Update metadata.json

metadata.json

@@ -1,110 +1,110 @@
 {
-  "name": "SpatialEval",
-  "release_date": "2024-09-09",
-  "subsets": {
-    "vqa": {
-      "language": [
-        "en"
-      ],
-      "modalities": [
-        "single_image_start"
-      ],
-      "task_type": "multiple_choice",
-      "score_type": "rule",
-      "score_protocol": {
-        "reference": "official@github.com/jiayuww/SpatialEval evals/evaluation.py — task-specific regex extraction (extract_answer_from_text_spatialmap L26 /_mazenav L140 /_spatialgrid L205) then lowercase substring match of the oracle answer ('ref_ans.lower() in model_answer.lower()', L286-288); no LLM anywhere.",
-        "note": "Official grading matches the oracle ANSWER CONTENT by substring after regex extraction; the mm-eval copy stores the option letter (oracle_option, e.g. 'C') as ground truth with options embedded in the question text ('Available options:\\nA. 4...'), keeping oracle_answer/oracle_full_answer in extra. Scoring the published copy is therefore letter-selection matching, not content-substring matching. Official also defines a text-only tqa mode not shipped by the org (vqa/vtqa only)."
-      },
-      "prompt_template": "<image>{{ question }}",
-      "prompt_template_source": {
-        "origin": "source_column",
-        "reference": "https://huggingface.co/datasets/MilaWang/SpatialEval",
-        "notes": "Tier 2: SpatialEval text column pre-renders the question with embedded option list; oracle_option holds the gold letter. Template prepends <image> and uses text verbatim."
-      },
-      "mapping_from_source": {
-        "media": {
-          "from": "image",
-          "type": "list",
-          "min_items": 1,
-          "max_items": 1
-        },
-        "id": {
-          "from": "id"
-        },
-        "question": {
-          "from": "text"
-        },
-        "answer": {
-          "from": "oracle_option",
-          "optional": true
-        },
-        "extra": {
-          "oracle_full_answer": {
-            "from": "oracle_full_answer"
-          },
-          "oracle_answer": {
-            "from": "oracle_answer"
-          }
-        },
-        "source": {
-          "format": "huggingface",
-          "url": {
-            "test": "https://huggingface.co/datasets/MilaWang/SpatialEval"
-          }
-        }
-      }
+ "name": "SpatialEval",
+ "release_date": "2024-09-09",
+ "subsets": {
+  "vqa": {
+   "language": [
+    "en"
+   ],
+   "modalities": [
+    "single_image_start"
+   ],
+   "task_type": "multiple_choice_qa",
+   "score_type": "rule",
+   "score_protocol": {
+    "reference": "official@github.com/jiayuww/SpatialEval evals/evaluation.py — task-specific regex extraction (extract_answer_from_text_spatialmap L26 /_mazenav L140 /_spatialgrid L205) then lowercase substring match of the oracle answer ('ref_ans.lower() in model_answer.lower()', L286-288); no LLM anywhere.",
+    "note": "Official grading matches the oracle ANSWER CONTENT by substring after regex extraction; the mm-eval copy stores the option letter (oracle_option, e.g. 'C') as ground truth with options embedded in the question text ('Available options:\\nA. 4...'), keeping oracle_answer/oracle_full_answer in extra. Scoring the published copy is therefore letter-selection matching, not content-substring matching. Official also defines a text-only tqa mode not shipped by the org (vqa/vtqa only)."
+   },
+   "prompt_template": "<image>{{ question }}",
+   "prompt_template_source": {
+    "origin": "source_column",
+    "reference": "https://huggingface.co/datasets/MilaWang/SpatialEval",
+    "notes": "Tier 2: SpatialEval text column pre-renders the question with embedded option list; oracle_option holds the gold letter. Template prepends <image> and uses text verbatim."
