RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
\centering
\begin{adjustbox}{max width=\textwidth}
\begin{tabular}{l|cccc|ccccccc}
\toprule
Train$\downarrow$ Test$\rightarrow$ & \tabincell{c}{FEVER\\-para} & \tabincell{c}{FEVER\\-sent} & VitaminC & \tabincell{c}{FoolMe\\Twice} & \tabincell{c}{C-FEVER\\-para} & \tabincell{c}{C-FEVER\\-sent} & \tabincell{c}{SciFact\\-para} & \tabincell{c}{SciFact\\-sent} & PubHealth & \tabincell{c}{COVID\\-Fact} & FAVIQ \\
\midrule
FEVER-para & --- & \textbf{94.91} & 71.56 & 72.50  & \textbf{77.40} & 76.04 & 72.29 & 75.92 & 44.75 & 56.82 & 55.09 \\
FEVER-sent & \textbf{89.08} & --- & \textbf{79.79} & 84.02 & 74.71 & \textbf{80.21} & \textbf{75.12} & \textbf{87.37} & 58.25 & 63.99 & 61.64 \\
VitaminC & 84.62 & 94.46 & --- & \textbf{84.57} & 62.80  & 54.59 & 62.37 & 69.31 & 55.32 & \textbf{70.32} & \textbf{62.98} \\
FoolMeTwice & 82.58 & 91.46 & 78.56 & --- & 71.38 & 78.24 & 69.22 & 84.19 & 56.81 & 58.68 & 59.23 \\
\midrule
C-FEVER-para & 33.37 & 33.72 & 52.56 & 34.15 & --- & 56.66 & 39.77 & 40.89 & 38.61 & 25.50  & 33.52 \\
C-FEVER-sent & 51.33 & 62.00 & 55.91 & 50.69 & 75.85 & --- & 66.72 & 72.08 & 55.54 & 43.04 & 36.53 \\
SciFact-para & 33.38 & 33.57 & 46.73 & 34.42 & 43.35 & 49.23 & --- & 41.27 & 38.69 & 26.64 & 33.69 \\
SciFact-sent & 33.40  & 33.64 & 36.91 & 33.77 & 42.63 & 42.46 & 44.02 & --- & 43.35 & 26.64 & 33.51 \\
PubHealth & 65.68 & 64.69 & 53.57 & 53.55 & 53.92 & 61.78 & 68.75 & 71.01 & --- & 40.95 & 50.89 \\
COVID-Fact & 70.94 & 76.16 & 37.22 & 63.02 & 44.13 & 51.71 & 63.60  & 76.29 & \textbf{60.06} & --- & 46.93 \\
FAVIQ & 74.57 & 73.80  & 59.14 & 59.67 & 64.92 & 60.49 & 59.08 & 52.64 & 40.15 & 50.25 & --- \\
\bottomrule
\end{tabular}%
\end{adjustbox}
\caption{Table 3: F1 of \textbf{binary fact verification} on the evaluation set for all datasets in a zero-shot generalization setup. Rows correspond to the training dataset and columns to the evaluated dataset.}
\end{table}