RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
		\centering
		\begin{adjustbox}
			{max width=\textwidth}
			\begin{tabular}{lcccccccc}
				\toprule Female voices ratio  & \multicolumn{2}{c}{$\le 0.5$}             & \multicolumn{2}{c}{$> 0.5$}    \\
				                              & Avg. Cosine                               & Vendi score                   & Avg. Cosine                               & Vendi score                   &  \\
				\midrule

SoundStream         & \ \hphantom{-}0.095 (± 0.463)             & \ \hphantom{-}0.092 (± 0.435) & \  \hphantom{-}0.117 (± 0.410)            & \  \hphantom{-}0.097 (± 0.367) \\
				Wav2vec-BERT                  & \ -0.035 (± 0.434)                        & \ \hphantom{-}0.026 (± 0.427) & \ \hphantom{-}0.159 (± 0.406)             & \ \hphantom{-}0.105 (± 0.415)  \\
				HuBERT                        & \ \hphantom{-}0.117 (± 0.431)             & \ \hphantom{-}0.223 (± 0.448) & \ \hphantom{-}0.109 (± 0.445)             & \ \hphantom{-}0.004 (± 0.444)  \\
				SpeechSim                     & \ \hphantom{-}0.186 (± 0.473)             & \ \hphantom{-}0.132 (± 0.440) & \  \hphantom{-}0.129 (± 0.438)            & \ \hphantom{-}0.162 (± 0.455)  \\
				\midrule Trained from scratch & \ \hphantom{-}\underline{0.861} (± 0.076) & \ \hphantom{-}0.478 (± 0.320) & \ \hphantom{-}\underline{0.912} (± 0.047) & \ \hphantom{-}0.538 (± 0.317)  \\
				SpeechSim/Gender              & \ \hphantom{-}\textbf{0.902} (± 0.108)    & \ \hphantom{-}0.708 (± 0.249) & \ \hphantom{-}\textbf{0.946} (± 0.057)    & \ \hphantom{-}0.742 (± 0.216)  \\
				\bottomrule
			\end{tabular}
		\end{adjustbox}
		\caption{Table 2 : Gender diversity. Average Spearman correlations between proportion
		of female voices and diversity scores induced by speech representations. \%Male
		(reps. Female) refer to samples with female proportion from 0.0 to 0.5 (resp.
		0.5 to 1.0).}
	\end{table}