GitHub Release: WizardSData v0.1.2
Overview
Version 0.1.2 of WizardSData introduces new templates for financial retail banking scenarios, expanded profile datasets, and bug fixes to improve dataset generation.
What's New
Added
- New Financial Retail Banking Template: Enhanced conversation generation with specialized templates for diverse banking scenarios, available in
/templates/financial_retail_banking/prompts/ - Expanded Profile Dataset: Added 160 comprehensive profiles for retail banking covering multiple topics like mortgages, investments, savings, and insurance in
/templates/financial_retail_banking/profiles/ - Complete Generated Dataset: Included a full dataset with 1700 rows spanning 320 unique conversations in
/templates/financial_retail_banking/outputs/
Fixed
- Topic Storage: Topic information is now properly stored in generated datasets, making categorization and filtering easier
- Sequence Numbering: Fixed sequence number progression in dataset generation for more accurate conversation tracking
Getting Started
To use the new templates, update to the latest version:
pip install --upgrade wizardsdataDocumentation
For detailed usage of the new templates, please refer to the documentation at: https://peremartra.github.io/WizardSData/
Feedback
If you encounter any issues or have suggestions for improvement, please file an issue on the GitHub repository.
Thank you for using WizardSData! This release continues our mission to provide high-quality synthetic conversation datasets for training and evaluating language models.