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Add TransportBeaker dataset card and corrected CC BY-NC 4.0 metadata
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---
license: cc-by-nc-4.0
language:
- en
tags:
- robotics
- lerobot
- labutopia
- transportbeaker
- franka
- image-in-parquet
---
# LabUtopia-Level3-TransportBeaker
The **LabUtopia Level3 TransportBeaker** demonstration dataset collected in a simulated scientific laboratory.
## Dataset Summary
| Property | Value |
| --- | --- |
| Task | Level3 TransportBeaker |
| Robot | Single-arm Franka |
| Episodes | **100** |
| Frames | **86,336** |
| Sampling Rate | 60 Hz |
| RGB Cameras | 3 × 256 × 256 |
| Raw State | 8 dimensions |
| Raw Action | 8 dimensions |
| Data Storage | Approximately 9.45 GiB, embedded image bytes within Parquet |
| Format | LeRobot v3.0 metadata with images in Parquet (no separate MP4 files) |
The task prompt in the current episode metadata is: "Pick up the beaker from the table and place it at the target."
## Data Structure
The repository stores 100 Parquet demonstration files under data/chunk-000/, one Parquet episode metadata table under meta/episodes/, and the following metadata:
- meta/info.json
- meta/tasks.parquet
- meta/stats.json
- meta/stats_canonical_grip.json
- meta/labvla_manifest.json
Each frame contains observations from camera_1_rgb, camera_2_rgb, camera_3_rgb, observation.state, action, timestamp, frame_index, episode_index, index, and task_index.
Camera frames are image bytes embedded in the Parquet files. Do not assume an MP4 video folder is available.
## Validation
Read-only inspection verified all 100 data-file references and 86,336 Parquet rows, consistent with the declared episode and frame counts. The source dataset was also successfully loaded and sampled with LeRobot 0.4.4.
The associated fine-tuned LabVLA checkpoint's norm_stats.json and this dataset's meta/stats_canonical_grip.json are byte-for-byte identical (SHA256 9e9da9599949fe24ad7c241cc63af930962e02faa4cd02d8a4c8096b645a4230).
## Action Semantics and Schema Versioning
The 8-dimensional raw action comprises seven arm dimensions and one gripper-width dimension. In the matching LabVLA training pipeline, the arm action is transformed into Delta Action while the gripper width remains absolute.
**Schema note:** This dataset's meta/labvla_manifest.json identifies labutopia_level3_transportbeaker_v1, whereas the trained high-performing checkpoint uses labutopia_level3_transportbeaker_v3. This difference is documented rather than silently changed. Consumers of the released model should use the actual checkpoint schema and the matching LabVLA transformation pipeline.
Do not replace canonical gripper normalization with generic Action Statistics without verification.
## Loading
Use a compatible LeRobot version. Example for LeRobot 0.4.4:
from lerobot.datasets.lerobot_dataset import LeRobotDataset
dataset = LeRobotDataset("zjunlp/LabUtopia-Level3-TransportBeaker")
print(len(dataset)) # 86336
sample = dataset[0]
## License and Attribution
**CC BY-NC 4.0** applies to the original LabUtopia data assets. Source code has a separate MIT License; the MIT License does not supersede the restrictions on data assets.
Original LabUtopia project: https://github.com/Rui-li023/LabUtopia
This release contains TransportBeaker demonstrations only. It intentionally excludes historical _old copies, other task datasets, backups, temporary scan files, and unrelated experimental results.
Please cite the original LabUtopia and LabVLA papers when using this dataset.