\begin{table*}[ht]
\centering
\caption{Overview of the six benchmark repositories in \textsc{RepoCraft}. Each repository is anonymized by renaming to prevent direct memorization or retrieval by models. We list both the anonymized names and their original counterparts, together with category, purpose, and scope.}
\label{tab:benchmark-repos}
\renewcommand{\arraystretch}{1.2} % 调整行距
\resizebox{\textwidth}{!}{%
\begin{tabular}{p{0.12\textwidth} p{0.15\textwidth} p{0.12\textwidth} p{0.28\textwidth} p{0.28\textwidth}}
\toprule
\textbf{Original Name} & \textbf{Anonymized Name} & \textbf{Category} & \textbf{Purpose} & \textbf{Scope} \\
\midrule
\textbf{scikit-learn} & \textbf{MLKit-Py} & Machine Learning Framework & 
Provides efficient tools for data mining and analysis, supporting classical supervised and unsupervised learning algorithms. & 
Focuses on model training, evaluation, and selection for standard ML tasks; excludes deep learning and distributed systems. \\
\textbf{sympy} & \textbf{SymbolicMath} & Symbolic Computation Library & 
Enables symbolic mathematics including algebraic manipulation, calculus, simplification, and equation solving. & 
Pure Python implementation of symbolic and algebraic computation, lightweight and extensible, without external dependencies. \\
\textbf{pandas} & \textbf{TableKit} & Data Analysis Library & 
Provides flexible data structures (e.g., DataFrame, Series) for manipulating and analyzing tabular data. & 
Supports efficient single-machine structured data processing; excludes distributed data frameworks. \\
\textbf{django} & \textbf{PyWebEngine} & Web Framework & 
High-level framework for rapid development with ORM, routing, templating, and admin support. & 
Offers an all-in-one toolkit for building web applications on small-scale/single-server deployments. \\
\textbf{requests} & \textbf{HttpEasy} & HTTP Client Library & 
Simple, human-friendly library for sending HTTP requests and handling responses. & 
Covers API for requests, responses, cookies, sessions, headers; excludes advanced networking and async features. \\
\textbf{statsmodels} & \textbf{StatModeler} & Statistical Modeling Library & 
Provides econometric and statistical modeling tools, including regression, time series, and hypothesis testing. & 
Focuses on classical statistical analysis and diagnostics; excludes modern machine learning and deep learning. \\
\bottomrule
\end{tabular}%
}
\end{table*}