vbvr
Datasets
All datasets matching “vbvr”vbvr-latent-cache-832x832x33f-t2v-only
VBVR Latent Cache (832×832 × 33f, Wan2.2-TI2V-5B VAE + UMT5-XXL)
Pre-encoded latent cache for the
Video-Reason/VBVR-Dataset
geometric / logical reasoning video corpus, prepared for Equilibrium Matching
(EqM) post-training of Wan-AI/Wan2.2-TI2V-5B-Diffusers on AWS Trainium2.
This is a working cache, not a primary dataset. It exists to skip the
~5 s/sample VAE+T5 encode cost during training. The original videos +
prompts live in the upstream VBVR-Dataset repo.
Source →… See the full description on the dataset page: https://huggingface.co/datasets/Central-Cat/vbvr-latent-cache-832x832x33f-t2v-only.vbvrpro_sampler_trajectories-2200-steps
VBVR-Pro sampler trajectory media
This media archive backs the interactive
pufanyi/vbvrpro_sampler_trajectories
Space.
It contains 12 matched evaluation cells:
DiffSynth step-35500 baseline and DanceGRPO checkpoint 2200
Flow-CPS noise 0.1, 0.3, 0.7, and 0.9
deterministic FlowMatch Euler ODE and UniPC ODE
500 samples per cell across 100 VBVR-Pro tasks
The deployment is split across three public media repositories so each Git-backed
Dataset remains below Hugging Face's… See the full description on the dataset page: https://huggingface.co/datasets/pufanyi/vbvrpro_sampler_trajectories-2200-steps.vbvrpro_sampler_trajectories-baseline-steps
VBVR-Pro sampler trajectory media
This media archive backs the interactive
pufanyi/vbvrpro_sampler_trajectories
Space.
It contains 12 matched evaluation cells:
DiffSynth step-35500 baseline and DanceGRPO checkpoint 2200
Flow-CPS noise 0.1, 0.3, 0.7, and 0.9
deterministic FlowMatch Euler ODE and UniPC ODE
500 samples per cell across 100 VBVR-Pro tasks
The deployment is split across three public media repositories so each Git-backed
Dataset remains below Hugging Face's… See the full description on the dataset page: https://huggingface.co/datasets/pufanyi/vbvrpro_sampler_trajectories-baseline-steps.vbvrpro_sampler_trajectories-data
VBVR-Pro sampler trajectory media
This media archive backs the interactive
pufanyi/vbvrpro_sampler_trajectories
Space.
It contains 12 matched evaluation cells:
DiffSynth step-35500 baseline and DanceGRPO checkpoint 2200
Flow-CPS noise 0.1, 0.3, 0.7, and 0.9
deterministic FlowMatch Euler ODE and UniPC ODE
500 samples per cell across 100 VBVR-Pro tasks
The deployment is split across three public media repositories so each Git-backed
Dataset remains below Hugging Face's… See the full description on the dataset page: https://huggingface.co/datasets/pufanyi/vbvrpro_sampler_trajectories-data.VBVR-Pro-SFT-Image
VBVR-Pro-SFT-Image
The interleaved-image supervised-fine-tuning split of VBVR-Pro: 1.24M programmatically generated reasoning instances across 250 parameterized tasks, one tar.gz per task.
Where VBVR-Pro-SFT-Video asks a model to render the reasoning process as a… See the full description on the dataset page: https://huggingface.co/datasets/Video-Reason/VBVR-Pro-SFT-Image.VBVR-Pro-SFT-Video
VBVR-Pro-SFT-Video
The video (I2V) supervised-fine-tuning split of VBVR-Pro: 1.24M programmatically generated reasoning instances across 250 parameterized tasks, one tar.gz per task.
At a glance
Property
Value
Tasks
250
Instances
1,250,000… See the full description on the dataset page: https://huggingface.co/datasets/Video-Reason/VBVR-Pro-SFT-Video.