Skip to main content

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}
}

Release files for gyokusai 0.1.3

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 0.1.3
File Size Uploaded
gyokusai-0.1.3.tar.gz 26.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for gyokusai 0.1.3
File Interpreter ABI Platform
gyokusai-0.1.3-py3-none-any.whl Python 3 none any Details

Total release size: 69.3 kB

Release files / gyokusai-0.1.3.tar.gz

Download URL gyokusai-0.1.3.tar.gz
Size 26.8 kB
Tags Source
SHA-256 checksum
How to use checksums
d310ed15c522dfadb3416600c3e01af111fb2766bd06670c2e39b3cca9409e24
BLAKE2b-256 checksum
How to use checksums
3ffad7f5a9323c3c3f621eb8254a1c986e238ef33d060032d0821d3d3c795250
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.11.31 {"installer":{"name":"uv","version":"0.11.31","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-0.1.3-py3-none-any.whl

Download URL gyokusai-0.1.3-py3-none-any.whl
Size 42.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9986444caf487b58c320bf01ff8299b3f88ef1a6d13cbaa237012b17d4af9814
BLAKE2b-256 checksum
How to use checksums
f57843c037c62fc775d2958a2ba0aa9013440e6ff927113221fc020d1cb0899a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.11.31 {"installer":{"name":"uv","version":"0.11.31","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 history Release notifications | RSS feed

0.1.8

2 release files

0.1.7

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

This release

0.1.3 This release

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page