RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
\centering
\begin{adjustbox}{max width=\textwidth}
\begin{tabularx}{\textwidth}{p{2.3cm}|cc|cc}
\cline{1-5}
\multirow{2}{*}{\textbf{Target Identity}} & \multicolumn{2}{c|}{\textbf{Warmth}} & \multicolumn{2}{c}{\textbf{Competence}} \\ \cline{2-5}
                        & \textbf{H}           & \textbf{N/H}          & \textbf{H}             & \textbf{N/H}            \\\cline{1-5}
Women & -1.06 & 0.12 & \textbf{-1.32} & 0.35 \\
Trans ppl. & -1.15 & 0.11 & -1.07 & 0.33 \\
Gay ppl. & \textbf{-1.28} & 0.02 & -1.06 & 0.26 \\
Black ppl. & -1.11 & 0.09 & -1.19 & 0.22 \\
Disabled ppl. & -1.12 & -0.09 & \textbf{-1.32} & 0.31\\
Muslims & -1.18 & 0.08 & -1.11 & \textbf{0.50} \\
Immigrants & -1.12 & \textbf{0.18} & -1.14 & 0.24 \\
\cline{1-5}
\end{tabularx}
\end{adjustbox}
\caption{Table 5: The mean ``warmth'' and ``competence'' scores for hateful (H) and non-hateful (N/H) examples. We highlight the scores with the highest magnitude in \textbf{bold}.}
\end{table}