| Name | datasets-toolbox JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | A toolbox for audio dataset processing and augmentation. |
| upload_time | 2024-11-02 08:10:56 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT |
| keywords |
datasets
cli
audio
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Datasets Toolbox
A toolbox for creating, processing and inspecting audio/image datasets through a simple CLI interface.
## Installation
```sh
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]`
Raw data
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"description": "# Datasets Toolbox\n\nA toolbox for creating, processing and inspecting audio/image datasets through a simple CLI interface.\n\n## Installation\n\n```sh\npip install datasets-toolbox\n```\n\n## Usage\n\nThe goal of datasets-toolbox is to build audio/image datasets with CLI.\n\nAll 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`.\n\n### Add More Data\n\n`datasets import --config [data] --split [train] <sources>`\n\nImport data into datasets structure.\n\nIf the configuration/split is not configured, will defaults to `default` configuration and `train` split.\n\n### Modify Dataset\n\n`datasets modify <action> --config [data] --split [train] --other-params`\n\nIf the configuration/split is not configured, will defaults to recursively run on all configurations and all splits.\n\n#### Audio Slicer\n\n`datasets modify slice --config [data] --split [train] --min-length [ms] --hop-size [n]`\n\n#### Audio Resample\n\n`datasets modify resample --config [data] --split [train] --sr [16000] --mono`\n\n#### Audio Transcription\n\n`datasets modify transcribe --model [openai/whisper-large-v3-turbo]'`\n\n### Inspect Dataset\n\n`datasets inspect --config [data] --split [train] --other-params`\n\nIf the configuration/split is not configured, will defaults to recursively run on all configurations and all splits.\n\n#### Audio Hours\n\n`datasets inspect hours --config [data] --split [train]`\n",
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