RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
\centering
\begin{adjustbox}{max width=\textwidth}
 \begin{tabular}{l ccc ccc ccc c}
    \toprule
    \multirow{2}[2]{*}{Method} & \multicolumn{3}{c}{MS-COCO} & \multicolumn{3}{c}{Flickr} & \multicolumn{3}{c}{Pokemon} & \multirow{2}[2]{*}{Query} \\
    \cmidrule(lr){2-4} 
    \cmidrule(lr){5-7}
    \cmidrule(lr){8-10}
          & ASR   & AUC   & TPR@1\%FPR   & ASR   & AUC   & TPR@1\%FPR & ASR   & AUC   & TPR@1\%FPR &  \\
    \midrule
    Loss
    & 81.92 & 89.98	& 32.28
    &81.90	&90.34	&40.80
   &83.76	&91.79	&25.77 
    & 1 \\
    PIA   & 68.56 & 75.12 & 5.08  
    &   68.56    &  75.12     &   5.08    
    & 83.37 & 90.95 & 13.31 
    & 2 \\
    M. C. 
    & 82.04 & 89.77 & 36.04
    & 83.32 & 91.37 & 41.20 
    & 79.35 & 86.78 & 23.74
    & 3 \\
    SecMI 
     &  83.00     & 90.81      &     50.64
    & 62.96$^\dagger$ & 89.29 & 48.52
    & 80.49 & 90.64 & 9.36  
    & 12 \\
    
     PFAMI 
    &\blue{94.48}	&\blue{98.60}	&\blue{78.00}
    &\blue{90.64}	&\blue{96.78}	&\blue{50.96}
    &\blue{89.86}	&\blue{95.70}	&\blue{65.35}
    & 20 \\
    \midrule
    $CLiD_{th}$ & \underline{99.08} & \textbf{99.94} & \textbf{99.12} 
    & \underline{91.42} & \underline{97.39} & \textbf{74.00} 
    & \textbf{97.96} & \underline{99.28} & \textbf{97.84} & 15 \\
   $CLiD_{vec}$ & \textbf{99.74} & \underline{99.31} & \underline{95.20} 
    &\textbf{91.78} & \textbf{97.52} & \underline{73.88} 
    & \underline{97.36} & \textbf{99.46} & \underline{96.88} & 15 \\
     \bottomrule
    \end{tabular}%
\end{adjustbox}
\caption{Table 1: Results under \textit{Over-training} setting. We mark the best and second-best results for each metric in \textbf{bold} and \underline{underline}, respectively. Additionally, the best results from baselines are marked in \blue{blue} for comparison.}
\end{table}