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 # Dataset Card for "PiC: Phrase Retrieval"
 
 ## Table of Contents
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 ### Dataset Summary
 
-PR is a phrase retrieval task with the goal of finding a phrase **t** in a given document $\vd$ such that $\vt$ is semantically similar to the query phrase, which is the paraphrase $\vq_1$ provided by annotators.
-We release two versions of PR: \textbf{PR-pass} and *PR-page*, \ie datasets of 3-tuples (query $\vq_1$, target phrase $\vt$, document $\vd$) where $\vd$ is a random 11-sentence passage that contains $\vt$ or an entire Wikipedia page.
+PR is a phrase retrieval task with the goal of finding a phrase $\vt$ in a given document $\vd$ such that $\vt$ is semantically similar to the query phrase, which is the paraphrase $\vq_1$ provided by annotators.
+We release two versions of PR: \textbf{PR-pass} and \textbf{PR-page}, \ie datasets of 3-tuples (query $\vq_1$, target phrase $\vt$, document $\vd$) where $\vd$ is a random 11-sentence passage that contains $\vt$ or an entire Wikipedia page.
 While PR-pass contains 28,147 examples, PR-page contains slightly fewer examples (28,098) as we remove those trivial examples whose Wikipedia pages contain exactly the query phrase (in addition to the target phrase).
-Both datasets are split into 5K/3K/~20K for test/dev/train, respectively.
+Both datasets are split into 5K/3K/$\sim$20K for test/dev/train, respectively.
 
 ### Supported Tasks and Leaderboards