quick fix

app.py

@@ -351,10 +351,12 @@ def get_mteb_data(tasks=["Clustering"], langs=[], fillna=True, add_emb_dim=False
         #    ],
         # },
         # Use "get" instead of dict indexing to skip incompat metadata instead of erroring out
+        if not "model-index" in meta or not meta["model-index"] or not "results" in meta["model-index"][0]:
+            continue
         if langs:
-            task_results = [sub_res for sub_res in meta["model-index"][0]["results"] if (sub_res.get("task", {}).get("type", "") in tasks) and (sub_res.get("dataset", {}).get("config", "default") in ("default", *langs))]
+            task_results = [sub_res for sub_res in meta["model-index"][0]["results"] if "model-index" in meta and (sub_res.get("task", {}).get("type", "") in tasks) and (sub_res.get("dataset", {}).get("config", "default") in ("default", *langs))]
         else:
-            task_results = [sub_res for sub_res in meta["model-index"][0]["results"] if (sub_res.get("task", {}).get("type", "") in tasks)]
+            task_results = [sub_res for sub_res in meta["model-index"][0]["results"] if "model-index" in meta and (sub_res.get("task", {}).get("type", "") in tasks)]
         out = [{res["dataset"]["name"].replace("MTEB ", ""): [round(score["value"], 2) for score in res["metrics"] if score["type"] == task_to_metric.get(res["task"]["type"])][0]} for res in task_results]
         out = {k: v for d in out for k, v in d.items()}
         out["Model"] = make_clickable_model(model.modelId)