Datasetpublic

ayushsdev/qvhighlights-videos

QVHighlights Videos All 25124 videos from the QVHighlights benchmark (train + val + test splits). Total size: 135.3 GB. Layout Files are sharded into subdirectories by the first character of the filename (HuggingFace caps each directory at 10,000 files): <first-char>/<youtube-id>_<start>_<end>.mp4 Source Lei et al., "QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries" (NeurIPS 2021). Original archive:… See the full description on the dataset page: https://huggingface.co/datasets/ayushsdev/qvhighlights-videos.

sourceHugging Facecc-by-nc-sa-4.0updated 5mo agoView on Hugging Face

0likes18kdownloads

Dataset Card

QVHighlights Videos

All 25124 videos from the QVHighlights benchmark (train + val + test splits). Total size: 135.3 GB.

Layout

Files are sharded into subdirectories by the first character of the filename (HuggingFace caps each directory at 10,000 files):

<first-char>/<youtube-id>_<start>_<end>.mp4

Source

Lei et al., "QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries" (NeurIPS 2021). Original archive: https://nlp.cs.unc.edu/data/jielei/qvh/qvhilights_videos.tar.gz

Usage

python

from huggingface_hub import hf_hub_download

# Filename starts with 'h', so it lives in the 'h/' subdirectory
video = hf_hub_download(
    repo_id="ayushsdev/qvhighlights-videos", repo_type="dataset",
    filename="V/VLHkdrM2NAg_210.0_360.0.mp4",
)

To download the full dataset:

python

from huggingface_hub import snapshot_download
snapshot_download(repo_id="ayushsdev/qvhighlights-videos", repo_type="dataset")