---
pretty_name: KIVI Generated Videos
license: other
language:
- en
viewer: false
tags:
- video-generation
- text-to-video
- factuality
- helpfulness
- benchmark
---

# KIVI Generated Videos

Generated videos and generation artifacts for **KIVI: Knowledge-Intensive Video Generation**.

- [Paper](https://arxiv.org/abs/2606.01285v2)
- [Code](https://github.com/wcxhimself/KIVI)

## Overview

KIVI evaluates whether text-to-video models can produce factually accurate and practically useful videos from information-seeking prompts.

This dataset contains preserved outputs for:

- MiniMax H3
- Seedance 2.5

Each model was evaluated on the same 54 prompts across 18 categories.

> **Availability note:** The paper evaluates nine models. Outputs for
> HappyHorse 1.0, Seedance 2.0, Wan 2.2, HunyuanVideo 1.5, Helios-Base,
> LongCat-Video, and LongLive 1.0 were not retained because an unexpected
> server restart occurred before backup. They are therefore not included.

## Browse Videos

Final videos can be viewed individually:

- [MiniMax H3](https://huggingface.co/datasets/wcxhimself/KIVI-Generated-Videos/tree/main/videos/minimax-h3)
- [Seedance 2.5](https://huggingface.co/datasets/wcxhimself/KIVI-Generated-Videos/tree/main/videos/seedance-2.5)

Each prompt directory contains:

- `final_video.mp4`: original-quality video
- `final_video_compressed.mp4`: compressed version for convenient viewing

## Structure

```text
├── videos/                    # Individually browsable final videos
│   ├── minimax-h3/
│   └── seedance-2.5/
├── archives/                  # Complete generation artifacts
│   ├── minimax-h3.tar.gz
│   └── seedance-2.5.tar.gz
├── common_outlines/           # Shared video outlines
└── common_script/             # Shared generation scripts
```

The complete archives additionally contain segment-level videos, prompts, configurations, and reference frames.

## Statistics

| Model | Prompts | Final outputs | Browsable MP4s | Archive size |
|---|---:|---:|---:|---:|
| MiniMax H3 | 54 | 54 | 108 | 3.05 GB |
| Seedance 2.5 | 54 | 54 | 108 | 3.01 GB |

Each final output is provided in both original and compressed form. The dataset also includes 54 shared scripts, 54 primary outlines, and 14 additional segment-level outline files.

## Download

Install the Hugging Face client, preferably in an isolated environment:

```bash
pip install -U huggingface_hub
```

Download the complete dataset:

```bash
hf download wcxhimself/KIVI-Generated-Videos \
  --repo-type dataset \
  --local-dir KIVI-Generated-Videos
```

Download one complete archive:

```bash
hf download wcxhimself/KIVI-Generated-Videos \
  archives/minimax-h3.tar.gz \
  --repo-type dataset \
  --local-dir .
```

Replace `minimax-h3.tar.gz` with `seedance-2.5.tar.gz` for the other model.

## Extraction

```bash
tar -xzf ./archives/minimax-h3.tar.gz
tar -xzf ./archives/seedance-2.5.tar.gz
```

## Checksums

```text
minimax-h3.tar.gz
5760ACCF2ADA6E688E32A43512C865CCB33BF03ACAF2BDAE36B5EC684A608E30

seedance-2.5.tar.gz
A9C6C672AF0A27A3EEB0F17CA82FA5656A5196FBDF1973E2443D7689882F6A47
```

## License and Usage

These files are released for research and evaluation purposes. Users must comply with the applicable terms and licenses of the corresponding model providers. The MIT license of the KIVI code repository does not automatically apply to third-party models, services, or generated outputs.

## Citation

```bibtex
@misc{wang2026knowledgeintensivevideogeneration,
  title         = {Knowledge-Intensive Video Generation},
  author        = {Chenxu Wang and Mingda Chen},
  year          = {2026},
  eprint        = {2606.01285},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  url           = {https://arxiv.org/abs/2606.01285}
}
```