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d02544d a529530 d02544d a529530 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | {
"name": "MathVista",
"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": "lmms-eval@lmms_eval/tasks/mathvista/mathvista_evals.py:218-266 — rule extraction first (direct choice match, int/float parse), GPT extraction fallback via DEMO_PROMPT; utils.py:48-62 normalize_extracted_answer + safe_equal rule compare. Mirrors official lupantech/MathVista (evaluation/extract_answer.py + calculate_score.py). [Re-verified in clone 2026-07-07: extract_answer at mathvista_evals.py:221-266, process_results/normalize/safe_equal at utils.py:48-64.]",
"note": "Official float normalization rounds the extracted value to a per-row `precision` column (mathvista/utils.py:60); the mm-eval copy ships answer_type but not precision (the required precision is only stated in the hint text baked into the question). Mixed MCQ/free-form subset: MAJORITY format is multi_choice (540/1000 vs 460 free_form); per-sample question_type carries the split."
},
"prompt_template": "<image>{{ question }}",
"mapping_from_source": {
"media": {
"from": "decoded_image",
"type": "list",
"min_items": 1,
"max_items": 1
},
"id": {
"from": "pid"
},
"question": {
"from": "query",
"note": "use upstream `query` field (pre-built format-prompt with hint + question)"
},
"answer": {
"from": "answer",
"optional": true
},
"extra": {
"question_type": {
"from": "question_type"
},
"answer_type": {
"from": "answer_type"
}
},
"source": {
"format": "json",
"url": {
"testmini": "https://huggingface.co/datasets/AI4Math/MathVista"
}
}
},
"prompt_template_source": {
"origin": "official",
"reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/mathvista/utils.py (mathvista_doc_to_text — uses 'query' column which is pre-rendered)",
"notes": "Tier 4: lmms-eval MathVista canonical: pre-rendered 'query' column from source; template is bare to forward unchanged."
}
}
}
} |