metadata: migrate score_type -> score_pipeline (atomic stage contract; see mm-eval scorer docs/en/SCORING.md)

metadata.json

@@ -1,238 +1,252 @@
 {
- "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"
-     }
+  "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)."
+      }
     }
-   },
-   "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)."
-   }
   }
- }
-}
+}