Datasets:

ayushsdev
/

qvhighlights-videos

license: cc-by-nc-sa-4.0
task_categories:
  - video-classification
  - video-text-to-text
language:
  - en
tags:
  - video
  - qvhighlights
  - moment-retrieval
  - highlight-detection
size_categories:
  - 10K<n<100K

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")