VideoRoPE: What Makes for Good Video Rotary Position Embeddi
Collection
A storage repo for VideoRoPE.
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Dataset Viewer
The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
V-NIAH-D Benchmark
A Visual Needle-In-A-Haystack Benchmark with Periodic Distractors.
One can use it by following steps similar to V-NIAH.
VideoRoPE Training Data
To facilitate the reproduction of our experimental results, we have also uploaded the data used by VideoRoPE. We use a subset of the LLaVA-Video-178K dataset to train VideoRoPE.
The LLaVA-Video-178K dataset consists of 178K videos and approximately 5 million question-answer (QA) pairs from diverse sources such as HD-VILA, Kinetics, and ActivityNet. To balance training efficiency and long-video comprehension, we randomly select 136K videos with durations under 2 minutes and 18K videos with durations between 2 and 3 minutes. This process resulted in our training set containing approximately 1.3 million pairs.
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