datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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-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.