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+ ---
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+ license: cc-by-nc-sa-4.0
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+ task_categories:
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+ - video-classification
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+ - video-text-to-text
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+ language:
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+ - en
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+ tags:
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+ - video
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+ - qvhighlights
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+ - moment-retrieval
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+ - highlight-detection
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # QVHighlights Videos
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+
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+ All 25124 videos from the QVHighlights benchmark (train + val + test splits).
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+ Total size: 135.3 GB.
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+
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+ ## Layout
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+
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+ Files are sharded into subdirectories by the first character of the filename
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+ (HuggingFace caps each directory at 10,000 files):
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+
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+ ```
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+ <first-char>/<youtube-id>_<start>_<end>.mp4
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+ ```
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+
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+ ## Source
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+
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+ Lei et al., "QVHighlights: Detecting Moments and Highlights in Videos via Natural
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+ Language Queries" (NeurIPS 2021).
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+ Original archive: https://nlp.cs.unc.edu/data/jielei/qvh/qvhilights_videos.tar.gz
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+
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+ ## Usage
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+
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+ ```python
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+ from huggingface_hub import hf_hub_download
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+
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+ # Filename starts with 'h', so it lives in the 'h/' subdirectory
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+ video = hf_hub_download(
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+ repo_id="ayushsdev/qvhighlights-videos", repo_type="dataset",
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+ filename="V/VLHkdrM2NAg_210.0_360.0.mp4",
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+ )
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+ ```
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+
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+ To download the full dataset:
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+
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+ ```python
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+ from huggingface_hub import snapshot_download
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+ snapshot_download(repo_id="ayushsdev/qvhighlights-videos", repo_type="dataset")
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+ ```
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+ size 4096
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