| { | |
| "name": "VStarBench", | |
| "release_date": "2026-05-15", | |
| "subsets": { | |
| "main": { | |
| "language": [ | |
| "en" | |
| ], | |
| "modalities": [ | |
| "single_image_start" | |
| ], | |
| "task_type": "multiple_choice_qa", | |
| "score_pipeline": [ | |
| "rule-match", | |
| "llm-match" | |
| ], | |
| "score_protocol": { | |
| "reference": "vlmevalkit@vlmeval/dataset/image_mcq.py:249-324 (ImageMCQDataset.evaluate_heuristic) -> vlmevalkit@vlmeval/dataset/utils/multiple_choice.py:475-508 mcq_vanilla_eval: can_infer rule prefetch, then GPT extractor (extract_answer_from_item @vlmeval/dataset/utils/multiple_choice.py:359-407) maps verbose output to a letter, rule-compare vs GT; VStarBench registered as plain ImageMCQDataset @vlmeval/dataset/image_mcq.py:127. Cross-check: lmms-eval@lmms_eval/tasks/vstar_bench/utils.py:45-108 grades with deterministic regex letter extraction (pure rule), per-category (direct_attributes / relative_position) + overall accuracy", | |
| "note": "Per-category breakdown (direct_attributes/relative_position, in extra.category) is aggregation-level only. Options are baked inline into the question text as '(A) ...' lines with the letter-answer directive; GT is a bare letter (verified via HF rows) — extraction must parse inline parenthesized options." | |
| }, | |
| "prompt_template": "<image>{{ question }}", | |
| "mapping_from_source": { | |
| "media": { | |
| "from": "image", | |
| "type": "list", | |
| "min_items": 1, | |
| "max_items": 1 | |
| }, | |
| "id": { | |
| "from": "question_id" | |
| }, | |
| "question": { | |
| "from": "text" | |
| }, | |
| "answer": { | |
| "from": "label", | |
| "optional": true | |
| }, | |
| "extra": { | |
| "category": { | |
| "from": "category" | |
| } | |
| }, | |
| "source": { | |
| "format": "json", | |
| "url": { | |
| "test": "https://huggingface.co/datasets/craigwu/vstar_bench" | |
| } | |
| } | |
| }, | |
| "prompt_template_source": { | |
| "origin": "source_column", | |
| "reference": "https://huggingface.co/datasets/craigwu/vstar_bench (source `text` column = full pre-rendered prompt: question + (A)/(B)/(C)/(D) options + 'Answer with the option's letter from the given choices directly.' trailer baked in)", | |
| "notes": "Tier 2.2: pass-through {{ question }} where question = upstream `text` column. All 191/191 rows carry pre-rendered prompt with options A-D inline and the answer-letter instruction. Cross-reference: lmms-eval vstar_bench task (https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/vstar_bench/utils.py) reformats the same data; mm-eval preserves the source column verbatim." | |
| } | |
| } | |
| } | |
| } |