metadata
annotations_creators:
- manually-created
language:
- en
license: apache-2.0
multilinguality: monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- image-classification
- text-to-image
pretty_name: My Face Dataset
dataset_info:
features: []
splits:
- name: train
num_bytes: 0
num_examples: 0
download_size: 324
dataset_size: 0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
My Face Dataset
This dataset contains a collection of face images with corresponding text descriptions (prompts). It is designed for applications such as:
- Fine-tuning diffusion models (e.g., Stable Diffusion, LoRA)
- Face recognition
- Text-to-image generation
🧾 Dataset Structure
train/— folder containing all the.jpgimage files.metadata.jsonl— a JSON Lines file where each line is a JSON object with the following fields:file_name: name of the image file.text: a description (prompt) of the image.
Example entry:
{"file_name": "0001.jpg", "text": "A front-facing portrait of a man smiling with natural lighting"}