datasets-toolbox 0.1.0

A toolbox for audio dataset processing and augmentation.

Datasets Toolbox

A toolbox for creating, processing and inspecting audio/image datasets through a simple CLI interface.

Installation

pip install datasets-toolbox

Usage

The goal of datasets-toolbox is to build audio/image datasets with CLI.

All the commands support --config [config-name] and --split [split-name] options to specified the target. Where config-name is the configuration name (e.g. language) and split-name is something like train, validation, test.

Add More Data

datasets import --config [data] --split [train] <sources>

Import data into datasets structure.

If the configuration/split is not configured, will defaults to default configuration and train split.

Modify Dataset

datasets modify <action> --config [data] --split [train] --other-params

If the configuration/split is not configured, will defaults to recursively run on all configurations and all splits.

Audio Slicer

datasets modify slice --config [data] --split [train] --min-length [ms] --hop-size [n]

Audio Resample

datasets modify resample --config [data] --split [train] --sr [16000] --mono

Audio Transcription

datasets modify transcribe --model [openai/whisper-large-v3-turbo]'

Inspect Dataset

datasets inspect --config [data] --split [train] --other-params

If the configuration/split is not configured, will defaults to recursively run on all configurations and all splits.

Audio Hours

datasets inspect hours --config [data] --split [train]