| --- |
| configs: |
| - config_name: Gemini-IG-easy |
| data_files: |
| - split: test |
| path: VLM_Dataset/Gemini-IG/easy/Gemini-IG_easy_test_conversation.json |
| - split: train |
| path: VLM_Dataset/Gemini-IG/easy/Gemini-IG_easy_train_conversation.json |
| - config_name: Gemini-IG-hard |
| data_files: |
| - split: test |
| path: VLM_Dataset/Gemini-IG/hard/Gemini-IG_hard_test_conversation.json |
| - split: train |
| path: VLM_Dataset/Gemini-IG/hard/Gemini-IG_hard_train_conversation.json |
| - config_name: GoT-easy |
| data_files: |
| - split: test |
| path: VLM_Dataset/GoT/easy/GoT_easy_test_conversation.json |
| - split: train |
| path: VLM_Dataset/GoT/easy/GoT_easy_train_conversation.json |
| - config_name: GoT-hard |
| data_files: |
| - split: test |
| path: VLM_Dataset/GoT/hard/GoT_hard_test_conversation.json |
| - split: train |
| path: VLM_Dataset/GoT/hard/GoT_hard_train_conversation.json |
| - config_name: MagicBrush-easy |
| data_files: |
| - split: test |
| path: VLM_Dataset/MagicBrush/easy/MagicBrush_easy_test_conversation.json |
| - split: train |
| path: VLM_Dataset/MagicBrush/easy/MagicBrush_easy_train_conversation.json |
| - config_name: MagicBrush-hard |
| data_files: |
| - split: test |
| path: VLM_Dataset/MagicBrush/hard/MagicBrush_hard_test_conversation.json |
| - split: train |
| path: VLM_Dataset/MagicBrush/hard/MagicBrush_hard_train_conversation.json |
| - config_name: UltraEdit-easy |
| data_files: |
| - split: test |
| path: VLM_Dataset/UltraEdit/easy/UltraEdit_easy_test_conversation.json |
| - split: train |
| path: VLM_Dataset/UltraEdit/easy/UltraEdit_easy_train_conversation.json |
| - config_name: UltraEdit-hard |
| data_files: |
| - split: test |
| path: VLM_Dataset/UltraEdit/hard/UltraEdit_hard_test_conversation.json |
| - split: train |
| path: VLM_Dataset/UltraEdit/hard/UltraEdit_hard_train_conversation.json |
|
|
| license: apache-2.0 |
| task_categories: |
| - visual-question-answering |
| language: |
| - en |
| tags: |
| - Edited Image Detection |
| - VLM |
| pretty_name: FragFake |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # FragFake: VLM-Based Edited-Image Detection Dataset |
|
|
| This repository contains four groups of examples—**Gemini-IG**, **GoT**, **MagicBrush**, and **UltraEdit**—each with two difficulty levels: **easy** and **hard**. The YAML front matter above tells the HF Dataset Viewer to expose eight configurations in the “Configurations” dropdown. Once you select a configuration, you’ll see its single `instruction` split. |
|
|
| ## Sampling Policy for Edited Images |
|
|
| To prevent potential privacy or content leakage, only one edited version is retained per original image: |
|
|
| - In the source data, some original images have two edited versions (e.g., object addition and object replacement). |
| |
| - We randomly select and retain only one of them in the test set. The other version and its corresponding conversation are discarded (not include in the train set). |
|
|
| - As a result, the each hard versions may contain slightly fewer edited-image conversations, because not every original image has two valid modifications in hard version instructions. |
|
|
| ## Usage Example |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load the UltraEdit-hard configuration |
| ds = load_dataset( |
| "Vincent-HKUSTGZ/FragFake", |
| name="UltraEdit-hard" |
| ) |
| |
| # Inspect the first record |
| print(ds[0]) |
