---
pretty_name: RareFace-50
license: cc-by-nc-4.0
tags:
  - faces
  - personalization
  - avatars
  - talking-head
  - youtube
---
# RareFace-50 (from Low-Rank Head Avatar Personalization with Registers)

Dataset for [Low-Rank Head Avatar Personalization with Registers](https://openreview.net/pdf?id=mhARf5VzCn). Also available on [arxiv](https://arxiv.org/abs/2506.01935). 

[Project Page](https://starc52.github.io/publications/2025-05-28-LoRAvatar/) 
## Dataset Summary

RareFace-50 is a curated collection of **challenging human faces** intended for evaluating personalization of talking-head and avatar generation methods.

Unlike many existing face video datasets that focus primarily on celebrities and well-known public figures (e.g., television personalities), RareFace-50 deliberately targets **underrepresented facial appearances**, with an emphasis on:

- **Distinctive facial details** (e.g., pronounced wrinkles, unique tattoos, scars, or other high-frequency details),
- **Wide variation in age and appearance**,
- **High-resolution, close-up footage**.

The dataset is constructed from **50 identities**, each with **2 short clips**, for a total of **100 clips**. Source videos are high-resolution interview-style recordings (1080p, 2K, and 4K) collected from YouTube public broadcasts. The average duration of each clip is around **15 seconds**.

> **Important:**  
> This repository contains **only metadata** about the clips (YouTube links and temporal trim information) in a CSV file.  

---


## Dataset Structure

### Files

The dataset is provided as a **single CSV file** in this repository (`RareFace50.csv`).

Each row corresponds to a **two clip** and includes:

- A YouTube link for the source video.
- Two start times and end times defining the clips within that video.

> **Timestamp format:** All temporal fields are stored as strings in `h:mm:ss` format  
> (e.g., `0:00:13`, `0:01:05`, `1:23:45`).

### Schema

- `youtube_url` (string)  
  Full YouTube URL for the source video.

- `start_time` (string)  
  Clip start time in `h:mm:ss`.

- `end_time` (string)  
  Clip end time in `h:mm:ss`.

---

## How to Use

### Loading the CSV

You can access the CSV directly using Python’s standard tools or `datasets`:

```python
from datasets import load_dataset

ds = load_dataset("StonyBrook-CVLab/RareFace-50")
print(ds["train"][0])
```

If you use this dataset, please be so kind to cite us:

```
@inproceedings{
chakkera2025lowrank,
title={Low-Rank Head Avatar Personalization with Registers},
author={Sai Tanmay Reddy Chakkera and Aggelina Chatziagapi and Md Moniruzzaman and Chen-ping Yu and Yi-Hsuan Tsai and Dimitris Samaras},
booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems},
year={2025},
url={(https://openreview.net/pdf?id=mhARf5VzCn)}
}
```