Swap Stereo #01/#03 identities and synchronize metadata

{#03_Stereo_Restaurant_Chop_Vegetables → #01_Stereo_Restaurant_Chop_Vegetables}/LeRobot_v3.0/meta/info.json

@@ -88,7 +88,7 @@
         "quantize": {
           "qmax": 4095,
           "formula_mm": "depth_mm = clip(exp(code*(log(depth_max+shift)-log(depth_min+shift))/qmax + log(depth_min+shift)) - shift, depth_min, depth_max) * 1000 (depth_min/max/shift in metres)",
-          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer ships with the full sample set)."
+          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer is available in the full package on request; not included in this sample)."
         },
         "is_depth_map": true
       }

{#03_Stereo_Restaurant_Chop_Vegetables → #01_Stereo_Restaurant_Chop_Vegetables}/Metadata.yaml

@@ -1,4 +1,4 @@
-clip_id: '#03_Stereo_Restaurant_Chop_Vegetables'
+clip_id: '#01_Stereo_Restaurant_Chop_Vegetables'
 dataset: Hub Egocentric Human Demonstrations Sample Set
 category: '#01 · Stereo RGB-D (Depth)'
 device: StereoLabs ZED X Mini

#02_Stereo_Restaurant_Arrange_Table/LeRobot_v3.0/meta/info.json

@@ -88,7 +88,7 @@
         "quantize": {
           "qmax": 4095,
           "formula_mm": "depth_mm = clip(exp(code*(log(depth_max+shift)-log(depth_min+shift))/qmax + log(depth_min+shift)) - shift, depth_min, depth_max) * 1000 (depth_min/max/shift in metres)",
-          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer ships with the full sample set)."
+          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer is available in the full package on request; not included in this sample)."
         },
         "is_depth_map": true
       }

{#01_Stereo_Restaurant_Arrange_Glasses → #03_Stereo_Restaurant_Arrange_Glasses}/LeRobot_v3.0/meta/info.json

@@ -88,7 +88,7 @@
         "quantize": {
           "qmax": 4095,
           "formula_mm": "depth_mm = clip(exp(code*(log(depth_max+shift)-log(depth_min+shift))/qmax + log(depth_min+shift)) - shift, depth_min, depth_max) * 1000 (depth_min/max/shift in metres)",
-          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer ships with the full sample set)."
+          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer is available in the full package on request; not included in this sample)."
         },
         "is_depth_map": true
       }

{#01_Stereo_Restaurant_Arrange_Glasses → #03_Stereo_Restaurant_Arrange_Glasses}/Metadata.yaml

@@ -1,4 +1,4 @@
-clip_id: '#01_Stereo_Restaurant_Arrange_Glasses'
+clip_id: '#03_Stereo_Restaurant_Arrange_Glasses'
 dataset: Hub Egocentric Human Demonstrations Sample Set
 category: '#01 · Stereo RGB-D (Depth)'
 device: StereoLabs ZED X Mini
@@ -44,6 +44,10 @@ depth_details:
   mcap_depth: none (Data.mcap carries stereo/mono RGB + IMU + VIO pose + calibration; no depth topic)
   metric_layers: metric depth is delivered in this clip's LeRobot_v3.0/ folder (LeRobot v3.0; native metric-mm
     decode on lerobot >= 0.6.0)
+quality_notes:
+  temporal_variation: >-
+    Arrange Glasses has greater capture-motion/depth temporal variation than Chop Vegetables;
+    sequential review found no alternating-frame, freeze, blank, or decode defect
 mcap:
   schema_encodings:
   - protobuf

#04_Stereo_Restaurant_Wash_Dishes/LeRobot_v3.0/meta/info.json

@@ -88,7 +88,7 @@
         "quantize": {
           "qmax": 4095,
           "formula_mm": "depth_mm = clip(exp(code*(log(depth_max+shift)-log(depth_min+shift))/qmax + log(depth_min+shift)) - shift, depth_min, depth_max) * 1000 (depth_min/max/shift in metres)",
-          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer ships with the full sample set)."
+          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer is available in the full package on request; not included in this sample)."
         },
         "is_depth_map": true
       }

