README.md

---
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

```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")
```