diff --git a/docs/en/integrations/kaggle.md b/docs/en/integrations/kaggle.md
index d5969724b6..a89adc52db 100644
--- a/docs/en/integrations/kaggle.md
+++ b/docs/en/integrations/kaggle.md
@@ -20,7 +20,7 @@ With more than [10 million users](https://www.kaggle.com/discussions/general/332
 
 Training YOLO11 models on Kaggle is simple and efficient, thanks to the platform's access to powerful GPUs.
 
-To get started, access the [Kaggle YOLO11 Notebook](https://www.kaggle.com/code/glennjocherultralytics/yolo11). Kaggle's environment comes with pre-installed libraries like [TensorFlow](https://www.ultralytics.com/glossary/tensorflow) and [PyTorch](https://www.ultralytics.com/glossary/pytorch), making the setup process hassle-free.
+To get started, access the [Kaggle YOLO11 Notebook](https://www.kaggle.com/code/glennjocherultralytics/ultralytics-yolo11-notebook). Kaggle's environment comes with pre-installed libraries like [TensorFlow](https://www.ultralytics.com/glossary/tensorflow) and [PyTorch](https://www.ultralytics.com/glossary/pytorch), making the setup process hassle-free.
 
 ![What is the kaggle integration with respect to YOLO11?](https://github.com/ultralytics/docs/releases/download/0/kaggle-integration-yolov8.avif)
 
@@ -28,7 +28,7 @@ Once you sign in to your Kaggle account, you can click on the option to copy and
 
 ![Using kaggle for machine learning model training with a GPU](https://github.com/ultralytics/docs/releases/download/0/using-kaggle-for-machine-learning-model-training-with-a-gpu.avif)
 
-On the [official YOLO11 Kaggle notebook page](https://www.kaggle.com/code/glennjocherultralytics/yolo11), if you click on the three dots in the upper right-hand corner, you'll notice more options will pop up.
+On the [official YOLO11 Kaggle notebook page](https://www.kaggle.com/code/glennjocherultralytics/ultralytics-yolo11-notebook), if you click on the three dots in the upper right-hand corner, you'll notice more options will pop up.
 
 ![Overview of Options From the Official YOLO11 Kaggle Notebook Page](https://github.com/ultralytics/docs/releases/download/0/overview-options-yolov8-kaggle-notebook.avif)
 
@@ -96,7 +96,7 @@ Interested in more YOLO11 integrations? Check out the [Ultralytics integration g
 
 ### How do I train a YOLO11 model on Kaggle?
 
-Training a YOLO11 model on Kaggle is straightforward. First, access the [Kaggle YOLO11 Notebook](https://www.kaggle.com/code/glennjocherultralytics/yolo11). Sign in to your Kaggle account, copy and edit the notebook, and select a GPU under the accelerator settings. Run the notebook cells to start training. For more detailed steps, refer to our [YOLO11 Model Training guide](../modes/train.md).
+Training a YOLO11 model on Kaggle is straightforward. First, access the [Kaggle YOLO11 Notebook](https://www.kaggle.com/code/glennjocherultralytics/ultralytics-yolo11-notebook). Sign in to your Kaggle account, copy and edit the notebook, and select a GPU under the accelerator settings. Run the notebook cells to start training. For more detailed steps, refer to our [YOLO11 Model Training guide](../modes/train.md).
 
 ### What are the benefits of using Kaggle for YOLO11 model training?
 
diff --git a/docs/overrides/javascript/tablesort.js b/docs/overrides/javascript/tablesort.js
index 55e68d9185..8259bdfd93 100644
--- a/docs/overrides/javascript/tablesort.js
+++ b/docs/overrides/javascript/tablesort.js
@@ -2,50 +2,27 @@
 
