Update README.md

README.md

@@ -31,18 +31,12 @@ configs:
 ---
 ### Dataset Description
 
->
-> **Benchmarking embeddings for retrieval and discrimination of vocalizations in humans and songbirds**
-> 
-> Maris Basha<sup>1,2</sup>, Sabine Stoll<sup>1</sup>, Richard H. R. Hahnloser<sup>1,2</sup> <br>
-> University of Zurich<sup>1</sup> and ETH Zurich<sup>2</sup>
-
 This multi-species dataset was customized to benchmark k-NN retrieval and cluster separation tecniques on Human and Songbird vocalizations.
 
 ## Download Dataset
 ```python
 from huggingface_hub import snapshot_download
-snapshot_download('songbirdini/vocsim', local_dir = "data/vocsim", repo_type="dataset" )
+snapshot_download('anonymous-submission000/vocsim', local_dir = "data/vocsim", repo_type="dataset" )
 ```
 
 For more usage details, please refer to the GitHub repository: https://github.com/marisbasha/neural_embeddings
@@ -67,5 +61,4 @@ For more usage details, please refer to the GitHub repository: https://github.co
 4. [**Elie**](https://figshare.com/articles/dataset/Vocal_repertoires_from_adult_and_chick_male_and_female_zebra_finches_Taeniopygia_guttata_/11905533/1): Vocal repertoires from zebra finches, collected between 2011 and 2014 at the University of California Berkeley by Julie E Elie. This dataset contains 3,500 vocalizations from 50 individuals and 65 vocalization types.
 
 
-## Contact
-maris@ini.ethz.ch
+## Contact