Add manifest (metadata.json)

metadata.json

@@ -1,66 +1,66 @@
 {
-  "name": "TextCaps",
-  "release_date": "2020-03-24",
-  "subsets": {
-    "main": {
-      "language": [
-        "en"
-      ],
-      "modalities": [
-        "single_image_start"
-      ],
-      "task_type": "free_form",
-      "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"
-          }
-        }
-      },
-      "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."
-      }
+ "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"
+     }
     }
+   },
+   "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."
+   }
   }
-}
+ }
+}