 // tablesort.filesize.min.js
 !(function () {
+  const filesizeRegex = /^(\d+(\.\d+)?) ?((K|M|G|T|P|E|Z|Y|B$)i?B?)$/i;
+
   function r(t) {
-    return (
-      (t = t.match(/^(\d+(\.\d+)?) ?((K|M|G|T|P|E|Z|Y|B$)i?B?)$/i)),
-      parseFloat(t[1].replace(/[^\-?0-9.]/g, "")) *
-        (function (t) {
-          var e = "i" === (t = t.toLowerCase())[1] ? 1024 : 1e3;
-          switch (t[0]) {
-            case "k":
-              return Math.pow(e, 2);
-            case "m":
-              return Math.pow(e, 3);
-            case "g":
-              return Math.pow(e, 4);
-            case "t":
-              return Math.pow(e, 5);
-            case "p":
-              return Math.pow(e, 6);
-            case "e":
-              return Math.pow(e, 7);
-            case "z":
-              return Math.pow(e, 8);
-            case "y":
-              return Math.pow(e, 9);
-            default:
-              return e;
-          }
-        })(t[3])
-    );
+    t = t.match(filesizeRegex);
+    if (!t) return 0;
+
+    const value = parseFloat(t[1].replace(/[^\-?0-9.]/g, ""));
+    const unit = t[3].toLowerCase();
+    const base = unit[1] === "i" ? 1024 : 1e3;
+    const powers = { k: 2, m: 3, g: 4, t: 5, p: 6, e: 7, z: 8, y: 9 };
+
+    return value * (powers[unit[0]] ? Math.pow(base, powers[unit[0]]) : base);
   }
+
   Tablesort.extend(
     "filesize",
-    function (t) {
-      return /^\d+(\.\d+)? ?(K|M|G|T|P|E|Z|Y|B$)i?B?$/i.test(t);
-    },
-    function (t, e) {
-      return (
-        (t = r(t)),
-        (e = r(e)),
-        (e = e),
-        (t = t),
-        (e = parseFloat(e)),
-        (t = parseFloat(t)),
-        (e = isNaN(e) ? 0 : e) - (t = isNaN(t) ? 0 : t)
-      );
+    (t) => filesizeRegex.test(t),
+    (t, e) => {
+      t = r(t);
+      e = r(e);
+      return (isNaN(e) ? 0 : e) - (isNaN(t) ? 0 : t);
     },
   );
 })();
@@ -53,59 +30,45 @@
 // tablesort.dotsep.min.js
 Tablesort.extend(
   "dotsep",
-  function (t) {
-    return /^(\d+\.)+\d+$/.test(t);
-  },
-  function (t, r) {
-    (t = t.split(".")), (r = r.split("."));
-    for (var e, n, i = 0, s = t.length; i < s; i++)
-      if ((e = parseInt(t[i], 10)) !== (n = parseInt(r[i], 10))) {
-        if (n < e) return -1;
-        if (e < n) return 1;
+  (t) => /^(\d+\.)+\d+$/.test(t),
+  (t, r) => {
+    t = t.split(".");
+    r = r.split(".");
+
+    for (let i = 0, s = t.length; i < s; i++) {
+      const e = parseInt(t[i], 10);
+      const n = parseInt(r[i], 10);
+
+      if (e !== n) {
+        return n < e ? -1 : 1;
       }
+    }
     return 0;
   },
 );
 
 // tablesort.number.min.js
 (function () {
-  var cleanNumber = function (i) {
-      // Remove everything after ± symbol if present
-      i = i.split("±")[0].trim();
-      return i.replace(/[^\-?0-9.]/g, "");
-    },
-    compareNumber = function (a, b) {
-      a = parseFloat(a);
-      b = parseFloat(b);
-
-      a = isNaN(a) ? 0 : a;
-      b = isNaN(b) ? 0 : b;
-
-      return a - b;
-    };
+  const cleanNumber = (i) =>
+    i
+      .split("±")[0]
+      .trim()
+      .replace(/[^\-?0-9.]/g, "");
+  const compareNumber = (a, b) => (parseFloat(a) || 0) - (parseFloat(b) || 0);
 
   Tablesort.extend(
     "number",
-    function (item) {
-      return (
-        item.match(/^[-+]?[£\x24Û¢´€]?\d+\s*([,\.]\d{0,2})/) || // Prefixed currency
-        item.match(/^[-+]?\d+\s*([,\.]\d{0,2})?[£\x24Û¢´€]/) || // Suffixed currency
-        item.match(/^[-+]?(\d)*-?([,\.]){0,1}-?(\d)+([E,e][\-+][\d]+)?%?$/)
-      ); // Number
-    },
-    function (a, b) {
-      a = cleanNumber(a);
-      b = cleanNumber(b);
-
-      return compareNumber(b, a);
-    },
+    (item) =>
+      item.match(/^[-+]?[£\x24Û¢´€]?\d+\s*([,\.]\d{0,2})/) || // Prefixed currency
+      item.match(/^[-+]?\d+\s*([,\.]\d{0,2})?[£\x24Û¢´€]/) || // Suffixed currency
+      item.match(/^[-+]?(\d)*-?([,\.]){0,1}-?(\d)+([E,e][\-+][\d]+)?%?$/), // Number
+    (a, b) => compareNumber(cleanNumber(b), cleanNumber(a)),
   );
 })();
 
 // subscribe
-document$.subscribe(function () {
-  var tables = document.querySelectorAll("article table:not([class])");
-  tables.forEach(function (table) {
+document$.subscribe(() => {
+  document.querySelectorAll("article table:not([class])").forEach((table) => {
     new Tablesort(table);
   });
 });
diff --git a/ultralytics/utils/benchmarks.py b/ultralytics/utils/benchmarks.py
index 012cc1f197..dd9d329bf4 100644
--- a/ultralytics/utils/benchmarks.py
+++ b/ultralytics/utils/benchmarks.py
@@ -126,7 +126,7 @@ def benchmark(
                 assert not isinstance(model, YOLOWorld), "YOLOWorldv2 TensorFlow exports not supported by onnx2tf yet"
             if i == 11:  # Paddle
                 assert not isinstance(model, YOLOWorld), "YOLOWorldv2 Paddle exports not supported yet"
-                assert not model.task == "obb", "Paddle OBB bug https://github.com/PaddlePaddle/Paddle/issues/72024"
+                assert model.task != "obb", "Paddle OBB bug https://github.com/PaddlePaddle/Paddle/issues/72024"
                 assert not is_end2end, "End-to-end models not supported by PaddlePaddle yet"
                 assert LINUX or MACOS, "Windows Paddle exports not supported yet"
             if i == 12:  # MNN