alabnii/sciclaimeval-shared-task huggingface dataset:
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\begin{table*}
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\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{-}\underline{0.861} (± 0.076) & \ \hphantom{-}0.478 (± 0.320) & \ \hphantom{-}\underline{0.912} (± 0.047) & \ \hphantom{-}0.538 (± 0.317) \\
\midrule Trained from scratch & \ \hphantom{-}0.186 (± 0.473) & \ \hphantom{-}0.132 (± 0.440) & \ \hphantom{-}0.129 (± 0.438) & \ \hphantom{-}0.162 (± 0.455) \\
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
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\caption{Table 2 : Gender diversity. Average Spearman correlations between proportion
of female voices and diversity scores induced by speech representations.}
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