Upload folder using huggingface_hub

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# Mac
+.DS_Store

README.md

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+---
+dataset_info:
+  features:
+    - name: url
+      dtype: string
+    - name: text
+      dtype: string
+    - name: date
+      dtype: string
+    - name: metadata
+      dtype: string
+  splits:
+    - name: train
+      num_bytes: 56651995057
+      num_examples: 6315233
+  download_size: 16370689925
+  dataset_size: 56651995057
+  license: odc-by
+  task_categories:
+    - text-generation
+  language:
+    - en
+  pretty_name: OpenWebMath
+  size_categories:
+    - 10B<n<100B
+---
+
+<img src="imgs/OpenWebMath-left.png" width="300">
+
+[Keiran Paster](https://keirp.com)\*, [Marco Dos Santos](https://marco-dossantos.github.io/)\*, [Zhangir Azerbayev](https://zhangir-azerbayev.github.io/), [Jimmy Ba](https://jimmylba.github.io/)
+
+[GitHub ](https://github.com/keirp/OpenWebMath) | [ArXiv](https://arxiv.org/abs/2310.06786)
+| [PDF](https://arxiv.org/pdf/2310.06786.pdf)
+
+**OpenWebMath** is a dataset containing the majority of the high-quality, mathematical text from the internet. It is filtered and extracted from over 200B HTML files on Common Crawl down to a set of **6.3 million documents** containing a total of **14.7B tokens**. OpenWebMath is intended for use in _pretraining_ and _finetuning_ large language models.
+
+You can download the dataset using Hugging Face:
+
+```python
+from datasets import load_dataset
+ds = load_dataset("open-web-math/open-web-math")
+```
+
+# OpenWebMath Contents
+
+The dataset is structured as follows:
+
+```python
+{
+  "text": ...,  # document text.
+  "url": ...,  # document url.
+  "date": ...,  # date the page was crawled.
+  "metadata": ...,  # JSON containing information from the extraction process.
+}
+```
+
+OpenWebMath contains documents from over 130k different domains, including data from forums, educational pages, and blogs. The dataset contains documents covering mathematics, physics, statistics, computer science, and more. The following table shows the most common domains in OpenWebMath by character count.
+
+| Domain            | # Characters  | % Characters |
+| ----------------- | ------------- | ------------ |
+| stackexchange.com | 4,655,132,784 | 9.55%        |
+| nature.com        | 1,529,935,838 | 3.14%        |
+| wordpress.com     | 1,294,166,938 | 2.66%        |
+| physicsforums.com | 1,160,137,919 | 2.38%        |
+| github.io         | 725,689,722   | 1.49%        |
+| zbmath.org        | 620,019,503   | 1.27%        |
+| wikipedia.org     | 618,024,754   | 1.27%        |
+| groundai.com      | 545,214,990   | 1.12%        |
+| blogspot.com      | 520,392,333   | 1.07%        |
+| mathoverflow.net  | 499,102,560   | 1.02%        |
+
+# OpenWebMath Pipeline
+
+<img src="imgs/pipeline.png" alt="Overview of the OpenWebMath Pipeline">
+
+OpenWebMath builds on the massive [Common Crawl](https://commoncrawl.org/) dataset, which contains over 200B HTML documents. We filtered the data to only include documents that are: (1) in English, (2) contain mathematical content, and (3) are of high quality. We also put a strong emphasis on extracting LaTeX content from the HTML documents as well as reducing boilerplate in comparison to other web datasets.
+
+The OpenWebMath pipeline consists of five steps:
+
+1. **Prefiltering HTML Documents**:
+   - We apply a simple prefilter to all HTML documents in Common Crawl in order to skip documents without mathematical content to unnecessary processing time.
+2. **Text Extraction**:
+   - Extract text, including LaTeX content, from the HTML documents while removing boilerplate.
+3. **Content Classification and Filtering**:
+   - Apply a [FastText language identification model](https://fasttext.cc/docs/en/language-identification.html) to keep only English documents.
+   - Filter high perplexity documents using a [KenLM](https://github.com/kpu/kenlm) model trained on [Proof-Pile](https://huggingface.co/datasets/hoskinson-center/proof-pile).
+   - Filter non-mathematical documents using our own _MathScore_ model.
+4. **Deduplication**:
+   - Deduplicate the dataset using SimHash in [text-dedup](https://github.com/ChenghaoMou/text-dedup).
+5. **Manual Inspection**:
+   - Inspect the documents gathered from previous steps and remove low quality pages.
+
+For a detailed discussion on the processing pipeline, please refer to our paper.
+
+# License
+
+OpenWebMath is made available under an ODC-By 1.0 license; users should also abide by the CommonCrawl ToU: [https://commoncrawl.org/terms-of-use/](https://commoncrawl.org/terms-of-use/). We do not alter the license of any of the underlying data.
+
+# Citation Information
+
+```
+@misc{paster2023openwebmath,
+      title={OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text},
+      author={Keiran Paster and Marco Dos Santos and Zhangir Azerbayev and Jimmy Ba},
+      year={2023},
+      eprint={2310.06786},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI}
+}
+```

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