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Datasets:
NP235
/
open-web-math-pro

Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
1M - 10M
ArXiv:
Tags:
math
reasoning
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
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NP235 koalazf99 commited on
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Duplicate from gair-prox/open-web-math-pro

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Co-authored-by: Fan Zhou <koalazf99@users.noreply.huggingface.co>

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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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+ tags:
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+ - math
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+ - reasoning
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+ ---
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+
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+ # 📚 Open-Web-Math-Pro
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+
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+ <p align="center">
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+ <img src="prox-teaser.png">
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+ </p>
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+
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+ [ArXiv](https://arxiv.org/abs/2409.17115) | [Models](https://huggingface.co/collections/gair-prox/prox-math-models-66e92c3e5d54b27612286eb9) | [Code](https://github.com/GAIR-NLP/ProX)
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+
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+ Open-Web-Math-Pro is refined from [open-web-math](https://huggingface.co/datasets/open-web-math/open-web-math) using the **ProX** refining framework.
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+ It contains about 5B high quality math related tokens, ready for pre-training.
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+
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+
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+ ## License
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+ Open-Web-Math-Pro is based on open-web-math, which is made available under an ODC-By 1.0 license; users should also abide by the CommonCrawl ToU: https://commoncrawl.org/terms-of-use/. We do not alter the license of any of the underlying data.
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+
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+
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+ ### Citation
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+ ```
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+ @article{zhou2024programming,
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+ title={Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale},
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+ author={Zhou, Fan and Wang, Zengzhi and Liu, Qian and Li, Junlong and Liu, Pengfei},
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+ journal={arXiv preprint arXiv:2409.17115},
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+ year={2024}
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+ }
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+ ```
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