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

metadata.json

@@ -1,66 +1,69 @@
 {
- "name": "TextCaps",
- "release_date": "2020-03-24",
- "subsets": {
-  "main": {
-   "language": [
-    "en"
-   ],
-   "modalities": [
-    "single_image_start"
-   ],
-   "task_type": "captioning",
-   "score_type": "caption_metrics",
-   "score_params": {
-    "metrics": [
-     "cider",
-     "bleu4",
-     "meteor",
-     "rouge_l"
-    ]
-   },
-   "score_protocol": {
-    "reference": "lmms-eval@lmms_eval/tasks/textcaps/textcaps_val.yaml:19-27 + utils.py (same pycocoevalcap scorer set: Bleu1-4, METEOR, ROUGE_L, CIDEr; SPICE commented out) — TextCaps paper headline is CIDEr over 5 references.",
-    "note": "Corpus-level metrics; no per-sample correctness. SPICE disabled in frameworks, excluded here. mm-eval copy stores 5 reference captions per image (rows verified). mm-eval prompt uses VLMEvalKit one-sentence caption prompt while the source question column carries lmms-eval's 'come up with a caption' phrasing."
-   },
-   "prompt_template": "<image>Provide a one-sentence caption for the provided image.",
-   "mapping_from_source": {
-    "media": {
-     "from": "image",
-     "type": "list",
-     "min_items": 1,
-     "max_items": 1
-    },
-    "id": {
-     "from": "question_id"
-    },
-    "question": {
-     "from": "question"
-    },
-    "answer": {
-     "from": "reference_strs",
-     "optional": true
-    },
-    "extra": {
-     "image_id": {
-      "from": "image_id"
-     },
-     "image_classes": {
-      "from": "image_classes"
-     }
-    },
-    "source": {
-     "format": "huggingface",
-     "url": {
-      "val": "https://huggingface.co/datasets/lmms-lab/TextCaps"
-     }
+  "name": "TextCaps",
+  "release_date": "2020-03-24",
+  "subsets": {
+    "main": {
+      "language": [
+        "en"
+      ],
+      "modalities": [
+        "single_image_start"
+      ],
+      "task_type": "captioning",
+      "score_pipeline": {
+        "unsupported": "caption-metrics",
+        "reason": "requires corpus-level caption metrics (CIDEr/BLEU/ROUGE/BERTScore); use the benchmark's own evaluator"
+      },
+      "score_params": {
+        "metrics": [
+          "cider",
+          "bleu4",
+          "meteor",
+          "rouge_l"
+        ]
+      },
+      "score_protocol": {
+        "reference": "lmms-eval@lmms_eval/tasks/textcaps/textcaps_val.yaml:19-27 + utils.py (same pycocoevalcap scorer set: Bleu1-4, METEOR, ROUGE_L, CIDEr; SPICE commented out) — TextCaps paper headline is CIDEr over 5 references.",
+        "note": "Corpus-level metrics; no per-sample correctness. SPICE disabled in frameworks, excluded here. mm-eval copy stores 5 reference captions per image (rows verified). mm-eval prompt uses VLMEvalKit one-sentence caption prompt while the source question column carries lmms-eval's 'come up with a caption' phrasing."
+      },
+      "prompt_template": "<image>Provide a one-sentence caption for the provided image.",
+      "mapping_from_source": {
+        "media": {
+          "from": "image",
+          "type": "list",
+          "min_items": 1,
+          "max_items": 1
+        },
+        "id": {
+          "from": "question_id"
+        },
+        "question": {
+          "from": "question"
+        },
+        "answer": {
+          "from": "reference_strs",
+          "optional": true
+        },
+        "extra": {
+          "image_id": {
+            "from": "image_id"
+          },
+          "image_classes": {
+            "from": "image_classes"
+          }
+        },
+        "source": {
+          "format": "huggingface",
+          "url": {
+            "val": "https://huggingface.co/datasets/lmms-lab/TextCaps"
+          }
+        }
+      },
+      "prompt_template_source": {
+        "origin": "official",
+        "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_caption.py (ImageCaptionDataset canonical caption prompt)",
+        "notes": "Tier 3: VLMEvalKit ImageCaptionDataset canonical TextCaps captioning prompt."
+      }
     }
-   },
-   "prompt_template_source": {
-    "origin": "official",
-    "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_caption.py (ImageCaptionDataset canonical caption prompt)",
-    "notes": "Tier 3: VLMEvalKit ImageCaptionDataset canonical TextCaps captioning prompt."
-   }
   }
- }
-}
+}