| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - visual-question-answering |
| - question-answering |
| language: |
| - en |
| pretty_name: ShareGPT4Video Captions Dataset Card |
| size_categories: |
| - 1M<n |
| configs: |
| - config_name: ShareGPT4Video |
| data_files: sharegpt4video_40k.jsonl |
| --- |
| |
| # 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](https://ShareGPT4Video.github.io/)] [[Paper](https://arxiv.org/abs/2406.04325v1)] [[Code](https://github.com/ShareGPT4Omni/ShareGPT4Video)] [[ShareGPT4Video-8B](https://huggingface.co/Lin-Chen/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 |
