Installation

uv add gyokusai

ruff check --select I --fix . && ruff format .

@software{shippole2026gyokusai,
  title        = {Gyokusai: A Web-Scale Text Processing Library},
  author       = {Shippole, Enrico and Hu, Andrew and Li, Owen and Huang, Thomas and Jitsev, Jenia},
  year         = {2026},
  url          = {https://github.com/teraflop-ai/gyokusai},
  version      = {0.1.1},
  note         = {Python package available on PyPI at \url{https://pypi.org/project/gyokusai/}}
}

@misc{paster2023openwebmath,
    title={OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text},
    author={Keiran Paster and Marco Dos Santos and Zhangir Azerbayev and Jimmy Ba},
    year={2023},
    eprint={2310.06786},
    archivePrefix={arXiv},
    primaryClass={cs.AI}
}

@misc{nemo_curator,
  title = {NeMo Curator: GPU-Accelerated Data Curation for Training AI Models},
  author = {NVIDIA},
  year = {2024},
  url = {https://github.com/NVIDIA-NeMo/Curator}
}

@article{parmar2024nemotron4,
  title = {Nemotron-4 15B Technical Report},
  author = {Parmar, Jupinder and Satheesh, Shrimai and others},
  journal = {arXiv preprint arXiv:2402.16819},
  year = {2024}
}

Metadata

Release files for gyokusai 0.1.12

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gyokusai 0.1.12
File	Size	Uploaded
gyokusai-0.1.12.tar.gz	38.4 kB	Sep 27, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for gyokusai 0.1.12
File	Interpreter	ABI	Platform	Reset
gyokusai-0.1.12-py3-none-any.whl 58.0 kB Sep 27, 2026	Python 3	none	any	Details

Total release size: 96.5 kB

Release files / gyokusai-0.1.12.tar.gz

Download URL	gyokusai-0.1.12.tar.gz
Size	38.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`136982f22499ae9d48e997599a38e0a6cd3a554923fa92d7296d3d0e9a9a8542`
BLAKE2b-256 checksum How to use checksums	`943853e0590f7a2f8e81b9d3e3de894dc29394053f07c7dd40ef02753b3304d0`
Upload date	Sep 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.12.19 {"installer":{"name":"uv","version":"0.12.19","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"22.04","id":"jammy","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}`

Release files / gyokusai-0.1.12-py3-none-any.whl

Download URL	gyokusai-0.1.12-py3-none-any.whl
Size	58.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`f818580282816359ab4d86665641478edcdf9500630cb063189a53e4170fc226`
BLAKE2b-256 checksum How to use checksums	`fea31b17b1eeafbc7e28f0119f937f52df3b32deacd0866fb424134e7eda4888`
Upload date	Sep 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.12.19 {"installer":{"name":"uv","version":"0.12.19","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"22.04","id":"jammy","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}`