| # Dataset Card for nvidia-physical-ai-sample | |
| This dataset is a **small curated sample (100 items)** extracted from the full | |
| [NVIDIA PhysicalAI Autonomous Vehicles dataset](https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles). | |
| It is intended for **quick experimentation**, **tutorials**, and **FiftyOne integration demos** without requiring the multi-terabyte original dataset. | |
| --- | |
| ## Installation | |
| If you haven't already, install FiftyOne: | |
| ```bash | |
| pip install -U fiftyone | |
| ``` | |
| --- | |
| ## Usage | |
| ```python | |
| import fiftyone as fo | |
| from fiftyone.utils.huggingface import load_from_hub | |
| # Load the sample dataset | |
| dataset = load_from_hub("dgural/PhysicalAI-Autonomous-Vehicles-Sample") | |
| # Launch the App | |
| session = fo.launch_app(dataset) | |
| ``` | |
| --- | |
| # Dataset Details | |
| ## Dataset Description | |
| This dataset provides a **representative slice** of the NVIDIA PhysicalAI Autonomous Vehicles dataset, including: | |
| - Camera | |
| - A structure identical to the full dataset, suitable for: | |
| - Pipeline prototyping | |
| - Instructional demos | |
| - AV data exploration with FiftyOne | |
| - Quick testing of loaders/adapters/exporters | |
| The full dataset is available at: | |
| **https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles** | |
| ### Curated by | |
| Voxel51 (sample extraction), derived from NVIDIA’s original dataset. | |
| ### Language(s) | |
| - en (metadata) | |
| ### License | |
| Inherits licensing from the original NVIDIA dataset. | |
| See the main dataset page for license details. | |
| --- | |
| ## Dataset Sources | |
| - **Primary Dataset:** NVIDIA PhysicalAI Autonomous Vehicles | |
| - **Sample Extraction:** Voxel51 using FiftyOne + Physical AI Workbench pipelines | |
| - **Repository:** https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles | |
| - **Demo Code:** https://github.com/voxel51/fiftyone | |
| --- | |
| # Uses | |
| ## Direct Use | |
| Appropriate uses of this dataset include: | |
| - Testing dataset import/export mechanisms | |
| - Unit tests for dataset auditing logic | |
| - Teaching users how to navigate AV sensor datasets | |
| - Lightweight experimentation | |
| ## Out-of-Scope Use | |
| This sample is **not** suitable for: | |
| - Training ML models | |
| - Benchmarking performance | |
| - Statistical analysis | |
| - Scenario diversity evaluation | |
| - Research intended to generalize across AV driving conditions | |
| --- | |
| # Dataset Structure | |
| This sample preserves the same organizational layout as the full PhysicalAI dataset: | |
| - Per-sample grouped data | |
| Each sample corresponds to a discrete AV sensor datapoint. | |
| --- | |
| # Dataset Creation | |
| ## Curation Rationale | |
| The full PhysicalAI dataset is extremely large. | |
| This sample provides a lightweight, highly portable subset that can be used for: | |
| - Rapid experimentation | |
| - Prototyping ingestion pipelines | |
| - Teaching and demos | |
| - Running on laptops or small instances | |
| ## Source Data | |
| The underlying data originates from NVIDIA’s PhysicalAI dataset. | |
| The sample was created by subselecting a limited number of frames and repacking them while preserving field structure. | |
| ### Source data produced by | |
| NVIDIA Autonomous Vehicles & PhysicalAI teams. | |
| --- | |
| # Bias, Risks, and Limitations | |
| Because this is a **non-representative sample**, it: | |
| - Does *not* capture full scenario diversity | |
| - Should *not* be used for model training | |
| - Cannot support robust statistical evaluation | |
| - May omit critical driving edge cases | |
| It is designed solely for small-scale experimentation. | |
| --- | |
| # Citation | |
| If you use this dataset or sample, cite the original: | |
| **NVIDIA PhysicalAI Autonomous Vehicles Dataset** | |
| https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles | |
| --- | |
| # Contact | |
| For questions related to this sample or the Physical AI Workbench: | |
| https://voxel51.com | |