Add ICMLCN2025 ML Training dataset

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+*.csv filter=lfs diff=lfs merge=lfs -text

ICMLCN2025_MLTrainingData_v1.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5b51f1410647f17e8a34d4980bf0bf90bbfde73070a5edcdee4a9bc401909c34
+size 221432400

README.md

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 ---
 license: mit
 task_categories:
-- question-answering
+    - question-answering
 language:
-- en
+    - en
 tags:
-- WSN
-- dependability
-- reliability
-- coverage
+    - WSN
+    - dependability
+    - reliability
+    - coverage
 pretty_name: Dependability Assessment using Machine Learning
 size_categories:
-- 10K<n<100K
----
+    - 10K<n<100K
+---
+
+# 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**: `ICMLCN2025_MLTrainingData_v1.csv`
+-   **Size**: ~211 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
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("your-username/ICMLCN2025-MLTrainingData")
+
+# Access the data
+df = dataset['train'].to_pandas()
+```
+
+### Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{icmlcn2025_dependability,
+  title={Dependability Assessment using Machine Learning},
+  author={Your Name},
+  year={2025},
+  publisher={Hugging Face},
+  note={ICMLCN2025}
+}
+```
+
+### License
+
+This dataset is released under the MIT License.