---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: 5_o_Clock_Shadow
    dtype: int64
  - name: Arched_Eyebrows
    dtype: int64
  - name: Bags_Under_Eyes
    dtype: int64
  - name: Bald
    dtype: int64
  - name: Bangs
    dtype: int64
  - name: Big_Lips
    dtype: int64
  - name: Big_Nose
    dtype: int64
  - name: Black_Hair
    dtype: int64
  - name: Blond_Hair
    dtype: int64
  - name: Blurry
    dtype: int64
  - name: Brown_Hair
    dtype: int64
  - name: Bushy_Eyebrows
    dtype: int64
  - name: Chubby
    dtype: int64
  - name: Double_Chin
    dtype: int64
  - name: Eyeglasses
    dtype: int64
  - name: Goatee
    dtype: int64
  - name: Gray_Hair
    dtype: int64
  - name: Heavy_Makeup
    dtype: int64
  - name: High_Cheekbones
    dtype: int64
  - name: Male
    dtype: int64
  - name: Mouth_Slightly_Open
    dtype: int64
  - name: Mustache
    dtype: int64
  - name: Narrow_Eyes
    dtype: int64
  - name: No_Beard
    dtype: int64
  - name: Oval_Face
    dtype: int64
  - name: Pale_Skin
    dtype: int64
  - name: Pointy_Nose
    dtype: int64
  - name: Receding_Hairline
    dtype: int64
  - name: Rosy_Cheeks
    dtype: int64
  - name: Sideburns
    dtype: int64
  - name: Smiling
    dtype: int64
  - name: Straight_Hair
    dtype: int64
  - name: Wavy_Hair
    dtype: int64
  - name: Wearing_Earrings
    dtype: int64
  - name: Wearing_Hat
    dtype: int64
  - name: Wearing_Lipstick
    dtype: int64
  - name: Wearing_Necklace
    dtype: int64
  - name: Wearing_Necktie
    dtype: int64
  - name: Young
    dtype: int64
  - name: image_hash
    dtype: string
  - name: Attractive
    dtype: int64
  - name: reviewed
    dtype: bool
  splits:
  - name: train
    num_bytes: 879662473.28
    num_examples: 117544
  download_size: 839788664
  dataset_size: 879662473.28
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# CelebA Female Dataset

## Dataset Description

This dataset is a filtered subset of the [CelebA dataset](https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html) (Celebrities Faces Attributes), containing only female faces. The original CelebA dataset is a large-scale face attributes dataset with more than 200,000 celebrity images, each with 40 attribute annotations.

### Dataset Creation

This dataset was created by:
1. Loading the original CelebA dataset
2. Filtering to keep only images labeled as female (based on the "Male" attribute)
3. Deduplicating the dataset to remove any potential duplicate images

## Intended Uses & Limitations

This dataset is intended for:
- Facial analysis research focusing on female subjects
- Training or fine-tuning image models that need to work specifically with female faces
- Studying facial attributes in a gender-specific context

**Limitations:**
- The dataset is limited to faces labeled as female in the original CelebA dataset
- Any biases present in the original CelebA dataset may persist in this filtered version
- The gender labels come from the original dataset and may not reflect self-identification

## Dataset Structure

The dataset preserves the original structure of CelebA, including:
- Image data
- All 40 original attribute annotations
- File paths and identifiers

## Citation

If you use this dataset, please cite both the original CelebA dataset and this filtered version:

@inproceedings{liu2015faceattributes,
title = {Deep Learning Face Attributes in the Wild},
author = {Liu, Ziwei and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
booktitle = {Proceedings of International Conference on Computer Vision (ICCV)},
month = {December},
year = {2015}
}

## Ethical Considerations

This gender-filtered dataset should be used with awareness of potential ethical implications:
- Be mindful of reinforcing gender stereotypes or biases
- Consider the impacts of technology built using gender-specific datasets
- Respect privacy and consent considerations relevant to facial images