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--- |
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license: odc-by |
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size_categories: |
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- 1B<n<10B |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/* |
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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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pretty_name: open-web-math-pro |
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--- |
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# 📚 Open-Web-Math-Pro |
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## Dataset Description |
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- **Repository:** [gair-prox/open-web-math-pro](https://huggingface.co/datasets/gair-prox/open-web-math-pro) |
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### Dataset Summary |
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OpenWebMath-Pro is a large-scale dataset of mathematical text derived from web sources. It contains high-quality mathematical content curated and processed for training language models on mathematical tasks. |
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### Supported Tasks and Leaderboards |
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The dataset is primarily designed for: |
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- Mathematical text generation |
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- Mathematical question answering |
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- Mathematical reasoning |
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### Languages |
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The texts in the dataset are primarily in English. |
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## Dataset Structure |
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### Data Instances |
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Each instance in the dataset contains a single field: |
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- `text`: A string containing mathematical text, which may include equations, proofs, problem statements, or explanations. |
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Example of a data instance: |
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```python |
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{ |
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'text': 'Let f(x) be a continuous function on the closed interval [a,b]. The Mean Value Theorem states that there exists a point c in the open interval (a,b) such that f\'(c) = [f(b) - f(a)] / (b - a).' |
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} |
