Add manifest (metadata.json)

metadata.json

@@ -1,61 +1,61 @@
 {
-  "name": "WildVision-Bench",
-  "release_date": "2024-06-17",
-  "subsets": {
-    "main": {
-      "language": [
-        "en"
-      ],
-      "modalities": [
-        "single_image_start"
-      ],
-      "task_type": "free_form",
-      "score_type": "llm_judge",
-      "score_params": {
-        "rubric": "scale",
-        "scale": [
-          -2,
-          2
-        ],
-        "official_judge_model": "gpt-4o"
-      },
-      "score_protocol": {
-        "reference": "VLMEvalKit@vlmeval/dataset/wildvision.py:15-56,96-220 — GPT-4o judge with arena-style system prompt compares claude-3-sonnet reference (A) vs model (B), 5-way verdict A>>B..B>>A mapped to -2..2; headline Reward = (100*much_better + 50*better - 50*worse - 100*much_worse)/n and win rate. Reference answers: official WildVision-AI/WildVision-Bench GitHub data/vision_bench_0617/model_answers/claude-3-sonnet-20240229.jsonl (byte-identical to the claude3_sonnet column of VLMEvalKit WildVision.tsv, md5 b38f80156d49411c594772866b0d0b52).",
-        "note": "Official protocol is PAIRWISE preference vs a stored claude-3-sonnet reference answer with win-rate/reward headline — not absolute per-sample grading. Fixed 2026-07-07: per-row `reference_response` extra now carries the claude-3-sonnet-20240229 reference answer. Coverage: test_0617 = 500/500 (official answers file covers exactly this split; VLMEvalKit's 500-sample WildVision set is the 0617 set). test_0701 = 191/500 (only the rows shared with 0617; no public claude-3-sonnet answers exist for the remaining 309 rows — the WildVision org repo carrying model responses, WildVision/wildvision-arena-data, is gated, ships only 0617-era responses, and the official GitHub repo has no 0701 answers). Rows without a reference omit the field. The source questions ship no ground-truth answer column, so `answer` is empty by design."
-      },
-      "prompt_template": "<image>{{ question }}",
-      "prompt_template_source": {
-        "origin": "official",
-        "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_vqa.py (WildVision-Bench — judge-scored; bare question)",
-        "notes": "Tier 3: WildVision-Bench judge-scored eval: bare question per the official WildVision-Bench paper."
-      },
-      "mapping_from_source": {
-        "media": {
-          "from": "image",
-          "type": "list",
-          "min_items": 1,
-          "max_items": 1
-        },
-        "id": {
-          "from": "question_id"
-        },
-        "question": {
-          "from": "instruction"
-        },
-        "extra": {
-          "reference_response": {
-            "from": "claude3_sonnet",
-            "note": "claude-3-sonnet-20240229 reference answer joined by question_id from the official WildVision-Bench GitHub answers file (data/vision_bench_0617/model_answers/claude-3-sonnet-20240229.jsonl); present on 500/500 test_0617 rows and 191/500 test_0701 rows (rows absent from the 0617 answer set omit the field)."
-          }
-        },
-        "source": {
-          "format": "json",
-          "url": {
-            "test_0701": "https://huggingface.co/datasets/WildVision/wildvision-bench",
-            "test_0617": "https://huggingface.co/datasets/WildVision/wildvision-bench"
-          }
-        }
-      }
+ "name": "WildVision-Bench",
+ "release_date": "2024-06-17",
+ "subsets": {
+  "main": {
+   "language": [
+    "en"
+   ],
+   "modalities": [
+    "single_image_start"
+   ],
+   "task_type": "open_ended_qa",
+   "score_type": "llm_judge",
+   "score_params": {
+    "rubric": "scale",
+    "scale": [
+     -2,
+     2
+    ],
+    "official_judge_model": "gpt-4o"
+   },
+   "score_protocol": {
+    "reference": "VLMEvalKit@vlmeval/dataset/wildvision.py:15-56,96-220 — GPT-4o judge with arena-style system prompt compares claude-3-sonnet reference (A) vs model (B), 5-way verdict A>>B..B>>A mapped to -2..2; headline Reward = (100*much_better + 50*better - 50*worse - 100*much_worse)/n and win rate. Reference answers: official WildVision-AI/WildVision-Bench GitHub data/vision_bench_0617/model_answers/claude-3-sonnet-20240229.jsonl (byte-identical to the claude3_sonnet column of VLMEvalKit WildVision.tsv, md5 b38f80156d49411c594772866b0d0b52).",
+    "note": "Official protocol is PAIRWISE preference vs a stored claude-3-sonnet reference answer with win-rate/reward headline — not absolute per-sample grading. Fixed 2026-07-07: per-row `reference_response` extra now carries the claude-3-sonnet-20240229 reference answer. Coverage: test_0617 = 500/500 (official answers file covers exactly this split; VLMEvalKit's 500-sample WildVision set is the 0617 set). test_0701 = 191/500 (only the rows shared with 0617; no public claude-3-sonnet answers exist for the remaining 309 rows — the WildVision org repo carrying model responses, WildVision/wildvision-arena-data, is gated, ships only 0617-era responses, and the official GitHub repo has no 0701 answers). Rows without a reference omit the field. The source questions ship no ground-truth answer column, so `answer` is empty by design."
+   },
+   "prompt_template": "<image>{{ question }}",
+   "prompt_template_source": {
+    "origin": "official",
+    "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_vqa.py (WildVision-Bench — judge-scored; bare question)",
+    "notes": "Tier 3: WildVision-Bench judge-scored eval: bare question per the official WildVision-Bench paper."
+   },
+   "mapping_from_source": {
+    "media": {
+     "from": "image",
+     "type": "list",
+     "min_items": 1,
+     "max_items": 1
+    },
+    "id": {
+     "from": "question_id"
+    },
+    "question": {
+     "from": "instruction"
+    },
+    "extra": {
+     "reference_response": {
+      "from": "claude3_sonnet",
+      "note": "claude-3-sonnet-20240229 reference answer joined by question_id from the official WildVision-Bench GitHub answers file (data/vision_bench_0617/model_answers/claude-3-sonnet-20240229.jsonl); present on 500/500 test_0617 rows and 191/500 test_0701 rows (rows absent from the 0617 answer set omit the field)."
+     }
+    },
+    "source": {
+     "format": "json",
+     "url": {
+      "test_0701": "https://huggingface.co/datasets/WildVision/wildvision-bench",
+      "test_0617": "https://huggingface.co/datasets/WildVision/wildvision-bench"
+     }
     }
+   }
   }
-}
+ }
+}