Upload folder using huggingface_hub

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README.md

@@ -1,3 +1,260 @@
 ---
 license: apache-2.0
+task_categories:
+- robotics
+tags:
+- LeRobot
+- TeleXperience
+- DualArxR5a
+- teleoperation
+- dual-arm
+- wipe-table
+- living-room
+configs:
+- config_name: default
+  data_files: data/*/*.parquet
 ---
+
+This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
+
+
+<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=io-intelligence/WipeTable_DualArxR5a_TeleXperience">
+<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/>
+<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl-dark.svg"/>
+</a>
+
+
+## Dataset Description
+
+73 real-robot teleoperation episodes for **“Wipe the table.”** on a **DualArxR5a** dual-arm robot. Format: [LeRobot](https://github.com/huggingface/lerobot) **v3.0** (30 Hz parquet + H.264 videos).
+
+Collected with **[TeleXperience](https://io-ai.tech/en/telexperience/)**, IO-AI’s product for real-robot teleoperation and data collection.
+
+- **Task / language prompt:** `Wipe the table.`
+- **Robot:** DualArxR5a (bimanual, parallel-jaw grippers)
+- **Frames:** 629523 at 30 Hz
+- **Cameras:** `camera_high` (overhead), `camera_low` (lower scene), `camera_left_wrist`, `camera_right_wrist`
+- **Action / state:** 14-D, same names and order: `left_joint1–6`, `right_joint1–6`, `right_gripper`, `left_gripper` (grippers in `[0, 1]`)
+
+- **Homepage:** https://io-ai.tech/en/telexperience/
+- **Paper:** none
+- **License:** apache-2.0
+
+## Dataset Structure
+
+[meta/info.json](meta/info.json):
+```json
+{
+    "codebase_version": "v3.0",
+    "fps": 30,
+    "features": {
+        "action": {
+            "dtype": "float64",
+            "names": [
+                "left_joint1",
+                "left_joint2",
+                "left_joint3",
+                "left_joint4",
+                "left_joint5",
+                "left_joint6",
+                "right_joint1",
+                "right_joint2",
+                "right_joint3",
+                "right_joint4",
+                "right_joint5",
+                "right_joint6",
+                "right_gripper",
+                "left_gripper"
+            ],
+            "shape": [
+                14
+            ]
+        },
+        "episode_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ]
+        },
+        "frame_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ]
+        },
+        "index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ]
+        },
+        "observation.images.camera_high": {
+            "dtype": "video",
+            "info": {
+                "has_audio": false,
+                "video.channels": 3,
+                "video.codec": "h264",
+                "video.fps": 30,
+                "video.height": 480,
+                "video.is_depth_map": false,
+                "video.pix_fmt": "yuv420p",
+                "video.width": 640
+            },
+            "names": [
+                "height",
+                "width",
+                "channels"
+            ],
+            "shape": [
+                480,
+                640,
+                3
+            ]
+        },
+        "observation.images.camera_left_wrist": {
+            "dtype": "video",
+            "info": {
+                "has_audio": false,
+                "video.channels": 3,
+                "video.codec": "h264",
+                "video.fps": 30,
+                "video.height": 480,
+                "video.is_depth_map": false,
+                "video.pix_fmt": "yuv420p",
+                "video.width": 640
+            },
+            "names": [
+                "height",
+                "width",
+                "channels"
+            ],
+            "shape": [
+                480,
+                640,
+                3
+            ]
+        },
+        "observation.images.camera_low": {
+            "dtype": "video",
+            "info": {
+                "has_audio": false,
+                "video.channels": 3,
+                "video.codec": "h264",
+                "video.fps": 30,
+                "video.height": 480,
+                "video.is_depth_map": false,
+                "video.pix_fmt": "yuv420p",
+                "video.width": 640
+            },
+            "names": [
+                "height",
+                "width",
+                "channels"
+            ],
+            "shape": [
+                480,
+                640,
+                3
+            ]
+        },
+        "observation.images.camera_right_wrist": {
+            "dtype": "video",
+            "info": {
+                "has_audio": false,
+                "video.channels": 3,
+                "video.codec": "h264",
+                "video.fps": 30,
+                "video.height": 480,
+                "video.is_depth_map": false,
+                "video.pix_fmt": "yuv420p",
+                "video.width": 640
+            },
+            "names": [
+                "height",
+                "width",
+                "channels"
+            ],
+            "shape": [
+                480,
+                640,
+                3
+            ]
+        },
+        "observation.state": {
+            "dtype": "float64",
+            "names": [
+                "left_joint1",
+                "left_joint2",
+                "left_joint3",
+                "left_joint4",
+                "left_joint5",
+                "left_joint6",
+                "right_joint1",
+                "right_joint2",
+                "right_joint3",
+                "right_joint4",
+                "right_joint5",
+                "right_joint6",
+                "right_gripper",
+                "left_gripper"
+            ],
+            "shape": [
+                14
+            ]
+        },
+        "task_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ]
+        },
+        "timestamp": {
+            "dtype": "float32",
+            "shape": [
+                1
+            ]
+        }
+    },
+    "total_episodes": 73,
+    "total_frames": 629523,
+    "total_tasks": 1,
+    "chunks_size": 1000,
+    "data_files_size_in_mb": 100,
+    "video_files_size_in_mb": 200,
+    "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",
+    "robot_type": "DualArxR5a",
+    "splits": {
+        "train": "0:73"
+    }
+}
+```
+
+
+## How to load
+
+```python
+from lerobot.datasets import LeRobotDataset
+
+dataset = LeRobotDataset(
+    repo_id="io-intelligence/WipeTable_DualArxR5a_TeleXperience",
+)
+print(dataset)
+frame = dataset[0]
+```
+
+Local path (before upload):
+
+```python
+dataset = LeRobotDataset(
+    repo_id="io-intelligence/WipeTable_DualArxR5a_TeleXperience",
+    root="/path/to/livingroom_wipe_table_livingroom_wipe_table_DualArxR5a",
+    download_videos=False,
+    video_backend="pyav",
+)
+```
+
+## Citation
+
+**BibTeX:** none
+

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+{
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+}

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