Add manifest (metadata.json)

metadata.json

@@ -1,56 +1,56 @@
 {
-  "name": "MMVP",
-  "release_date": "2024-01-01",
-  "subsets": {
-    "main": {
-      "language": [
-        "en"
-      ],
-      "modalities": [
-        "single_image_start"
-      ],
-      "task_type": "multiple_choice",
-      "score_type": "llm_extract",
-      "score_protocol": {
-        "reference": "vlmevalkit@vlmeval/dataset/image_mcq.py:249-324 (ImageMCQDataset.evaluate_heuristic) -> vlmevalkit@vlmeval/dataset/utils/multiple_choice.py:475-508 mcq_vanilla_eval: can_infer rule prefetch, then GPT extractor (extract_answer_from_item @vlmeval/dataset/utils/multiple_choice.py:359-407) maps verbose output to a letter, rule-compare vs GT; MMVP registered @vlmeval/dataset/image_mcq.py:121; headline via report_acc_MMVP @vlmeval/dataset/utils/multiple_choice.py:613-622: pairs of consecutive rows (2i, 2i+1) — 'Overall' counts a pair only if BOTH hits are 1",
-        "note": "Official headline 'Overall' is PAIR accuracy (a CLIP-blind pair scores only if both questions are correct); a per-sample scorer reports per-question accuracy, systematically higher. Pair = consecutive ids (mm-eval ids 1..300, pair k = ids 2k-1 & 2k). GT stored as lowercase parenthesized letters '(a)'/'(b)' with options in options_text ('(a) Open (b) Closed'); matcher must normalize case/parens."
-      },
-      "prompt_template": "<image>{{ question }} {{ options_text }}",
-      "prompt_template_source": {
-        "origin": "official",
-        "reference": "https://github.com/tsb0601/MMVP/blob/main/scripts/evaluate_mllm.py (cur_prompt = row['Question'] + ' ' + row['Options'])",
-        "notes": "Tier 1: MMVP official evaluation prompt per tsb0601/MMVP/scripts/evaluate_mllm.py line 59: cur_prompt = row['Question'] + ' ' + row['Options']. No trailer is appended by the official script. Options field uses '(a) Open (b) Closed' inline format from the source CSV/HF parquet."
-      },
-      "mapping_from_source": {
-        "media": {
-          "from": "image",
-          "type": "list",
-          "min_items": 1,
-          "max_items": 1
-        },
-        "id": {
-          "from": "Index"
-        },
-        "question": {
-          "from": "Question"
-        },
-        "answer": {
-          "from": "Correct Answer",
-          "optional": true
-        },
-        "extra": {
-          "options_text": {
-            "from": "Options",
-            "note": "Pre-rendered options string in '(a) opt1 (b) opt2' format from MMVP source."
-          }
-        },
-        "source": {
-          "format": "huggingface",
-          "url": {
-            "test": "https://huggingface.co/datasets/lmms-lab-eval/MMVP"
-          }
-        }
-      }
+ "name": "MMVP",
+ "release_date": "2024-01-01",
+ "subsets": {
+  "main": {
+   "language": [
+    "en"
+   ],
+   "modalities": [
+    "single_image_start"
+   ],
+   "task_type": "multiple_choice_qa",
+   "score_type": "llm_extract",
+   "score_protocol": {
+    "reference": "vlmevalkit@vlmeval/dataset/image_mcq.py:249-324 (ImageMCQDataset.evaluate_heuristic) -> vlmevalkit@vlmeval/dataset/utils/multiple_choice.py:475-508 mcq_vanilla_eval: can_infer rule prefetch, then GPT extractor (extract_answer_from_item @vlmeval/dataset/utils/multiple_choice.py:359-407) maps verbose output to a letter, rule-compare vs GT; MMVP registered @vlmeval/dataset/image_mcq.py:121; headline via report_acc_MMVP @vlmeval/dataset/utils/multiple_choice.py:613-622: pairs of consecutive rows (2i, 2i+1) — 'Overall' counts a pair only if BOTH hits are 1",
+    "note": "Official headline 'Overall' is PAIR accuracy (a CLIP-blind pair scores only if both questions are correct); a per-sample scorer reports per-question accuracy, systematically higher. Pair = consecutive ids (mm-eval ids 1..300, pair k = ids 2k-1 & 2k). GT stored as lowercase parenthesized letters '(a)'/'(b)' with options in options_text ('(a) Open (b) Closed'); matcher must normalize case/parens."
+   },
+   "prompt_template": "<image>{{ question }} {{ options.options_text }}",
+   "prompt_template_source": {
+    "origin": "official",
+    "reference": "https://github.com/tsb0601/MMVP/blob/main/scripts/evaluate_mllm.py (cur_prompt = row['Question'] + ' ' + row['Options'])",
+    "notes": "Tier 1: MMVP official evaluation prompt per tsb0601/MMVP/scripts/evaluate_mllm.py line 59: cur_prompt = row['Question'] + ' ' + row['Options']. No trailer is appended by the official script. Options field uses '(a) Open (b) Closed' inline format from the source CSV/HF parquet."
+   },
+   "mapping_from_source": {
+    "media": {
+     "from": "image",
+     "type": "list",
+     "min_items": 1,
+     "max_items": 1
+    },
+    "id": {
+     "from": "Index"
+    },
+    "question": {
+     "from": "Question"
+    },
+    "answer": {
+     "from": "Correct Answer",
+     "optional": true
+    },
+    "extra": {
+     "options_text": {
+      "from": "Options",
+      "note": "Pre-rendered options string in '(a) opt1 (b) opt2' format from MMVP source."
+     }
+    },
+    "source": {
+     "format": "huggingface",
+     "url": {
+      "test": "https://huggingface.co/datasets/lmms-lab-eval/MMVP"
+     }
     }
+   }
   }
-}
+ }
+}