#05_Stereo_Meeting_Room_Arrange_Chairs/LeRobot_v3.0/meta/info.json

@@ -88,7 +88,7 @@
         "quantize": {
           "qmax": 4095,
           "formula_mm": "depth_mm = clip(exp(code*(log(depth_max+shift)-log(depth_min+shift))/qmax + log(depth_min+shift)) - shift, depth_min, depth_max) * 1000 (depth_min/max/shift in metres)",
-          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer ships with the full sample set)."
+          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer is available in the full package on request; not included in this sample)."
         },
         "is_depth_map": true
       }

#06_Stereo_Office_Photocopy/LeRobot_v3.0/meta/info.json

@@ -88,7 +88,7 @@
         "quantize": {
           "qmax": 4095,
           "formula_mm": "depth_mm = clip(exp(code*(log(depth_max+shift)-log(depth_min+shift))/qmax + log(depth_min+shift)) - shift, depth_min, depth_max) * 1000 (depth_min/max/shift in metres)",
-          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer ships with the full sample set)."
+          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer is available in the full package on request; not included in this sample)."
         },
         "is_depth_map": true
       }

#07_Stereo_Openspace_Rack_The_Ball/LeRobot_v3.0/meta/info.json

@@ -88,7 +88,7 @@
         "quantize": {
           "qmax": 4095,
           "formula_mm": "depth_mm = clip(exp(code*(log(depth_max+shift)-log(depth_min+shift))/qmax + log(depth_min+shift)) - shift, depth_min, depth_max) * 1000 (depth_min/max/shift in metres)",
-          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer ships with the full sample set)."
+          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer is available in the full package on request; not included in this sample)."
         },
         "is_depth_map": true
       }

#08_Stereo_Outdoor_Seating_Area_Sweep/LeRobot_v3.0/meta/info.json

@@ -88,7 +88,7 @@
         "quantize": {
           "qmax": 4095,
           "formula_mm": "depth_mm = clip(exp(code*(log(depth_max+shift)-log(depth_min+shift))/qmax + log(depth_min+shift)) - shift, depth_min, depth_max) * 1000 (depth_min/max/shift in metres)",
-          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer ships with the full sample set)."
+          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer is available in the full package on request; not included in this sample)."
         },
         "is_depth_map": true
       }

#09_Stereo_Pantry_Wash_Tea_Set/LeRobot_v3.0/meta/info.json

@@ -88,7 +88,7 @@
         "quantize": {
           "qmax": 4095,
           "formula_mm": "depth_mm = clip(exp(code*(log(depth_max+shift)-log(depth_min+shift))/qmax + log(depth_min+shift)) - shift, depth_min, depth_max) * 1000 (depth_min/max/shift in metres)",
-          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer ships with the full sample set)."
+          "note": "decode the .mp4 with -pix_fmt gray12le to recover exact 12-bit codes; code 0 marks out-of-range pixels (disparity < 1 px; rare). lerobot >= 0.6.0 auto-dequantizes via the video.depth_* keys: LeRobotDataset[i] returns metric mm/metres natively. On lerobot <= 0.4.x (no depth-aware decode), metric truth = 12-bit codes + this formula. Depth below ~0.25 m is beyond reliable stereo resolvability at this baseline \u2014 treat as low-confidence (a per-pixel confidence layer is available in the full package on request; not included in this sample)."
         },
         "is_depth_map": true
       }

README.md

@@ -36,9 +36,9 @@ Each clip is a top-level folder named `#NN_...` holding its media, a Foxglove `D
 
