Add LeRobot dataset card with v3.0 tags

README.md

@@ -0,0 +1,190 @@
+---
+license: apache-2.0
+task_categories:
+- robotics
+tags:
+- LeRobot
+- lerobot
+- so101_follower
+configs:
+- config_name: default
+  data_files: data/*/*.parquet
+---
+
+This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
+
+## Dataset Description
+
+A robot manipulation dataset for imitation learning, compatible with **LeRobot v3.0** format.
+
+- **Robot Type:** so101_follower
+- **Total Episodes:** 30
+- **Total Frames:** 27606
+- **FPS:** 30
+- **Codebase Version:** v3.0
+
+### Features
+
+| Feature | Shape | Type |
+|---------|-------|------|
+| observation.state | [6] | float32 |
+| action | [6] | float32 |
+| observation.images.realsense | [480, 640, 3] | video |
+| observation.images.innomaker | [480, 640, 3] | video |
+
+## Dataset Structure
+
+[meta/info.json](meta/info.json):
+```json
+{
+  "codebase_version": "v3.0",
+  "robot_type": "so101_follower",
+  "total_episodes": 30,
+  "total_frames": 27606,
+  "total_tasks": 1,
+  "chunks_size": 1000,
+  "data_files_size_in_mb": 100,
+  "video_files_size_in_mb": 200,
+  "fps": 30,
+  "splits": {
+    "train": "0:30"
+  },
+  "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
+  "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
+  "features": {
+    "observation.state": {
+      "dtype": "float32",
+      "shape": [
+        6
+      ],
+      "names": [
+        "shoulder_pan.pos",
+        "shoulder_lift.pos",
+        "elbow_flex.pos",
+        "wrist_flex.pos",
+        "wrist_roll.pos",
+        "gripper.pos"
+      ]
+    },
+    "action": {
+      "dtype": "float32",
+      "shape": [
+        6
+      ],
+      "names": [
+        "shoulder_pan.pos",
+        "shoulder_lift.pos",
+        "elbow_flex.pos",
+        "wrist_flex.pos",
+        "wrist_roll.pos",
+        "gripper.pos"
+      ]
+    },
+    "observation.images.realsense": {
+      "dtype": "video",
+      "shape": [
+        480,
+        640,
+        3
+      ],
+      "names": [
+        "height",
+        "width",
+        "channels"
+      ],
+      "info": {
+        "video.height": 480,
+        "video.width": 640,
+        "video.codec": "av1",
+        "video.pix_fmt": "yuv420p",
+        "video.is_depth_map": false,
+        "video.fps": 30,
+        "video.channels": 3,
+        "has_audio": false
+      }
+    },
+    "observation.images.innomaker": {
+      "dtype": "video",
+      "shape": [
+        480,
+        640,
+        3
+      ],
+      "names": [
+        "height",
+        "width",
+        "channels"
+      ],
+      "info": {
+        "video.height": 480,
+        "video.width": 640,
+        "video.codec": "av1",
+        "video.pix_fmt": "yuv420p",
+        "video.is_depth_map": false,
+        "video.fps": 30,
+        "video.channels": 3,
+        "has_audio": false
+      }
+    },
+    "timestamp": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "names": null
+    },
+    "frame_index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "names": null
+    },
+    "episode_index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "names": null
+    },
+    "index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "names": null
+    },
+    "task_index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "names": null
+    }
+  }
+}
+```
+
+## Usage
+
+```python
+from lerobot.datasets.lerobot_dataset import LeRobotDataset
+
+# Load the dataset
+dataset = LeRobotDataset("CSI-Agent/test2")
+
+# Access a sample
+sample = dataset[0]
+print(sample.keys())
+```
+
+## Citation
+
+```bibtex
+@misc{test2,
+  title = {test2},
+  year = {2025},
+  publisher = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/datasets/CSI-Agent/test2}}
+}
+```