Rename navigation demo to test subset

README.md

@@ -27,7 +27,7 @@ Language-Conditioned Local Navigation**.
 | --- | ---: | ---: | --- |
 | Internet navigation | 18,184 segments | 65 segments | `annotations/internet.jsonl.gz` |
 | Simulated navigation | 2,460 episodes | 140 episodes | `annotations/simulation.jsonl.gz`, `simulation.npz` |
-| Habitat-GS-LN evaluation | 157 tasks in 45 scenes; includes a 10-task demo in 4 scenes | — | `annotations/evaluation/habitatgs_ln.json` |
+| Habitat-GS-LN evaluation | 157 tasks in 45 scenes; includes a 10-task test subset in 4 scenes | — | `annotations/evaluation/habitatgs_ln.json` |
 | Short-Horizon OVON evaluation | 524 tasks in 36 scenes | — | `annotations/evaluation/short_horizon_ovon.json` |
 
 The Internet collection references 13,647 upstream clips. Simulation uses
@@ -45,7 +45,7 @@ format without pickle; JSONL records supply their offsets and camera settings.
 From the ScaleNav code repository:
 
 ```bash
-hf download Yangyihui/ScaleNav-Data --repo-type dataset --revision v1.1 \
+hf download Yangyihui/ScaleNav-Data --repo-type dataset --revision v1.2 \
   --include 'annotations/*' --local-dir .
 ```
 
@@ -56,7 +56,7 @@ Follow the [data guide](https://github.com/yangyihui0502/ScaleNav/blob/main/docs
 to obtain upstream videos/scenes and reconstruct training inputs. Start with
 `--subset smoke` for a small training check. The separate
 [evaluation guide](https://github.com/yangyihui0502/ScaleNav/blob/main/docs/EVALUATION.md)
-covers the 10-case navigation demo and both full test sets. Short-Horizon OVON
+covers the 10-case navigation test subset and both full test sets. Short-Horizon OVON
 preparation downloads official task sources, joins our fixed 524-task selection
 and builds target footprints and reference paths from locally obtained HM3D
 scenes. The selected scene assets occupy 3.48 GB.

SHA256SUMS.json

@@ -4,16 +4,16 @@
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   },
   "README.md": {
-    "bytes": 4520,
-    "sha256": "d2406da5474386fe7c3da8b0be7542c1ee8ba8e0dcf8100221e7365dec4d396c"
+    "bytes": 4534,
+    "sha256": "1354215a2ed3ec81e64e3b5b3ac2fd2c3d4392aa5334599ab165a82c751b2629"
   },
   "annotations/LICENSE": {
     "bytes": 19018,
     "sha256": "600ca4e25fe11762b75a97e714707fab48bb778374e92d24c6ca068791661c11"
   },
   "annotations/evaluation/habitatgs_ln.json": {
-    "bytes": 155638,
-    "sha256": "6ab8bf54364c0f3dce295fb07109f37a7afabe3aaa6dc996b6bb2a2e973f189b"
+    "bytes": 155645,
+    "sha256": "3de580fea4dd6511b50148dc0ad1fd7ba23667d68b16faf7fb966d28de86ef89"
   },
   "annotations/evaluation/short_horizon_ovon.json": {
     "bytes": 160119,

annotations/evaluation/habitatgs_ln.json

@@ -652,7 +652,7 @@
     }
   },
   "subsets": {
-    "demo": [
+    "test_subset": [
       "0022_840117/base_mixed_v4__seg_10000",
       "0022_840117/object_dense_v4__v03_gpu0__seg_00004",
       "0022_840117/object_dense_v4__v03_gpu0__seg_00005",