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Author:
Soham Bhattacharjee, Karun Sharma, Vinay Kumar Sankarapu, Pratinav Seth
Summary:
Data curation and synthetic data generation for LLM post-training — provenance-grounded quality gates, adaptive recovery, trainer-ready exports
Latest version:
0.1.22
Required dependencies:
pydantic
|
pyyaml
|
tqdm
|
typer
Optional dependencies:
build
|
check-wheel-contents
|
datasets
|
detect-secrets
|
detoxify
|
faiss-cpu
|
faker
|
huggingface-hub
|
litellm
|
mike
|
mineru
|
mkdocs-material
|
mkdocstrings
|
mypy
|
nest-asyncio
|
numpy
|
pre-commit
|
presidio-analyzer
|
presidio-anonymizer
|
pyarrow
|
pytest
|
pytest-asyncio
|
pytest-cov
|
pytest-timeout
|
ruff
|
sentence-transformers
|
spacy
|
tenacity
|
tiktoken
|
torch
|
transformers
|
trl
|
twine
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