kolerk/Video_Reality_Test
VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? This repository serves as a benchmark for evaluating the realism of video generation models. It specifically focuses on ASMR content, which requires high fidelity in texture rendering, micro-movements, and audio-visual synchronization. Benchmark Structure This benchmark is divided into two difficulty levels. All data is provided in the test split to reflect its purpose for evaluation: real_hard: 100… See the full description on the dataset page: https://huggingface.co/datasets/kolerk/Video_Reality_Test.
| Author / organization | kolerk |
|---|---|
| License (as declared) | mit |
| Downloads | 818 (as reported by Hugging Face) |
| Likes | 11 |
| Created | 24 November 2025 |
| Last updated at source | 5 May 2026 |
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- 17 Oct 2026 Description: VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? This repository serves as a benchmark for evaluating the realism of video generation models. It specifically focuses on ASMR content, which requires high fidelity in textur → VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? This repository serves as a benchmark for evaluating the realism of video generation models. It specifically focuses on ASMR content, which requires high fidelity in textur
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.