Update metadata.json

metadata.json

@@ -1,116 +1,116 @@
 {
-  "name": "SAT",
-  "release_date": "2025-12-04",
-  "subsets": {
-    "real": {
-      "language": [
-        "en"
-      ],
-      "modalities": [
-        "multi_image_start"
-      ],
-      "task_type": "multiple_choice",
-      "score_type": "rule",
-      "score_protocol": {
-        "reference": "lmms-eval@lmms_eval/tasks/sat/sat.yaml:17-31 + utils.py (MultiChoiceRegexFilter) — deterministic filter maps the response to a choice letter by regex / choice-text matching, then exact_match; no LLM at any step. Official repo (github.com/arijitray1993/SAT) has not published a dedicated scoring script (README: 'work in progress').",
-        "note": "lmms-eval letters the options (A., B.) and grades letters; the mm-eval copy renders un-lettered choice texts ('Choose between the following options: X, or Y.') and stores the full choice text as answer, so grading is deterministic matching of the chosen option text rather than a letter compare. Rows carry extra field 'question_type' with SAT category names (obj_movement, action_sequence, ...) that are NOT scorer vocabulary — the scorer must ignore them (unrecognized values fall through to gt-shape per spec)."
-      },
-      "prompt_template": "{% for i in range(n_images) %}<image>{% endfor %}{{ question }} Choose between the following options: {% for c in choices %}{{ c }}{% if not loop.last %}, or {% endif %}{% endfor %}.",
-      "prompt_template_source": {
-        "origin": "official",
-        "reference": "https://arxiv.org/pdf/2412.07755 (SAT paper, Appendix A.3, Question-answer format, p.21)",
-        "notes": "Tier 1: SAT paper Appendix specifies the binary-choice text format with <image> tokens at start; LLaVA conversation scaffolding is dropped (handled by inference backend)."
-      },
-      "mapping_from_source": {
-        "media": {
-          "from": "media",
-          "type": "list",
-          "min_items": 1,
-          "max_items": 2
-        },
-        "id": {
-          "from": "id"
-        },
-        "question": {
-          "from": "question"
-        },
-        "answer": {
-          "from": "answer",
-          "optional": true
-        },
-        "choices": {
-          "from": "choices"
-        },
-        "extra": {
-          "question_type": {
-            "from": "question_type"
-          },
-          "n_images": {
-            "from": "n_images"
-          }
-        },
-        "source": {
-          "format": "huggingface",
-          "url": {
-            "real_test": "https://huggingface.co/datasets/array/SAT"
-          }
-        }
-      }
+ "name": "SAT",
+ "release_date": "2025-12-04",
+ "subsets": {
+  "real": {
+   "language": [
+    "en"
+   ],
+   "modalities": [
+    "multi_image_start"
+   ],
+   "task_type": "multiple_choice_qa",
+   "score_type": "rule",
+   "score_protocol": {
+    "reference": "lmms-eval@lmms_eval/tasks/sat/sat.yaml:17-31 + utils.py (MultiChoiceRegexFilter) — deterministic filter maps the response to a choice letter by regex / choice-text matching, then exact_match; no LLM at any step. Official repo (github.com/arijitray1993/SAT) has not published a dedicated scoring script (README: 'work in progress').",
+    "note": "lmms-eval letters the options (A., B.) and grades letters; the mm-eval copy renders un-lettered choice texts ('Choose between the following options: X, or Y.') and stores the full choice text as answer, so grading is deterministic matching of the chosen option text rather than a letter compare. Rows carry extra field 'question_type' with SAT category names (obj_movement, action_sequence, ...) that are NOT scorer vocabulary — the scorer must ignore them (unrecognized values fall through to gt-shape per spec)."
+   },
+   "prompt_template": "{% for i in range(n_images) %}<image>{% endfor %}{{ question }} Choose between the following options: {% for c in choices %}{{ c }}{% if not loop.last %}, or {% endif %}{% endfor %}.",
+   "prompt_template_source": {
+    "origin": "official",
+    "reference": "https://arxiv.org/pdf/2412.07755 (SAT paper, Appendix A.3, Question-answer format, p.21)",
+    "notes": "Tier 1: SAT paper Appendix specifies the binary-choice text format with <image> tokens at start; LLaVA conversation scaffolding is dropped (handled by inference backend)."
