3,000 synthetically generated image-text pairs created using the Tongyi-MAI/Z-Image-Turbo (v1.0) model. Each entry consists of a high-resolution image and a corresponding text prompt file. The dataset was authored by lrzjason and last updated on Hugging Face in November 2025.
Use Cases
- Conducting model de-distillation research based on the synthetically generated image-text pairs.
- Training or fine-tuning diffusion models based on the high-resolution synthetic images.
- Benchmarking text-to-image generation models based on the provided prompt-image pairs.
- Studying the effects of knowledge distillation reversal based on the dataset's stated purpose.
Strengths
- Contains 3,000 entries, providing a substantial base for experimentation.
- Data is synthetically generated with a specific tool (Z-Image-Turbo v1.0), ensuring consistency.
- Designed for a clear, advanced research purpose: diffusion model de-distillation.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is known, but file formats, size, and license details are unknown.
Provenance
- Source
- Hugging Face dataset authored by lrzjason.
- Collection Method
- Synthetically generated using the Tongyi-MAI/Z-Image-Turbo (v1.0) model.
- Time Range
- null
- Freshness
- Last updated 2025-11-30 05:28:51; freshness should be verified.
- Geography
- null