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Description
Omni Dreams Samples is a curated dataset of single-view driving sequences for evaluating the NVIDIA AlpaDreams world model. The dataset includes ground truth videos, HD-map rasterized conditioning videos, first-frame RGB images, and text prompts. It was authored by NVIDIA and last updated on June 4, 2026.
Use Cases
Evaluating world model predictions based on ground truth video sequences.
Training or fine-tuning video generation models based on HD-map conditioning data.
Analyzing the relationship between text prompts and driving scene content.
Benchmarking autonomous driving perception systems based on single-view video data.
Strengths
Curated specifically for evaluating the NVIDIA AlpaDreams world model.
Includes multiple data modalities: video, rasterized HD-maps, images, and text prompts.
Authored by NVIDIA, a leading organization in AI and autonomous driving.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Row count, file formats, and license information are unknown.
Column-level documentation is absent; field semantics must be inferred after download.
Provenance
Source
NVIDIA
Collection Method
Curated driving sequences, likely from simulation or real-world sources.
Time Range
null
Freshness
Last updated 2026-06-04 04:15:58.
Geography
null
License is unknown; users should verify terms before use.