datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
VBVR-Bench-Data
VBVR: A Very Big Video Reasoning Suite
Overview
Video reasoning grounds intelligence in spatiotemporally consistent visual environments that go beyond what text can naturally capture,
enabling intuitive reasoning over motion, interaction, and causality. Rapid progress in video models has focused primarily on visual quality.
Systematically studying video reasoning and its scaling behavior suffers from a lack of… See the full description on the dataset page: https://huggingface.co/datasets/Video-Reason/VBVR-Bench-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.VBVR-Pro-RL
VBVR-Pro-RL
The reinforcement-learning split of VBVR-Pro: 50 parameterized tasks × 1,000 instances, held out from the SFT splits, in both a video (TI2V) and an interleaved-image setting.
At a glance
Property
Value
Tasks
50
Instances per… See the full description on the dataset page: https://huggingface.co/datasets/Video-Reason/VBVR-Pro-RL.VBVR-Dataset
VBVR-Dataset: Very Big Video Reasoning Training Data
## Overview
VBVR-Dataset is an unprecedentedly large-scale video reasoning training resource, part of the Very Big Video Reasoning (VBVR) Suite. This release contains the training split: 100 curated reasoning task generators with 1,000,000 video clips (10,000 samples per generator), with each sample consisting of a video, start/end frames, a textual reasoning prompt, and… See the full description on the dataset page: https://huggingface.co/datasets/Video-Reason/VBVR-Dataset.VBVR-Reorganized-Image
VBVR-Reorganized-Image
Image-mode derivative of VBVR-Reorganized.
Each sample is a triple (first_frame.png, prompt.txt, final_frame.png):
the model takes first_frame + prompt as input and should output an
image that matches final_frame. No video in this version — purely
single-image-input, single-image-output.
Layout
VBVR-Reorganized-Image/
├── train/
│ ├── Pure_Reasoning/ (48 generators, 480,000 samples)
│ └── Instruction_Following/ (48 generators, 480… See the full description on the dataset page: https://huggingface.co/datasets/May-apple/VBVR-Reorganized-Image.VBVR-Reorganized
VBVR-Reorganized
Reorganized + prompt-cleaned + paired-variant-augmented version of VBVR
(Video-Based Visual Reasoning), prepared for video-generation training.
The dataset partitions every task into Pure_Reasoning (PR) vs
Instruction_Following (IF), rewrites Pure_Reasoning prompts to remove
leak phrases, and adds 4 paired-variant generators (G-21B/G-36B/O-18B/O-19B)
that share a first frame with their forward counterpart but require the
model to generate a different ground-truth… See the full description on the dataset page: https://huggingface.co/datasets/May-apple/VBVR-Reorganized.VBVR-Pro-Bench
VBVR-Pro-Bench
The frozen evaluation split of VBVR-Pro. 100 parameterized reasoning tasks, 5 held-out instances each, in both a video (I2V) and an interleaved-image setting.
At a glance
Property
Value
Tasks
100 (In-Domain_50 50 +… See the full description on the dataset page: https://huggingface.co/datasets/Video-Reason/VBVR-Pro-Bench.vbvr-thinkgen
VBVR ThinkGen
VBVR ThinkGen is the current ThinkGen training snapshot derived from the balanced VBVR corpus. It contains 99,958 unique videos across 100 generator families, paired with the v7 prompts used by the ThinkGen video-reasoning experiments.
The snapshot combines:
the prompt revisions from May-apple/VBVR-Reorganized,
the additive ThinkGen v3-v5 prompt revisions over previously untouched families, and
the v6 owner-review pass (2026-09-08): 30 families / 30,000 prompts… See the full description on the dataset page: https://huggingface.co/datasets/xvreason/vbvr-thinkgen.vbvr-thinkgen
VBVR ThinkGen
VBVR ThinkGen is the current ThinkGen training snapshot derived from the balanced VBVR corpus. It contains 99,958 unique videos across 100 generator families, paired with the v7 prompts used by the ThinkGen video-reasoning experiments.
The snapshot combines:
the prompt revisions from May-apple/VBVR-Reorganized,
the additive ThinkGen v3-v5 prompt revisions over previously untouched families, and
the v6 owner-review pass (2026-09-08): 30 families / 30,000 prompts… See the full description on the dataset page: https://huggingface.co/datasets/Kkuntal990/vbvr-thinkgen.VBVR-Bench-Data
VBVR: A Very Big Video Reasoning Suite
Overview
Video reasoning grounds intelligence in spatiotemporally consistent visual environments that go beyond what text can naturally capture,
enabling intuitive reasoning over motion, interaction, and causality. Rapid progress in video models has focused primarily on visual quality.
Systematically studying video reasoning and its scaling behavior suffers from a lack of video… See the full description on the dataset page: https://huggingface.co/datasets/abs794/VBVR-Bench-Data.VBVR-Bench
VBVR-Bench
Re-hosted copy of Video-Reason/VBVR-Bench-Data,
converted to standard HuggingFace parquet format.
Splits
in_domain: 50 tasks x 5 samples = 250 entries (tasks overlap with the VBVR training set).
out_of_domain: 50 tasks x 5 samples = 250 entries (held-out reasoning tasks).
Schema
field
type
notes
task_name
string
e.g. G-13_grid_number_sequence_data-generator
video_idx
string
zero-padded sample id (00000..00004)
domain
string… See the full description on the dataset page: https://huggingface.co/datasets/pufanyi/VBVR-Bench.VBVR-Test-Bench
VBVR-Test-Bench
A reorganization of the Video-Reason/VBVR-Bench-Data test set, organized first by split (In-Domain / Out-of-Domain), then by class (Instruction_Following / Pure_Reasoning), and inside Pure_Reasoning, further split into unchanged vs rewritten.
Class / bucket
Tasks
Samples
Instruction_Following
56
280
Pure_Reasoning / unchanged
27
135
Pure_Reasoning / rewritten
17
85
Total
100
500
rewritten tasks are reasoning tasks whose upstream VBVR prompt… See the full description on the dataset page: https://huggingface.co/datasets/May-apple/VBVR-Test-Bench.VBVR-G-13_latentsVBVR-G-15_latentsVBVR-G-3_latentsVBVR-G-8_latentsVBVR-G-9_latents