datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ahsanneural_drone-swarm-coordination-dataset
Drone Swarm Coordination
Simulated multi-drone swarm flight paths with communication and collision log
Dataset Info
Source: Kaggle
Original Size: 1.11 MB
Kaggle Downloads: 47
Files: 1
Files
synthetic_drone_swarm_dataset.csv
Mirrored from Kaggle
robotics-multi-agent-coordination-coherence-risk-v0.1What this repo is for
You use it to detect when robot fleets stop coordinating properly.
It captures real deployment failure signals:
shared map divergence
task allocation conflicts
comms latency desync
deadlocks in corridors
swarm formation collapse
Applies to:
warehouse robot fleets
hospital delivery robots
drone swarms
factory material handling
Prompt format
Return exactly one token
coherent or incoherent
atc-handoff-coordination-coherence-risk-v0.1What this repo is for
Detect when inter-sector coordination starts to fail.
Signals:
late handoffs
readback errors
coordination call load
boundary conflicts
rising delays
This flags brittleness before incidents.
ai-temporal-5node-pressure-buf-lag-cpl-multiagent-coordination-v0.1
What this repo does
This dataset tests whether a model can detect a multi-agent coordination cascade forming over time by reading a short ordered window of signals and predicting whether coordination lock-in occurs by the final step.
Core quad
pressurebufferlagcoupling
Prediction target
label_cascade_state
Row structure
One row represents one short time window (t0 to t3) for a multi-agent system under coordination stress. It includes time-series… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-temporal-5node-pressure-buf-lag-cpl-multiagent-coordination-v0.1.