RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
		\centering
		\begin{adjustbox}
			{max width=\textwidth}
			\begin{tabular}{lcccccc}
				\toprule                      & Avg. Cosine                 & Vendi score                             \\
				\midrule SoundStream          & \hphantom{-}0.141 (± 0.390) & \hphantom{-}0.265 (± 0.433)             \\
				Wav2vec-BERT                  & -0.014 (± 0.417)            & -0.070 (± 0.452)                        \\
				HuBERT                        & \hphantom{-}0.218 (± 0.356) & \hphantom{-}\textbf{0.531} (± 0.332)    \\
				SpeechSim                     & \hphantom{-}0.254 (± 0.309) & \hphantom{-}0.466 (± 0.322)             \\
				\midrule Trained from scratch & \hphantom{-}0.173 (± 0.355) & \hphantom{-}0.355 (± 0.404)             \\
				SpeechSim/Noise               & \hphantom{-}0.116 (± 0.359) & \hphantom{-}\underline{0.469} (± 0.413) \\
				\bottomrule
			\end{tabular}
		\end{adjustbox}
		\caption{Table 5 : Background noise diversity. Average Spearman correlations
		between the number of different classes of noise and diversity scores induced
		by speech representations. \%LibriTTS is used to build examples with no background
		noise.}
	\end{table}