Datasets:
metadata
license: cc-by-nc-4.0
pretty_name: Lip Biting
task_categories:
- text-to-image
tags:
- lora
- lora-training
- image
- portrait
- facial-expression
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train/*
Lip Biting
104 portrait images for training a LoRA on a lip-biting expression.
Trigger word: lpb1te.
This is the training set exactly as it was used, published to get feedback on curating it.
Contents
| Images | 104 (102 PNG, 2 JPEG) |
| Typical size | 1024×1536 portrait (87 of the images). 12 are 1024×1024; the other 5 range from 3:2 landscape to 4:5 portrait. |
| Subjects | Women, head and shoulders, clothed, biting or pressing the lower lip, often smiling |
| Captions | None yet |
| Metadata | Stripped (EXIF removed from the two JPEGs; the PNGs carried none) |
Usage
from datasets import load_dataset
ds = load_dataset("abide1622/lip-biting", split="train") # one "image" column
To train, caption each image (a short description, plus lpb1te where the
expression should be learned) as same-named .txt files, or as a
metadata.jsonl with file_name and text columns in data/train/.
Known limitations
- No captions. Every image teaches the trigger word the whole picture (face, hair, lighting), not just the expression.
- Narrow subject range. All the subjects are young women, the framing is similar throughout, and many share a warm studio look. A LoRA trained on this set will carry that bias.
- Near-duplicates. Several images show the same subject and pose with small variations.
Feedback
Suggestions on what to remove, add or caption are welcome. Please open a discussion.