{"id":15418665,"url":"https://github.com/voidful/nlprep","last_synced_at":"2025-04-12T14:03:09.588Z","repository":{"id":57446347,"uuid":"241370682","full_name":"voidful/NLPrep","owner":"voidful","description":"🍳 NLPrep - dataset tool for many natural language processing 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align=\"center\"\u003e\n    \u003cbr\u003e\n    \u003cimg src=\"https://raw.githubusercontent.com/voidful/NLPrep/master/docs/img/nlprep.png\" width=\"400\"/\u003e\n    \u003cbr\u003e\n\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n    \u003ca href=\"https://pypi.org/project/nlprep/\"\u003e\n        \u003cimg alt=\"PyPI\" src=\"https://img.shields.io/pypi/v/nlprep\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://github.com/voidful/NLPrep\"\u003e\n        \u003cimg alt=\"Download\" src=\"https://img.shields.io/pypi/dm/nlprep\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://github.com/voidful/NLPrep\"\u003e\n        \u003cimg alt=\"Build\" src=\"https://img.shields.io/github/workflow/status/voidful/NLPrep/Python package\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://github.com/voidful/NLPrep\"\u003e\n        \u003cimg alt=\"Last Commit\" src=\"https://img.shields.io/github/last-commit/voidful/NLPrep\"\u003e\n    \u003c/a\u003e\n\u003c/p\u003e\n\n## Feature  \n- handle over 100 dataset  \n- generate statistic report about processed dataset  \n- support many pre-processing ways  \n- Provide a panel for entering your parameters at runtime  \n- easy to adapt your own dataset and pre-processing utility  \n\n# Online Explorer\n[https://voidful.github.io/NLPrep-Datasets/](https://voidful.github.io/NLPrep-Datasets/)   \n\n# Documentation\nLearn more from the [docs](https://voidful.github.io/NLPrep/).  \n\n## Quick Start\n### Installing via pip\n```bash\npip install nlprep\n```\n### get one of the dataset\n```bash\nnlprep --dataset clas_udicstm --outdir sentiment\n```\n\n**You can also try nlprep in Google Colab: [![Google Colab](https://colab.research.google.com/assets/colab-badge.svg \"nlprep\")](https://colab.research.google.com/drive/1EfVXa0O1gtTZ1xEAPDyvXMnyjcHxO7Jk?usp=sharing)**\n\n## Overview\n```\n$ nlprep\narguments:\n  --dataset     which dataset to use     \n  --outdir      processed result output directory       \n  \noptional arguments:\n  -h, --help    show this help message and exit\n  --util        data preprocessing utility, multiple utility are supported \n  --cachedir    dir for caching raw dataset\n  --infile      local dataset path\n  --report      generate a html statistics report\n```\n\n## Contributing\nThanks for your interest.There are many ways to contribute to this project. Get started [here](https://github.com/voidful/nlprep/blob/master/CONTRIBUTING.md).\n\n## License ![PyPI - License](https://img.shields.io/github/license/voidful/nlprep)\n\n* [License](https://github.com/voidful/nlprep/blob/master/LICENSE)\n\n## Icons reference\nIcons modify from \u003ca href=\"https://www.flaticon.com/authors/darius-dan\" title=\"Darius Dan\"\u003eDarius Dan\u003c/a\u003e from \u003ca href=\"https://www.flaticon.com/\" title=\"Flaticon\"\u003ewww.flaticon.com\u003c/a\u003e    \nIcons modify from \u003ca href=\"https://www.flaticon.com/authors/freepik\" title=\"Freepik\"\u003eFreepik\u003c/a\u003e from \u003ca href=\"https://www.flaticon.com/\" title=\"Flaticon\"\u003ewww.flaticon.com\u003c/a\u003e    \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvoidful%2Fnlprep","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvoidful%2Fnlprep","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvoidful%2Fnlprep/lists"}