---
license: other
license_name: academic-source-terms
license_link: https://activity-net.org/
task_categories:
- video-classification
- text-to-video
- video-text-to-text
language:
- en
tags:
- video
- youtube
- tornadolabs
pretty_name: "ActivityNet v1.3"
---

# ActivityNet v1.3

[![Powered by Tornado API](https://tornadoapi.io/badge.svg)](https://tornadoapi.io?ref=hf-activitynet-badge)

**15,941 videos** (391.3 GB) with 1,550 subtitle files, downloaded at source
quality and re-hosted for direct use — no more dead YouTube links, no more flaky
downloader scripts.

## What's inside

- **`metadata.jsonl`** — one row per video: `video_id`, `video_url` (direct HTTPS download, CDN-backed), `subtitle_url`, `youtube_url`, `size_bytes`
- The 15,941 MP4s (391.3 GB) and 1,550 subtitle files are hosted on Hugging Face storage and served via the `video_url` column
- **`captions.parquet`** — 23,064 academic annotations (source: `annotations.csv`)

## Quick start

```python
from datasets import load_dataset

ds = load_dataset("TornadoLabs/activitynet", split="train")
print(ds[0])

# download one video
import requests
r = requests.get(ds[0]["video_url"])
open(f"{ds[0]['video_id']}.mp4", "wb").write(r.content)
```

## How this dataset was built

Every video was fetched through the [Tornado API](https://tornadoapi.io?ref=hf-activitynet-how) bulk
pipeline and delivered straight into Hugging Face storage via its S3-compatible
gateway — the exact workflow documented [here](https://docs.tornadoapi.io?ref=hf-activitynet-docs).

Of the original ID list, only videos still publicly available on YouTube are
included (dead/private videos are listed upstream and excluded here).

## Provenance & citation

- Original dataset: http://activity-net.org/
- Paper: Caba Heilbron et al., CVPR 2015 — ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding
- 19,994 vidéos, 200 classes d'activités, annotations temporelles segment-niveau.

The video files remain the property of their respective YouTube uploaders. The
annotations belong to the original dataset authors — cite their paper if you use
them. This re-hosting is provided for reproducible research; if you are a rights
holder and want content removed, open a discussion on this repo.

## Build your own video dataset

Need a custom corpus (different IDs, other platforms, higher volume)?
**[Tornado API](https://tornadoapi.io?ref=hf-activitynet-cta)** downloads YouTube at scale — bulk
endpoints, S3/R2/HF delivery, subtitles and metadata included.