X2Edit: Image Editing Dataset for 14 Diverse Tasks

The X2Edit Dataset is an image editing collection covering 14 diverse tasks, developed by OPPOer and hosted on Hugging Face. It was last updated on December 30, 2025. The dataset description claims it exhibits advantages over several existing open-source image editing datasets.

Use Cases

• Training generative models for image editing based on the 14 diverse tasks mentioned.
• Benchmarking image editing models against other datasets like AnyEdit or HQ-Edit.
• Developing multimodal AI systems that combine image and text instructions for editing.

Strengths

• Covers 14 diverse image editing tasks, as stated in the description.
• Claims advantages over several named existing datasets (AnyEdit, HQ-Edit, UltraEdit, SEED-Data-Edit, ImgEdit, OmniEdit).
• Last updated on 2025-12-30, suggesting recent maintenance.

Limitations

• Row count, file formats, and column-level documentation are unknown, which limits suitability assessment.
• License information is not provided, which is a critical factor for use.
• The full dataset description is hosted externally, requiring a click-through for complete details.

Provenance

Source

OPPOer on Hugging Face.

Collection Method

Construction scripts are referenced but not detailed; likely involves synthetic generation or collection.

Time Range

Dataset creation and updates occurred around 2025.

Freshness

Last updated 2025-12-30 03:49:48.

Geography

Geographic coverage is not specified.