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---
license: cc-by-4.0
task_categories:
- text-to-video
language:
- en
---
# FETV
**FETV** is a benchmark for **F**ine-grained **E**valuation of open-domain **T**ext-to-**V**ideo generation
## Overview
FETV consist of a diverse set of text prompts, categorized based on three orthogonal aspects: major content, attribute control, and prompt complexity.
## Dataset Structure
### Data Instances
All FETV data are all available in the file `fetv_data.json`. Each line is a data instance, which is formatted as:
```
{
"video_id": 1006807024,
"prompt": "A mountain stream",
"major content": {
"spatial": ["scenery & natural objects"],
"temporal": ["fluid motions"]
},
"attribute control": {
"spatial": null,
"temporal": null
},
"prompt complexity": ["simple"],
"source": "WebVid",
"video_url": "https://ak.picdn.net/shutterstock/videos/1006807024/preview/stock-footage-a-mountain-stream.mp4"
}
```
### Data Fields
* "video_id" is the video identifier in the original dataset where the prompt comes from.
* "prompt" is the text prompt for text-to-video generation.
* "major content", "attribute control" and "prompt complexity" are the three orthogonal aspects for categorization.
* "source" denotes the original dataset where the prompt comes from, which can be "WebVid", "MSRVTT" or "ours".
* "video_url" is the url link of the reference video.
### Dataset Statistics
FETV contains 619 text prompts. The data distributions over different categories are as follows (the numbers over categories do not sum up to 619 because a data instance can belong to multiple categories)
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