---
pretty_name: EvenFlow Benchmark
license: other

task_categories:
- robotics
- computer-vision

task_ids:
- trajectory-prediction
- motion-planning

tags:
- navigation
- human-robot-interaction
- trajectory-data
- multi-agent
- benchmarking

annotations_creators:
- no-annotation

source_datasets:
- original

language:
- en

size_categories:
- 1K<n<10K
---

# EvenFlow Benchmark Dataset

EvenFlow is a shared-space navigation evaluation suite built from real-world human trajectory data.

Most benchmarks evaluate whether an agent can navigate *around* people.  
EvenFlow evaluates whether an agent can navigate *with* them.

This repository contains the benchmark data used to construct executable navigation tasks:
- layouts
- scenes
- tasks
- human trajectory tracks

Code and evaluation tools are available at:
https://github.com/standard-ai/evenflow-benchmark

---

## Dataset Structure

```
benchmark/
  layouts/
  aligned_flow/
  cross_flow/
  interaction_constrained/
```

---

## Responsible AI Considerations

### Data Collection
Data was collected in real-world environments using overhead camera systems.  
Only anonymized trajectory data is released.

### Privacy
No raw video, biometric identifiers, or personally identifiable information are included.

### Intended Use
This dataset is intended for research on:
- navigation in human environments
- multi-agent coordination
- trajectory-based evaluation

### Limitations
- Single-site data collection
- No demographic attributes
- Offline evaluation setting

---

## License

This dataset is released under a custom license.

- Free for research and non-commercial use  
- Commercial use requires a separate agreement  

See LICENSE for details.