Datasets:
Tasks:
Question Answering
Modalities:
Tabular
Formats:
csv
Languages:
English
Size:
10K - 100K
License:
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Dependability Assessment using Machine Learning
Dataset Description
This dataset contains training data for machine learning models focused on dependability assessment in Wireless Sensor Networks (WSN). It includes extensive coverage and reliability metrics for various network configurations.
Dataset Summary
- File:
MLTrainingData.csv.csv - Size: ~282 MB
- Format: CSV
- Use Cases: Dependability prediction, reliability analysis, WSN coverage optimization
Features
The dataset contains numerical features related to:
- Network configuration parameters
- Coverage metrics over time
- Reliability measurements
- Sensor node characteristics
- Spatial distribution data
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("joaocarlosnb/depml")
# Access the data
df = dataset["train"].to_pandas()
Citation
If you use this dataset in your research, please cite:
License
This dataset is released under the MIT License.
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