

Unitxt
Overview :
Unitxt is an innovative library tailored for generative language models, specializing in customized textual data preparation and evaluation. natively integrated with popular libraries like HuggingFace and LM-eval-harness, Unitxt breaks down the processing workflow into modular components, enabling easy customization and sharing. These components include comprehensive dataset handling definitions for model-specific formats, task prompts, and more. Unitxt-Catalog centralizes these components, promoting collaboration and exploration within modern text data workflows. Beyond a tool, Unitxt is a community-driven platform, empowering users to collaborate on building, sharing, and advancing their data pipelines.
Target Users :
Unitxt is designed for researchers and practitioners to customize textual data preparation and evaluation, fostering collaboration and exploration.
Use Cases
Researchers use Unitxt to customize text data for training generative language models.
Data scientists use Unitxt to evaluate the performance of generative AI models.
Developers use Unitxt to build modularized text data processing workflows.
Features
Modularized text data processing workflow
Native integration with libraries like HuggingFace and LM-eval-harness
Handling of model-specific formats and task prompts
Unitxt-Catalog centralizes components, fostering collaboration and exploration
Community-driven platform enabling collaborative building and sharing
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