alabnii/sciclaimeval-shared-task huggingface dataset:
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\begin{table}
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\toprule Relation & \textbf{Rel} & \textbf{Flu} & \textbf{Rea}\\
\midrule
\midrule
\textbf{Cause\_NS} & 3.47 & 4.62 & 3.80\\
\textbf{Condition\_NS} & 3.25 & 3.82 & 3.98\\
\textbf{Contrast\_NN} & 3.97 & 4.02 & 3.67\\
\textbf{Elaboration\_NS} & 3.70 & 4.35 & 3.75\\
\textbf{Evaluation\_NS} & 2.56 & 3.97 & 3.75\\
\textbf{Joint\_NN} & 4.02 & 4.05 & 4.32\\
\textbf{Manner-Means\_NS} & 3.57 & 3.57 & 4.13\\
\textbf{All Relations} & 3.49 & 4.05 & 3.91\\
\textbf{None} & - & 4.16 & 3.80\\

\midrule
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\caption{Table 2: The human-evaluation statistics for each relation, where \textit{None} is generation with the language model alone. The metrics are \textit(Rel[ation-fit]), \textit(Flu[ency]), and \textit(Rea[sonableness]).}
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