RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
\centering
\begin{adjustbox}{max width=\textwidth}
        \begin{tabular}{lcccc}
        \toprule
            \textbf{Model} & \textbf{Stance} & \textbf{Hate Speech} & \textbf{Emotion} \\
            \midrule
            \textit{Binary classes} \\
            mBERT$_\text{Base}$ & 70.27 & 69.11 & 58.96 \\
            $+$ EN Lex.\ & \textbf{73.25} & \textbf{71.35} & \textbf{75.89} \\
            \midrule
            \textit{Original classes} \\
            mBERT$_\text{Base}$ & 52.55 & 56.36 & 18.44 \\
            $+$ EN Lex.\ & \textbf{53.04} & \textbf{57.59} & \textbf{23.93} \\
        \bottomrule
        \end{tabular}
\end{adjustbox}
\caption{Table 6: Lexicon-based pretraining performance (macro-F1) over stance detection, hate speech detection, and emotion classification. The results are based on the limited training data scenario.}
\end{table}