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- .gitignore +157 -0
- README.md +127 -0
- data/Batchfile/train/part.0.parquet +3 -0
- data/Batchfile/train/part.1.parquet +3 -0
- data/Batchfile/train/part.2.parquet +3 -0
- data/C#/train/part.0.parquet +3 -0
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- data/C/train/part.8.parquet +3 -0
- data/C/train/part.9.parquet +3 -0
- data/CSS/train/part.0.parquet +3 -0
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*.DS_Store
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.history
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.vscode
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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README.md
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---
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annotations_creators:
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- no-annotation
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language:
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- en
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language_creators:
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- found
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license:
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- other
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multilinguality:
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- monolingual
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pretty_name: The Pile GitHub
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size_categories: []
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source_datasets:
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- original
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tags: []
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task_categories:
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- text-generation
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- fill-mask
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- text-classification
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task_ids: []
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---
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# Dataset Card for The Pile GitHub
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## Table of Contents
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- [Dataset Card for Smart Contracts](#dataset-card-for-the-pile-github)
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Additional Information](#additional-information)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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|
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## Dataset Description
|
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|
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- **Homepage:** [ElutherAI](https://pile.eleuther.ai)
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- **Repository:** [GitHub](https://github.com/andstor/the-pile-github)
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- **Paper:** [arXiv](https://arxiv.org/abs/2101.00027)
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- **Leaderboard:** [Needs More Information]
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- **Point of Contact:** [Needs More Information]
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### Dataset Summary
|
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|
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This is the GitHub subset of EleutherAi/The Pile dataset and contains GitHub repositories. The programming languages are identified using the [guesslang library](https://github.com/yoeo/guesslang). A total of 28 programming languages are included in the dataset.
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### Supported Tasks and Leaderboards
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|
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[More Information Needed]
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### Languages
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The following languages are covered by the dataset:
|
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```
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Batchfile, C#, C++, CSS, Erlang, Go, Haskell, HTML, Java, JavaScript, Jupyter Notebook, Lua, Markdown, Matlab, None, Objective-C, Perl, PHP, PowerShell, Python, R, Ruby, Rust, Scala, Shell, SQL, Swift, TeX, TypeScript
|
65 |
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```
|
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|
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The [guesslang library](https://github.com/yoeo/guesslang) is used to identify the programming languages. Hence, there might be some errors in the language identification.
|
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|
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## Dataset Structure
|
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+
|
71 |
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### Data Instances
|
72 |
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|
73 |
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[More Information Needed]
|
74 |
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|
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```
|
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{
|
77 |
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'text': ...,
|
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'meta': {'language': ...}
|
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}
|
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```
|
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+
|
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### Data Fields
|
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+
|
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- `text` (`string`): the source code.
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- `meta` (`dict`): the metadata of the source code.
|
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- `language` (`string`): the programming language of the source code.
|
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+
|
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### Data Splits
|
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|
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[More Information Needed]
|
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|
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| | train | validation | test |
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|-------------------------|------:|-----------:|-----:|
|
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| Input Sentences | | | |
|
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| Average Sentence Length | | | |
|
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|
97 |
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## Dataset Creation
|
98 |
+
|
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### Curation Rationale
|
100 |
+
|
101 |
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[More Information Needed]
|
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+
|
103 |
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### Source Data
|
104 |
+
|
105 |
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The data is purely a subset of the [EleutherAI/The Pile dataset](https://huggingface.co/datasets/the_pile). See the original [dataset](https://arxiv.org/abs/2201.07311) for more details.
|
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+
|
107 |
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## Additional Information
|
108 |
+
|
109 |
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### Licensing Information
|
110 |
+
|
111 |
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The Pile dataset was released on January 1st, 2021. It is licensed under the MIT License. See the [dataset](https://arxiv.org/abs/2201.07311) for more details.
|
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+
|
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### Citation Information
|
114 |
+
|
115 |
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Provide the [BibTex](http://www.bibtex.org/)-formatted reference for the dataset. For example:
|
116 |
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```
|
117 |
+
@article{pile,
|
118 |
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title={The {P}ile: An 800GB Dataset of Diverse Text for Language Modeling},
|
119 |
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author={Gao, Leo and Biderman, Stella and Black, Sid and Golding, Laurence and Hoppe, Travis and Foster, Charles and Phang, Jason and He, Horace and Thite, Anish and Nabeshima, Noa and Presser, Shawn and Leahy, Connor},
|
120 |
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journal={arXiv preprint arXiv:2101.00027},
|
121 |
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year={2020}
|
122 |
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}
|
123 |
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```
|
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+
|
125 |
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### Contributions
|
126 |
+
|
127 |
+
Thanks to [@andstor](https://github.com/andstor) for adding this dataset.
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0cc850f0c187ae77ab3064637c720f657f5edd70b2d73f2776b929e565dd63d
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size 168139335
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data/Batchfile/train/part.1.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d015724db04ee16af496a3baff36ccf768b816e40c1ca312dda2ca92b8568e6
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size 167319009
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data/Batchfile/train/part.2.parquet
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