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"name": "TextCaps",
"release_date": "2020-03-24",
"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/textcaps/textcaps_val.yaml:19-27 + utils.py (same pycocoevalcap scorer set: Bleu1-4, METEOR, ROUGE_L, CIDEr; SPICE commented out) — TextCaps paper headline is CIDEr over 5 references.",
"note": "Corpus-level metrics; no per-sample correctness. SPICE disabled in frameworks, excluded here. mm-eval copy stores 5 reference captions per image (rows verified). mm-eval prompt uses VLMEvalKit one-sentence caption prompt while the source question column carries lmms-eval's 'come up with a caption' phrasing."
},
"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": "question_id"
},
"question": {
"from": "question"
},
"answer": {
"from": "reference_strs",
"optional": true
},
"extra": {
"image_id": {
"from": "image_id"
},
"image_classes": {
"from": "image_classes"
}
},
"source": {
"format": "huggingface",
"url": {
"val": "https://huggingface.co/datasets/lmms-lab/TextCaps"
}
}
},
"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 TextCaps captioning prompt."
}
}
}
} |