datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
minuszero-indian-autonomous-driving-dataset
Minus Zero Indian Urban Autonomous Driving Dataset
Overview
This dataset provides original multicamera autonomous-driving recordings in MCAP format. It is designed for non-commercial research on surround-view perception, temporal and cross-camera synchronization, H.265 video pipelines, localization, GNSS/pose integration, and robotics data tooling.
Recordings include camera and GNSS/pose streams, with machine-state telemetry present in a small subset. Camera… See the full description on the dataset page: https://huggingface.co/datasets/gagandeepreehal/minuszero-indian-autonomous-driving-dataset.v2v-autonomous-driving-qa
V2V & Autonomous Driving QA Dataset
This dataset contains processed research papers focused on V2V communication, autonomous driving, sensor fusion, ADAS, and related fields.It provides structured text sections and automatically generated question–answer (QA) pairs, making it useful for fine-tuning language models, evaluation, or RAG pipelines.
📊 Dataset Summary
~22,457 papers processed
Sections extracted: abstract, introduction, conclusion
55k+ QA pairs… See the full description on the dataset page: https://huggingface.co/datasets/BuRabea/v2v-autonomous-driving-qa.hermes-autonomous-agent
Agent Core Final Clean
Dataset for autonomous coding agents.
Composition
SWE debugging
Repository reasoning
Tool usage
Multi-turn trajectories
Total samples: 205,499
minuszero-indian-autonomous-driving-monocam
Minus Zero Indian Urban Autonomous Driving Dataset - Single Camera
Overview
This dataset provides original single-camera autonomous driving recordings in MCAP format. It is designed for research on camera perception, H.265 video pipelines, localization, GNSS/pose integration, and robotics data tooling.
Depending on the recording, supporting channels include recorded or live GNSS/pose.
The dataset is public for personal, educational, and research use under CC BY-NC… See the full description on the dataset page: https://huggingface.co/datasets/gagandeepreehal/minuszero-indian-autonomous-driving-monocam.groundtruthminuszero-indian-autonomous-driving-multicam-lidar
Minus Zero Indian Urban Autonomous Driving Dataset - Multicamera LiDAR
Overview
This dataset provides original multicamera autonomous-driving recordings with LiDAR in MCAP format. It is designed for non-commercial research on camera and LiDAR perception, sensor synchronization, H.265 video pipelines, localization, GNSS/pose integration, and robotics data tooling.
The dataset is public for personal, educational, and research use under CC BY-NC 4.0. Commercial use… See the full description on the dataset page: https://huggingface.co/datasets/gagandeepreehal/minuszero-indian-autonomous-driving-multicam-lidar.autonomous-ai-infrastructure-dataset
Phase 5.2 Canonical Dataset — Release Package
3,106 records (3,060 agent-task + 46 controlled-runtime episodes)
supporting the paired Phase 5.3/5.4 benchmark. See DATASET_CARD.md for
the full description, limitations, and publication boundary.
Contents
data/
all_records.jsonl the dataset itself, one JSON record per line
dataset_statistics.json breakdowns by track/split/failure-class/etc.
split_audit.json split-integrity audit (overlap counts… See the full description on the dataset page: https://huggingface.co/datasets/naishashetty/autonomous-ai-infrastructure-dataset.autonomous-revenue-ops
Autonomous Revenue Ops — Evaluation Dataset
Synthetic regression cases for validating deterministic revenue-operations policy behavior.
Dataset purpose
The dataset checks that structured qualification outputs map to the expected authorized workflow state. It is designed for regression testing, not for training a foundation model.
Covered behaviors
high-score, high-confidence autonomous routing
medium-score human review
low-confidence evidence… See the full description on the dataset page: https://huggingface.co/datasets/h0000w/autonomous-revenue-ops.han-autonomous-behavioral-adaptation-dataset-v1
Humanoid Autonomous Behavioral Adaptation Dataset
This dataset models adaptive behavior shifts
of humanoid agents responding to environmental changes.
It records baseline behavior, trigger events,
adaptation strategies, and outcome performance.
Objective
To enable continuous behavioral learning
and adaptive optimization in dynamic conditions.
