alabnii/sciclaimeval-shared-task huggingface dataset:
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\begin{document}
\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}%
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\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}
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