Update README.md

README.md

@@ -39,7 +39,7 @@ from huggingface_hub import snapshot_download
 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
+For more usage details, please refer to the GitHub repository: https://anonymous.4open.science/anonymize/neural_embeddings-6EE5
 
 
 ### Data Fields
@@ -51,13 +51,14 @@ For more usage details, please refer to the GitHub repository: https://github.co
 ### Human Datasets
 1. [**AMI**](https://groups.inf.ed.ac.uk/ami/corpus/): The AMI Meeting Corpus comprises 100 hours of multi-modal meeting recordings, including audio data for utterances, words, and vocal sounds, alongside detailed speaker metadata.
 2. [**TIMIT**](https://catalog.ldc.upenn.edu/LDC93S1): The TIMIT dataset contains manual phonetic transcriptions of utterances read by 630 English speakers with various dialects.
-3. [**VocImSet**](https://zenodo.org/records/1340763): The Vocal Imitation Set features recordings of 236 unique sound sources being imitated by 248 speakers.
+3. [**VocImSet**](https://zenodo.org/records/1340763): The Vocal Imitation Set contains recordings of 236 unique sound sources being imitated by 248 speakers.
+4. [**VocalSketch**](https://zenodo.org/records/1251982): The Vocal Sketch Dataset contains two sets of 10'705 and 5'700 imitations respectively of 240 sounds.
 
 ### Songbird Datasets
 
-1. [**Tomka**](https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/655689/2023.09.04.555475v1.full.pdf): The Gold-Standard Zebrafinch dataset contains 48,059 vocalizations of 36 vocalization types from 4 zebra finches.
-2. [**Nicholson**](https://figshare.com/articles/dataset/Bengalese_Finch_song_repository/4805749/9): The Bengalese finch song repository includes songs of four Bengalese finches recorded in the Sober lab at Emory University and manually clustered by two authors.
-3. [**DAS**](https://elifesciences.org/articles/68837): The Deep Audio Segmenter Dataset features single male Bengalese finch songs, including 473 vocalizations of 6 vocalization types.
+1. [**DAS**](https://elifesciences.org/articles/68837): The Deep Audio Segmenter Dataset features single male Bengalese finch songs, including 473 vocalizations of 6 vocalization types.
+2. [**Tomka**](https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/655689/2023.09.04.555475v1.full.pdf): The Gold-Standard Zebrafinch dataset contains 48,059 vocalizations of 36 vocalization types from 4 zebra finches.
+3. [**Nicholson**](https://figshare.com/articles/dataset/Bengalese_Finch_song_repository/4805749/9): The Bengalese finch song repository includes songs of four Bengalese finches recorded in the Sober lab at Emory University and manually clustered by two authors.
 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.