Datasets:
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README.md
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- config_name: default
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data_files: data/*/*.parquet
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---
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This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
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{
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"codebase_version": "v2.1",
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"robot_type": "2d pointer",
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"total_episodes":
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"total_frames":
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"total_tasks": 1,
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"total_videos": 0,
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"total_chunks": 1,
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"chunks_size": 1000,
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"fps": 10,
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"splits": {
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"train": "0:
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},
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"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
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"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
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- config_name: default
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data_files: data/*/*.parquet
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---
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# PushT Dataset
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This dataset contains demonstrations for the PushT environment, a robotic manipulation task where an agent needs to push a T-shaped object onto a matching target surface.
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Each episode is initialized with a **randomized** T-block and target position and orientation to ensure a more realistic scenario.
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## Environment Details
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The dataset was collected using the [gym-pusht](https://github.com/huggingface/gym-pusht) environment, which provides a simple 2D robotic pushing task.
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- **Task**: Push the T-shaped gray block onto the T-shaped green target surface using the blue pointer.
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- **Observation Space**: RGB images (96×96×3) and agent position (2D coordinates)
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- **Action Space**: 2D coordinates for the agent position
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- **Success Condition**: The T-shaped block overlaps sufficiently with the target surface
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- **Randomized Goals**: This dataset uses a variation of the environment with `randomize_goal=True`, which randomizes the goal position for each episode, creating a more diverse and challenging dataset.
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## Dataset Creation
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This dataset was created through human demonstrations where a single human operator provided demonstrations of successful task completion.
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### Dataset Composition
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- **States**: RGB images and agent position coordinates
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- **Actions**: 2D position commands for the agent
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- **Rewards**: Sparse rewards based on task completion
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- **Metadata**: Success flags and episode information
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## Usage
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This dataset is intended for training imitation learning and reinforcement learning policies for object manipulation tasks.
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### Loading the Dataset
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This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
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{
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"codebase_version": "v2.1",
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"robot_type": "2d pointer",
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"total_episodes": 101,
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"total_frames": 9438,
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"total_tasks": 1,
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"total_videos": 0,
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"total_chunks": 1,
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"chunks_size": 1000,
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"fps": 10,
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"splits": {
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"train": "0:101"
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},
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"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
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"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
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