AILab-CVC/SEED-Data-Edit-Part2-3
SEED-Data-Edit SEED-Data-Edit is a hybrid dataset for instruction-guided image editing with a total of 3.7 image editing pairs, which comprises three distinct types of data: Part-1: Large-scale high-quality editing data produced by automated pipelines (3.5M editing pairs). Part-2: Real-world scenario data collected from the internet (52K editing pairs). Part-3: High-precision multi-turn editing data annotated by humans (95K editing pairs, 21K multi-turn rounds with a maximum… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Data-Edit-Part2-3.
| Author / organization | AILab-CVC |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 12 |
| Created | 27 April 2024 |
| Last updated at source | 5 May 2024 |
Popularity, last 2 days
1,164 now (-35 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: SEED-Data-Edit SEED-Data-Edit is a hybrid dataset for instruction-guided image editing with a total of 3.7 image editing pairs, which comprises three distinct types of data: Part-1: Large-scale high-quality editing data produced by automate → SEED-Data-Edit SEED-Data-Edit is a hybrid dataset for instruction-guided image editing with a total of 3.7 image editing pairs, which comprises three distinct types of data: Part-1: Large-scale high-quality editing data produced by automate
Changes detected by Silytics between refreshes of the source.
More from AILab-CVC
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.