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 & 87.05 & 85.89 & \textbf{83.81} \\
FEVER-sent & 42.52 & \textbf{28.24} & 44.38 & 91.32 & \textbf{89.42} & 87.10 \\
VitaminC & 50.06 & \textbf{20.44} & 25.96 & 94.44 & 89.42 & \textbf{76.42} \\
\midrule
C-FEVER-para & 34.14 & \textbf{24.09} & 47.76 & 68.50 & \textbf{13.56} & 51.76 \\
C-FEVER-sent & 28.29 & \textbf{19.72} & 64.00 & 62.27 & \textbf{46.40} & 78.96 \\
SciFact-para & 34.33 & \textbf{15.35} & 51.60 & 59.29 & \textbf{23.02} & 74.44 \\
SciFact-sent & 47.43 & \textbf{22.23} & 55.70 & 61.87 & \textbf{18.49} & 82.45 \\
PubHealth & 20.96 & \textbf{4.54} & 7.79 & 91.07 & 82.00 & \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}