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| 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](https://arxiv.org/abs/2511.20251)), copied unchanged from the official repository | |
| [basiclab/PromptMoG](https://github.com/basiclab/PromptMoG) (commit `80e7c78`, `data/lpd_bench/prompt_XXX.json`, | |
| Apache-2.0) into one `test` split for [ImgEval](https://github.com/Jialuo-Li/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. | |