RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
	\centering
	\begin{adjustbox}{max width=\textwidth}
		\begin{tabular}{lllllll}
			\multicolumn{3}{c}{\textbf{Frequent Paths Leading to \textcolor{blue}{Correct Decisions}}} & & \multicolumn{3}{c}{\textbf{Frequent Paths Leading to \textcolor{red}{Incorrect Decisions}}}\\
			\cmidrule[1pt]{1-3} \cmidrule[1pt]{5-7}
			B$\rightarrow$H (10.1\%) & \multicolumn{2}{l}{\quad\quad\quad\quad B$\rightarrow$H$\rightarrow$S$\rightarrow$SB (2.8\%)} & & H$\rightarrow$SB$\rightarrow$SH (2.9\%) & & H$\rightarrow$SB$\rightarrow$S (1.5\%) \\
			B$\rightarrow$H$\rightarrow$SB (9.0\%) &   & \quad\quad\, B$\rightarrow$S (2.5\%) &   & B$\rightarrow$S$\rightarrow$SS (2.1\%) &   & B$\rightarrow$S$\rightarrow$H$\rightarrow$SS (1.4\%) \\
			\multicolumn{2}{l}{B$\rightarrow$H$\rightarrow$SB$\rightarrow$S (4.7\%)} & \quad\quad\, SB$\rightarrow$H (2.2\%) & &B$\rightarrow$H$\rightarrow$SB$\rightarrow$S (2.0\%) & & SB$\rightarrow$H$\rightarrow$B$\rightarrow$S (1.1\%) \\
			\bottomrule
		\end{tabular}
	\end{adjustbox}
	\caption{Table 2: The most common decision paths during reflection and their percentages in the training data. SB, B, H, S,
		SS represent strong buy, buy, hold, sell, and strong sell, respectively. In cases where the model correctly decides in
	the 1st iteration, we disregard these instances since they do not involve self-reflection.}
\end{table}