\begin{table}[t]
\centering
\small
\setlength{\tabcolsep}{4pt}
\begin{tabular}{l l l r r r}
\hline
\textbf{Lang} & \textbf{Setting} & \textbf{Split} & \textbf{Total} & \textbf{Valid} & \textbf{Drop \%} \\
\hline
\multirow{4}{*}{aym}
& Curated        & Train & 6{,}531  & 6{,}092  & 5.54 \\
&                & Dev   & 996      & 996      & 0.00 \\
& +Synthetic     & Train & 35{,}531 & 33{,}712 & 5.12 \\
&                & Dev   & 996      & 945      & 5.12 \\
\hline
\multirow{4}{*}{gn}
& Curated        & Train & 26{,}032 & 25{,}417 & 2.36 \\
&                & Dev   & 995      & 995      & 5.93 \\
& +Synthetic     & Train & 53{,}083 & 52{,}929 & 0.29 \\
&                & Dev   & 995      & 995      & 5.93 \\
\hline
\multirow{4}{*}{quy}
& Curated        & Train & 154{,}008 & 138{,}786 & 9.88 \\
&                & Dev   & 996       & 996       & 0.20 \\
& +Synthetic     & Train & 163{,}651 & 147{,}607 & 9.80 \\
&                & Dev   & 996       & 996       & 0.20 \\
\hline
\end{tabular}
\caption{Dataset statistics for Aymara (aym), Guarani (gn), and Quechua (quy) from the AmericasNLP~2023 shared task.
``Total'' denotes raw sentence pairs; ``Valid'' denotes pairs retained after preprocessing and filtering.
Synthetic data is added only to the training split.}
\label{tab:data_stats}
\end{table}
