Update README.md

README.md

@@ -150,9 +150,9 @@ a ClassLabel for the label and a ClassLabel for the class.
  'domain': 0 (source)
  'label': 0 (normal)
  'class': 1 (fan)
- 'ast-finetuned-audioset-10-10-0.4593-embeddings': [[0.8152204155921936,
+ 'ast-finetuned-audioset-10-10-0.4593-embeddings': [0.8152204155921936,
    1.5862374305725098, ...,   
-   1.7154160737991333]]
+   1.7154160737991333]
 }
 ```
 
@@ -168,7 +168,7 @@ The length of each audio file is 10 seconds.
 - `domain`: an integer whose value may be either _0_, indicating that the audio sample is from the _source_ domain, _1_, indicating that the audio sample is from the _target_.
 - `class`: an integer as class label.
 - `label`: an integer whose value may be either _0_, indicating that the audio sample is _normal_, _1_, indicating that the audio sample contains an _anomaly_.
-- `ast-finetuned-audioset-10-10-0.4593-embeddings`: an `datasets.Array2D` representing audio embeddings that are generated with the [Audio Spectrogram Transformer](https://huggingface.co/docs/transformers/model_doc/audio-spectrogram-transformer#transformers.ASTFeatureExtractor).
+- `ast-finetuned-audioset-10-10-0.4593-embeddings`: an `datasets.Sequence(Value("float32"))` representing audio embeddings that are generated with an [Audio Spectrogram Transformer](https://huggingface.co/docs/transformers/model_doc/audio-spectrogram-transformer#transformers.ASTFeatureExtractor).
 
 ### Data Splits