 | clip_id | task | device | environment | duration_s | fps | resolution |
 |---|---|---|---|---|---|---|
-| #01_Stereo_Restaurant_Arrange_Glasses | Arrange Glasses | StereoLabs ZED X Mini | Restaurant | 66.4 | 28.91 | 1920x1200 per eye (Stereo.mp4 is side-by-side 3840x1200) |
+| #01_Stereo_Restaurant_Chop_Vegetables | Chop Vegetables | StereoLabs ZED X Mini | Restaurant | 59.84 | 30.08 | 1920x1200 per eye (Stereo.mp4 is side-by-side 3840x1200) |
 | #02_Stereo_Restaurant_Arrange_Table | Arrange Table | StereoLabs ZED X Mini | Restaurant | 163.37 | 29.38 | 1920x1200 per eye (Stereo.mp4 is side-by-side 3840x1200) |
-| #03_Stereo_Restaurant_Chop_Vegetables | Chop Vegetables | StereoLabs ZED X Mini | Restaurant | 59.84 | 30.08 | 1920x1200 per eye (Stereo.mp4 is side-by-side 3840x1200) |
+| #03_Stereo_Restaurant_Arrange_Glasses | Arrange Glasses | StereoLabs ZED X Mini | Restaurant | 66.4 | 28.91 | 1920x1200 per eye (Stereo.mp4 is side-by-side 3840x1200) |
 | #04_Stereo_Restaurant_Wash_Dishes | Wash Dishes | StereoLabs ZED X Mini | Restaurant | 57.08 | 29.43 | 1920x1200 per eye (Stereo.mp4 is side-by-side 3840x1200) |
 | #05_Stereo_Meeting_Room_Arrange_Chairs | Arrange Chairs | StereoLabs ZED X Mini | Meeting Room | 60.45 | 60.0 | 1920x1200 per eye (Stereo.mp4 is side-by-side 3840x1200) |
 | #06_Stereo_Office_Photocopy | Photocopy | StereoLabs ZED X Mini | Office | 74.98 | 60.0 | 1920x1200 per eye (Stereo.mp4 is side-by-side 3840x1200) |
@@ -46,6 +46,10 @@ Each clip is a top-level folder named `#NN_...` holding its media, a Foxglove `D
 | #08_Stereo_Outdoor_Seating_Area_Sweep | Sweeping | StereoLabs ZED X Mini | Outdoor | 100.77 | 29.77 | 1920x1200 per eye (Stereo.mp4 is side-by-side 3840x1200) |
 | #09_Stereo_Pantry_Wash_Tea_Set | Wash Tea Set | StereoLabs ZED X Mini | Pantry | 74.42 | 60.0 | 1920x1200 per eye (Stereo.mp4 is side-by-side 3840x1200) |
 
+**Quality note:** clip #03 (Arrange Glasses) has greater capture-motion/depth temporal variation
+than clip #01 (Chop Vegetables). Sequential review found no alternating-frame, freeze, blank, or
+decode defect. The media is retained unchanged as a temporal-variation evaluation case.
+
 ## Loading (LeRobot v3.0, per clip)
 
 Each clip folder contains a self-contained `LeRobot v3.0` dataset under `LeRobot_v3.0/`, loadable on `lerobot >= 0.6.0` with native metric-depth decode:
@@ -55,7 +59,7 @@ from pathlib import Path
 from huggingface_hub import snapshot_download
 from lerobot.datasets.lerobot_dataset import LeRobotDataset
 
-clip = "#03_Stereo_Restaurant_Chop_Vegetables"
+clip = "#01_Stereo_Restaurant_Chop_Vegetables"
 local = snapshot_download(
     "Hubdata/egocentric-stereo-rgbd",
     repo_type="dataset",

catalog.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:982ab3cd16e5b7bcc36dfad0aa9023e0a339b415a50bb7730be386c79ff71ff2
-size 4077
+oid sha256:ec006fba06affd8e65df745a9b5eb78ebf4ddab67924a20a48181b4d156db210
+size 4041

docs/DATA_CARD.md

@@ -17,9 +17,9 @@ egocentric-perception evaluation, and as egocentric human-manipulation demonstra
 
