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

metadata.json

@@ -1,89 +1,92 @@
 {
- "name": "EndoBench",
- "release_date": "2026-07-07",
- "subsets": {
-  "main": {
-   "language": [
-    "en"
-   ],
-   "modalities": [
-    "single_image_start"
-   ],
-   "task_type": "multiple_choice_qa",
-   "score_type": "llm_extract",
-   "score_protocol": {
-    "reference": "official@arXiv:2505.23601 / github.com/CUHK-AIM-Group/EndoBench (evaluated via VLMEvalKit) — MCQ evaluation extracts the selected option by string matching first, and if that fails an LLM (GPT) is prompted to extract the chosen option (VLMEvalKit rule-first, LLM-extract fallback).",
-    "note": "MCQ over up to 6 options (A-F, variable per row; A/B always present). Gold answer is the option letter. Re-converted 2026-07-07 to restore the options block (source columns A-F) and an MCQ prompt that were missing in the first published copy."
-   },
-   "prompt_template": "<image>Question: {{ question }}\nOptions:\n{% for k, v in options.items() %}{{ k }}. {{ v }}\n{% endfor %}Please select the correct answer from the options above. \n",
-   "prompt_template_source": {
-    "origin": "official",
-    "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_mcq.py (ImageMCQDataset.build_prompt: Question + 'Options:' block + 'Please select the correct answer from the options above.')",
-    "notes": "Tier 3: EndoBench's official repo (github.com/CUHK-AIM-Group/EndoBench) evaluates via VLMEvalKit (run.py --data EndoBench); VLMEvalKit ImageMCQDataset.build_prompt is the canonical MCQ prompt. Dataset authors publish no standalone model-input prompt string."
-   },
-   "mapping_from_source": {
-    "source": {
-     "format": "huggingface",
-     "url": {
-      "test": "https://huggingface.co/datasets/Saint-lsy/EndoBench"
-     }
-    },
-    "id": {
-     "from": "index"
-    },
-    "question": {
-     "from": "question"
-    },
-    "choices": [
-     {
-      "key": "A",
-      "from": "A"
-     },
-     {
-      "key": "B",
-      "from": "B"
-     },
-     {
-      "key": "C",
-      "from": "C",
-      "optional": true
-     },
-     {
-      "key": "D",
-      "from": "D",
-      "optional": true
-     },
-     {
-      "key": "E",
-      "from": "E",
-      "optional": true
-     },
-     {
-      "key": "F",
-      "from": "F",
-      "optional": true
-     }
-    ],
-    "answer": {
-     "from": "answer",
-     "optional": true,
-     "note": "Option letter (A-F)."
-    },
-    "media": {
-     "from": "image",
-     "type": "list",
-     "min_items": 1,
-     "max_items": 1
-    },
-    "extra": {
-     "category": {
-      "from": "category"
-     },
-     "task": {
-      "from": "task"
-     }
+  "name": "EndoBench",
+  "release_date": "2026-07-07",
+  "subsets": {
+    "main": {
+      "language": [
+        "en"
+      ],
+      "modalities": [
+        "single_image_start"
+      ],
+      "task_type": "multiple_choice_qa",
+      "score_pipeline": [
+        "rule-match",
+        "llm-match"
+      ],
+      "score_protocol": {
+        "reference": "official@arXiv:2505.23601 / github.com/CUHK-AIM-Group/EndoBench (evaluated via VLMEvalKit) — MCQ evaluation extracts the selected option by string matching first, and if that fails an LLM (GPT) is prompted to extract the chosen option (VLMEvalKit rule-first, LLM-extract fallback).",
+        "note": "MCQ over up to 6 options (A-F, variable per row; A/B always present). Gold answer is the option letter. Re-converted 2026-07-07 to restore the options block (source columns A-F) and an MCQ prompt that were missing in the first published copy."
+      },
+      "prompt_template": "<image>Question: {{ question }}\nOptions:\n{% for k, v in options.items() %}{{ k }}. {{ v }}\n{% endfor %}Please select the correct answer from the options above. \n",
+      "prompt_template_source": {
+        "origin": "official",
+        "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_mcq.py (ImageMCQDataset.build_prompt: Question + 'Options:' block + 'Please select the correct answer from the options above.')",
+        "notes": "Tier 3: EndoBench's official repo (github.com/CUHK-AIM-Group/EndoBench) evaluates via VLMEvalKit (run.py --data EndoBench); VLMEvalKit ImageMCQDataset.build_prompt is the canonical MCQ prompt. Dataset authors publish no standalone model-input prompt string."
+      },
+      "mapping_from_source": {
+        "source": {
+          "format": "huggingface",
+          "url": {
+            "test": "https://huggingface.co/datasets/Saint-lsy/EndoBench"
+          }
+        },
+        "id": {
+          "from": "index"
+        },
+        "question": {
+          "from": "question"
+        },
+        "choices": [
+          {
+            "key": "A",
+            "from": "A"
+          },
+          {
+            "key": "B",
+            "from": "B"
+          },
+          {
+            "key": "C",
+            "from": "C",
+            "optional": true
+          },
+          {
+            "key": "D",
+            "from": "D",
+            "optional": true
+          },
+          {
+            "key": "E",
+            "from": "E",
+            "optional": true
+          },
+          {
+            "key": "F",
+            "from": "F",
+            "optional": true
+          }
+        ],
+        "answer": {
+          "from": "answer",
+          "optional": true,
+          "note": "Option letter (A-F)."
+        },
+        "media": {
+          "from": "image",
+          "type": "list",
+          "min_items": 1,
+          "max_items": 1
+        },
+        "extra": {
+          "category": {
+            "from": "category"
+          },
+          "task": {
+            "from": "task"
+          }
+        }
+      }
     }
-   }
   }
- }
-}
+}