{ "name": "SEED-Bench-2-Plus", "release_date": "2024-04-08", "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; SEEDBench2_Plus registered @vlmeval/dataset/image_mcq.py:77. Cross-check: lmms-eval@lmms_eval/tasks/seedbench_2_plus/utils.py:26-43 grades by first-character letter compare (pure rule), per-category (chart/map/web) means", "note": "Official per-category (chart/map/web) breakdown is aggregation-level; overall accuracy equals per-sample mean. lmms-eval grades pure-rule (first char); VLMEvalKit adds the GPT extraction fallback — llm_extract adopted." }, "prompt_template": "{{ question }}\nOptions:\n{% for k, v in options.items() %}{{ k }}. {{ v }}{% if not loop.last %}\n{% endif %}{% endfor %}\nAnswer with the option's letter from the given choices directly.", "mapping_from_source": { "media": { "from": "image", "type": "list", "min_items": 1, "max_items": 1 }, "id": { "from": "id" }, "question": { "from": "question" }, "answer": { "from": "answer", "optional": true }, "options": { "from": "options", "optional": true, "note": "list source values are normalized to {A,B,...} dict" }, "extra": { "category": { "from": "category" } }, "source": { "format": "json", "url": { "test": "https://huggingface.co/datasets/AILab-CVC/SEED-Bench-2-plus" } } }, "prompt_template_source": { "origin": "official", "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/tasks/seedbench_2_plus (SEED-Bench-2-Plus follows SEEDBench format: 'A. opt\\nB. opt\\nAnswer with the option's letter from the given choices directly.')", "notes": "Tier 4: lmms-eval SEEDBench-2-Plus canonical evaluation prompt (inherits SEEDBench format)." } } } }