---
title: Step-Video-T2V-Eval
canonical_url: "https://www.modelscope.cn/datasets/stepfun-ai/Step-Video-T2V-Eval"
md_url: "https://www.modelscope.cn/datasets/stepfun-ai/Step-Video-T2V-Eval.md"
repository: stepfun-ai/Step-Video-T2V-Eval
last_updated: 2025-04-25
license: "Apache License 2.0"
storage_size: "539 MB"
downloads: 997
stars: 1
---

# Step-Video-T2V-Eval

> Step-Video-T2V-Eval - stepfun-ai 在 ModelScope 开源的数据集。This dataset contains the data of the paper Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model.

stepfun-ai/Step-Video-T2V-Eval 是 ModelScope 魔搭社区上的数据集，存储大小 539 MB，采用 Apache License 2.0 许可。

- **Repository**: stepfun-ai/Step-Video-T2V-Eval
- **License**: Apache License 2.0
- **Storage size**: 539 MB
- **Downloads**: 997
- **Stars**: 1
- **Last updated**: 2025-04-25

Source: https://www.modelscope.cn/datasets/stepfun-ai/Step-Video-T2V-Eval

---

This dataset contains the data of the paper [Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model](https://huggingface.co/papers/2502.10248).

Code: https://github.com/stepfun-ai/Step-Video-T2V
Project page: https://yuewen.cn/videos