Add metadata, paper link, and project information
Browse filesHi! I'm Niels, part of the community science team at Hugging Face. I've improved the dataset card by adding relevant metadata (language, task category, and license) and linking the repository to the associated research paper, project page, and GitHub repository. This will help researchers find and cite your work more easily.
README.md
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```bibtex
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@article{steuerllm,
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---
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language:
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- de
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license: other
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task_categories:
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- text-generation
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---
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# SteuerLLM Pretraining Dataset
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[Project page](https://steuerllm.i5.ai.fau.de) | [Paper](https://arxiv.org/abs/2602.11081) | [GitHub](https://github.com/windprak/steuerllm)
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Pretraining Dataset for German Tax Law filtered from FineWeb. This dataset was used for the continual pretraining stage of **SteuerLLM**, a specialized large language model for German tax law analysis.
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## Dataset Description
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The SteuerLLM pretraining dataset is a domain-specific subset filtered from large-scale web corpora. It focuses on identifying and extracting tax-related content from German web data to adapt base model representations to the specific terminology, precise legal terminology, and structure of German tax legislation.
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For more information on the model and the full pipeline, please visit the [GitHub repository](https://github.com/windprak/steuerllm).
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## Citation
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```bibtex
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@article{steuerllm,
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