RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table*}
		[ht]
		\centering
		\begin{tabular}{lccccc}
			\toprule                             & \multicolumn{2}{c}{ EmoV}            & \multicolumn{2}{c}{ Expresso}            \\
			                                     & Avg. Cosine                          & Vendi score                             & Avg. Cosine                             & Vendi score                  \\
			\midrule

SoundStream                & \hphantom{-}0.137 (± 0.573)          & \hphantom{-}0.714 (± 0.250)             & \hphantom{-}0.357 (± 0.383)             & \hphantom{-}0.495 (± 0.348)  \\
			Wav2vec-BERT                         & \hphantom{-}0.682 (± 0.182)          & \hphantom{-}0.594 (± 0.080)             & \hphantom{-}0.668 (± 0.170)             & \hphantom{-}0.705 (± 0.070)  \\
			HuBERT                               & \hphantom{-}0.809 (± 0.200)          & \hphantom{-}0.823 (± 0.193)             & \hphantom{-}0.739 (± 0.249)             & \hphantom{-}0.864 (± 0.128)  \\
			SpeechSim                            & \hphantom{-}0.785 (± 0.148)          & \hphantom{-}0.683 (± 0.088)             & \hphantom{-}0.725 (± 0.154)             & \hphantom{-}0.725 (± 0.064)  \\
			\midrule Trained from scratch        & \hphantom{-}0.991 (± 0.020)          & \hphantom{-}0.962 (± 0.051)             & \hphantom{-}\underline{0.998} (± 0.008) & \hphantom{-}0.988 (± 0.018) &  \\
			Trained from scratch/Expresso        & \hphantom{-}0.498 (± 0.250)          & \hphantom{-}0.513 (± 0.274)             & -                                       & -                            \\
			Trained from scratch/EmoV            & -                                    & -                                       & \hphantom{-}0.247 (± 0.562)             & \hphantom{-}0.251 (± 0.512)  \\
			SpeechSim/Emotion                    & \hphantom{-}\textbf{0.995} (± 0.016) & \hphantom{-}\underline{0.993} (± 0.019) & \hphantom{-}\textbf{0.999} (± 0.007)    & \hphantom{-}0.987 (± 0.017)  \\
			\midrule

SpeechSim/Emotion-Expresso & \hphantom{-}0.641 (± 0.279)          & \hphantom{-}0.709 (± 0.243)             & -                                       & -                            \\
			SpeechSim/Emotion-EmoV               & -                                    & -                                       & \hphantom{-}0.273 (± 0.465)             & \hphantom{-}0.321 (± 0.464)  \\
			\bottomrule[\heavyrulewidth]
		\end{tabular}
		\caption{Table 3 : Emotion diversity. Average Spearman correlations between the
		classes entropy in EmoV and Expresso and diversity scores induced by the speech
		representations. SpeechSim/Emotion-Expresso (resp. Speech/Emotion-EmoV) refers
		to SpeechSim emotion head trained on Expresso (resp. EmoV).}
	\end{table*}