datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
StoryFrames
The StoryFrames Dataset
StoryFrames is a human-annotated dataset created to enhance a model's capability of understanding and reasoning over sequences of images.
It is specifically designed for tasks like generating a description for the next scene in a story based on previous visual and textual information.
The dataset repurposes the StoryBench dataset, a video dataset originally designed to predict future frames of a video.
StoryFrames subsamples frames from those videos and pairs… See the full description on the dataset page: https://huggingface.co/datasets/ingoziegler/StoryFrames.children-story-datasetflamingo-storyboardGenshin_Impact_Scaramouche_Storyline_Video_Captioned_Tinyimport os
import cv2
import numpy as np
from moviepy.editor import VideoFileClip
from tqdm import tqdm
import shutil
def change_resolution_and_save(input_path, output_path, target_width=1024, target_height=768, max_duration=4):
"""Process images and videos to target resolution and split videos into segments."""
os.makedirs(output_path, exist_ok=True)
for root, dirs, files in os.walk(input_path):
for file in tqdm(files, desc="Processing files"):
file_path =… See the full description on the dataset page: https://huggingface.co/datasets/svjack/Genshin_Impact_Scaramouche_Storyline_Video_Captioned_Tiny.Voice-Story-Player
Voice-Story-Player
概要
Auto-Voice-Story https://huggingface.co/datasets/Gazou-Seiri-Bu/Auto-Voice-Story
で作った声ドラマに画像や動画、BGMをつけて再生できるプレイヤーのpythonコードです。
動画はmp4とwebmが再生可能ですが、AIで生成したショート動画を想定しているので音声はでません。gif,webpアニメは読み込み時間がありますが一応再生可能です。
声の再生と同時にセリフをテキスト表示できます。音声抜きでセリフだけテキスト表示することもできます。
python, ffmpegをインストールしてパスを通しておく必要があります。win11で動作確認をしています。
※25/03/30 ランダムイメージフォルダ中のストーリーにない画像・動画のみ配置ボタンでカットとして追加されるようにしました。再生中のカット#が親ウインドウに戻ったとき反映されるようにしました。
※25/03/28… See the full description on the dataset page: https://huggingface.co/datasets/Gazou-Seiri-Bu/Voice-Story-Player.Storyline_Verticle_Videos
Dataset Description
This dataset is a large-scale collection of storyline-based vertical video data, containing 2,279 hours of content, designed to support the development and training of advanced video understanding models, multimodal AI systems, and next-generation vision-language applications.
It consists of real-world vertical videos with narrative and storytelling structures commonly found in modern short-form platforms. The dataset captures diverse scene transitions… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Storyline_Verticle_Videos.DOAXVV_Girl_Storyig-story-reelig-story-reelig-story-reelig-story-reelig-story-reelStory_Eval