metadata: 2026-07-07 revised taxonomy (task_type format vocabulary multiple_choice/yes_no/short_answer/free_form; score_type incl. none; re-verified protocol evidence; repaired prompt provenance)

metadata.json

@@ -9,11 +9,11 @@
       "modalities": [
         "single_image_start"
       ],
-      "task_type": "vqa",
-      "score_type": "rule",
+      "task_type": "short_answer",
+      "score_type": "none",
       "score_protocol": {
-        "reference": "lmms-eval@lmms_eval/tasks/geometry3k/geometry3k.yaml:23-28 (metric exact_match) + utils.py:62-125 (rule letter extraction, no LLM) — nearest framework protocol; original Inter-GPS (ACL 2021) evaluates by selecting among the 4 choices with rule matching. The published copy is the hiyouga/geometry3k RL variant whose ecosystem grading (EasyR1/verl mathruler) is rule-based boxed extraction + math equality.",
-        "note": "The mm-eval copy is NOT the official Inter-GPS MCQ release and NOT the lmms-eval 4-choices variant: answers are free-form numerics/LaTeX ('3', '120', '2 \\sqrt { 221 }') with no choices in the question, and the metadata prompt_template_source note ('choices and trailer baked into source question column') is inaccurate for this copy. Rule compare needs math-expression equivalence for LaTeX answers; exact/template matching under-scores them. Also ships train(2101)/validation/test splits — an RL training set, not an eval-only benchmark."
+        "reference": "Verified absence, checked 2026-07-07: the published copy is row-identical to hiyouga/geometry3k (matching problem/answer text and split sizes 2101/300/601), an RL-TRAINING reformat 'converted from https://github.com/lupantech/InterGPS' whose dataset card publishes NO eval protocol or metric; it is the tutorial training set of EasyR1 (hiyouga/EasyR1 README: 'Run Qwen2.5-VL GRPO on Geometry3K Dataset'), where rule-based mathruler boxed-extraction reward is a training signal, not an eval protocol. The official Inter-GPS (ACL 2021) protocol and lmms-eval geometry3k (geometry3k.yaml: dataset_path Yang130/geometry3k_4choices_mixed; utils.py:66-125 A-D letter extraction) both grade 4-choice MCQ variants and are inapplicable to this free-form copy.",
+        "note": "No official grading protocol exists for this variant; the scorer's default exact,template chain applies and results must be stamped non-official (config.official_protocol=false). Even then, LaTeX ground truths ('2 \\sqrt { 221 }') need math-expression equivalence to grade correctly — exact/template matching under-scores them. This is an RL training dataset (train/validation/test), not an eval-only benchmark; numbers are not comparable to official Inter-GPS Geometry3K results."
       },
       "prompt_template": "{{ question }}",
       "mapping_from_source": {