OS-Copilot/OS-Shepherd-100K

OSReward Data OSReward is a multimodal reward-model dataset for judging whether GUI-agent trajectories complete the user's task. The release contains: Supervised fine-tuning data in a LLaMAFactory-compatible ShareGPT layout. Deduplicated screenshots packaged in independently extractable tar shards. Training and validation data for GRPO. The expected answer contains a brief evidence-based analysis followed by a final line in exactly one of these forms: Judge: SUCCESS Judge:… See the full description on the dataset page: https://huggingface.co/datasets/OS-Copilot/OS-Shepherd-100K.

<iframe src="https://silytics.si/embed/item/9326d8c0-1fa6-4ce9-86fb-4ea60f8fa3a2" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

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 Information may be incomplete or out of date.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.