IPEC-COMMUNITY/EO-Bench
EO-Bench: Embodied Reasoning Benchmark for Vision-Language Models Overview EO-Bench is a comprehensive benchmark designed to evaluate the embodied reasoning capabilities of vision-language models (VLMs) in robotics scenarios. This benchmark is part of the EO-1 project, which develops unified embodied foundation models for general robot control. The benchmark assesses model performance across 12 distinct embodied reasoning categories, covering… See the full description on the dataset page: https://huggingface.co/datasets/IPEC-COMMUNITY/EO-Bench.
| Author / organization | IPEC-COMMUNITY |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 254 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 7 December 2025 |
| Last updated at source | 7 December 2025 |
Recent changes
- 16 Oct 2026 Description: EO-Bench: Embodied Reasoning Benchmark for Vision-Language Models Overview EO-Bench is a comprehensive benchmark designed to evaluate the embodied reasoning capabilities of vision-language models (VLMs) in robotics scenarios. This benchmark → EO-Bench: Embodied Reasoning Benchmark for Vision-Language Models Overview EO-Bench is a comprehensive benchmark designed to evaluate the embodied reasoning capabilities of vision-language models (VLMs) in robotics scenarios. This benchmark
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