format v3: flat sample layout (top-level answer/question_type/pass-throughs), task_type v3 vocabulary, judge info consolidated in metadata score block. See dataset-upload skill references/mmeval-format.md and field-census-2026-07-08.md.

metadata.json

@@ -1,238 +1,238 @@
 {
-  "name": "TempCompass",
-  "release_date": "2024-06-01",
-  "subsets": {
-    "multi_choice": {
-      "language": [
-        "en"
-      ],
-      "modalities": [
-        "single_video_start"
-      ],
-      "task_type": "multiple_choice",
-      "score_type": "rule_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",
-      "score_type": "rule_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",
-      "score_type": "rule_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": "free_form",
-      "score_type": "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)."
-      }
+ "name": "TempCompass",
+ "release_date": "2024-06-01",
+ "subsets": {
+  "multi_choice": {
+   "language": [
+    "en"
+   ],
+   "modalities": [
+    "single_video_start"
+   ],
+   "task_type": "multiple_choice_qa",
+   "score_type": "rule_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_type": "rule_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_type": "rule_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_type": "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)."
+   }
   }
-}
+ }
+}