{
  "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."
      }
    }
  }
}