ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
Paper • 2406.04325 • Published • 75
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End of preview. Expand in Data Studio
ShareGPT4Video 4.8M Dataset Card
Dataset details
Dataset type: ShareGPT4Video Captions 4.8M is a set of GPT4-Vision-powered multi-modal captions data of videos.
It is constructed to enhance modality alignment and fine-grained visual concept perception in Large Video-Language Models (LVLMs) and Text-to-Video Models (T2VMs). This advancement aims to bring LVLMs and T2VMs towards the capabilities of GPT4V and Sora.
- sharegpt4video_40k.jsonl is generated by GPT4-Vision (ShareGPT4Video).
- share-captioner-video_mixkit-pexels-pixabay_4814k_0417.json is generated by our ShareCaptioner-Video trained on GPT4-Vision-generated video-caption pairs.
- sharegpt4video_mix181k_vqa-153k_share-cap-28k.json is curated from sharegpt4video_instruct_gpt4-vision_cap40k.json for the supervised fine-tuning stage of LVLMs.
- llava_v1_5_mix665k_with_video_chatgpt72k_share4video28k.json has replaced 28K detailed-caption-related data in VideoChatGPT with 28K high-quality captions from ShareGPT4Video. This file is utilized to validate the effectiveness of high-quality captions under the VideoLLaVA and LLaMA-VID models.
Dataset date:
ShareGPT4Video Captions 4.8M was collected in 4.17 2024.
Paper or resources for more information: [Project] [Paper] [Code] [ShareGPT4Video-8B]
License: Attribution-NonCommercial 4.0 International It should abide by the policy of OpenAI: https://openai.com/policies/terms-of-use
Intended use
Primary intended uses: The primary use of ShareGPT4Video Captions 4.8M is research on large multimodal models and text-to-video models. Primary intended users: The primary intended users of this dataset are researchers and hobbyists in computer vision, natural language processing, machine learning, AIGC, and artificial intelligence.
Paper
arxiv.org/abs/2406.04325
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