awesome-nlp-polish
A curated list of resources for Natural Language Processing (NLP) in Polish, including datasets, models, and tools.
What is awesome-nlp-polish?
Awesome NLP Polish is a curated GitHub repository that aggregates resources for Natural Language Processing (NLP) in the Polish language. It provides a centralized list of datasets, pre-trained models, embeddings, libraries, and tools specifically tailored for Polish NLP tasks. The project aims to support developers and researchers by organizing essential materials that are often difficult to find.
Researchers, data scientists, and developers working on Natural Language Processing projects involving the Polish language, including those building models, analyzing text, or developing NLP applications for Polish.
It saves significant time and effort by compiling Polish NLP resources in one place, eliminating the need to search across multiple sources. The curated nature ensures quality and relevance, and the community-driven approach keeps the list updated with new tools and datasets.
Overview
A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.
Use Cases
Best For
- Finding Polish text datasets for model training
- Locating pre-trained Polish language models like HerBERT or PolBert
- Discovering Polish NLP libraries and tools (e.g., spaCy for Polish, Stanza)
- Accessing Polish word embeddings and evaluation benchmarks
- Researching Polish NLP through collected papers and articles
- Starting a Polish NLP project and needing a resource overview
Not Ideal For
- Teams needing a single, integrated Polish NLP library with consistent APIs and documentation
- Projects requiring commercial support, SLAs, or guaranteed updates for Polish language tools
- Developers looking for ready-to-use Polish NLP cloud services or APIs without manual integration
- Applications with strict licensing requirements that need vetted, uniform licenses across all resources
Pros & Cons
Pros
Aggregates scattered Polish NLP materials into one repository, with sections for datasets, models, and tools, saving researchers significant search time.
Exclusively targets Polish language resources, listing models like HerBERT and PolBert that address unique linguistic characteristics such as morphology.
Encourages contributions via pull requests and contact methods, helping keep the list current with new Polish NLP developments as noted in the contribution section.
Includes raw text corpora (e.g., OSCAR, Wikipedia dumps), task-oriented datasets (e.g., KLEJ benchmark), and tools (e.g., spaCy for Polish), catering to various NLP needs.
Cons
Only provides links to external resources without built-in tools or APIs, forcing users to manually download, configure, and integrate each component for their projects.
As a community-maintained list, it risks containing broken or outdated links if contributions slow down, requiring users to verify resource availability independently.
Lists resources from disparate sources without quality assessments or benchmarks, so users must evaluate each tool or dataset's suitability and performance on their own.
Frequently Asked Questions
Related Projects
NLP-progressRepository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Awesome NLP:book: A curated list of resources dedicated to Natural Language Processing (NLP)
awesome-chinese-nlpA curated list of resources for Chinese NLP 中文自然语言处理相关资料
nlp-datasetsAlphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.