UCSC-VLAA/HQ-Edit
General NLPEN
UCSC-VLAA/HQ-Edit is a General NLP dataset in EN from UCSC-VLAA in Parquet format.
About UCSC-VLAA/HQ-Edit
Dataset Card for HQ-EDIT
HQ-Edit, a high-quality instruction-based image editing dataset with total 197,350 edits. Unlike prior approaches relying on attribute guidance or human feedback on building datasets, we devise a scalable data collect...
Details
- Task
- General NLP
- Language
- EN
- Format
- Parquet
- Rows / instances
- N/A
- Creator
- UCSC-VLAA
- Year
- 2024