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README.md
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GitHub homepage: https://github.com/yifanzhang-pro/AutoMathText
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ArXiv paper: https://huggingface.co/papers/2402.07625
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## Objective
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- data/code/python/0.95-1.00.jsonl
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- ...
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- data/code/python/0.50-0.55.jsonl
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- config_name: code-
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GitHub homepage: https://github.com/yifanzhang-pro/AutoMathText
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ArXiv paper: https://huggingface.co/papers/2402.07625 (https://arxiv.org/abs/2402.07625)
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## Objective
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- data/code/python/0.95-1.00.jsonl
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- ...
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- data/code/python/0.50-0.55.jsonl
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- config_name: code-python-0.60-to-1.00
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- config_name: code-python-0.70-to-1.00
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- config_name: code-python-0.80-to-1.00
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- config_name: code-jupyter-notebook-0.50-to-1.00
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- split: train
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path:
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- data/code/jupyter-notebook/0.95-1.00.jsonl
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- ...
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- data/code/jupyter-notebook/0.50-0.55.jsonl
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- config_name: code-jupyter-notebook-0.60-to-1.00
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- config_name: code-jupyter-notebook-0.70-to-1.00
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- config_name: code-jupyter-notebook-0.80-to-1.00
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- config_name: code-full
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data_files: data/code/*/*.jsonl
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```
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How to load data:
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```python
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from datasets import load_dataset
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ds = load_dataset("math-ai/AutoMathText", "web-0.50-to-1.00") # or any valid config_name
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```
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## Features
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- **Volume**: Approximately 200 GB of text data (in natural language and programming language).
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- **Content**: A diverse collection of mathematical texts, including but not limited to research papers, educational articles, and code documentation.
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- **Labeling**: Every text is **scored** by Qwen-72B, a sophisticated language model, ensuring a high standard of relevance and accuracy.
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- **Scope**: Covers a wide spectrum of mathematical topics, making it suitable for various applications in advanced research and education.
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## References
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- OpenWebMath [[link]](https://huggingface.co/datasets/open-web-math/open-web-math)
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- RedPajama [[link]](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T)
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- Algebraick Stack [[link]](https://huggingface.co/datasets/EleutherAI/proof-pile-2) (a subset of Proof-Pile-2)
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## Citation
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We appreciate your use of **AutoMathText** in your work. If you find this repository helpful, please consider citing it and star this repo. Feel free to contact [email protected] or open an issue if you have any questions (GitHub homepage: https://github.com/yifanzhang-pro/AutoMathText).
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```bibtex
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@article{zhang2024automathtext,
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title={Autonomous Data Selection with Language Models for Mathematical Texts},
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author={Zhang, Yifan and Luo, Yifan and Yuan, Yang and Yao, Andrew Chi-Chih},
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journal={arXiv preprint arXiv:2402.07625},
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year={2024},
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}
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```
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