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Abubacarr/beam-long-video-world-model

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Preview for Abubacarr/beam-long-video-world-model

Dataset Analysis

🌌 Beam Long-Video World Model Dataset This dataset was created for the Reflection AI + Hugging Face "Build with Beam" Challenge. It pairs compressed 3D Causal VAE video latents with Correlated Continuous Noise vectors and Hierarchical 1M Long-Context Captions & Predictive World-State Vectors generated by Beam 1.0 (501B-A23B). Designed specifically for next-generation Video World Models, Autoregressive Latent Transformers, and Diffusion Video Generation research.… See the full description on the dataset page: https://huggingface.co/datasets/Abubacarr/beam-long-video-world-model.

Provenance

Collected from huggingface-datasets.

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Resources

Tags

task_categories:text-to-videotask_categories:video-classificationtask_categories:feature-extractionannotations_creators:machine-generatedlanguage_creators:machine-generatedlanguage:enlicense:apache-2.0size_categories:n<1Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usvideo-generationworld-modelsreflection-aibeam-1.0build-with-beam3d-causal-vaecorrelated-continuous-noiselatent-diffusionlong-contextnext-frame-prediction