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 0.1.8
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-0.1.8.tar.gz | 37.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gyokusai-0.1.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 96.5 kB
Release files / gyokusai-0.1.8.tar.gz
| Download URL | gyokusai-0.1.8.tar.gz |
|---|---|
| Size | 37.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e15713ab6a9396c6df868476dc033027abff2012e022a10160531a69704d3e0d
|
|
BLAKE2b-256 checksum How to use checksums |
fde8b4bb8f85a1c68ef9ce8004c795c8f783b1d8f0b2cd90099c83dce6caac1d
|
| 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-0.1.8-py3-none-any.whl
| Download URL | gyokusai-0.1.8-py3-none-any.whl |
|---|---|
| Size | 58.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1aaf2735425d5ddd2472048f60b3fc7f797d41f7746eed587f129368abaee965
|
|
BLAKE2b-256 checksum How to use checksums |
4f68523eec6d3584f3a590556abe1ae417f705804eb2a3f74f1f0c0ef80eea8d
|
| 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}
|