| { | |
| "name": "MaRVL", | |
| "release_date": "2021-09-29", | |
| "subsets": { | |
| "main": { | |
| "language": [ | |
| "en" | |
| ], | |
| "modalities": [ | |
| "multi_image_interleave" | |
| ], | |
| "task_type": "yes_no_qa", | |
| "score_pipeline": [ | |
| "exact-match", | |
| "rule-match" | |
| ], | |
| "score_protocol": { | |
| "reference": "Official: Liu et al., EMNLP 2021 (MaRVL paper, arXiv 2109.13238 — 'the task consists of discriminating whether each grounded statement is true or false', scored by accuracy; abstract re-verified 2026-07-07) — eval code in github.com/marvl-challenge/marvl-code (experiments/ per-model, per-language test scripts; repo tree re-verified 2026-07-07). Deterministic label comparison, no LLM.", | |
| "note": "Published ground truth is a JSON BOOLEAN (true/false), not a string — must be normalized to 'True'/'False' to match the prompt's requested output ('Answer with only \"True\" or \"False\"'). Official reporting is per-language accuracy; the org ships 5 language HF splits (id/sw/ta/tr/zh) under one subset. Metadata's cited lmms-eval tasks/marvl/utils.py does not exist in current lmms-eval main." | |
| }, | |
| "prompt_template": "<image><image>Statement: {{ question }}\nIs the statement True or False based on the two images? Answer with only \"True\" or \"False\".", | |
| "mapping_from_source": { | |
| "media": { | |
| "from": "images", | |
| "type": "list", | |
| "min_items": 2, | |
| "max_items": 2 | |
| }, | |
| "id": { | |
| "from": "id" | |
| }, | |
| "question": { | |
| "from": "hypothesis" | |
| }, | |
| "answer": { | |
| "from": "label", | |
| "optional": true | |
| }, | |
| "extra": { | |
| "hypothesis_en": { | |
| "from": "hypothesis_en" | |
| }, | |
| "language": { | |
| "from": "language" | |
| }, | |
| "chapter": { | |
| "from": "chapter" | |
| }, | |
| "concept": { | |
| "from": "concept" | |
| }, | |
| "left_img_id": { | |
| "from": "left_img_id" | |
| }, | |
| "right_img_id": { | |
| "from": "right_img_id" | |
| } | |
| }, | |
| "source": { | |
| "format": "huggingface", | |
| "url": { | |
| "id": "https://huggingface.co/datasets/floschne/marvl", | |
| "sw": "https://huggingface.co/datasets/floschne/marvl", | |
| "ta": "https://huggingface.co/datasets/floschne/marvl", | |
| "tr": "https://huggingface.co/datasets/floschne/marvl", | |
| "zh": "https://huggingface.co/datasets/floschne/marvl" | |
| } | |
| } | |
| }, | |
| "prompt_template_source": { | |
| "origin": "fallback", | |
| "reference": "T-yesno-adapted (statement True/False verification, mm-eval convention)", | |
| "notes": "Tier 5: MaRVL's own eval targets finetuned classifiers (no model-input prompt); no VLMEvalKit/lmms-eval task exists. The third-party M5B suite publishes a Yes/No variant (github.com/floschne/m5b src/m5b/data/lit_marvl_wds.py#L43) but M5B is not an established tier source and its Yes/No format conflicts with the boolean True/False gt shipped here — kept the deployed True/False template as an explicit fallback. Fixed 2026-07-07 (previous citation pointed at a nonexistent lmms-eval task)." | |
| } | |
| } | |
| } | |
| } |