 | # | Clip | Frames | Duration | What's demonstrated |
 |---|---|---|---|---|
-| 01 | Restaurant · Arrange Glasses | 1,920 | 66 s | Arranging drinking glasses on a counter: close-range bimanual manipulation of transparent objects (a classically hard stereo case). |
+| 01 | Restaurant · Chop Vegetables | 1,800 | 60 s | Chopping vegetables: fast periodic knife/tool motion in the near field. |
 | 02 | Restaurant · Arrange Table | 4,800 | 163 s | Setting a table: plates, cutlery, repeated reach-place cycles; longest clip. |
-| 03 | Restaurant · Chop Vegetables | 1,800 | 60 s | Chopping vegetables: fast periodic knife/tool motion in the near field. |
+| 03 | Restaurant · Arrange Glasses | 1,920 | 66 s | Arranging drinking glasses on a counter: close-range bimanual manipulation of transparent objects (a classically hard stereo case). |
 | 04 | Restaurant · Wash Dishes | 1,680 | 57 s | Washing dishes at a sink: running water, wet specular surfaces, frequent very-close-range activity (highest near-field saturation). |
 | 05 | Meeting Room · Arrange Chairs | 3,627 | 60 s | Moving and arranging chairs: room-scale motion, large low-texture walls. 60 fps. |
 | 06 | Office · Photocopy | 4,499 | 75 s | Operating a photocopier: device interaction, uniform surfaces. 60 fps. |
@@ -67,7 +67,7 @@ Total: **29,758 frames** across the 9 clips.
   range, roughly quadratically (about one disparity-pixel ≈ 8% depth error near 3 m, and coarser
   toward the 10 m clip). Near and table-scale depth is the strong regime; treat room-scale and
   outdoor mid and far depth as scale-correct but low-precision.
-- **Near field (< 0.25 m).** On close-range clips (01, 02, 04), roughly 10-16% of pixels fall
+- **Near field (< 0.25 m).** On close-range clips (02, 03, 04), roughly 10-16% of pixels fall
   inside the ~0.25 m near band, dominated by self-occlusion, the wearer's own body, and shrinking
   left/right stereo overlap rather than raw resolvability. They are reported at their computed
   values, not masked; treat them as low-confidence.
@@ -76,6 +76,9 @@ Total: **29,758 frames** across the 9 clips.
   metric use.
 - **Extreme motion (clip 07).** On the fastest-motion clip (thrown balls), brief whole-scene depth
   re-grades can appear on a small fraction of frames (~3%). Disclosed in the clip card.
+- **Temporal variation (clip 03, Arrange Glasses).** This clip has greater capture-motion/depth
+  temporal variation than clip 01 (Chop Vegetables). Sequential review found no alternating-frame,
+  freeze, blank, or decode defect. The media is retained unchanged for temporal-variation evaluation.
 - **Edge softening.** Temporal smoothing trades a small amount of edge sharpness at fast motion
   boundaries for frame-to-frame stability.
 - **Transparent and specular** surfaces (glassware, wet surfaces) produce locally unreliable depth,

docs/DELIVERY_README.md

@@ -15,7 +15,7 @@ recording, card, and its ready-to-load LeRobot dataset.
 
 ```
 Stereo RGB-D (Depth)/
-  #01_Stereo_Restaurant_Arrange_Glasses/ ... #09_Stereo_Pantry_Wash_Tea_Set/   (9 clip folders)
+  #01_Stereo_Restaurant_Chop_Vegetables/ ... #09_Stereo_Pantry_Wash_Tea_Set/   (9 clip folders)
       Stereo.mp4        side-by-side stereo RGB, 3840×1200 (1920×1200 per eye), h265
       Monocam.mp4       mono RGB, h265
       Depth.mp4         dense metric-depth preview (colorized), full-frame 1920×1200
@@ -44,6 +44,10 @@ low-precision). Invalid or unresolved pixels are encoded as code 0, which **deco
 floor (not NaN)**, so drop `depth ≤ 0.01 m` before metric use. The far clip decodes to exactly
 10 m. See DATA_CARD §5 for the full accuracy scope.
 
+**Temporal-variation case.** Clip #03 (Arrange Glasses) has greater capture-motion/depth temporal
+variation than clip #01 (Chop Vegetables). Sequential review found no alternating-frame, freeze,
+blank, or decode defect. The media is retained unchanged for temporal-variation evaluation.
+
 ## 3. LeRobot v3.0 dataset (per clip, in `LeRobot_v3.0/`)
 
 Every clip folder contains a self-contained `LeRobotDataset` v3.0 dataset in its `LeRobot_v3.0/`
@@ -54,7 +58,7 @@ from pathlib import Path
 from huggingface_hub import snapshot_download
 from lerobot.datasets.lerobot_dataset import LeRobotDataset
 
-clip = "#03_Stereo_Restaurant_Chop_Vegetables"
+clip = "#01_Stereo_Restaurant_Chop_Vegetables"
 delivery_root = Path(snapshot_download(
     "Hubdata/egocentric-stereo-rgbd",
     repo_type="dataset",