Update README.md

README.md

@@ -31,7 +31,7 @@ and a complementary paper (work in progress): https://arxiv.org/abs/2403.10380
 | [SSW][7] (Sapsucker Woods)     |  28,403 |     50,760 |  205,200|   35.2     |      81      |
 | [SNE][8] (Sierra Nevada)       |  19,390 |     20,147 |  23,756 |   20.8     |      56      |
 | [XCM][9] (Xenocanto Subset M)  |  89,798 |       x    |     x   |   89.3     |      409     |
-| [XCL][10](Xenocanto Complete)  |  528,434|       x    |     x   |   484      |      9,734   |
+| [XCL][10] (Xenocanto Complete) |  528,434|       x    |     x   |   484      |      9,734   |
 
 [1]:  https://zenodo.org/records/7079124
 [2]:  https://zenodo.org/records/7525349
@@ -45,6 +45,7 @@ and a complementary paper (work in progress): https://arxiv.org/abs/2403.10380
 [10]: https://xeno-canto.org
 
 - 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.
+- The focal training datasets or soundscape test datasets components can be individually accessed using the identifiers **NAME_xc** and **NAME_scape**, respectively (e.g., **HSN_xc** for the focal part and **HSN_scape** for the soundscape).
 - We use the .ogg format for every recording and a sampling rate of 32 kHz.
 - 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.