Add manifest (metadata.json)

metadata.json

@@ -1,66 +1,69 @@
 {
-  "name": "MMHal-Bench",
-  "release_date": "2023-12-01",
-  "subsets": {
-    "main": {
-      "language": [
-        "en"
-      ],
-      "modalities": [
-        "single_image_start"
-      ],
-      "task_type": "free_form",
-      "score_type": "llm_judge",
-      "score_params": {
-        "rubric": "scale",
-        "scale": [
-          0,
-          6
-        ],
-        "official_judge_model": "gpt-4"
-      },
-      "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_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"
+     }
     }
+   }
   }
-}
+ }
+}