Upload parquet shard asset: README.md

README.md

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+---
+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())
+```