Datasets:

quchenyuan
/

text-to-art-database

sample_id string	frame_idx int32	split string	image unknown
d40a59fffed7ff38dc8480b00c1e209b	0	train	[ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 8, 6, 6, 7, 6, 5, 8, 7, 7, 7, 9, 9, 8, 10, 12, 20, 13, 12, 11, 11, 12, 25, 18, 19, 15, 20, 29, 26, 31, 30, 29, ...
d40a59fffed7ff38dc8480b00c1e209b	1	train	"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
d40a59fffed7ff38dc8480b00c1e209b	2	train	"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
d40a59fffed7ff38dc8480b00c1e209b	3	train	"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
d40a59fffed7ff38dc8480b00c1e209b	4	train	"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
d40a59fffed7ff38dc8480b00c1e209b	5	train	"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
d40a59fffed7ff38dc8480b00c1e209b	6	train	"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
d40a59fffed7ff38dc8480b00c1e209b	7	train	"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
38828021cbf23e79fadc105e3a1f8b89	0	train	"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
38828021cbf23e79fadc105e3a1f8b89	1	train	"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)

End of preview. Expand in Data Studio

YAML Metadata Warning:The task_ids "text-to-image-generation" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation

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())

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