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bespokelabsai avatar

bespokelabsai/curator

0
View on GitHub↗
1,637 stars·134 forks·Python·apache-2.0·12 viewsdocs.bespokelabs.ai/bespoke-curator↗

Curator

Features

  • Data Generation Frameworks - Builds synthetic data pipelines with batching and progress tracking.
  • Data Processing - Data curation for post-training and structured extraction.

Star history

Star history chart for bespokelabsai/curatorStar history chart for bespokelabsai/curator

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What are the main features of bespokelabsai/curator?

The main features of bespokelabsai/curator are: Data Generation Frameworks, Data Processing.

What are some open-source alternatives to bespokelabsai/curator?

Open-source alternatives to bespokelabsai/curator include: ibm/data-prep-kit — Open source project for data preparation for GenAI applications. argilla-io/distilabel — Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable… aimukhin/minfft — A minimalistic Fast Fourier Transform library. ankurchavda/sparklearning — A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an… antirez/smaz — Small strings compression library. allenai/olmocr — Olmocr is a distributed document processing framework designed to convert PDF and image files into structured…