RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
\centering
\begin{adjustbox}{max width=\textwidth}
\begin{tabular}{lcrrrrrrr}
\toprule
Features / Language & \#F      & ar     & bn     & fi    & ja      & ko     & ru    & te   \\ \midrule
(All)  Features         & 11   & 0.938  & \textbf{0.867}  & 0.921  & 0.881  & 0.921  & 0.826 & 0.918 \\
(W/o)  LLM as a Judge   &  9   & 0.912  & 0.866  & 0.898  & 0.853  & 0.891  & 0.811 & 0.904 \\
(W/o)  Low. Correlation &  7   & \textbf{0.951}  & \textbf{0.867}  & \textbf{0.923} & \textbf{0.885}  & \textbf{0.929}  & 0.829 & \textbf{0.940} \\
(Only) LLM as a Judge   &  2   & 0.948  & 0.728  & 0.907  & 0.884  & 0.916  & \textbf{0.851} & 0.872 \\
\bottomrule
\end{tabular}}
\end{adjustbox}
\caption{Table 4: Kendall Tau ($\tau$) scores using different features for training the random forest regression model.}
\end{table}