Datasets:
Improve dataset card: Add associated papers, GitHub, project page links, and tags
Browse filesThis PR enhances the dataset card for Ultra-FineWeb by:
* Adding a link to the main MiniCPM4 paper ([https://huggingface.co/papers/2506.07900](https://huggingface.co/papers/2506.07900)), which describes the models trained using this dataset, and including its citation.
* Including a link to the associated GitHub repository ([https://github.com/openbmb/minicpm](https://github.com/openbmb/minicpm)).
* Adding a link to the MiniCPM4 Hugging Face collection ([https://huggingface.co/collections/openbmb/minicpm-4-6841ab29d180257e940baa9b)) as a project page.
* Adding descriptive tags (`llm`, `pretraining`, `web-corpus`, `data-filtering`, `high-quality`) for better discoverability.
README.md
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@@ -1,4 +1,19 @@
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---
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configs:
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- config_name: default
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data_files:
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dtype: float
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- name: source
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dtype: string
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task_categories:
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- text-generation
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language:
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- en
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- zh
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pretty_name: Ultra-FineWeb
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size_categories:
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- n>1T
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license: apache-2.0
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---
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# Ultra-FineWeb
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<div align="center">
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@@ -35,8 +42,7 @@ English | [简体中文]()
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<div align="center">
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[📜 Technical Report](https://arxiv.org/abs/2505.05427)
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<!-- | [💻 Github Repo]() -->
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</div>
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primaryClass={cs.CL},
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}
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```
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## 💳 License
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---
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language:
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- en
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- zh
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license: apache-2.0
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size_categories:
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- n>1T
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task_categories:
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- text-generation
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pretty_name: Ultra-FineWeb
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tags:
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- llm
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- pretraining
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- web-corpus
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- data-filtering
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- high-quality
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configs:
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- config_name: default
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data_files:
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dtype: float
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- name: source
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dtype: string
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---
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# Ultra-FineWeb
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<div align="center">
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<div align="center">
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[📜 Ultra-FineWeb Technical Report](https://arxiv.org/abs/2505.05427) | [📄 MiniCPM4 Paper](https://huggingface.co/papers/2506.07900) | [💻 GitHub Repository](https://github.com/openbmb/minicpm) | [🌐 MiniCPM4 Project Page](https://huggingface.co/collections/openbmb/minicpm-4-6841ab29d180257e940baa9b)
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</div>
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primaryClass={cs.CL},
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}
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```
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And the main paper where Ultra-FineWeb is used:
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```bibtex
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@article{minicpm4,
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title={MiniCPM4: Ultra-Efficient LLMs on End Devices},
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author={MiniCPM Team},
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year={2025}
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}
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```
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## 💳 License
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