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README.md

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 license: cc-by-4.0
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+# 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.
+![](./Figures/categorization.png)
+
+## Data Statistics
+FETV contains 619 text prompts. The data distributions over different categories are as follows
+![](./Figures/content_attribute_statistics.png)
+![](./Figures/complexity_statistics.png)
+
+## Data Format
+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"
+  }
+```
+* "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.