Overview
Curator is an open-source data preprocessing toolkit from NVIDIA's NeMo team, designed for large language model (LLM) training. It enables developers to efficiently extract high-quality data from raw corpora, improving training outcomes.
Core Features
- Text cleaning: removes noise and irrelevant content.
- Quality filtering: selects high-quality samples based on rules or models.
- Deduplication: eliminates duplicate data to reduce redundancy.
Technology Stack
The project is primarily written in Python, but its core components are rewritten in Rust for superior performance. This hybrid design combines Python's ease of use with Rust's high efficiency.
License
Curator is licensed under Apache-2.0, allowing free use and modification.
Getting Started
According to the README summary, Curator is designed as a modular pipeline that integrates seamlessly into existing data processing flows. For detailed installation and usage instructions, please refer to the official documentation.










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