{"url":"/dataset/qst","name":"QST","full_name":"Quick Sky Time","description_markdown":"QST contains `1,167` video clips that are cut out from `216 time-lapse 4K videos` collected from YouTube, which can be used for a variety of tasks, such as **`(high-resolution) video generation`**, **`(high-resolution) video prediction`**, **`(high-resolution) image generation`**, **`texture generation`**, **`image inpainting`**, **`image/video super-resolution`**, **`image/video colorization`**, **`image/video animating`**, etc. Each short clip contains multiple frames (from a minimum of `58` frames to a maximum of `1,200` frames, a total of `285,446` frames), and the resolution of each frame is more than `1,024 x 1,024`. Specifically, QST consists of a training set (containing `1000` clips, totally `244,930` frames), a validation set (containing `100` clips, totally `23,200` frames), and a testing set (containing `67` clips, totally `17,316` frames). Click [here](https://pan.baidu.com/s/1HUmSu-H1ot39ENeesVuz4Q ) (Key: qst1) to download the QST dataset.","description_withheld":null,"homepage":"https://github.com/zhangzjn/DTVNet","introduced_date":"2020-08-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/dtvnet-dynamic-time-lapse-video-generation","title":"DTVNet: Dynamic Time-lapse Video Generation via Single Still Image","first_author":"Jiangning Zhang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Image Generation","url":"/task/image-generation","datasets_with_task":"/datasets/task/image-generation"},{"name":"Image Super-Resolution","url":"/task/image-super-resolution","datasets_with_task":"/datasets/task/image-super-resolution"},{"name":"Video Prediction","url":"/task/video-prediction","datasets_with_task":"/datasets/task/video-prediction"},{"name":"Video Generation","url":"/task/video-generation","datasets_with_task":"/datasets/task/video-generation"},{"name":"Video Super-Resolution","url":"/task/video-super-resolution","datasets_with_task":"/datasets/task/video-super-resolution"},{"name":"Image Inpainting","url":"/task/image-inpainting","datasets_with_task":"/datasets/task/image-inpainting"},{"name":"Video Inpainting","url":"/task/video-inpainting","datasets_with_task":"/datasets/task/video-inpainting"},{"name":"Colorization","url":"/task/colorization","datasets_with_task":"/datasets/task/colorization"},{"name":"Texture Synthesis","url":"/task/texture-synthesis","datasets_with_task":"/datasets/task/texture-synthesis"}],"languages":[],"variants":["QST"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}