FoxyLegend created this dataset on the Hugging Face platform, last updated on April 12, 2026. It contains 10 episodes of robot data generated using the LeRobot framework, totaling 1,557 frames. The dataset is structured for a single task and includes video data recorded at 30 frames per second.
Use Cases
- Evaluate robot policy performance based on recorded episode data.
- Train or fine-tune robot control models using the provided episode frames.
- Analyze robot behavior and task execution across multiple episodes.
- Benchmark imitation learning or reinforcement learning algorithms on a specific robot task.
Strengths
- Contains 10 distinct episodes, providing multiple task execution examples.
- Includes 1,557 frames of data, offering temporal granularity for analysis.
- Video data is recorded at a standard 30 frames per second.
- Dataset structure is explicitly defined with a splits configuration for training.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Hugging Face dataset by author FoxyLegend.
- Collection Method
- Created using the LeRobot framework.
- Time Range
- null
- Freshness
- Last updated 2026-04-12 19:27:54; freshness should be verified.
- Geography
- null