NoCaps / metadata.json
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metadata: migrate score_type -> score_pipeline (atomic stage contract; see mm-eval scorer docs/en/SCORING.md)
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{
"name": "NoCaps",
"release_date": "2026-05-15",
"subsets": {
"main": {
"language": [
"en"
],
"modalities": [
"single_image_start"
],
"task_type": "captioning",
"score_pipeline": {
"unsupported": "caption-metrics",
"reason": "requires corpus-level caption metrics (CIDEr/BLEU/ROUGE/BERTScore); use the benchmark's own evaluator"
},
"score_params": {
"metrics": [
"cider",
"bleu4",
"meteor",
"rouge_l"
]
},
"score_protocol": {
"reference": "lmms-eval@lmms_eval/tasks/nocaps/utils.py:13,42-83 + nocaps_val.yaml:19-27 — pycocoevalcap corpus scoring (Bleu1-4, METEOR, ROUGE_L, CIDEr; SPICE commented out) against reference captions; VLMEvalKit@vlmeval/dataset/image_caption.py:6-38 same COCO_Caption_Scorer (Bleu/Rouge/CIDEr).",
"note": "Corpus-level metrics; no per-sample correctness exists. NoCaps paper headline is CIDEr(+SPICE); SPICE is disabled in both frameworks (Java dep) and excluded here. mm-eval copy stores 10 reference captions per image (rows verified), matching official annotations."
},
"prompt_template": "<image>Provide a one-sentence caption for the provided image.",
"mapping_from_source": {
"media": {
"from": "image",
"type": "list",
"min_items": 1,
"max_items": 1
},
"id": {
"from": "image_id"
},
"question": {
"from": "image_file_name"
},
"answer": {
"from": "annotations_captions",
"optional": true
},
"extra": {
"image_coco_url": {
"from": "image_coco_url"
},
"image_open_images_id": {
"from": "image_open_images_id"
}
},
"source": {
"format": "json",
"url": {
"validation": "https://huggingface.co/datasets/lmms-lab/NoCaps"
}
}
},
"prompt_template_source": {
"origin": "official",
"reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_caption.py (ImageCaptionDataset canonical caption prompt)",
"notes": "Tier 3: VLMEvalKit ImageCaptionDataset canonical NoCaps captioning prompt."
}
}
}
}