| --- |
| license: mit |
| task_categories: |
| - text-to-image |
| language: |
| - en |
| tags: |
| - t2i |
| - cleaned |
| configs: |
| - config_name: full |
| data_files: "full.parquet" |
| default: true |
| - config_name: lite |
| data_files: "lite.parquet" |
| --- |
| |
| | Files | Purpose | |
| |--------------|-----------------------------------------| |
| | full.parquet | Full version (recommended for training) | |
| | lite.parquet | A mini version of the full dataset | |
|
|
| Differences compared to other datasets: |
| - Other datasets are often not well-suited for text-to-image tasks. |
| - Other datasets may be in different languages. |
| - Other datasets may contain grayscale images. |
| - Other datasets are often extremely large. |
| - Other datasets frequently lack clear previews. |
| - Other datasets may not use permissive licenses (such as the MIT license) or may be gated (restricted access). |
| - Other datasets are often AI-generated. |
|
|
| With this dataset: |
| - You can create your own small-scale text-to-image model. |
| - You have greater flexibility and freedom in how you use it. |
|
|
| ty! |
