cte_cold_emb_qv / README.md
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---
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
splits:
- name: train
num_bytes: 112
num_examples: 4
download_size: 3513
dataset_size: 112
---
method: cte_cold_emb_qv
num_inference_steps: 30
{metric} : {mean}
{metric} : {mean}
{metric} : {mean}
{metric} : {mean}
{metric} : {mean}