license: apache-2.0
task_categories:
- text-to-image
language:
- en
pretty_name: LPD-Bench
size_categories:
- n<1K
LPD-Bench
The long-prompt benchmark of PromptMoG: Prompt Embedding Mixture-of-Gaussian Sampling (Ruan et al., BMVC 2026,
arXiv:2511.20251), copied unchanged from the official repository
basiclab/PromptMoG (commit 80e7c78, data/lpd_bench/prompt_XXX.json,
Apache-2.0) into one test split for ImgEval.
1,000 prompts of 250-450 words in 25 themes (40 each). Each prompt comes with yes/no questions in three categories (semantic, spatial, stylistic; two to four per category, three for most) and the descriptions they were written from.
| column | content |
|---|---|
prompt_id |
the official file index (prompt_{prompt_id:03d}.json) |
theme |
one of 25 themes |
prompt |
the long prompt, as in the file (the official generation and scoring code lower-case it) |
semantic_questions, spatial_questions, stylistic_questions |
the yes/no questions of each category |
semantic_description, spatial_description, stylistic_description |
the descriptions behind the questions |
Official scoring (eval_utils/eval_lpd.py): Qwen3-VL-30B-A3B-Instruct is asked each question followed by
" Please answer in Yes/No." with the image; a question scores the probability of the token "Yes" as the first answer
token, a category the mean over its questions, and the benchmark the mean over prompts per category.