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 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gyokusai-0.1.5.tar.gz | 33.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gyokusai-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 86.4 kB
Release files / gyokusai-0.1.5.tar.gz
| Download URL | gyokusai-0.1.5.tar.gz |
|---|---|
| Size | 33.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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| 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-0.1.5-py3-none-any.whl
| Download URL | gyokusai-0.1.5-py3-none-any.whl |
|---|---|
| Size | 53.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e1f058f3d393ed3091a5cf778d11fdfc36fbda0b32066d320bc0752ded63a044
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| 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}
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