RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
\centering
\begin{adjustbox}{max width=\textwidth}
    \begin{tabular}{@{}l@{}}
    \toprule
    \textbf{I 'm not sure what all the hype is about . i 've been here a few times and it 's just ok . nothing} \\
    \textbf{special . I would n't go out of my way to come here .}\vspace{0.1cm}\\
    \emph{\quad I 've been here a few times and it 's always been good . the food is good , but the service is} \\
    \emph{\quad not so great .}\\
    \emph{\quad I 've been here a few times and it 's always been good . i 've had the chicken and waffles and} \\
    \emph{\quad the service was good .}\\
    \emph{\quad Great place to go for a quick bite to eat . the food is great and the service is great . i have} \\
    \emph{\quad been here a few times and have never been disappointed .}\vspace{0.1cm}\\
    \textbf{Great food , great service , and great service . i 've been} \textbf{here a few times and have never been} \\
    \textbf{disappointed}\\
    \bottomrule
    \end{tabular}}
\end{adjustbox}
\caption{Table 3 : \text{Sentence interpolation (Yelp dataset).} Representations of two sentences \emph{(top, bottom)} are obtained by feeding them through an adversarially trained VAE encoder. Three linearly interpolated representations are passed to the VAE decoder and sentences generated by greedy sampling \emph{(middle)}.}
\end{table}