datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Sensor_Driven_Environmental_Monitoring_LLM_Evaluation_Dataset
📌 Dataset Contents
Each sample includes:
category: The evaluation domain
prompt: The question given to the LLM
temperature: Environmental temperature input
humidity: Environmental humidity input
context: A scenario label (e.g., cool_humid, hot_dry, average_day)
reference: Expert-crafted expected output
All data is provided in a single JSON file.
🧪 Intended Use
This dataset supports research on:
LLM evaluation methods (semantic similarity, contextual… See the full description on the dataset page: https://huggingface.co/datasets/wayne-redemption/Sensor_Driven_Environmental_Monitoring_LLM_Evaluation_Dataset.douvras-environmental-sensor-fusion
Douvras Environmental Sensor Fusion v0.1
Synthetic episodes combining air quality, noise, traffic, light and temperature.
Labels include normal operation, single-sensor spikes, multi-sensor anomaly and
missing sensor. It contains 72 records (48/12/12) across 12 episodes, split by
episode. No real sensor or location data is included.
This is a fusion protocol, not an operational alarm system. Human review is
required before any intervention.