---
license: openrail
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: label
    dtype: int64
  - name: is_unknown
    dtype: bool
  - name: speaker_id
    dtype: string
  - name: utterance_id
    dtype: int8
  - name: logits
    sequence: float32
  - name: Probability
    dtype: float64
  - name: Predicted Label
    dtype: string
  - name: Annotated Labels
    dtype: string
  - name: embedding
    sequence: float32
  - name: embedding_reduced
    sequence: float32
  splits:
  - name: train
    num_bytes: 2137341907.375
    num_examples: 60973
  download_size: 2094280286
  dataset_size: 2137341907.375
---

This dataset is an extended version of the MIT/ast-finetuned-speech-commands-v2 dataset.
It provides predicted labels,  their annotations and embeddings, trained with Huggingface's AutoModel and 
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.