Add manifest (metadata.json)

metadata.json

@@ -1,89 +1,89 @@
 {
-  "name": "EndoBench",
-  "release_date": "2026-07-07",
-  "subsets": {
-    "main": {
-      "language": [
-        "en"
-      ],
-      "modalities": [
-        "single_image_start"
-      ],
-      "task_type": "multiple_choice",
-      "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_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"
+     }
     }
+   }
   }
-}
+ }
+}