--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - robotics - manipulation configs: - config_name: default data_files: - split: train path: data/**/*.parquet --- # mydataset (TEST) ## Dataset Description LeRobot v3.0 format dataset collected via the LeRobot Dataset Proxy Server. This dataset contains robot manipulation episodes with synchronized sensor data and video recordings. ## Dataset Structure ``` mydataset/ ├── data/ │ └── chunk-000/ │ ├── episode_000000.parquet │ ├── episode_000001.parquet │ └── ... ├── videos/ │ └── observation.images.front/ │ └── chunk-000/ │ ├── episode_000000.mp4 │ ├── episode_000001.mp4 │ └── ... ├── meta/ │ ├── info.json │ ├── episodes.jsonl │ └── tasks.jsonl └── README.md ``` ## Data Format ### Parquet Columns Each episode parquet file contains the following columns: | Column | Type | Description | |--------|------|-------------| | `timestamp` | float64 | Timestamp in seconds | | `frame_index` | int64 | Frame index within the episode | | `episode_index` | int64 | Episode identifier | | `action` | list[float] | Robot action vector | | `observation.state` | list[float] | Robot joint states | ### Video - Format: MP4 - Camera views: `observation.images.front` ### Metadata (meta/info.json) ```json { "codebase_version": "v3.0", "robot_type": "so100", "fps": 30, "total_episodes": 0, "total_frames": 0, "total_tasks": 1, "total_chunks": 1 } ``` ## Collection Details - **Robot**: SO-100 - **Control Frequency**: 30 Hz - **Proxy Server**: LeRobot Dataset Proxy (FastAPI + Celery) - **Storage**: HuggingFace Hub (LFS for large files) ## Usage ### With LeRobot ```python from lerobot.common.datasets.lerobot_dataset import LeRobotDataset dataset = LeRobotDataset("echwang/mydataset") print(f"Episodes: {dataset.num_episodes}") print(f"Frames: {dataset.num_frames}") ``` ### With surro-cli ```bash # Download surro dataset download --name mydataset # Upload a new episode surro episode upload --dataset mydataset --dir ./episode_001 ``` ### With HuggingFace Datasets ```python from datasets import load_dataset dataset = load_dataset("echwang/mydataset") ``` ## License This dataset is released under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).