File size: 2,500 Bytes
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"title": "HESA-v1: Human Emotion + System Adaptation Dataset",
"id": "wincode/hesa-v1-human-emotion-system-adaptation",
"licenses": [
{
"name": "MIT"
}
],
"keywords": [
"emotion recognition",
"human computer interaction",
"affective computing",
"synthetic data",
"adaptive AI",
"stress detection",
"cognitive load",
"mental health",
"productivity",
"AGI",
"intelligent tutoring",
"NLP",
"user behavior",
"deep learning",
"classification"
],
"collaborators": [],
"data": [
{
"description": "Full HESA-v1 dataset containing 500 synthetic samples of human emotion states, system telemetry, environmental context, and AI adaptive responses.",
"name": "HESA_dataset_v1.json",
"totalBytes": 1904937,
"columns": [
{
"name": "sample_id",
"description": "Unique sample identifier in format HESA-XXXXX"
},
{
"name": "timestamp",
"description": "ISO 8601 datetime of the simulated session"
},
{
"name": "user_profile",
"description": "Nested object: age, profession, country, personality_type, experience_level, sleep_hours, stress_level, mental_focus, social_energy"
},
{
"name": "environment",
"description": "Nested object: location_type, noise_level, lighting, temperature, time_of_day, weather"
},
{
"name": "system_state",
"description": "Nested object: CPU/RAM/battery usage, open apps, typing speed (derived), error frequency (derived), multitasking level"
},
{
"name": "human_behavior",
"description": "Nested object: emotion (28 categories), intensity, facial expression, voice tone, frustration signals, cognitive load, learning state"
},
{
"name": "conversation_context",
"description": "Nested object: user message, conversation goal, topic, urgency level, communication style"
},
{
"name": "ai_system_response",
"description": "Nested object: assistant response, UI adaptation, notification strategy, music recommendation, focus mode, wellness suggestion"
},
{
"name": "long_term_memory",
"description": "Nested object: historical behavior pattern, previous emotional state, productivity trend, burnout risk, learning progression"
}
]
}
]
}
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