Update README.md

README.md

@@ -12,11 +12,23 @@ tags:
 - **Paper:** [GADME](https://arxiv.org/)
 - **Point of Contact:** [Lukas Rauch](mailto:lukas.rauch@uni-kassel.de) 
 
-### Dataset Summary
-We present the GADME benchmark that covers a comprehensive range of avian monitoring datasets. 
-We offer a static set of evaluation datasets and a varied collection of training datasets, enabling the application of diverse methodologies
-
 ### Datasets
+We present the BirdSet benchmark that covers a comprehensive range of classification datasets in avian bioacoustics. 
+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   |
+|------------------------------------------------------------------|--------:|-----------:|--------:|-----------:|-------------:|
+| [PER](https://zenodo.org/records/7079124) (Amazon Basin)         |  16,802 |     14,798 |  15,120 |   10.5     |     132      |
+| [NES](https://zenodo.org/records/7525349) (Colombia Costa Rica)  |  16,117 |      6,952 |  24,480 |   14.2     |      89      |
+| [UHH](https://zenodo.org/records/7078499) (Hawaiian Islands)     |  3,626  |     59,583 |  36,637 |   4.92     | 25 tr, 27 te |
+| [HSN](https://zenodo.org/records/7525805) (high_sierras)         |  5,460  |     10,296 |  12,000 |   5.92     |      21      |
+| [NBP](https://github.com/fbravosanchez/NIPS4Bplus) (NIPS4BPlus)  |  24,327 |      5,493 |     563 |   29.9     |      51      |
+| [POW](https://zenodo.org/records/4656848) (Powdermill Nature)    |  14,911 |     16,052 |   4,560 |   15.7     |      48      |
+| [SSW](https://zenodo.org/records/7018484) (Sapsucker Woods)      |  28,403 |     50,760 |  205,200|   35.2     |      81      |
+| [SNE](https://zenodo.org/records/7050014) (Sierra Nevada)        |  19,390 |     20,147 |  23,756 |   20.8     |      56      |
+| [XCM](https://xeno-canto.org/) (Xenocanto Subset M)              |  89,798 |       x    |     x   |   89.3     |    409       |
+| [XCL](https://xeno-canto.org/) (Xenocanto Subset Complete)       |  528,434|       x    |     x   |   484      |   9,734      |
+
     
 ##### Train
 - Exclusively using focal audio data from Xeno-Canto (XC) with quality ratings A, B, C and excluding all recordings that are CC-ND.
@@ -40,18 +52,6 @@ We offer a static set of evaluation datasets and a varied collection of training
 
 Numbers need to be updated
 
-|                            | train   |    test    | test_5s |  size (GB) |   #classes   |
-|----------------------------|--------:|-----------:|--------:|-----------:|-------------:|
-| HSN (high_sierras)         |  5,460  |     10,296 |  12,000 |   5.92     |      21      |
-| NBP (nips)                 |  24,327 |      5,493 |     563 |   29.9     |      51      |
-| NES (columbia_costa_rica)  |  16,117 |      6,952 |  24,480 |   14.2     |      89      |
-| PER (amazon_basin)         |  16,802 |     14,798 |  15,120 |   10.5     |     132      |
-| POW (powdermill_nature)    |  14,911 |     16,052 |   4,560 |   15.7     |      48      |
-| SNE (sierra_nevada)        |  19,390 |     20,147 |  23,756 |   20.8     |      56      |
-| SSW (sapsucker_woods)      |  28,403 |     50,760 |  205,200|   35.2     |      81      |
-| UHH (hawaiian_islands)     |  3,626  |     59,583 |  36,637 |   4.92     | 25 tr, 27 te |
-| XCM (xenocanto)            |  89,798 |       x    |     x   |   89.3     |    409       |
-| XCL (xenocanto)            |  528,434|       x    |     x   |   484      |   9,734      |
 
 #### FEATURES