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

metadata.json

@@ -1,63 +1,66 @@
 {
- "name": "OCRBench",
- "release_date": "2026-07-07",
- "subsets": {
-  "main": {
-   "language": [
-    "en"
-   ],
-   "modalities": [
-    "single_image_start"
-   ],
-   "task_type": "short_answer_qa",
-   "score_type": "rule",
-   "score_params": {
-    "string_match": "contains"
-   },
-   "score_protocol": {
-    "reference": "VLMEvalKit@vlmeval/dataset/utils/ocrbench.py:8-42 and lmms-eval@lmms_eval/tasks/ocrbench/utils.py:33-66 (both mirroring official Yuliang-Liu/MultimodalOCR eval) — lowercase, newline-normalized substring containment of ANY of the ground-truth alternatives in the prediction (answer is a list; VLMEvalKit ocrbench.py:29-42, lmms-eval utils.py:39-62); HME100k category is case-sensitive with all spaces stripped.",
-    "note": "Official headline is Final Score out of 1000 (sum of correct over 10 categories, VLMEvalKit ocrbench.py:44-60) = per-sample accuracy x1000. Re-converted 2026-07-07: answer now preserves the full official list of acceptable alternatives (148/1000 rows have >1; the earlier copy space-joined them into one unmatched string), and the official 10-way category (question_type) plus upstream source-dataset field are restored, enabling the per-category breakdown and the HME100k special case (source_dataset == 'HME100k': case-sensitive containment with all spaces stripped, lmms-eval utils.py:39-50) which the generic lowercase-contains rule does not itself apply."
-   },
-   "prompt_template": "<image>{{ question }}",
-   "prompt_template_source": {
-    "origin": "official",
-    "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/ocrbench/utils.py (ocrbench_doc_to_text — bare question; OCR-specific evaluation handled at scoring)",
-    "notes": "Tier 4: lmms-eval OCRBench canonical evaluation prompt."
-   },
-   "mapping_from_source": {
-    "media": {
-     "from": "image",
-     "type": "list",
-     "min_items": 1,
-     "max_items": 1
-    },
-    "id": {
-     "from": "id",
-     "note": "Stringified 0-based row index of the official echo840/OCRBench test split (the source ships no id column); identical to the previously published ids."
-    },
-    "question": {
-     "from": "question"
-    },
-    "answer": {
-     "from": "answer",
-     "optional": true,
-     "note": "Kept as the full official list of acceptable alternatives (1-4 entries; 148/1000 rows have >1). Official graders score a hit when ANY alternative is contained in the prediction."
-    },
-    "extra": {
-     "question_type": {
-      "from": "question_type"
-     },
-     "source_dataset": {
-      "from": "dataset"
-     }
-    },
-    "source": {
-     "format": "json",
-     "url": {
-      "test": "https://huggingface.co/datasets/echo840/OCRBench"
-     }
+  "name": "OCRBench",
+  "release_date": "2026-07-07",
+  "subsets": {
+    "main": {
+      "language": [
+        "en"
+      ],
+      "modalities": [
+        "single_image_start"
+      ],
+      "task_type": "short_answer_qa",
+      "score_pipeline": [
+        "exact-match",
+        "rule-match"
+      ],
+      "score_params": {
+        "string_match": "contains"
+      },
+      "score_protocol": {
+        "reference": "VLMEvalKit@vlmeval/dataset/utils/ocrbench.py:8-42 and lmms-eval@lmms_eval/tasks/ocrbench/utils.py:33-66 (both mirroring official Yuliang-Liu/MultimodalOCR eval) — lowercase, newline-normalized substring containment of ANY of the ground-truth alternatives in the prediction (answer is a list; VLMEvalKit ocrbench.py:29-42, lmms-eval utils.py:39-62); HME100k category is case-sensitive with all spaces stripped.",
+        "note": "Official headline is Final Score out of 1000 (sum of correct over 10 categories, VLMEvalKit ocrbench.py:44-60) = per-sample accuracy x1000. Re-converted 2026-07-07: answer now preserves the full official list of acceptable alternatives (148/1000 rows have >1; the earlier copy space-joined them into one unmatched string), and the official 10-way category (question_type) plus upstream source-dataset field are restored, enabling the per-category breakdown and the HME100k special case (source_dataset == 'HME100k': case-sensitive containment with all spaces stripped, lmms-eval utils.py:39-50) which the generic lowercase-contains rule does not itself apply."
+      },
+      "prompt_template": "<image>{{ question }}",
+      "prompt_template_source": {
+        "origin": "official",
+        "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/ocrbench/utils.py (ocrbench_doc_to_text — bare question; OCR-specific evaluation handled at scoring)",
+        "notes": "Tier 4: lmms-eval OCRBench canonical evaluation prompt."
+      },
+      "mapping_from_source": {
+        "media": {
+          "from": "image",
+          "type": "list",
+          "min_items": 1,
+          "max_items": 1
+        },
+        "id": {
+          "from": "id",
+          "note": "Stringified 0-based row index of the official echo840/OCRBench test split (the source ships no id column); identical to the previously published ids."
+        },
+        "question": {
+          "from": "question"
+        },
+        "answer": {
+          "from": "answer",
+          "optional": true,
+          "note": "Kept as the full official list of acceptable alternatives (1-4 entries; 148/1000 rows have >1). Official graders score a hit when ANY alternative is contained in the prediction."
+        },
+        "extra": {
+          "question_type": {
+            "from": "question_type"
+          },
+          "source_dataset": {
+            "from": "dataset"
+          }
+        },
+        "source": {
+          "format": "json",
+          "url": {
+            "test": "https://huggingface.co/datasets/echo840/OCRBench"
+          }
+        }
+      }
     }
-   }
   }
- }
-}
+}