RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
\centering
\begin{adjustbox}{max width=\textwidth}
\begin{tabular}{l|ccc|ccc}
\toprule
\multirow{2}{*}{Dataset} & \multicolumn{3}{c|}{Zero-shot} & \multicolumn{3}{c}{In-domain} \\ \cline{2-7}
 & S & R & N & S & R & N \\
\midrule
FEVER-para & 33.75 & \textbf{25.85} & 34.41 &  85.89 &87.05 & \textbf{83.81} \\
FEVER-sent & 42.52 & \textbf{28.24} & 44.38 &  \textbf{89.42} &91.32 & 87.10 \\
VitaminC & 50.06 & \textbf{20.44} & 25.96 &  89.42 &94.44 & \textbf{76.42} \\
\midrule
C-FEVER-para & 34.14 & \textbf{24.09} & 47.76 &  \textbf{13.56} &68.50 & 51.76 \\
C-FEVER-sent & 28.29 & \textbf{19.72} & 64.00 &  \textbf{46.40} & 62.27 &78.96 \\
SciFact-para & 34.33 & \textbf{15.35} & 51.60 & \textbf{23.02} &59.29 &  74.44 \\
SciFact-sent & 47.43 & \textbf{22.23} & 55.70 &  \textbf{18.49} &61.87 & 82.45 \\
PubHealth & 20.96 & \textbf{4.54} & 7.79 &  82.00 & 91.07 &\textbf{43.24} \\
\bottomrule
\end{tabular}%
\end{adjustbox}
\caption{Table 5: Class-wise F1 of 3-class fact verification for the zero-shot generalization setup (left) and the in-domain training setup (right). S: supports; R: refutes; N: NEI.}
\end{table}