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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.
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