+   },
+   "mapping_from_source": {
+    "media": {
+     "from": "media",
+     "type": "list",
+     "min_items": 1,
+     "max_items": 2
     },
-    "synthetic": {
-      "language": [
-        "en"
-      ],
-      "modalities": [
-        "multi_image_start"
-      ],
-      "task_type": "multiple_choice",
-      "score_type": "rule",
-      "score_protocol": {
-        "reference": "lmms-eval@lmms_eval/tasks/sat/sat.yaml:17-31 + utils.py (MultiChoiceRegexFilter) — same deterministic choice-matching protocol as the real subset; no LLM.",
-        "note": "Same as SAT/real: full-text answers instead of letters; extra 'question_type' field carries SAT category names, not scorer vocabulary. lmms-eval's sat task evaluates the (nv-njb/SAT) test set; the org ships real (150 rows) and synthetic (4001 rows) as separate configs from array/SAT."
-      },
-      "prompt_template": "{% for i in range(n_images) %}<image>{% endfor %}{{ question }} Choose between the following options: {% for c in choices %}{{ c }}{% if not loop.last %}, or {% endif %}{% endfor %}.",
-      "prompt_template_source": {
-        "origin": "official",
-        "reference": "https://arxiv.org/pdf/2412.07755 (SAT paper, Appendix A.3, Question-answer format, p.21)",
-        "notes": "Tier 1: SAT paper Appendix specifies the binary-choice text format with <image> tokens at start; LLaVA conversation scaffolding is dropped (handled by inference backend)."
-      },
-      "mapping_from_source": {
-        "media": {
-          "from": "media",
-          "type": "list",
-          "min_items": 1,
-          "max_items": 2
-        },
-        "id": {
-          "from": "id"
-        },
-        "question": {
-          "from": "question"
-        },
-        "answer": {
-          "from": "answer",
-          "optional": true
-        },
-        "choices": {
-          "from": "choices"
-        },
-        "extra": {
-          "question_type": {
-            "from": "question_type"
-          },
-          "n_images": {
-            "from": "n_images"
-          }
-        },
-        "source": {
-          "format": "huggingface",
-          "url": {
-            "synthetic_test": "https://huggingface.co/datasets/array/SAT"
-          }
-        }
-      }
+    "id": {
+     "from": "id"
+    },
+    "question": {
+     "from": "question"
+    },
+    "answer": {
+     "from": "answer",
+     "optional": true
+    },
+    "choices": {
+     "from": "choices"
+    },
+    "extra": {
+     "question_type": {
+      "from": "question_type"
+     },
+     "n_images": {
+      "from": "n_images"
+     }
+    },
+    "source": {
+     "format": "huggingface",
+     "url": {
+      "real_test": "https://huggingface.co/datasets/array/SAT"
+     }
+    }
+   }
+  },
+  "synthetic": {
+   "language": [
+    "en"
+   ],
+   "modalities": [
+    "multi_image_start"
+   ],
+   "task_type": "multiple_choice_qa",
+   "score_type": "rule",
+   "score_protocol": {
+    "reference": "lmms-eval@lmms_eval/tasks/sat/sat.yaml:17-31 + utils.py (MultiChoiceRegexFilter) — same deterministic choice-matching protocol as the real subset; no LLM.",
+    "note": "Same as SAT/real: full-text answers instead of letters; extra 'question_type' field carries SAT category names, not scorer vocabulary. lmms-eval's sat task evaluates the (nv-njb/SAT) test set; the org ships real (150 rows) and synthetic (4001 rows) as separate configs from array/SAT."
+   },
+   "prompt_template": "{% for i in range(n_images) %}<image>{% endfor %}{{ question }} Choose between the following options: {% for c in choices %}{{ c }}{% if not loop.last %}, or {% endif %}{% endfor %}.",
+   "prompt_template_source": {
+    "origin": "official",
+    "reference": "https://arxiv.org/pdf/2412.07755 (SAT paper, Appendix A.3, Question-answer format, p.21)",
+    "notes": "Tier 1: SAT paper Appendix specifies the binary-choice text format with <image> tokens at start; LLaVA conversation scaffolding is dropped (handled by inference backend)."
+   },
+   "mapping_from_source": {
+    "media": {
+     "from": "media",
+     "type": "list",
+     "min_items": 1,
+     "max_items": 2
+    },
+    "id": {
+     "from": "id"
+    },
+    "question": {
+     "from": "question"
+    },
+    "answer": {
+     "from": "answer",
+     "optional": true
+    },
+    "choices": {
+     "from": "choices"
+    },
+    "extra": {
+     "question_type": {
+      "from": "question_type"
+     },
+     "n_images": {
+      "from": "n_images"
+     }
+    },
+    "source": {
+     "format": "huggingface",
+     "url": {
+      "synthetic_test": "https://huggingface.co/datasets/array/SAT"
+     }
     }
+   }
   }
-}
+ }
+}