This is the Linux app named Bespoke Curator whose latest release can be downloaded as v0.1.31sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Bespoke Curator
DESCRIPTION
Curator is an open-source Python library designed to build synthetic data pipelines for training and evaluating machine learning models, particularly large language models. The system helps developers generate, transform, and curate high-quality datasets by combining automated generation with structured validation and filtering. It supports workflows where models are used to produce synthetic examples that can later be refined into reliable training datasets for reasoning, question answering, or structured information extraction tasks. Curator includes tools for monitoring data generation processes and managing dataset quality while large batches of examples are being created. The framework also integrates with multiple inference systems and APIs, allowing users to generate data using different model providers or open-source inference engines.
Features
- Python library for creating synthetic training data pipelines
- Support for structured output generation and dataset formatting
- Interactive viewer for monitoring data generation workflows
- Integration with multiple inference engines and APIs
- Asynchronous processing and caching for large-scale pipelines
- Fault-tolerant dataset generation and recovery mechanisms
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/bespoke-curator.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
