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

metadata.json

@@ -1,69 +1,71 @@
 {
- "name": "MMHal-Bench",
- "release_date": "2023-12-01",
- "subsets": {
-  "main": {
-   "language": [
-    "en"
-   ],
-   "modalities": [
-    "single_image_start"
-   ],
-   "task_type": "open_ended_qa",
-   "score_type": "llm_judge",
-   "score_params": {
-    "rubric": "scale",
-    "scale": [
-     0,
-     6
-    ],
-    "official_judge_model": "gpt-4",
-    "judge_inputs": [
-     "image_content"
-    ]
-   },
-   "score_protocol": {
-    "reference": "Official eval script https://huggingface.co/datasets/Shengcao1006/MMHal-Bench/blob/main/eval_gpt4.py (lines 94-96: judge template consumes image_content, question, gt_answer, model_answer) — GPT-4 rates each response 0-6 (informativeness x hallucination rubric: 0-2 = hallucination present, 3-6 = none). Not implemented in VLMEvalKit or lmms-eval.",
-    "note": "Official headline = average rating (0-6) AND hallucination rate = fraction of responses rated 0-2, with per-question-type breakdown (8 types x 12 questions, 96 rows). Per-sample binary grading deviates. Rows carry the image_content object list (extra) that the official judge template interpolates. Per-row question_type extra carries MMHal categories (attribute/relation/holistic/other...), NOT scorer vocabulary — scorer must not treat it as a question_type signal."
-   },
-   "prompt_template": "<image>{{ question }}",
-   "prompt_template_source": {
-    "origin": "official",
-    "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_vqa.py (MMHal-Bench — judge-scored; bare question)",
-    "notes": "Tier 3: MMHal-Bench judge-scored eval: bare question per the official MMHal-Bench paper."
-   },
-   "mapping_from_source": {
-    "media": {
-     "from": "image",
-     "type": "list",
-     "min_items": 1,
-     "max_items": 1
-    },
-    "id": {
-     "from": "image_id"
-    },
-    "question": {
-     "from": "question"
-    },
-    "answer": {
-     "from": "gt_answer",
-     "optional": true
-    },
-    "extra": {
-     "question_type": {
-      "from": "question_type"
-     },
-     "image_content": {
-      "from": "image_content"
-     }
-    },
-    "source": {
-     "format": "json",
-     "url": {
-      "test": "https://huggingface.co/datasets/Shengcao1006/MMHal-Bench"
-     }
+  "name": "MMHal-Bench",
+  "release_date": "2023-12-01",
+  "subsets": {
+    "main": {
+      "language": [
+        "en"
+      ],
+      "modalities": [
+        "single_image_start"
+      ],
+      "task_type": "open_ended_qa",
+      "score_pipeline": [
+        "llm-judge"
+      ],
+      "score_params": {
+        "rubric": "scale",
+        "scale": [
+          0,
+          6
+        ],
+        "official_judge_model": "gpt-4",
+        "judge_inputs": [
+          "image_content"
+        ]
+      },
+      "score_protocol": {
+        "reference": "Official eval script https://huggingface.co/datasets/Shengcao1006/MMHal-Bench/blob/main/eval_gpt4.py (lines 94-96: judge template consumes image_content, question, gt_answer, model_answer) — GPT-4 rates each response 0-6 (informativeness x hallucination rubric: 0-2 = hallucination present, 3-6 = none). Not implemented in VLMEvalKit or lmms-eval.",
+        "note": "Official headline = average rating (0-6) AND hallucination rate = fraction of responses rated 0-2, with per-question-type breakdown (8 types x 12 questions, 96 rows). Per-sample binary grading deviates. Rows carry the image_content object list (extra) that the official judge template interpolates. Per-row question_type extra carries MMHal categories (attribute/relation/holistic/other...), NOT scorer vocabulary — scorer must not treat it as a question_type signal."
+      },
+      "prompt_template": "<image>{{ question }}",
+      "prompt_template_source": {
+        "origin": "official",
+        "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_vqa.py (MMHal-Bench — judge-scored; bare question)",
+        "notes": "Tier 3: MMHal-Bench judge-scored eval: bare question per the official MMHal-Bench paper."
+      },
+      "mapping_from_source": {
+        "media": {
+          "from": "image",
+          "type": "list",
+          "min_items": 1,
+          "max_items": 1
+        },
+        "id": {
+          "from": "image_id"
+        },
+        "question": {
+          "from": "question"
+        },
+        "answer": {
+          "from": "gt_answer",
+          "optional": true
+        },
+        "extra": {
+          "question_type": {
+            "from": "question_type"
+          },
+          "image_content": {
+            "from": "image_content"
+          }
+        },
+        "source": {
+          "format": "json",
+          "url": {
+            "test": "https://huggingface.co/datasets/Shengcao1006/MMHal-Bench"
+          }
+        }
+      }
     }
-   }
   }
- }
-}
+}