| --- |
| pretty_name: Vieutopia T2A Privacy Train v1 |
| language: |
| - en |
| license: other |
| size_categories: |
| - 100K<n<1M |
| task_categories: |
| - text-to-image |
| task_ids: |
| - text-to-image-generation |
| annotations_creators: |
| - machine-generated |
| source_datasets: |
| - original |
| tags: |
| - text-to-image |
| - image-generation |
| - diffusion |
| - privacy-preserving |
| - synthetic |
| configs: |
| - config_name: samples |
| data_files: |
| - split: train |
| path: data/samples/train/*.parquet |
| - split: validation |
| path: data/samples/validation/*.parquet |
| - split: test |
| path: data/samples/test/*.parquet |
| - config_name: iterations |
| data_files: |
| - split: train |
| path: data/iterations/train/*.parquet |
| - split: validation |
| path: data/iterations/validation/*.parquet |
| - split: test |
| path: data/iterations/test/*.parquet |
| --- |
| |
| # Vieutopia T2A Privacy Train v1 |
|
|
| ## Dataset Summary |
| Privacy-safe text-to-image dataset repacked into Parquet shards with embedded image bytes. |
|
|
| - Scope: text-to-image outputs only |
| - Excluded: image-to-image pipelines (`pix2pix_*`, `pst_*`) |
| - Privacy: no raw task UUIDs, no user/device fields |
| - Storage format: parquet shards (`image` as binary bytes), no `image_path` dependency |
|
|
| ## Splits |
| ### samples |
| - train: 117572 |
| - validation: 6532 |
| - test: 6532 |
| - total: 130636 |
|
|
| ### iterations |
| - train: 477440 |
| - validation: 52256 |
| - test: 52256 |
| - total: 581952 |
|
|
| ## Schema |
| ### samples config fields |
| - `sample_id` (string) |
| - `task_id_hash` (string) |
| - `prompt` (string) |
| - `negative_prompt` (string) |
| - `width` (int32) |
| - `height` (int32) |
| - `has_iteration` (bool) |
| - `iteration_count` (int32) |
| - `file_sha256` (string) |
| - `split` (string) |
| - `created_date` (string) |
| - `image` (binary image bytes) |
|
|
| ### iterations config fields |
| - `sample_id` (string) |
| - `frame_idx` (int32) |
| - `split` (string) |
| - `image` (binary image bytes) |
|
|
| ## Loading Example |
| ```python |
| from datasets import load_dataset, Image |
| |
| samples = load_dataset("quchenyuan/text-to-art-database", "samples") |
| samples = samples.cast_column("image", Image()) |
| |
| iterations = load_dataset("quchenyuan/text-to-art-database", "iterations") |
| iterations = iterations.cast_column("image", Image()) |
| ``` |
|
|
