Update README.md

README.md

@@ -17,6 +17,7 @@ We present the BirdSet benchmark that covers a comprehensive range of classifica
 We offer a static set of evaluation datasets and a varied collection of training datasets, enabling the application of diverse methodologies.
 
 |                                     | train   |    test    | test_5s |  size (GB) |   #classes   |
+|                                     | #recordings |         |        |             |             |
 |-------------------------------------|--------:|-----------:|--------:|-----------:|-------------:|
 | [PER][1] (Amazon Basin)             |  16,802 |     14,798 |  15,120 |   10.5     |     132      |
 | [NES][2] (Colombia Costa Rica)      |  16,117 |      6,952 |  24,480 |   14.2     |      89      |
@@ -39,7 +40,7 @@ We offer a static set of evaluation datasets and a varied collection of training
 [8]:  https://zenodo.org/records/7050014
 [9]:  https://xeno-canto.org/
 [10]: https://xeno-canto.org
-/
+
 ##### Train
 - Exclusively using focal audio data from Xeno-Canto (XC) with quality ratings A, B, C and excluding all recordings that are CC-ND.
 - Each dataset is tailored for specific target species identified in soundscape files.