facebook/tgve_plus

---
dataset_info:
features:
- name: idx
dtype: int64
- name: task_name
dtype: string
- name: input_caption
dtype: string
- name: output_caption
dtype: string
- name: instruction
dtype: string
- name: video_path
dtype: string
splits:
- name: train
num_bytes: 287914
num_examples: 1418
download_size: 115426
dataset_size: 287914
---
# Dataset Card for the TGVE+ Test Set

## Dataset Description

- **Homepage: https://fdd-video-edit.github.io/**
- **Paper: https://arxiv.org/abs/2403.09334**

### Dataset Summary

We extend the widely used Text Guided Video Editing (TGVE) benchmark with additional editing tasks. The dataset now comprises seven editing tasks in total:
four from the original TGVE and three new tasks, namely (i) object removal (Remove), (ii) object addition (Add), and
(iii) texture alterations (Texture). The new tasks utilize the same 76 videos from the original TGVE benchmark.

Each row in the dataset consists of the instruction, input/output captions, and the relative path of the video in [TGVE](https://drive.google.com/file/d/1D7ZVm66IwlKhS6UINoDgFiFJp_mLIQ0W/view).
For more details please see our [paper](https://arxiv.org/abs/2403.09334) and [project page](https://fdd-video-edit.github.io/).

We'd like to thank [InstructVid2Vid](https://github.com/amazon-science/instruct-video-to-video) for creating instructions for the original TGVE tasks.

### Licensing Information

Licensed with CC-BY-NC 4.0 License available [here](https://creativecommons.org/licenses/by-nc/4.0/legalcode?fbclid=IwAR2SYZjLRywwUMblkWg0LyAxHVVTloIFlvC-ju3BthIYtOM2jpQHgbeXOsM).

### Citation Information
```
@inproceedings{Singer2024VideoEV,
title={Video Editing via Factorized Diffusion Distillation},
author={Uriel Singer and Amit Zohar and Yuval Kirstain and Shelly Sheynin and Adam Polyak and Devi Parikh and Yaniv Taigman},
year={2024},
url={https://api.semanticscholar.org/CorpusID:268385300}
}
```

原始信息汇总

数据集概述

数据集特征

• idx: 整数类型 (int64)
• task_name: 字符串类型 (string)
• input_caption: 字符串类型 (string)
• output_caption: 字符串类型 (string)
• instruction: 字符串类型 (string)
• video_path: 字符串类型 (string)

数据集划分

• 训练集:
  • 数据量: 287914 字节
  • 样本数: 1418

数据集大小

• 下载大小: 115426 字节
• 数据集大小: 287914 字节

数据集内容

• 该数据集扩展了原有的Text Guided Video Editing (TGVE) 基准，新增了三个编辑任务：对象移除（Remove）、对象添加（Add）和纹理改变（Texture）。
• 数据集包含76个视频，每个视频对应一条记录，包含指令、输入/输出字幕及视频的相对路径。