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"name": "SEEDBench",
"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; SEEDBench_IMG registered @vlmeval/dataset/image_mcq.py:74. Cross-check: lmms-eval@lmms_eval/tasks/seedbench/utils.py:17-34 grades by first-character letter compare (pure rule)",
"note": "SEED-Bench authors' original protocol is generation-free answer-likelihood ranking ('for each choice ... compute the likelihood ... select the choice with the highest likelihood', AILab-CVC/SEED-Bench EVALUATION.md) — not reproducible in a generation pipeline. The published mm-eval copy uses the generation-based ecosystem protocol (lmms-eval prompt + letter compare / VLMEvalKit MCQ extraction), which is how all current leaderboards run SEED-Bench on API/chat models."
},
"prompt_template": "<image>{{ question }}\nA. {{ options.choice_a }}\nB. {{ options.choice_b }}\nC. {{ options.choice_c }}\nD. {{ options.choice_d }}\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": "question_id"
},
"question": {
"from": "question"
},
"answer": {
"from": "answer",
"optional": true
},
"extra": {
"choice_a": {
"from": "choice_a"
},
"choice_b": {
"from": "choice_b"
},
"choice_c": {
"from": "choice_c"
},
"choice_d": {
"from": "choice_d"
},
"question_type_id": {
"from": "question_type_id"
}
},
"source": {
"format": "json",
"url": {
"test": "https://huggingface.co/datasets/lmms-lab/SEED-Bench"
}
}
},
"prompt_template_source": {
"origin": "official",
"reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/seedbench/utils.py (seedbench_doc_to_text — 'A. choice_a\\nB. choice_b\\nC. choice_c\\nD. choice_d\\nAnswer with the option's letter from the given choices directly.')",
"notes": "Tier 4: lmms-eval SEEDBench canonical evaluation prompt (direct choice_a/b/c/d fields)."
}
}
}
} |