Update README: correct task distribution (12 tasks), episode ranges

README.md

@@ -32,26 +32,26 @@ RGB-D hand manipulation dataset captured with iPhone 13 TrueDepth sensor for hum
 | Episodes | 147 |
 | Total Frames | ~72,000 |
 | FPS | 30 |
-| Tasks | 10 manipulation tasks |
+| Tasks | 12 manipulation tasks |
 | Total Duration | ~40 minutes |
 | Avg Episode Length | ~16.3 seconds |
 
 ### Task Distribution
 
-| Task ID | Description | Episodes |
-|---------|-------------|----------|
-| Task 1 | Fold the white t-shirt on the bed | 8 |
-| Task 2 | Fold the jeans on the bed | 10 |
-| Task 3 | Fold two underwear and stack them | 10 |
-| Task 4 | Put the pillow on the right place | 10 |
-| Task 5 | Pick up plate and glass, put on stove | 10 |
-| Task 6 | Go out the door and close it | 9 |
-| Task 7 | Pick up sandals, put next to scale | 10 |
-| Task 8 | Put cloth in basket, close drawer | 10 |
-| Task 9 | Screw the cap on your bottle | 10 |
-| Task 10 | Pick up two objects, put on bed | 10 |
-
-> **Note:** Task distribution is approximate and will be updated with per-episode language instructions.
+| Task | Description | Episodes | Count |
+|------|-------------|----------|-------|
+| 1 | Fold the t-shirt on the bed. | 0–7 | 8 |
+| 2 | Pick up the two items on the floor and put them on the bed. | 8–17 | 10 |
+| 3 | Fold the jeans on the bed. | 18–27 | 10 |
+| 4 | Fold the underwear on the table. | 28–37 | 10 |
+| 5 | Put the pillow in its correct place. | 38–47 | 10 |
+| 6 | Place the tableware on the kitchen counter. | 48–57 | 10 |
+| 7 | Get out of the room and close the door behind you. | 58–66 | 9 |
+| 8 | Put the sandals in the right place. | 67–76 | 10 |
+| 9 | Put the cleaning cloth in the laundry basket. | 77–86 | 10 |
+| 10 | Screw the cap back on the bottle. | 87–96 | 10 |
+| 11 | Tuck the chairs into the table. | 97–127 | 31 |
+| 12 | Put the dishes in the sink. | 128–146 | 19 |
 
 ---
 
@@ -93,7 +93,7 @@ humanoid-robots-training-dataset/
 
 | Column | Type | Description |
 |--------|------|-------------|
-| `episode_index` | int64 | Episode number (0-146) |
+| `episode_index` | int64 | Episode number (0–146) |
 | `frame_index` | int64 | Frame within episode |
 | `timestamp` | float64 | Time in seconds |
 | `language_instruction` | string | Task description |
@@ -163,7 +163,7 @@ dataset = LeRobotDataset("DynamicIntelligence/humanoid-robots-training-dataset")
 episode = dataset[0]
 state = episode["observation.camera_pose"]    # [6] camera 6-DoF
 rgb = episode["observation.images.rgb"]       # Video frame
-task = episode["language_instruction"]        # Task description
+task = episode["language_instruction"]        # "Fold the t-shirt on the bed."
 ```
 
 ### Direct Parquet Access
@@ -178,7 +178,7 @@ path = hf_hub_download(
     repo_type="dataset"
 )
 df = pd.read_parquet(path)
-print(df.columns.tolist())
+print(df["language_instruction"].iloc[0])  # "Fold the t-shirt on the bed."
 print(f"Frames: {len(df)}")
 ```
 
@@ -218,6 +218,3 @@ Each hand has tracked joints. The `observation.left_hand` and `observation.right
 ## Visualizer
 
 Explore the dataset interactively: [DI Hand Pose Sample Dataset Viewer](https://huggingface.co/spaces/DynamicIntelligence/dynamic_intelligence_sample_data)
-
-- **Enable plots**: Click the white checkbox next to joint names to show data in the graph
-- **Full data access**: All joint data is available in the parquet files under `Files and versions`