size_categories:n<1K format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: label
    dtype: string
  - name: prompt_similarity
    dtype: float32
  - name: identity_consistency
    dtype: float32
  - name: negative_prompt_similarity
    dtype: float32
  - name: target_prompt_similarity
    dtype: float32
  - name: aesthetic_score
    dtype: float32
  - name: ir_score
    dtype: float64
  splits:
  - name: train
    num_bytes: 432
    num_examples: 13
  download_size: 4358
  dataset_size: 432
---

        method: db_multi_reward_ 

        num_inference_steps: 30

        prompt_similarity : 0.2124103158712387 
identity_consistency : 0.6539320349693298 
negative_prompt_similarity : 0.22649185359477997 
target_prompt_similarity : 0.21849390864372253 
aesthetic_score : 3.788809299468994 
ir_score : -0.8415606444379171 
