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--- |
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license: cc-by-nc-4.0 |
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task_categories: |
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- text-to-video |
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language: |
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- en |
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size_categories: |
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- 1M<n<10M |
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tags: |
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- prompts |
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- text-to-video |
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--- |
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<img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/teasor.png"> |
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# Summary |
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This is the dataset proposed in our paper "VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models" |
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VidProM is the first dataset featuring 1.67 million unique text-to-video prompts and 6.69 million videos generated from 4 different state-of-the-art diffusion models. |
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It inspires many exciting new research areas, such as Text-to-Video Prompt Engineering, Efficient Video Generation, Fake Video Detection, and Video Copy Detection for Diffusion Models. |
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# Directory |
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``` |
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*DATA_PATH |
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*VidProM_unique.csv |
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*VidProM_semantic_unique.csv |
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*VidProM_embed.hdf5 |
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*original_files |
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*generate_1_ori.html |
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*generate_2_ori.html |
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... |
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*pika_videos |
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*pika_videos_1.tar |
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*pika_videos_2.tar |
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... |
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*vc2_videos |
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*vc2_videos_1.tar |
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*vc2_videos_2.tar |
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... |
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*t2vz_videos |
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*t2vz_videos_1.tar |
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*t2vz_videos_2.tar |
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... |
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*ms_videos |
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*ms_videos_1.tar |
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*ms_videos_2.tar |
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... |
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``` |
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# Download |
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### Automatically |
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Install the [datasets](https://huggingface.co/docs/datasets/v1.15.1/installation.html) library first, by: |
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``` |
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pip install datasets |
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``` |
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Then it can be downloaded automatically with |
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``` |
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import numpy as np |
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from datasets import load_dataset |
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dataset = load_dataset('WenhaoWang/VidProM') |
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``` |
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### Manual |
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You can download each file by ```wget```, for instance: |
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``` |
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wget https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/VidProM_unique.csv |
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``` |
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# Explanation |
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``VidProM_unique.csv`` contains the UUID, prompt, time, and 6 NSFW probabilities. |
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``VidProM_semantic_unique.csv`` is a semantically unique version of ``VidProM_unique.csv``. |
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``VidProM_embed.hdf5`` is the 3072-dim embeddings of each prompt. They are embedded by text-embedding-3-large, which is the latest text embedding model of OpenAI. |
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``original_files`` are the HTML files collected by DiscordChatExporter. |
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``pika_videos``, ``vc2_videos``, ``t2vz_videos``, and ``ms_videos`` are the generated videos by 4 state-of-the-art text-to-video diffusion models. Each contains 30 tar files. |
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# Datapoint |
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<img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/datapoint.png"> |
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# Comparison with DiffusionDB |
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<img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/compare_table.png"> |
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<img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/compare_visual.png"> |
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Please check our paper for a detailed comparison. |
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# Citation |
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# Contact |
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If you have any questions, feel free to contact Wenhao Wang ([email protected]). |
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