Remove 15 specified coffee-filter episodes and rebuild consistent LeRobot exports

README.md

@@ -41,7 +41,7 @@ An animated overview of 56 tasks in a uniform 8 × 7 grid, with head-camera and
 
 ## Overview
 
-**SharpaDex v1.0** is a real-world teleoperation dataset for bimanual dexterous manipulation. It contains 29,008 demonstration episodes across 59 manipulation tasks, comprising 32,436,623 frames (approximately 300.3 hours at 30 FPS).
+**SharpaDex v1.0** is a real-world teleoperation dataset for bimanual dexterous manipulation. It contains 28,993 demonstration episodes across 59 manipulation tasks, comprising 32,396,172 frames (approximately 300.0 hours at 30 FPS).
 
 Data were collected through human teleoperation of a real bimanual robotic system with two 7-DoF arms, two 22-DoF dexterous hands, four RGB cameras, and fingertip tactile sensors. Each episode provides synchronized joint state, joint torque, tool-center-point state, observed and commanded TCP poses, action, numeric tactile measurements, RGB video, tactile video, and temporally aligned language annotations.
 
@@ -51,7 +51,7 @@ The task set covers object rearrangement, articulated-object interaction, assemb
 
 | Tasks | Episodes | Duration | Frequency | Video streams | Language segments |
 | ---: | ---: | ---: | ---: | ---: | ---: |
-| 59 | 29,008 | 300.3 hours | 30 FPS | 6 | 208,909 |
+| 59 | 28,993 | 300.0 hours | 30 FPS | 6 | 208,264 |
 
 | Modality | Content |
 | --- | --- |
@@ -61,7 +61,7 @@ The task set covers object rearrangement, articulated-object interaction, assemb
 | Language | Structured task descriptions, frame-aligned subtasks, and 45 skill labels |
 | Format | LeRobot v3.0 and v2.1 for every released season |
 
-> **Version note:** v3.0 and v2.1 are two exports of the same demonstrations. Dataset scale must be reported as 29,008 episodes and 32,436,623 frames, not the sum of both exports.
+> **Version note:** v3.0 and v2.1 are two exports of the same demonstrations. Dataset scale must be reported as 28,993 episodes and 32,396,172 frames, not the sum of both exports.
 
 <details>
 <summary>Detailed dataset statistics</summary>
@@ -70,11 +70,11 @@ The task set covers object rearrangement, articulated-object interaction, assemb
 | --- | ---: |
 | Manipulation tasks | 59 |
 | Collection seasons | 495 |
-| Episodes (one export) | 29,008 |
-| Frames (one export) | 32,436,623 |
-| Approximate duration at 30 FPS | 300.3 hours |
-| LeRobot v3.0 seasons / episodes | 495 / 29,008 |
-| LeRobot v2.1 seasons / episodes | 495 / 29,008 |
+| Episodes (one export) | 28,993 |
+| Frames (one export) | 32,396,172 |
+| Approximate duration at 30 FPS | 300.0 hours |
+| LeRobot v3.0 seasons / episodes | 495 / 28,993 |
+| LeRobot v2.1 seasons / episodes | 495 / 28,993 |
 | FPS | 30 |
 | Synchronized video streams | 6 |
 | State / action dimension | 65 |
@@ -82,9 +82,9 @@ The task set covers object rearrangement, articulated-object interaction, assemb
 | TCP-state dimension | 24 |
 | Observed / commanded TCP-pose dimension | 12 / 12 |
 | Tactile-signal dimension | 60 |
-| Episodes with global language annotations | 29,008 (100%) |
-| Temporally grounded language segments | 208,909 |
-| Frames covered by temporal language segments | 28,933,128 (89.2%) |
+| Episodes with global language annotations | 28,993 (100%) |
+| Temporally grounded language segments | 208,264 |
+| Frames covered by temporal language segments | 28,897,608 (89.2%) |
 | Distinct skill labels | 45 |
 
 </details>
@@ -152,7 +152,7 @@ Task directories use lowercase `snake_case` names with an action-object-target s
 | `relocate_tennis_ball` | 1 | 450 | 157,112 |
 | `place_fruits_in_basket` | 8 | 416 | 286,988 |
 | `place_pens_in_holder` | 11 | 399 | 427,274 |
-| `place_coffee_filter_in_dripper` | 21 | 799 | 1,826,481 |
+| `place_coffee_filter_in_dripper` | 21 | 784 | 1,786,030 |
 | `insert_socket_module_into_board` | 2 | 957 | 512,619 |
 | `transfer_pills_between_cups` | 9 | 479 | 239,561 |
 | `pry_nails_from_board` | 3 | 24 | 21,174 |
@@ -389,7 +389,7 @@ Each episode is decomposed into language segments. A segment contains:
 | `label` | Annotation type, including `subtasks` and recovered action descriptions |
 | `id` | Episode-local subtask identifier |
 
-Across the release, all 29,008 episodes contain language annotations. The dataset provides 208,909 temporal subtask segments spanning 28,933,128 frames, or approximately 89.2% of all frames. The segments use 45 nonempty skill labels; recovered descriptions may not have a separate skill label. Frames outside a fine-grained segment remain associated with the episode-level task description.
+Across the release, all 28,993 episodes contain language annotations. The dataset provides 208,264 temporal subtask segments spanning 28,897,608 frames, or approximately 89.2% of all frames. The segments use 45 nonempty skill labels; recovered descriptions may not have a separate skill label. Frames outside a fine-grained segment remain associated with the episode-level task description.
 
 For example, a plate-cleaning trajectory is decomposed into phases such as:
 

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