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Datasets:
vanzl
/
DiffusionART-Prompts

Tasks:
Text-to-Image
Text-to-Video
Image-to-Video
Modalities:
Text
Formats:
json
Size:
100K - 1M
ArXiv:
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DiffusionART-Prompts / README.md
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Publish pinned DiffusionART benchmark prompts
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metadata 
license: other
license_name: upstream-per-subset
license_link: https://huggingface.co/datasets/vanzl/DiffusionART-Prompts#sources-and-terms
task_categories:
  - text-to-image
  - text-to-video
  - image-to-video
configs:
  - config_name: pickscore
    data_files:
      - split: train
        path: pickscore/train.jsonl
      - split: validation
        path: pickscore/validation.jsonl
  - config_name: t2v
    data_files:
      - split: train
        path: t2v/train.jsonl
      - split: validation
        path: t2v/validation.jsonl
  - config_name: t2v1000
    data_files:
      - split: validation
        path: t2v1000/validation.jsonl
  - config_name: i2v
    data_files:
      - split: train
        path: i2v/train.jsonl
  - config_name: geneval
    data_files:
      - split: train
        path: geneval/train.jsonl
      - split: validation
        path: geneval/validation.jsonl
  - config_name: ocr
    data_files:
      - split: train
        path: ocr/train.jsonl
      - split: validation
        path: ocr/validation.jsonl

DiffusionART Prompts

Public prompt files used by the DiffusionART training infrastructure. Download from this dataset; no upstream GitHub data download is needed at training time.

The converted JSONL files preserve source order and text. GenEval also preserves the complete per-prompt scoring annotations. Existing PickScore/video manifests match the previously pinned SHA256 values. GenEval/OCR are the named public Flow-GRPO splits, not certified byte-identical copies of private historical runs.

Configuration Content
pickscore Flow-GRPO train/test prompts
geneval Flow-GRPO GenEval train/test prompts and annotations
ocr Flow-GRPO OCR train/test prompts
t2v DanceGRPO 50,000 training prompts and frozen VidProM validation100
t2v1000 Frozen VidProM validation1000, with validation100 as its prefix
i2v DanceGRPO ConsisID 27,815 training prompts

For I2V evaluation, use the t2v validation prompts. No reference images are included. On-demand FLUX reference generation is a new evaluation protocol, not a reconstruction of the original fixed JPEGs. All methods in a comparison must share the reference images and evaluation settings.

Usage 

from datasets import load_dataset
data = load_dataset("vanzl/DiffusionART-Prompts", "t2v", split="validation")

Training recipes pin an immutable dataset revision. sources/ retains the unchanged upstream inputs for deterministic conversion; provenance.json records source URLs, hashes, row counts and converted-file hashes.

Sources and Terms

Upstream notices are retained in attribution/. This collection does not relicense third-party data under the code repository's license. Respect each source's terms, including VidProM's noncommercial restriction. FLUX-generated images, when generated separately, are subject to the generator's output terms.

Paper: https://arxiv.org/abs/2610.12572 Code: https://github.com/vanzll/DiffusionART