Omkar2118/datasets huggingface dataset:
VISION
Full name: VISION dataset

The dataset contains more than 35000 images and 600 videos captured using 35 different portable devices of 11 major brands. In addition to the original acquisitions, images were shared through Facebook and WhatsApp whereas videos were shared through YouTube and WhatsApp platforms.

The dataset was introduced in the following paper: Shullani, Dasara, et al. "VISION: a video and image dataset for source identification." EURASIP Journal on Information Security 2017.1 (2017): 1-16, https://doi.org/10.1186/s13635-017-0067-2.
EVA
Full name: EVA-7K dataset

The dataset contains 7000 videos: native, altered and exchanged through social platforms. The altered contents include manipulations with FFmpeg, AVIdemux, Kdenlive and Adobe Premiere. The social platforms used to exchange the native and altered videos are Facebook, Tiktok, Youtube and Weibo. 

A detailed description of the dataset is available in the journal paper by Yang, Pengpeng, et al. "Efficient Video Integrity Analysis Through Container Characterization." IEEE Journal of Selected Topics in Signal Processing 14.5 (2020): 947-954, 10.1109/JSTSP.2020.3008088.

Introducing paper: Efficient video integrity analysis through container characterization