Improve dataset card: add links, citation, and license
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by nielsr HF Staff - opened
README.md
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---
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task_categories:
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- image-to-image
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- text-to-image
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tags:
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- benchmark
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- style-transfer
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# FreeStyle Bench
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It includes two benchmark subsets:
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prompts.json
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##
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`sref_bench`
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For each benchmark pair:
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- `sref_bench/cref/` contains the content reference image.
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- `sref_bench/sref/` contains the style reference image.
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- `sref_bench/prompts.json` contains the text prompt or instruction for the pair.
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example_pair
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```
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```text
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sref_bench/cref/example_pair.*
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sref_bench/sref/example_pair.*
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```
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where the image extension may depend on the actual uploaded files.
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## `cref_sref_bench`
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`cref_sref_bench` is the content-and-style dual-reference benchmark.
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It has the same structure as `sref_bench`:
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- `cref_sref_bench/cref/` contains the content reference image.
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- `cref_sref_bench/sref/` contains the style reference image.
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- `cref_sref_bench/prompts.json` contains the text prompt or instruction for the pair.
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Again, each key in `prompts.json` is a pair basename and can be used to align the content reference image in `cref/` with the style reference image in `sref/`.
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## How To Read A Pair
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```python
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import json
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- `sref` means style reference.
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- `prompts.json` is the index file for each subset.
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- The key of each `prompts.json` entry is the pair basename used to match images in `cref/` and `sref/`.
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---
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language:
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- en
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license: cc-by-nc-4.0
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task_categories:
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- image-to-image
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- text-to-image
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pretty_name: FreeStyle Bench
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tags:
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- benchmark
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- style-transfer
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# FreeStyle Bench
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[Paper](https://huggingface.co/papers/2606.20506) | [Code](https://github.com/Blue2Giant/FreeStyle) | [Project Page](https://blue2giant.github.io/FreeStyle/)
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This repository contains benchmark inputs for evaluating **FreeStyle**, a framework for style-content dual-reference generation.
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It includes two benchmark subsets:
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prompts.json
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```
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## Subset Details
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### `sref_bench`
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`sref_bench` is the style-transfer benchmark. For each benchmark pair:
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- `sref_bench/cref/` contains the content reference image.
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- `sref_bench/sref/` contains the style reference image.
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- `sref_bench/prompts.json` contains the text prompt or instruction for the pair.
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### `cref_sref_bench`
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`cref_sref_bench` is the content-and-style dual-reference benchmark. It has the same structure as `sref_bench`, where each key in `prompts.json` is a pair basename used to align the content reference image with the style reference image.
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## Sample Usage
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You can use the following code to read a benchmark pair and its associated metadata:
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```python
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import json
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- `sref` means style reference.
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- `prompts.json` is the index file for each subset.
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- The key of each `prompts.json` entry is the pair basename used to match images in `cref/` and `sref/`.
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## Citation
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```bibtex
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@article{lan2026freestyle,
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title = {FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining},
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author = {Lan, Jinghong and Cheng, Wei and Chen, Yunuo and Ye, Ziqi and Xing, Peng and Fang, Yixiao and Wang, Rui and Yang, Yufeng and Zhang, Xuanyang and Zou, Difan and Zeng, Xianfang and Yu, Gang and Zhang, Chi},
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journal = {arXiv preprint arXiv:2606.20506},
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year = {2026}
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}
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```
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