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--- |
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license: openrail |
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dataset_info: |
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features: |
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- name: full_audio |
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dtype: audio |
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- name: label |
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dtype: int64 |
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- name: is_unknown |
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dtype: bool |
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- name: speaker_id |
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dtype: string |
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- name: utterance_id |
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dtype: int8 |
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- name: logits |
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sequence: float32 |
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- name: Probability |
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dtype: float64 |
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- name: Predicted Label |
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dtype: string |
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- name: Annotated Labels |
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dtype: string |
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- name: embedding |
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sequence: float32 |
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- name: embedding_reduced |
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sequence: float64 |
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splits: |
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- name: train |
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num_bytes: 1774663023.432 |
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num_examples: 51093 |
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download_size: 1701177850 |
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dataset_size: 1774663023.432 |
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--- |
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This dataset is an extended version of the MIT/ast-finetuned-speech-commands-v2 dataset. |
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It provides predicted labels, their annotations and embeddings, trained with Huggingface's AutoModel and |
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AutoFeatureExtractor. If you would like to have a closer look at the dataset and model's performance, you can use Spotlight by Renumics to find complex sub-relationships between classes. |
