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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 .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:

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