alabnii/sciclaimeval-shared-task huggingface dataset:
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\multirow{2}{*}{\textbf{Models + ML Lex.}} & \multicolumn{2}{c}{\textbf{Binary}} && \multicolumn{2}{c}{\textbf{3-way}} \\
\cmidrule{2-3} \cmidrule{5-6}
& \textbf{Reg.} &\textbf{ Class.} && \textbf{Reg.} & \textbf{Class.} \\
\midrule
mBERT$_\text{Base}$ & \textbf{67.43} & 66.29 & & 48.62 & \textbf{48.78} \\
XLM-R$_\text{Base}$ & \textbf{69.24} & 64.37 & & \textbf{49.27} & 42.38 \\
XLM-R$_\text{Large}$ & \textbf{75.31} & 74.54 & & \textbf{53.69} & 53.27 \\
mBART$_\text{Large}$ & \textbf{73.13} & 71.23 & & 49.08 & \textbf{49.19} \\
mT5$_\text{Base}$ & \textbf{74.55} & 68.27 & & 99.84 & \textbf{53.71} \\
mT5$_\text{Large}$ & \textbf{75.96} & 72.21 & & 90.94 & \textbf{54.96} \\
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\caption{Table 5: Regression vs.\ classification in lexicon-based pretraining for zero-shot sentiment analysis.}
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