.huggingface/dataset_config.yaml

import pandas as pd
import yaml
from pathlib import Path

# -------------------------------
# Step 1: Create Sample CSV Files
# -------------------------------

# Define sample data for the train split
train_data = {
    "Timestamp": ["2025-01-01T12:00:00Z", "2025-01-02T13:00:00Z"],
    "Source_IP": ["192.168.1.1", "10.0.0.2"],
    "Destination_IP": ["192.168.1.100", "10.0.0.5"],
    "MITRE_ATT&CK_ID": ["T1003", "T1021"],
    "Tool_Name": ["ToolA", "ToolB"],
    "Event_Description": ["Attack event description", "Defense event description"],
    "Event_Type": ["Attack", "Defense"],
    "MITRE_Tactic": ["Credential Access", "Defense Evasion"]
}

# Define sample data for the test split
test_data = {
    "Timestamp": ["2025-01-03T14:30:00Z"],
    "Source_IP": ["172.16.0.3"],
    "Destination_IP": ["172.16.0.10"],
    "MITRE_ATT&CK_ID": ["T1059"],
    "Tool_Name": ["ToolC"],
    "Event_Description": ["Test event description"],
    "Event_Type": ["Attack"],
    "MITRE_Tactic": ["Execution"]
}

# Create pandas DataFrames for train and test
train_df = pd.DataFrame(train_data)
test_df = pd.DataFrame(test_data)

# Save the DataFrames as CSV files in the current directory
train_csv_path = Path("train.csv")
test_csv_path = Path("test.csv")

train_df.to_csv(train_csv_path, index=False)
test_df.to_csv(test_csv_path, index=False)

print(f"Created CSV files: {train_csv_path} and {test_csv_path}")

# ------------------------------------------
# Step 2: Create a YAML Configuration File
# ------------------------------------------
# This YAML file tells the Hub how to treat your CSV files (which split they belong to)

config = {
    "configs": [
        {
            "config_name": "default",
            "data_files": [
                {"split": "train", "path": str(train_csv_path)},
                {"split": "test", "path": str(test_csv_path)}
            ]
        }
    ]
}

# Write the YAML configuration to a file named 'dataset_config.yaml'
config_yaml_path = Path("dataset_config.yaml")
with open(config_yaml_path, "w") as f:
    yaml.dump(config, f, default_flow_style=False)

print(f"Created YAML configuration file: {config_yaml_path}")