Update README.md

README.md

@@ -46,7 +46,7 @@ and a complementary paper (work in progress): https://arxiv.org/abs/2403.10380
 
 - We assemble a training dataset for each test dataset that is a subset of a complete Xeno-Canto (XC) snapshot. We extract all recordings that have vocalizations of the bird species appearing in the test dataset.
 - We use the .ogg format for every recording and a sampling rate of 32 kHz.
-- Each sample in the training dataset is a recording may have more than one vocalization of the corresponding bird species.
+- Each sample in the training dataset is a recording that may contain more than one vocalization of the corresponding bird species.
 - Each recording in the training datasets has a unique recordist and the corresponding license from XC. We omit all recordings from XC that are CC-ND.
 - The bird species are translated to ebird_codes
 - Snapshot date of XC: 03/10/2024