Datasets:
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---
license: cc-by-4.0
task_categories:
- text-to-video
language:
- en
tags:
- text-to-video
- Video Generative Model Training
- Text-to-Video Diffusion Model Training
- prompts
pretty_name: OpenVid-1M
size_categories:
- 1K<n<10K
dataset_info:
features:
- name: aesthetic_score
dtype: float32
---
<p align="center">
<img src="https://huggingface.co/datasets/nkp37/OpenVid-1M/resolve/main/OpenVid-1M.png">
</p>
Combination of part_id's from [bigdata-pw/OpenVid-1M](https://huggingface.co/datasets/bigdata-pw/OpenVid-1M) and video data from [nkp37/OpenVid-1M](https://huggingface.co/datasets/nkp37/OpenVid-1M).
This is a 1k video split of the original dataset for faster iteration during testing. The split was obtained by filtering on aesthetic and motion scores by iteratively increasing their values until there were at most 1000 videos. Only videos containing between 80 and 240 frames were considered.
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