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- django
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size_categories:
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- 100K<n<1M
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---
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# Python and Docs Training Dataset
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A massive, multi-format code and documentation corpus built from 70+ major open-source Python repositories (including the Pip, Keras, Gradio, Transformers, Datasets, and more).
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## Dataset Structure
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## Dataset Structure
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The dataset is processed using exact BPE token chunking (**512-token chunks** with **zero overlap** via OpenAI's `cl100k_base` tokenizer) while preserving original Python indentation, newlines, and `<|file|>path` document boundaries—eliminating boundary duplication and allowing direct fixed-window pre-training without truncation or padding.
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- **Python Source & Type Stubs (`.py`, `.pyi`)**: Production library implementations, core modules, and type annotations across foundational Python, data science, web, and ML frameworks (including CPython, PyTorch, TensorFlow, NumPy, SciPy, Pandas, Django, FastAPI/Starlette, and Transformers).
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## License
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Distributed under the **Apache-2.0** open-source license.
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- django
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size_categories:
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- 100K<n<1M
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pretty_name: Goodman
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---
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# Python and Docs Training Dataset
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A massive, multi-format code and documentation corpus built from 70+ major open-source Python repositories (including the Pip, Keras, Gradio, Transformers, Datasets, and more).
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## Dataset Structure
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The dataset is processed using exact BPE token chunking (**512-token chunks** with **zero overlap** via OpenAI's `cl100k_base` tokenizer) while preserving original Python indentation, newlines, and `<|file|>path` document boundaries—eliminating boundary duplication and allowing direct fixed-window pre-training without truncation or padding.
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- **Python Source & Type Stubs (`.py`, `.pyi`)**: Production library implementations, core modules, and type annotations across foundational Python, data science, web, and ML frameworks (including CPython, PyTorch, TensorFlow, NumPy, SciPy, Pandas, Django, FastAPI/Starlette, and Transformers).
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## License
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Distributed under the **Apache-2.0** open-source license.
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