Update benchmark description

Author: szarnyasg

data.tex

@@ -24,9 +24,10 @@ \section{Data Schema}
 friendship relations established with other persons, and the sharing of content
 such as Messages (both textual and images), replies to Messages and likes to
 Messages.  People form groups to talk about specific topics, which are
-represented as Tags\footnote{Tags are basically equivalent to \emph{hashtags}
-on contemporary social media sites. In this document, we occasionally use the term
-\emph{topic} to refer to tags}. An example graph conforming the SNB schema is shown in \autoref{sec:example-graph}.
+represented as Tags\footnote{Tags are similar to \emph{hashtags}
+on contemporary social media sites (see \url{https://en.wikipedia.org/wiki/Hashtag}). In this document, we occasionally use the term
+\emph{topic} to refer to tags.}.
+An example graph conforming the SNB schema is shown in \autoref{sec:example-graph}.
 
 \ldbcsnb has been designed to be flexible and to target systems of different
 nature and characteristics. As such, it does not force any particular internal

introduction.tex

@@ -214,6 +214,7 @@ \section{Related Projects}
 \begin{itemize}
 	\item The Semantic Publishing Benchmark (SPB)~\cite{DBLP:conf/semweb/SpasicJP16} measures the performance of \emph{semantic databases} operating on RDF datasets.
 	\item The Graphalytics benchmark~\cite{DBLP:journals/pvldb/IosupHNHPMCCSAT16} measures the performance of \emph{graph analysis} operations (\eg PageRank, local clustering coefficient).
+	\item The Financial benchmark (FinBench) suite is set in the financial domain with multiple planned workloads. Currently, the \emph{Transactional} workload is available, which focuses on low-latency operations.
 \end{itemize}
 
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legacy-data-sets.tex

@@ -16,7 +16,7 @@ \chapter{Legacy Data Sets for the Interactive workload}
     \texttt{csv\_merge\_foreign},
     \texttt{csv\_merge\_foreign-longdateformatter},
     \texttt{ttl}
-  \item Partition numbers: $2^k$ (1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024) and $6 \times 2^k$ (24, 48, 96, 192, 384, 768).
+  \item Partition numbers: $2^k$ (1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024) and $6 \times 2^k$ (12, 24, 48, 96, 192, 384, 768).
 \end{itemize}
 
 The \textbf{key differences from the latest (BI and Interactive v2) data sets} are the following: