord-prompts
- FredZhang7/krea-ai-prompts
For preprocessing methods, please see Fast GPT2 PromptGen.
Python
Download and save the dataset to all_prompts.txt locally.
pip install datasets
import datasets
dataset = datasets.load_dataset("FredZhang7/stable-diffusion-prompts-2.47M")
train = dataset["train"]
prompts = train["text"]
with open("all_prompts.txt", "w") as f:
for prompt in prompts:
f.write(prompt + "\n")
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