For research results to be comparable, it is important to have common datasets for experimentation and evaluation. The size of such datasets, however, can be an obstacle to their use. The Vimeo Creative Commons Collection (V3C) is a video dataset designed to be representative of video content found on the web, containing roughly 3800 hours of video in total, split into three shards. In this paper, we present insights on the second of these shards (V3C2) and discuss their implications for research areas, such as video retrieval, for which the dataset might be particularly useful. We also provide all the extracted data in order to simplify the use of the dataset.

中文翻译：

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对V3C2数据集的见解

为了使研究结果具有可比性，重要的是要有用于实验和评估的通用数据集。但是，此类数据集的大小可能会阻碍其使用。Vimeo Creative Commons Collection（V3C）是一个视频数据集，旨在表示在网络上找到的视频内容，总共包含大约3800个小时的视频，分为三个片段。在本文中，我们对第二个碎片（V3C2）提出了见解，并讨论了它们对研究领域（例如视频检索）的意义，对于这些领域，数据集可能特别有用。我们还提供了所有提取的数据，以简化数据集的使用。