Datasets:
metadata
license: openrail
dataset_info:
features:
- name: file
dtype: string
- name: audio
struct:
- name: bytes
dtype: binary
- name: path
dtype: 'null'
- 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: 2139150771
num_examples: 60973
download_size: 2095276737
dataset_size: 2139150771
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.