Update README.md

README.md

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 # AudioSet
 
-AudioSet is a large-scale dataset comprising approximately 2 million 10-second YouTube audio clips, categorised into 527 sound classes. 
+AudioSet<sup>[1]</sup> is a large-scale dataset comprising approximately 2 million 10-second YouTube audio clips, categorised into 527 sound classes. 
 We have pre-processed all audio files to a 16 kHz sampling rate and stored them in the WebDataset format for efficient large-scale training and retrieval.
 
 ## Download
@@ -30,9 +30,10 @@ We have pre-processed all audio files to a 16 kHz sampling rate and stored them
 We recommend using the following commands to download the `confit/audioset-16khz-wds` dataset from HuggingFace. 
 The dataset is available in two versions:
 
- - balanced (20k): A smaller version with 20,550 clips for quick experimentation.
- - unbalanced (2m): The complete dataset with ~2 million clips.
- - eval (test): The test set with 18,886 clips.
+ - 20k (balanced): A smaller version with 20,550 clips for quick experimentation.
+ - 500k<sup>[2]</sup>: A (slightly more) balanced version with 497,982 clips for quick experimentation.
+ - 2m (unbalanced): The complete dataset with ~2 million clips.
+ - test (eval): The test set with 18,886 clips.
 
 > **_NOTE:_** Both the 20k (balanced) and 2m (unbalanced) versions share the same test set (eval).
 
@@ -88,6 +89,12 @@ Each sample in the dataset follows the WebDataset format, which includes the fol
 }
 ```
 
+## References
+
+[1] Gemmeke, J. F., Ellis, D. P., Freedman, D., Jansen, A., Lawrence, W., Moore, R. C., ... & Ritter, M. (2017, March). Audio set: An ontology and human-labeled dataset for audio events. In 2017 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 776-780). IEEE.
+
+[2] Nagrani, A., Yang, S., Arnab, A., Jansen, A., Schmid, C., & Sun, C. (2021). Attention bottlenecks for multimodal fusion. Advances in neural information processing systems, 34, 14200-14213.
+
 ## License and Usage Restrictions
 
 Please ensure compliance with YouTube's terms of service when using this dataset.