Add manifest (metadata.json)

metadata.json

@@ -1,63 +1,63 @@
 {
-  "name": "OCRBench",
-  "release_date": "2026-07-07",
-  "subsets": {
-    "main": {
-      "language": [
-        "en"
-      ],
-      "modalities": [
-        "single_image_start"
-      ],
-      "task_type": "short_answer",
-      "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_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"
+     }
     }
+   }
   }
-}
+ }
+}