Dataset · Hugging Face

HongbangYuan/OmniRewardBench

Name: OmniRewardBench
Creator: HongbangYuan
License: cc-by-nc-4.0
Keywords: task_categories:text-generation, task_categories:image-text-to-text, task_categories:video-text-to-text, task_categories:audio-text-to-text, task_categories:text-to-image, task_categories:text-to-video, task_categories:text-to-audio, task_categories:text-to-3d, task_categories:image-to-image, license:cc-by-nc-4.0, size_categories:1K<n<10K, format:parquet, modality:audio, modality:image, modality:text

Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences 📄 Paper | 💻 Code | 🤗 Benchmark (This Dataset) | 🤗 Training Data | 🤗 Model | 🏠 Homepage Reward models (RMs) play a critical role in aligning AI behaviors with human preferences, yet they face two fundamental challenges: (1) Modality Imbalance, where most RMs are mainly focused on text and image modalities, offering limited support for video, audio, and other modalities;… See the full description on the dataset page: https://huggingface.co/datasets/HongbangYuan/OmniRewardBench.

View on Hugging FaceReport an issue

Author / organization	HongbangYuan
License (as declared)	cc-by-nc-4.0
Downloads	254 (as reported by Hugging Face)
Likes	7
Created	13 March 2025
Last updated at source	29 October 2025

reward-modelingpreference-alignmentmultimodal

Embed this entry

<iframe src="https://silytics.si/embed/item/e9f34de8-1b73-40d5-ba0a-a05087f2d635" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

254 now (+7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

16 Oct 2026 Description: Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences 📄 Paper | 💻 Code | 🤗 Benchmark (This Dataset) | 🤗 Training Data | 🤗 Model | 🏠 Homepage Reward models (RMs) play a critical role in aligning AI behav → Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences 📄 Paper | 💻 Code | 🤗 Benchmark (This Dataset) | 🤗 Training Data | 🤗 Model | 🏠 Homepage Reward models (RMs) play a critical role in aligning AI behav

Changes detected by Silytics between refreshes of the source.

More from HongbangYuan

HongbangYuan/webshopDataset
HongbangYuan/sciworld_sft_warmupDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.