Spaces:
Running
Running
|
Download README.md from SeerRay-Lab/OmniStepBench: direct link, hf CLI and curl.
- Browser
- Download file 967 Bytes
-
https://huggingface.co/spaces/SeerRay-Lab/OmniStepBench/resolve/main/README.md
- Command line
-
hf download hf://spaces/SeerRay-Lab/OmniStepBench/README.md
-
curl -L -o README.md https://huggingface.co/spaces/SeerRay-Lab/OmniStepBench/resolve/main/README.md
967 Bytes
| title: OmniStepBench | |
| emoji: π¦ | |
| colorFrom: red | |
| colorTo: blue | |
| sdk: static | |
| app_file: index.html | |
| pinned: true | |
| short_description: Deployment-Aware Agent Evaluation across Modalities | |
| tags: | |
| - benchmark | |
| - agents | |
| - openclaw | |
| - evaluation | |
| - leaderboard | |
| datasets: | |
| - SeerRay-Lab/OmniStepBench | |
| thumbnail: https://seerray-lab-omnistepbench.static.hf.space/assets/img/social-card.png | |
| # OmniStepBench: Deployment-Aware Agent Evaluation across Modalities and Task Complexity | |
| Project page for OmniStepBench (mirror of https://seerray-lab.github.io/OmniStepBench/). A benchmark for deployment-aware agent evaluation across modalities and task complexity. | |
| - π Homepage: https://seerray-lab.github.io/OmniStepBench/ | |
| - π Paper: [arXiv 2609.06059](https://arxiv.org/abs/2609.06059) | |
| - π» Code: [SeerRay-Lab/OmniStepBench](https://github.com/SeerRay-Lab/OmniStepBench) | |
| - π€ Dataset: [SeerRay-Lab/OmniStepBench](https://huggingface.co/datasets/SeerRay-Lab/OmniStepBench) | |