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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. |
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| One can use it by following steps similar to [V-NIAH](https://github.com/EvolvingLMMs-Lab/LongVA). |
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| ## 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. |
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| 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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