https://github.com/wasertech/verified_sentences_stt

Verified sentenced for STT uses, by Data Manger.
https://github.com/wasertech/verified_sentences_stt

Last synced: 6 days ago
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Verified sentenced for STT uses, by Data Manger.

• Host: GitHub
• URL: https://github.com/wasertech/verified_sentences_stt
• Owner: wasertech
• License: gpl-3.0
• Created: 2022-10-16T00:39:13.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-01-22T12:38:18.000Z (almost 2 years ago)
• Last Synced: 2024-10-30T06:40:40.420Z (about 2 months ago)
• Size: 1.63 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

        
# Verified Sentences for STT

Verified sentences for STT uses, by Data Manager.

## Small sample

Using the [Training Wizard for STT](https://gitlab.com/waser-technologies/models/en/stt/-/blob/master/model.train), 

Users are presented with some sentences from the NLU data.

Their role is to determine if the sentences can be used to train a language model for STT.

If a sentence is usable, then it is accepted (`true += 1`).

Else it is rejected (`false += 1`).

At the end of the process users can share their results.

They look like so.

```toml

# reviews.toml

["can you lookup something for me please"]

true = 1

false = 0

lang = ["en",]

["answer me this"]

true = 1

false = 0

lang = ["en",]

[ddgr]

true = 0

false = 1

lang = ["en",]

```

To find if any sentence is valid, get the boolean with the highest count.

Checkout [`reviews.toml`](reviews.toml) to see everything.

`lang` is a list of languages the sentences has been or not verified

## Usage

This data can be used to quickly train a language model for STT applications (such as [Assistant](https://gitlab.com/waser-technologies/technologies/assistant)). It can also be used to train a classifier to automate even more the process.

Using the Training Wizard, you can pull requests automatically once you are done validating your data.