All datasets / I3TDataset
I3TDataset/RateAR
The declared licence (cc-by-4.0) is classified as permissive.
- Declared licence
- cc-by-4.0, from the tagEvidence: README.md at 6a7e1cb
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 6a7e1cb
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- Yes
Tasks
Citation text from the card
@inproceedings{rotondo2026ratear,
author = {Rotondo, Elias and Duan, Lin and Xiu, Yanming and Eom, Sangjun and Li, Conrad, and Gorlatova, Maria},
title = {Harnessing Vision-Language Models for Perceptual Quality Assessment and Autonomous Content Adjustment in Augmented Reality},
year = {2026},
isbn = {9798400728112},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3822517.3848685},
doi = {10.1145/3822517.3848685},
booktitle = {Proceedings of the 2026 32nd ACM Symposium on Virtual Reality Software and Technology},
location = {Sendai, Japan},
series = {VRST '26}
}
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dataset_licence({ "id": "I3TDataset/RateAR" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0