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

metadata.json

@@ -1,61 +1,63 @@
 {
- "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"
-     }
+  "name": "WildVision-Bench",
+  "release_date": "2024-06-17",
+  "subsets": {
+    "main": {
+      "language": [
+        "en"
+      ],
+      "modalities": [
+        "single_image_start"
+      ],
+      "task_type": "open_ended_qa",
+      "score_pipeline": [
+        "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"
+          }
+        }
+      }
     }
-   }
   }
- }
-}
+}