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

metadata.json

@@ -1,60 +1,64 @@
 {
- "name": "WHOOPS!",
- "release_date": "2023-03-13",
- "subsets": {
-  "main": {
-   "language": [
-    "en"
-   ],
-   "modalities": [
-    "single_image_start"
-   ],
-   "task_type": "short_answer_qa",
-   "score_type": "rule_llm_judge",
-   "score_protocol": {
-    "reference": "WHOOPS! paper (Bitton-Guetta et al., ICCV 2023; arxiv 2303.07274) — the VQA sub-task is graded with BEM (BERT-based answer-equivalence classifier judging prediction vs reference correct/incorrect), reported alongside exact match. mm-eval ships the VQA sub-task (WHOOPS.json explodes `qa` into question/answer).",
-    "note": "Official headline metric is BEM (learned BERT answer-equivalence), not a rule or an LLM judge. Modeled as rule_llm_judge (exact match short-circuit + LLM judge for semantic equivalence) as the closest reproducible analog; results will differ numerically from BEM. WHOOPS also has captioning/explanation/matching sub-tasks not shipped here."
-   },
-   "prompt_template": "<image>{{ question }}\nAnswer the question using a single word or phrase.",
-   "mapping_from_source": {
-    "media": {
-     "from": "image",
-     "type": "list",
-     "min_items": 1,
-     "max_items": 1
-    },
-    "id": {
-     "from": "id",
-     "explode_from": "qa",
-     "id_template": "{id}_q{idx}"
-    },
-    "question": {
-     "from": "question"
-    },
-    "answer": {
-     "from": "answer",
-     "optional": true
-    },
-    "extra": {
-     "commonsense_category": {
-      "from": "commonsense_category"
-     },
-     "designer_explanation": {
-      "from": "designer_explanation"
-     }
-    },
-    "source": {
-     "format": "huggingface",
-     "url": {
-      "test": "https://huggingface.co/datasets/nlphuji/whoops"
-     }
+  "name": "WHOOPS!",
+  "release_date": "2023-03-13",
+  "subsets": {
+    "main": {
+      "language": [
+        "en"
+      ],
+      "modalities": [
+        "single_image_start"
+      ],
+      "task_type": "short_answer_qa",
+      "score_pipeline": [
+        "exact-match",
+        "rule-match",
+        "llm-judge"
+      ],
+      "score_protocol": {
+        "reference": "WHOOPS! paper (Bitton-Guetta et al., ICCV 2023; arxiv 2303.07274) — the VQA sub-task is graded with BEM (BERT-based answer-equivalence classifier judging prediction vs reference correct/incorrect), reported alongside exact match. mm-eval ships the VQA sub-task (WHOOPS.json explodes `qa` into question/answer).",
+        "note": "Official headline metric is BEM (learned BERT answer-equivalence), not a rule or an LLM judge. Modeled as rule_llm_judge (exact match short-circuit + LLM judge for semantic equivalence) as the closest reproducible analog; results will differ numerically from BEM. WHOOPS also has captioning/explanation/matching sub-tasks not shipped here."
+      },
+      "prompt_template": "<image>{{ question }}\nAnswer the question using a single word or phrase.",
+      "mapping_from_source": {
+        "media": {
+          "from": "image",
+          "type": "list",
+          "min_items": 1,
+          "max_items": 1
+        },
+        "id": {
+          "from": "id",
+          "explode_from": "qa",
+          "id_template": "{id}_q{idx}"
+        },
+        "question": {
+          "from": "question"
+        },
+        "answer": {
+          "from": "answer",
+          "optional": true
+        },
+        "extra": {
+          "commonsense_category": {
+            "from": "commonsense_category"
+          },
+          "designer_explanation": {
+            "from": "designer_explanation"
+          }
+        },
+        "source": {
+          "format": "huggingface",
+          "url": {
+            "test": "https://huggingface.co/datasets/nlphuji/whoops"
+          }
+        }
+      },
+      "prompt_template_source": {
+        "origin": "fallback",
+        "reference": "T1",
+        "notes": "Tier 5: no higher tier publishes a prompt. T1: whoops-benchmark.github.io and the ICCV 2023 paper publish no reusable model-input prompt (paper VQA numbers use BLIP2 whose 'Question: {} Short answer:' is BLIP2's own convention, not a WHOOPS-authored prompt); T2: no prompt column in nlphuji/whoops; T3: no VLMEvalKit whoops; T4: no lmms-eval tasks/whoops (clone @047ec52). Template is the canonical single-image short-answer fallback."
+      }
     }
-   },
-   "prompt_template_source": {
-    "origin": "fallback",
-    "reference": "T1",
-    "notes": "Tier 5: no higher tier publishes a prompt. T1: whoops-benchmark.github.io and the ICCV 2023 paper publish no reusable model-input prompt (paper VQA numbers use BLIP2 whose 'Question: {} Short answer:' is BLIP2's own convention, not a WHOOPS-authored prompt); T2: no prompt column in nlphuji/whoops; T3: no VLMEvalKit whoops; T4: no lmms-eval tasks/whoops (clone @047ec52). Template is the canonical single-image short-answer fallback."
-   }
   }
- }
-}
+}