Data Fields
adaptation_event_id
agent_id
mission_id
baseline_behavior_profile
environmental_change_type… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-behavioral-adaptation-dataset-v1.autonomous-agent
Autonomous Agent Agent Meta and Traffic Dataset in AI Agent Marketplace | AI Agent Directory | AI Agent Index from DeepNLP
This dataset is collected from AI Agent Marketplace Index and Directory at http://www.deepnlp.org, which contains AI Agents's meta information such as agent's name, website, description, as well as the monthly updated Web performance metrics, including Google,Bing average search ranking positions, Github Stars, Arxiv References, etc.
The dataset is helpful for… See the full description on the dataset page: https://huggingface.co/datasets/DeepNLP/autonomous-agent.humanoid-autonomous-decision-flows
Humanoid Autonomous Decision Flows
Decision-making reference dataset for autonomous humanoid robots.
han-autonomous-mobility-intelligence-dataset-v1
Humanoid Autonomous Mobility Intelligence Dataset
This dataset models locomotion patterns,
terrain adaptation,
and decentralized mobility coordination
between humanoid agents.
It captures movement efficiency,
terrain difficulty mapping,
and collaborative path optimization signals.
Objective
To enable intelligent,
energy-efficient,
and adaptive humanoid mobility
across dynamic environments.
Data Fields
agent_id
terrain_type
locomotion_mode
stability_score… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-mobility-intelligence-dataset-v1.han-autonomous-audit-trail-dataset-v1
Humanoid Autonomous Audit Trail Dataset
This dataset captures structured audit logs
generated by decentralized humanoid agents.
It records decision traces,
execution checkpoints,
state transitions,
and validation signatures.
Objective
To enable transparent,
verifiable,
and replayable decision auditing
across humanoid networks.
Data Fields
node_id
decision_id
state_transition_hash
execution_timestamp
validation_signature
pre_state_snapshot
post_state_snapshot… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-audit-trail-dataset-v1.han-autonomous-cognitive-load-balancing-dataset-v1
Humanoid Autonomous Cognitive Load Balancing Dataset
This dataset models cognitive workload distribution
across humanoid agents operating in a decentralized network.
It captures task intensity levels, processing strain,
decision complexity, and dynamic redistribution behavior
to prevent overload and maintain optimal performance.
Objective
To enable intelligent workload balancing
and cognitive strain mitigation
within distributed humanoid systems.
Data Fields… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-cognitive-load-balancing-dataset-v1.han-autonomous-failure-recovery-intelligence-dataset-v1
Humanoid Autonomous Failure Recovery Intelligence Dataset
This dataset models failure detection and autonomous recovery behavior
of humanoid agents operating in decentralized environments.
It captures how agents identify faults, diagnose root causes,
initiate recovery strategies, and restore operational stability
without centralized intervention.
Objective
To enable resilient, self-healing humanoid systems
capable of maintaining mission continuity
under hardware, software… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-failure-recovery-intelligence-dataset-v1.han-autonomous-resource-scarcity-response-dataset-v1
Humanoid Autonomous Resource Scarcity Response Dataset
This dataset models adaptive decision-making
under limited resource conditions
within decentralized humanoid networks.
It captures allocation strategies,
priority shifts,
efficiency adjustments,
and cooperative redistribution patterns.
Objective
To train humanoid agents
to remain operational
under constrained environments.
Data Fields
agent_id
resource_type
resource_availability_level
allocation_strategy… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-resource-scarcity-response-dataset-v1.han-autonomous-skill-evolution-dataset-v1
Humanoid Autonomous Skill Evolution Dataset
This dataset models how humanoid agents
acquire, refine, and expand operational skills
within a decentralized cognitive ecosystem.
It captures multi-stage skill development,
performance benchmarking, and capability upgrades.
Purpose
To train adaptive models that enable
continuous capability growth in humanoid agents.
Data Fields
agent_id
initial_skill_profile
new_task_domain
learning_phase
training_interaction_log… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-skill-evolution-dataset-v1.han-autonomous-mission-lifecycle-dataset-v1
Humanoid Autonomous Mission Lifecycle Dataset
This dataset models the full lifecycle
of mission execution
performed by humanoid agents
within decentralized environments.
It captures mission initialization,
planning,
execution,
monitoring,
adaptation,
and completion metrics.
Objective
To enable end-to-end mission orchestration
and lifecycle optimization
across Humanoid Network.
