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license: apache-2.0
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## 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](https://github.com/EvolvingLMMs-Lab/LongVA).

## 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](https://huggingface.co/datasets/lmms-lab/LLaVA-Video-178K) 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.