--- dataset_info: features: - name: model_name dtype: string - name: id_prompt dtype: string - name: frame_prompt dtype: string - name: Image dtype: image - name: sub_images list: - name: bytes dtype: binary - name: videos list: - name: motion_bucket_id dtype: int64 - name: video_bytes dtype: binary - name: sub_image dtype: image - name: motion_bucket_id dtype: int64 - name: video dtype: binary splits: - name: train num_bytes: 751715811.0 num_examples: 30 download_size: 81637911 dataset_size: 751715811.0 configs: - config_name: default data_files: - split: train path: data/train-* --- ```python from datasets import load_dataset from IPython import display ds = load_dataset("svjack/OnePromptOneStory-Examples-Vid-head2-Exp")["train"] def bytes_to_video(video_bytes, output_path="output.mp4"): """ 将二进制数据转换为视频文件并保存到指定路径。 参数: video_bytes (bytes): 视频的二进制数据。 output_path (str): 视频文件的保存路径。 返回: str: 视频文件的路径。 """ with open(output_path, "wb") as video_file: video_file.write(video_bytes) return output_path bytes_to_video(ds[3]["video"], "vid0.mp4") display.Video("vid0.mp4", height = 512, width = 512) bytes_to_video(ds[-3]["video"], "vid1.mp4") display.Video("vid1.mp4", width = 512, height = 512) ``` ## 视频演示