metadata
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.