amazon-science/synthesizrr
Synthesizing realistic and diverse text-datasets from augmented LLMs
Combines retrieval-augmented generation with LLM-based data synthesis to create diverse training datasets, using spaCy and NLTK for linguistic processing. Distributes computation across Ray clusters with support for large external corpora stored on S3, enabling scalable generation of realistic text examples conditioned on retrieved context.
Stars
16
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 26, 2026
Commits (30d)
0
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