Add Cosmos-Reason results

app.py

@@ -245,6 +245,22 @@ COSMOS = {
     "submitted_by": "user",
 }
 
+COSMOS_REASON = {
+    "url": "https://huggingface.co/nvidia/Cosmos-Reason1-7B",
+    "model": "Cosmos-Reason1-7B",
+    "model_type": "Open",
+    "system_prompt": "test",
+    "vision_backbone": " ViT ",
+    "llm_backbone": " Qwen2.5-7B-Instruct ",
+    "num_frames": -1,
+    f"score_{INTP_KEY}": 59.88,
+    f"score_{MVP_KEY}": MISSING_VALUE,
+    f"score_{MVP_MINI_KEY}": MISSING_VALUE,
+    f"score_{WMQA_KEY}": MISSING_VALUE,
+    "date": "2025-08-11",
+    "organization": "Nvidia",
+    "submitted_by": "user",
+}
 
 def get_dataframe_from_results(eval_results, split):
     local_df = eval_results[split]
@@ -288,6 +304,7 @@ def get_dataframe_from_results(eval_results, split):
     ldb_m2r["qwen2.5"] = QWENVL
     ldb_m2r["vjepa2"] = VJEPA2
     ldb_m2r["cosmos"] = COSMOS
+    ldb_m2r["cosmosreason"] = COSMOS_REASON
     # compute average and convert back to rows
     ldb_rows = []
     for key, val in ldb_m2r.items():