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"name": "SAT",
"release_date": "2025-12-04",
"subsets": {
"real": {
"language": [
"en"
],
"modalities": [
"multi_image_start"
],
"task_type": "multiple_choice_qa",
"score_pipeline": [
"exact-match",
"rule-match"
],
"score_protocol": {
"reference": "lmms-eval@lmms_eval/tasks/sat/sat.yaml:17-31 + utils.py (MultiChoiceRegexFilter) — deterministic filter maps the response to a choice letter by regex / choice-text matching, then exact_match; no LLM at any step. Official repo (github.com/arijitray1993/SAT) has not published a dedicated scoring script (README: 'work in progress').",
"note": "lmms-eval letters the options (A., B.) and grades letters; the mm-eval copy renders un-lettered choice texts ('Choose between the following options: X, or Y.') and stores the full choice text as answer, so grading is deterministic matching of the chosen option text rather than a letter compare. Rows carry extra field 'question_type' with SAT category names (obj_movement, action_sequence, ...) that are NOT scorer vocabulary — the scorer must ignore them (unrecognized values fall through to gt-shape per spec)."
},
"prompt_template": "{% for i in range(n_images) %}<image>{% endfor %}{{ question }} Choose between the following options: {% for c in choices %}{{ c }}{% if not loop.last %}, or {% endif %}{% endfor %}.",
"prompt_template_source": {
"origin": "official",
"reference": "https://arxiv.org/pdf/2412.07755 (SAT paper, Appendix A.3, Question-answer format, p.21)",
"notes": "Tier 1: SAT paper Appendix specifies the binary-choice text format with <image> tokens at start; LLaVA conversation scaffolding is dropped (handled by inference backend)."
},
"mapping_from_source": {
"media": {
"from": "media",
"type": "list",
"min_items": 1,
"max_items": 2
},
"id": {
"from": "id"
},
"question": {
"from": "question"
},
"answer": {
"from": "answer",
"optional": true
},
"choices": {
"from": "choices"
},
"extra": {
"question_type": {
"from": "question_type"
},
"n_images": {
"from": "n_images"
}
},
"source": {
"format": "huggingface",
"url": {
"real_test": "https://huggingface.co/datasets/array/SAT"
}
}
}
},
"synthetic": {
"language": [
"en"
],
"modalities": [
"multi_image_start"
],
"task_type": "multiple_choice_qa",
"score_pipeline": [
"exact-match",
"rule-match"
],
"score_protocol": {
"reference": "lmms-eval@lmms_eval/tasks/sat/sat.yaml:17-31 + utils.py (MultiChoiceRegexFilter) — same deterministic choice-matching protocol as the real subset; no LLM.",
"note": "Same as SAT/real: full-text answers instead of letters; extra 'question_type' field carries SAT category names, not scorer vocabulary. lmms-eval's sat task evaluates the (nv-njb/SAT) test set; the org ships real (150 rows) and synthetic (4001 rows) as separate configs from array/SAT."
},
"prompt_template": "{% for i in range(n_images) %}<image>{% endfor %}{{ question }} Choose between the following options: {% for c in choices %}{{ c }}{% if not loop.last %}, or {% endif %}{% endfor %}.",
"prompt_template_source": {
"origin": "official",
"reference": "https://arxiv.org/pdf/2412.07755 (SAT paper, Appendix A.3, Question-answer format, p.21)",
"notes": "Tier 1: SAT paper Appendix specifies the binary-choice text format with <image> tokens at start; LLaVA conversation scaffolding is dropped (handled by inference backend)."
},
"mapping_from_source": {
"media": {
"from": "media",
"type": "list",
"min_items": 1,
"max_items": 2
},
"id": {
"from": "id"
},
"question": {
"from": "question"
},
"answer": {
"from": "answer",
"optional": true
},
"choices": {
"from": "choices"
},
"extra": {
"question_type": {
"from": "question_type"
},
"n_images": {
"from": "n_images"
}
},
"source": {
"format": "huggingface",
"url": {
"synthetic_test": "https://huggingface.co/datasets/array/SAT"
}
}
}
}
}
} |