| { | |
| "name": "CVQA", | |
| "release_date": "2024-06-08", | |
| "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:3065 (class CVQA(ImageMCQDataset)) + image_mcq.py:255-330 evaluate_heuristic -> utils/multiple_choice.py:475 mcq_vanilla_eval — exact letter matching first, GPT choice-extraction fallback, then rule compare; CVQA has no public official eval code (leaderboard), VLMEvalKit is the highest available tier.", | |
| "note": "mm-eval ships the local-language question variant (VLMEvalKit CVQA_LOC equivalent; translated_question/translated_options kept in extra). Official paper reports local-language and English-translated prompts as separate tracks." | |
| }, | |
| "prompt_template": "<image>Question: {{ question }}\nOptions:\n{% for k, v in options.items() %}{{ k }}. {{ v }}\n{% endfor %}Select the best answer to the above multiple-choice question based on the image. Respond with only the letter of the correct option (A, B, C, or D).\nThe best answer is: ", | |
| "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": { | |
| "translated_question": { | |
| "from": "translated_question" | |
| }, | |
| "translated_options": { | |
| "from": "translated_options" | |
| }, | |
| "subset": { | |
| "from": "subset" | |
| }, | |
| "category": { | |
| "from": "category" | |
| }, | |
| "image_type": { | |
| "from": "image_type" | |
| } | |
| }, | |
| "source": { | |
| "format": "huggingface", | |
| "url": { | |
| "test": "https://huggingface.co/datasets/afaji/cvqa" | |
| } | |
| } | |
| }, | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "VLMEvalKit vlmeval/dataset/image_mcq.py#L3088-L3123 (CVQA class build_prompt, byte-verified in clone)", | |
| "notes": "Tier 3: deployed the byte-verifiable VLMEvalKit CVQA prompt. The authors' paper (arXiv:2406.05967 §3) publishes a T1 prompt ('Question: {q} Options: {options} Short Answer:') whose options byte-format is under-specified in the paper text — flagged as an open question rather than deploying an invented rendering. Fixed 2026-07-07 (previous template cited a nonexistent lmms-eval task)." | |
| } | |
| } | |
| } | |
| } |