+   },
+   "mapping_from_source": {
+    "media": {
+     "from": "image",
+     "type": "list",
+     "min_items": 1,
+     "max_items": 1
     },
-    "vtqa": {
-      "language": [
-        "en"
-      ],
-      "modalities": [
-        "single_image_start"
-      ],
-      "task_type": "multiple_choice",
-      "score_type": "rule",
-      "score_protocol": {
-        "reference": "official@github.com/jiayuww/SpatialEval evals/evaluation.py — same rule-based regex extraction + lowercase substring match of the oracle answer (run with --mode 'vtqa'); no LLM.",
-        "note": "Same as SpatialEval/vqa: published GT is the option letter while the official script substring-matches oracle answer content; tqa mode not shipped."
-      },
-      "prompt_template": "<image>{{ question }}",
-      "prompt_template_source": {
-        "origin": "source_column",
-        "reference": "https://huggingface.co/datasets/MilaWang/SpatialEval",
-        "notes": "Tier 2: SpatialEval text column pre-renders the question with embedded option list; oracle_option holds the gold letter. Template prepends <image> and uses text verbatim."
-      },
-      "mapping_from_source": {
-        "media": {
-          "from": "image",
-          "type": "list",
-          "min_items": 1,
-          "max_items": 1
-        },
-        "id": {
-          "from": "id"
-        },
-        "question": {
-          "from": "text"
-        },
-        "answer": {
-          "from": "oracle_option",
-          "optional": true
-        },
-        "extra": {
-          "oracle_full_answer": {
-            "from": "oracle_full_answer"
-          },
-          "oracle_answer": {
-            "from": "oracle_answer"
-          }
-        },
-        "source": {
-          "format": "huggingface",
-          "url": {
-            "test": "https://huggingface.co/datasets/MilaWang/SpatialEval"
-          }
-        }
-      }
+    "id": {
+     "from": "id"
+    },
+    "question": {
+     "from": "text"
+    },
+    "answer": {
+     "from": "oracle_option",
+     "optional": true
+    },
+    "extra": {
+     "oracle_full_answer": {
+      "from": "oracle_full_answer"
+     },
+     "oracle_answer": {
+      "from": "oracle_answer"
+     }
+    },
+    "source": {
+     "format": "huggingface",
+     "url": {
+      "test": "https://huggingface.co/datasets/MilaWang/SpatialEval"
+     }
+    }
+   }
+  },
+  "vtqa": {
+   "language": [
+    "en"
+   ],
+   "modalities": [
+    "single_image_start"
+   ],
+   "task_type": "multiple_choice_qa",
+   "score_type": "rule",
+   "score_protocol": {
+    "reference": "official@github.com/jiayuww/SpatialEval evals/evaluation.py — same rule-based regex extraction + lowercase substring match of the oracle answer (run with --mode 'vtqa'); no LLM.",
+    "note": "Same as SpatialEval/vqa: published GT is the option letter while the official script substring-matches oracle answer content; tqa mode not shipped."
+   },
+   "prompt_template": "<image>{{ question }}",
+   "prompt_template_source": {
+    "origin": "source_column",
+    "reference": "https://huggingface.co/datasets/MilaWang/SpatialEval",
+    "notes": "Tier 2: SpatialEval text column pre-renders the question with embedded option list; oracle_option holds the gold letter. Template prepends <image> and uses text verbatim."
+   },
+   "mapping_from_source": {
+    "media": {
+     "from": "image",
+     "type": "list",
+     "min_items": 1,
+     "max_items": 1
+    },
+    "id": {
+     "from": "id"
+    },
+    "question": {
+     "from": "text"
+    },
+    "answer": {
+     "from": "oracle_option",
+     "optional": true
+    },
+    "extra": {
+     "oracle_full_answer": {
+      "from": "oracle_full_answer"
+     },
+     "oracle_answer": {
+      "from": "oracle_answer"
+     }
+    },
+    "source": {
+     "format": "huggingface",
+     "url": {
+      "test": "https://huggingface.co/datasets/MilaWang/SpatialEval"
+     }
     }
+   }
   }
-}
+ }
+}