RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
\centering
\begin{adjustbox}{max width=\textwidth}
    \begin{tabular}{l*{8}{c}}
        \toprule
        \textbf{Data Source}   & \textbf{Cls.}   & \textbf{Clust.}   & \textbf{MultiLabelCls.}   & \textbf{PairCls.}   & \textbf{Rerank.}   & \textbf{Retr.}   & \textbf{STS}   & \textbf{Avg.}   \\
        \midrule
        Basic English Datasets  
        & \textbf{62.3}   & \underline{54.6}     & \textbf{39.0}             & \underline{59.7}       & \underline{62.1}      & \underline{64.1}    & \underline{73.6}  & \underline{59.3}  \\
        Basic Russian Datasets &
        \underline{62.1}   & 53.9     & \textbf{39.0}             & \textbf{60.0}       & \textbf{63.1}      & \textbf{65.1}    & \textbf{73.7}  & \textbf{59.6}  \\
        Mixture       & 61.4   & 54.3     & 37.8             & 56.5       & 61.4      & 63.8    & 72.9  & 58.3  \\
        \quad + synthetic        & 61.7   & \textbf{56.6}     & 36.8             & 54.7       & 57.5      & 57.6    & 69.9  & 56.4  \\
        \quad + synthetic \& retrieval     & 60.0   & 54.2     & \underline{38.0}             & 56.3       & 60.8      & 61.7    & 72.3  & 57.6  \\
        \bottomrule
    \end{tabular}
\end{adjustbox}
\caption{Table 2: Different data sources impact. Model performance is measured on ruMTEB. \textbf{Avg.} stands for the average score and is computed as the mean of the category scores. The best score is put in bold, the second best is underlined.}
\end{table}