t_images[i]
    original_caption = original_captions[i]
    edited_image = edited_images[i]
    modified_caption = modified_captions[i]

    similarity_score = dir_similarity(original_image, edited_image, original_caption, modified_caption)
    scores.append(float(similarity_score.detach().cpu()))

print(f"CLIP directional similarity: {np.mean(scores)}")
# CLIP directional similarity: 0.0797976553440094
Like the CLIP Score, the higher the CLIP 