VGI-Bench / README.md
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---
task_categories:
- text-to-video
---
# VGI-Bench | Data
[![arXiv](https://img.shields.io/badge/arXiv-2608.19583-b31b1b?style=for-the-badge&logo=arxiv&logoColor=white)](https://arxiv.org/abs/2608.19583) [![Project Page](https://img.shields.io/badge/Project-Page-1f8acb?style=for-the-badge&logo=googlechrome&logoColor=white)](https://hexuan21.github.io/VGI-Bench/) [![GitHub](https://img.shields.io/badge/GitHub-Code-black?style=for-the-badge&logo=github&logoColor=white)](https://github.com/hexuan21/VGI-Bench)
This repository holds the **data** of VGI-Bench, in two subtrees:
- `bench_data/` -- the benchmark itself: 27 tasks, each at 3
difficulty levels (`lv1`/`lv2`/`lv3`) with 10 instances for each level, where
an instance pairs an input image (16:9 -- also the first frame for video
models) with a text prompt. 16 of the tasks additionally ship an
image-generation prompt, the rest being video-only, and every task comes with
the rubric and completeness specs used for the VLM-as-judge evaluation.
- `eval_res/` -- the raw generations every evaluated model produced on those
instances, plus the 640px previews the project page streams.
```
bench_data/<task>/
input_image/lv{1,2,3}/<task>_lv<N>_<id>.png input image = first frame
prompt/video_gen_prompt/ prompt for video-gen models
prompt/image_gen_prompt/ prompt for image-gen models / UMM (optional)
judge_spec/_judge_rubric_<task>.json VLM-as-judge checklist
judge_spec/_completeness_judge.txt completeness scale (0 / 1 / 2)
eval_res/
video_model_res/<model>/<task>/<task>_<lv>_<id>.mp4
image_model_res/<model>/<task>/<task>_<lv>_<id>.png
_preview/... 640px previews
```