{
  "name": "TempCompass",
  "release_date": "2024-06-01",
  "subsets": {
    "multi_choice": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_video_start"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "exact-match",
        "rule-match",
        "llm-judge"
      ],
      "score_protocol": {
        "reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:115-172 (hand-crafted letter-match rules first; on failure ChatGPT judges Correct/Incorrect) + :480 (judge = gpt-3.5-turbo-1106) — mirrors official llyx97/TempCompass eval; vlmevalkit@vlmeval/dataset/tempcompass.py:63-260 (TempCompass_MCQ, DEFAULT_JUDGE chatgpt-1106) agrees.",
        "note": "Official judge model gpt-3.5-turbo-1106. Official reports accuracy per temporal dimension (extra.dim) and overall average across the four task formats; per-sample scoring reproduces per-subset accuracy only."
      },
      "prompt_template": "<video>{{ question }}\nPlease directly give the best option:",
      "mapping_from_source": {
        "media": {
          "from": "video_path",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "video_id": {
            "from": "video_id"
          },
          "dim": {
            "from": "dim"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "train": "https://huggingface.co/datasets/lmms-lab/TempCompass"
          }
        }
      },
      "video_storage": {
        "format": "files",
        "media_root": "videos",
        "notes": "410 videos from ShutterStock, distributed via lmms-lab/TempCompass HF repo. Includes original and conflicting (reversed/concatenated) videos for temporal perception testing."
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/tempcompass/_default_template_yaml (canonical per-subset post_prompts: multi-choice → 'Please directly give the best option:'; yes_no → 'Please answer yes or no:'; caption_matching → 'Please directly give the best option:')",
        "notes": "Tier 4: lmms-eval TempCompass canonical per-subset evaluation prompts."
      }
    },
    "yes_no": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_video_start"
      ],
      "task_type": "yes_no_qa",
      "score_pipeline": [
        "exact-match",
        "rule-match",
        "llm-judge"
      ],
      "score_protocol": {
        "reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:174-225 (extract_pred yes/no rule first; ChatGPT gpt-3.5-turbo-1106 judge fallback) — mirrors official llyx97/TempCompass; vlmevalkit@vlmeval/dataset/tempcompass.py:458-630 (TempCompass_YorN) agrees.",
        "note": "Official judge model gpt-3.5-turbo-1106; official aggregation is per-dim + cross-format average."
      },
      "prompt_template": "<video>{{ question }}\nPlease answer yes or no:",
      "mapping_from_source": {
        "media": {
          "from": "video_path",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "video_id": {
            "from": "video_id"
          },
          "dim": {
            "from": "dim"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "train": "https://huggingface.co/datasets/lmms-lab/TempCompass"
          }
        }
      },
      "video_storage": {
        "format": "files",
        "media_root": "videos",
        "notes": "410 videos from ShutterStock, distributed via lmms-lab/TempCompass HF repo. Includes original and conflicting (reversed/concatenated) videos for temporal perception testing."
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/tempcompass/_default_template_yaml (canonical per-subset post_prompts: multi-choice → 'Please directly give the best option:'; yes_no → 'Please answer yes or no:'; caption_matching → 'Please directly give the best option:')",
        "notes": "Tier 4: lmms-eval TempCompass canonical per-subset evaluation prompts."
      }
    },
    "caption_matching": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_video_start"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "exact-match",
        "rule-match",
        "llm-judge"
      ],
      "score_protocol": {
        "reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:227-277 (eval_rule deterministic caption-option matching first; ChatGPT gpt-3.5-turbo-1106 judge fallback) — mirrors official llyx97/TempCompass caption_matching eval.",
        "note": "Options are full caption sentences embedded in the question text (no options dict); official judge model gpt-3.5-turbo-1106."
      },
      "prompt_template": "<video>{{ question }}\nPlease directly give the best option:",
      "mapping_from_source": {
        "media": {
          "from": "video_path",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "video_id": {
            "from": "video_id"
          },
          "dim": {
            "from": "dim"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "train": "https://huggingface.co/datasets/lmms-lab/TempCompass"
          }
        }
      },
      "video_storage": {
        "format": "files",
        "media_root": "videos",
        "notes": "410 videos from ShutterStock, distributed via lmms-lab/TempCompass HF repo. Includes original and conflicting (reversed/concatenated) videos for temporal perception testing."
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/tempcompass/_default_template_yaml (canonical per-subset post_prompts: multi-choice → 'Please directly give the best option:'; yes_no → 'Please answer yes or no:'; caption_matching → 'Please directly give the best option:')",
        "notes": "Tier 4: lmms-eval TempCompass canonical per-subset evaluation prompts."
      }
    },
    "captioning": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_video_start"
      ],
      "task_type": "captioning",
      "score_pipeline": [
        "llm-judge"
      ],
      "score_params": {
        "rubric": "binary",
        "official_judge_model": "gpt-3.5-turbo-1106"
      },
      "score_protocol": {
        "reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:280-345 + :409 (every generated caption is graded by ChatGPT: the judge reads the caption and answers the row's mc_question; rating = 1 iff the judge's choice equals mc_answer) — official llyx97/TempCompass caption-generation eval.",
        "note": "Official protocol requires per-row mc_question and mc_answer; the mm-eval mapping keeps only answer/video_id/dim. The published answer column verified (captioning/data.json, 2026-07-07) to carry the mc_answer in letter+text form (e.g. 'C. pushing bikes up a hill'), but mc_question is NOT shipped — as published, the official caption-matching judge prompt cannot be reconstructed without re-fetching mc_question from lmms-lab/TempCompass. Not caption_metrics (no CIDEr/BLEU): grading is LLM-QA-based, binary per sample."
      },
      "prompt_template": "<video>{{ question }}",
      "mapping_from_source": {
        "media": {
          "from": "video_path",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "video_id": {
            "from": "video_id"
          },
          "dim": {
            "from": "dim"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "train": "https://huggingface.co/datasets/lmms-lab/TempCompass"
          }
        }
      },
      "video_storage": {
        "format": "files",
        "media_root": "videos",
        "notes": "410 videos from ShutterStock, distributed via lmms-lab/TempCompass HF repo. Includes original and conflicting (reversed/concatenated) videos for temporal perception testing."
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/tempcompass/_default_template_yaml (captioning task uses bare video+question)",
        "notes": "Tier 4: lmms-eval TempCompass captioning canonical prompt (no scaffold)."
      }
    }
  }
}