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