Zixchen/FineAudio-Judge-Benchmark

FineAudio-Judge Benchmark

FineAudio-Judge Benchmark evaluates instruction following in complex text-to-audio generation through rubric-level judgments and agreement with human preferences. It contains two evaluation components:

Component	Main content
Rubric-QA	700 prompt-audio samples, 33,498 rubric questions, and reference yes/no labels obtained by majority vote over five model annotations
Human Preference	100 prompts, each paired with three generated audio candidates (300 in total), together with prompt-derived rubrics and preference annotations from seven human annotators

All published audio is WAV. JSONL files use repository-relative audio paths. See the README in each component directory for field definitions, label provenance, subset names, consensus rules, and usage notes.

Dataset structure

The benchmark is organized into two components, each with its own data files, audio directory, and README.

.
├── README.md
├── rubric_qa/
│   ├── README.md
│   ├── rubric_qa.jsonl
│   ├── rubric_qa_grouped.jsonl
│   └── audio/
└── human_preference/
    ├── README.md
    ├── candidate_groups.jsonl
    ├── prompt_rubrics.jsonl
    ├── human_preference_pairwise.jsonl
    ├── human_preference_ranking.jsonl
    ├── human_preference_annotations.jsonl
    └── audio/

See the Rubric-QA README and Human Preference README for file descriptions and evaluation details.

Quick start

Install the download client:

pip install huggingface_hub

Download the full benchmark:

from huggingface_hub import snapshot_download

dataset_root = snapshot_download(
    repo_id="Zixchen/FineAudio-Judge-Benchmark",
    repo_type="dataset",
)

print(dataset_root)

The downloaded repository contains both the JSONL records and the referenced WAV files. Audio paths in the JSONL records are relative to dataset_root.

License / 数据许可声明

本数据集以下文件夹内的数据采用 CC BY-NC 4.0 许可发布。

The data in the following folders is released under the CC BY-NC 4.0 license.

• rubric_qa/audio/a2/
• rubric_qa/audio/a3/
• rubric_qa/audio/cross_a1/
• rubric_qa/audio/cross_a2/
• rubric_qa/audio/qwen_audio_ood/
• rubric_qa/audio/seedaudio_ood/
• human_preference/audio/

本数据集 rubric_qa/audio/a1/ 文件夹内的数据筛选自开源的 FineVideo 数据集，使用时请参阅并遵守 FineVideo 的 Terms of Use。

The data in the rubric_qa/audio/a1/ folder is derived from a filtered subset of the FineVideo dataset; please refer to and comply with the Terms of Use of FineVideo when using it.

本项目新增的评测问题及标注采用 CC BY-NC 4.0 许可发布。 该许可仅适用于本项目拥有或有权授予许可的部分， 不替代第三方素材及相关模型或服务的适用许可和使用条款。

Project-created evaluation questions and annotations are released under CC BY-NC 4.0. This license applies only to rights held or licensable by this project and does not replace the applicable licenses and terms of third-party materials or the relevant models and services.

Disclaimer / 免责声明

部分数据来源于第三方开源数据集，不代表本项目的立场或观点。 您对相关内容的复制、使用与分发须严格遵循开源数据集的许可条件， 不得超出许可范围，并遵守适用的法律法规，自行承担相应责任。

Some data is sourced from third-party open-source datasets and does not represent the views or opinions of this project. Your copying, use, and distribution of such content must strictly comply with the license terms of the source datasets and must not exceed the scope of those licenses. You are also responsible for complying with all applicable laws and regulations, and you assume the associated risks and liabilities.