Replace navigation data with refined 5037-sample release

Upload the refined shuffled 5,037-sample canonical PKL as dataset/navi_data.pkl, regenerate the human-readable JSON preview, and regenerate the Dataset Viewer Parquet table.

data/viewer-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7c62ee76d41c6477c0e69faa15ca34a7ecc4b6385ea82fdc98d30d0d9909e5f3
-size 131261
+oid sha256:c05abbbc5966b23c3d71e45e7c32820af6d41cdd2a8dfb6412931a4ad6e2ec09
+size 1865037

dataset/navi_data.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fe3c45c943fba18d8bf1ff2a29674d013fff70fe019337df7bad70d3f3f39a4a
-size 307603
+oid sha256:2ea4223d5d20f23cd4e43fadb19c6d126cdd455670e7eb8be7226de305d1c201
+size 4162202

dataset/navi_data_preview.json

@@ -1,6 +1,6 @@
 {
   "source": "dataset/navi_data.pkl",
-  "num_samples": 300,
+  "num_samples": 5037,
   "note": "This JSON is a human-readable preview. Ground-truth data is stored in the PKL file.",
   "fields": {
     "folder": "str, scene folder identifier",
@@ -12,154 +12,259 @@
     "gt_traj": "float[N,3], ground-truth trajectory points",
     "gt_traj_len": "float, ground-truth trajectory length"
   },
+  "statistics": {
+    "gt_traj_len_min": 20.0,
+    "gt_traj_len_max": 1450.006205125028,
+    "gt_traj_len_mean": 158.47320929108906
+  },
   "preview_samples": [
     {
       "sample_index": 0,
       "folder": "0",
-      "task_desc": "the entrance of the red building on the left front",
+      "task_desc": "the roof on the white house in front of you",
       "start_pos": [
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+        1.96349536
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       "start_ang": 0.0,
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-      "gt_traj_num_points": 28,
+      "gt_traj_len": 59.999912430650184,
+      "gt_traj_num_points": 7,
       "gt_traj_preview_first5": [
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     },
     {
       "sample_index": 1,
       "folder": "1",
-      "task_desc": "A coffee shop after turning right at the intersection ahead",
+      "task_desc": "the nearby terrace on the 29th floor of a yellow-exterior building, with the number 29 on the exterior wall",
       "start_pos": [
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     {
       "sample_index": 2,
       "folder": "2",
-      "task_desc": "The bus stop behind",
+      "task_desc": "the area in front of and beside the black vehicle",
+      "start_pos": [
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+    {
+      "sample_index": 3,
+      "folder": "3",
+      "task_desc": "上方米色外墙的建筑的22楼��露台（外墙有标数字）",
+      "start_pos": [
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+      "folder": "4",
+      "task_desc": "The pink tree in front of the gate of the building ahead",
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     }