{
 "id": "deepfakesMSU/CVQAD",
 "owner": "deepfakesMSU",
 "name": "CVQAD",
 "downloads": 916,
 "likes": 1,
 "last_modified": "2026-04-14T08:22:48.000Z",
 "stated_licence": "cc",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{gushchin2025leha,\n  author    = {Gushchin, Aleksandr and Smirnov, Maksim and Vatolin, Dmitriy S. and Antsiferova, Anastasia},\n  title     = {LEHA-CVQAD: Dataset To Enable Generalized Video Quality Assessment of Compression Artifacts},\n  booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia},\n  year      = {2025},\n  pages     = {13405--13412},\n  publisher = {Association for Computing Machinery},\n  address   = {New York, NY, USA},\n  doi       = {10.1145/3746027.3758303},\n  url       = {https://doi.org/10.1145/3746027.3758303}\n}\n\n@inproceedings{antsiferova2022video,\n  author    = {Antsiferova, Anastasia and Lavrushkin, Sergey and Smirnov, Maksim and Gushchin, Aleksandr and Vatolin, Dmitriy and Kulikov, Dmitriy},\n  title     = {Video compression dataset and benchmark of learning-based video-quality metrics},\n  booktitle = {Advances in Neural Information Processing Systems},\n  volume    = {35},\n  pages     = {13814--13825},\n  year      = {2022},\n  publisher = {Curran Associates, Inc.},\n  url       = {https://proceedings.neurips.cc/paper_files/paper/2022/file/59ac9f01ea2f701310f3d42037546e4a-Paper-Datasets_and_Benchmarks.pdf}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "c7e2b3e98baa91840d6e641b2cf037a85495e993",
 "stated_evidence": "https://huggingface.co/datasets/deepfakesMSU/CVQAD/blob/c7e2b3e98baa91840d6e641b2cf037a85495e993/README.md",
 "file_evidence": "https://huggingface.co/datasets/deepfakesMSU/CVQAD/tree/c7e2b3e98baa91840d6e641b2cf037a85495e993",
 "card_nc": false
}