quchenyuan/text-to-art-database

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

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())