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๐Ÿค– Build complex LLM datasets with Torque's typesafe DSL to efficiently compose conversations and generate realistic variations across any AI model.

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๐Ÿš€ torque - Build Your Own Synthetic Datasets Easily

๐ŸŒŸ Table of Contents

  1. ๐ŸŒ Introduction
  2. ๐Ÿ“ฅ Download & Install
  3. โš™๏ธ Features
  4. ๐Ÿ› ๏ธ Usage
  5. ๐Ÿ’ป System Requirements
  6. ๐Ÿ”ง Support

๐ŸŒ Introduction

Torque is a simple tool that helps you create synthetic datasets for large language models (LLMs). It uses a declarative and typesafe Domain-Specific Language (DSL) which makes it easy to compose conversations just like you would with React components. Whether you want to generate data for testing or training, Torque provides a straightforward way to build what you need.

๐Ÿ“ฅ Download & Install

To get started, visit this page to download the latest version of Torque: Download Torque.

You can find various versions available for download based on your needs. Choose the version that suits your platform, and follow these steps:

  1. Click the link above to go to the Releases page.
  2. Select the version you wish to download.
  3. Click on the appropriate file for your system.
  4. Wait for the download to finish.
  5. Locate the downloaded file on your computer and run it.

โš™๏ธ Features

  • Declarative Syntax: Create datasets using clear and simple syntax.
  • Typesafe: Reduce errors with a typesafe design.
  • Reusable Templates: Save and reuse data structures for different datasets.
  • Integration Options: Easily work with other data tools.
  • Open Source: Contribute to the community and customize as needed.

๐Ÿ› ๏ธ Usage

After installing Torque, you can start building datasets. Hereโ€™s a simple example to help you get started:

  1. Open the Torque application.
  2. Begin by defining a conversation structure:
    conversation = {
        user: "Hi there!",
        bot: "Hello! How can I assist you today?",
    };
  3. You can quickly add more dialogue to this structure.
  4. Once done, export the dataset in various formats.

Experiment with different scenarios and datasets. For additional examples, refer to the documentation included with your download.

๐Ÿ’ป System Requirements

To run Torque on your device, make sure you meet the following requirements:

  • Operating System: Windows 10 or newer, macOS Catalina or newer, or a recent Linux distribution.
  • Memory: At least 4 GB of RAM.
  • Storage: Minimum of 200 MB free storage space.
  • Processor: Dual-core processor or better.

Ensure your system meets these specifications for a smooth experience.

๐Ÿ”ง Support

If you encounter any issues or have questions, we are here to help. Here are some ways to get support:

  • GitHub Issues: Post a question or report an issue on our GitHub issues page.
  • Community Forum: Join discussions and ask for help from other users in the community forum.
  • Documentation: Refer to the documentation provided with the software for quick reference.

Thank you for trying out Torque! We hope you find it valuable for your data generation needs.

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๐Ÿค– Build complex LLM datasets with Torque's typesafe DSL to efficiently compose conversations and generate realistic variations across any AI model.

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