{
  "name": "WHOOPS!",
  "release_date": "2023-03-13",
  "subsets": {
    "main": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "short_answer_qa",
      "score_pipeline": [
        "exact-match",
        "rule-match",
        "llm-judge"
      ],
      "score_protocol": {
        "reference": "WHOOPS! paper (Bitton-Guetta et al., ICCV 2023; arxiv 2303.07274) — the VQA sub-task is graded with BEM (BERT-based answer-equivalence classifier judging prediction vs reference correct/incorrect), reported alongside exact match. mm-eval ships the VQA sub-task (WHOOPS.json explodes `qa` into question/answer).",
        "note": "Official headline metric is BEM (learned BERT answer-equivalence), not a rule or an LLM judge. Modeled as rule_llm_judge (exact match short-circuit + LLM judge for semantic equivalence) as the closest reproducible analog; results will differ numerically from BEM. WHOOPS also has captioning/explanation/matching sub-tasks not shipped here."
      },
      "prompt_template": "<image>{{ question }}\nAnswer the question using a single word or phrase.",
      "mapping_from_source": {
        "media": {
          "from": "image",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id",
          "explode_from": "qa",
          "id_template": "{id}_q{idx}"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "commonsense_category": {
            "from": "commonsense_category"
          },
          "designer_explanation": {
            "from": "designer_explanation"
          }
        },
        "source": {
          "format": "huggingface",
          "url": {
            "test": "https://huggingface.co/datasets/nlphuji/whoops"
          }
        }
      },
      "prompt_template_source": {
        "origin": "fallback",
        "reference": "T1",
        "notes": "Tier 5: no higher tier publishes a prompt. T1: whoops-benchmark.github.io and the ICCV 2023 paper publish no reusable model-input prompt (paper VQA numbers use BLIP2 whose 'Question: {} Short answer:' is BLIP2's own convention, not a WHOOPS-authored prompt); T2: no prompt column in nlphuji/whoops; T3: no VLMEvalKit whoops; T4: no lmms-eval tasks/whoops (clone @047ec52). Template is the canonical single-image short-answer fallback."
      }
    }
  }
}