Data Fields
mission_id
agent_id
mission_type
planning_score
execution_efficiency… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-mission-lifecycle-dataset-v1.humanoid-autonomous-decision-audit-trails
Autonomous Decision Audit Trails
Traceable decision records for safe humanoid autonomy.
han-autonomous-risk-escalation-dataset-v1
Humanoid Autonomous Risk Escalation Dataset
This dataset models how humanoid agents
detect, classify, and escalate operational risks
within decentralized environments.
It records risk levels, escalation triggers,
response actions, and mitigation outcomes.
Objective
To enable intelligent risk detection
and structured escalation handling
without centralized supervision.
Data Fields
risk_event_id
agent_id
mission_id
detected_risk_type
risk_severity_score… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-risk-escalation-dataset-v1.han-autonomous-mission-continuity-dataset-v1
Humanoid Autonomous Mission Continuity Dataset
This dataset tracks mission persistence
under partial failures,
resource degradation,
and environmental disruptions.
It records fallback strategies,
mission priority shifts,
and recovery latency metrics.
Objective
To enable uninterrupted mission execution
through adaptive continuity planning.
Data Fields
mission_id
node_id
disruption_type
fallback_strategy_id
priority_shift_score
recovery_latency_ms… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-mission-continuity-dataset-v1.han-autonomous-market-interaction-dataset-v1
Humanoid Autonomous Market Interaction Dataset
This dataset models economic interactions
between humanoid agents
participating in decentralized task economies.
It captures bidding patterns,
task valuation signals,
and contract fulfillment metrics.
Objective
To support autonomous economic coordination
and fair market-based task allocation
within humanoid networks.
Data Fields
agent_id
task_id
bid_value
market_demand_index
contract_awarded_flag
fulfillment_score… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-market-interaction-dataset-v1.han-autonomous-task-economy-v1
Humanoid Autonomous Task Economy
This dataset describes economic tasks performed
by humanoid agents and the rewards they receive.
It simulates a self-sustaining task economy
inside the Humanoid Network.
Contents
Task type
Required effort
Reward value
Completion status
Use Cases
Autonomous agents
Task optimization
Reward-based learning
Part of
Humanoid Network (HAN)
License
MIT
han-autonomous-deployment-zoning-dataset-v1
Humanoid Autonomous Deployment Zoning Dataset
This dataset models region-specific deployment rules
for humanoid agents operating
across heterogeneous regulatory environments.
It captures geographic policy variance,
operational permissions,
and restriction enforcement data.
Objective
To enable context-aware deployment
across different jurisdictions and environments.
Data Fields
zone_id
regulatory_profile
allowed_operations
restricted_actions… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-deployment-zoning-dataset-v1.han-autonomous-learning-lifecycle-dataset-v1
Humanoid Autonomous Learning Lifecycle Dataset
This dataset tracks the lifecycle
of on-device learning processes
within humanoid agents.
It records model updates,
gradient exchanges,
performance improvements,
and rollback events.
Objective
To enable safe,
traceable,
and adaptive model evolution
in decentralized humanoid systems.
Data Fields
node_id
model_version
gradient_hash
performance_metric_delta
update_timestamp
rollback_trigger_flag… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-learning-lifecycle-dataset-v1.autonomous_agent_code_failure_pairs_v2han-autonomous-decision-reflection-dataset-v1
Autonomous Decision Reflection Dataset
This dataset records autonomous decisions made by humanoid AI
and the reflective reasoning behind those decisions.
It supports transparency and explainability in autonomous systems.
Use Cases
Explainable AI
Decision auditing
Safety analysis
Fields
decision_context
chosen_action
reasoning_summary
outcome
Part of
Humanoid Network (HAN)
License
MIT
han-autonomous-network-self-healing-dataset-v1
Humanoid Autonomous Network Self-Healing Dataset
This dataset models failure detection and recovery
mechanisms inside a decentralized humanoid cognitive mesh.
It captures anomaly signals, fault propagation,
recovery strategies, and post-recovery performance metrics.
Objective
To train autonomous recovery systems
that stabilize the Humanoid Network
without centralized intervention.
Failure Types
Node crash
Memory desynchronization
Task deadlock
Consensus… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-network-self-healing-dataset-v1.6D_pose_autonomous