| --- |
| 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 |
|
|
| ```python |
| 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 |
|
|
| - Flow-GRPO: https://github.com/yifan123/flow_grpo/tree/879042cf5707f8b90daa98d147d7deac2317c5da/dataset |
| - DanceGRPO: https://github.com/XueZeyue/DanceGRPO/tree/15cc71d53cc2e6e18a68ee607d5fb6ba9a99e344/assets |
| - VidProM: https://huggingface.co/datasets/WenhaoWang/VidProM (CC-BY-NC-4.0). |
| - ConsisID source: https://huggingface.co/datasets/BestWishYsh/ConsisID-preview-Data. |
| |
| 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 |
| |
