datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Image-Gen-or-Image-Editing
Image Gen or Image Editing
This dataset is designed for text classification of prompts provided by users. It determines whether a prompt is intended for image generation or image editing.
gene_editing
Gene Editing Dataset
This dataset is part of the Deep Principle Bench collection.
Files
gene_editing.csv: Main dataset file
Usage
import pandas as pd
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("yhqu/gene_editing")
# Or load directly as pandas DataFrame
df = pd.read_csv("hf://datasets/yhqu/gene_editing/gene_editing.csv")
Citation
Please cite this work if you use this dataset in your research.
image-editing-model-notes
Image Editing Model Notes
Working notes on image-generation and prompt-based editing models.
I’m mainly interested in what happens after the first good-looking image:
whether the model follows small editing instructions
whether faces and expressions remain consistent
whether untouched objects quietly change
how well models handle text replacement
whether exact object counts are respected
how lighting edits affect skin and image texture
A visually strong result is not always a… See the full description on the dataset page: https://huggingface.co/datasets/drifterAI3000/image-editing-model-notes.