The final Basic Block and Function features are extracted in Semicolon-Separated Values (SSV) format.
To load in pandas, use -
import pandas as pd
data = pd.read_csv("FNFeatures.csv", sep=";")
Assuming FNFeatures.csv is the target feature file.
The generated dataset is list of functions with various characteristics and a label indicating whether each function is… See the full description on the dataset page:
https://huggingface.co/datasets/saketupadhyay/Function_BasicBlock_Features_NIST_Juliet1_3_C_CPP.
