---
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 `.jpg` image 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:

```json
{"file_name": "0001.jpg", "text": "A front-facing portrait of a man smiling with natural lighting"}