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- ---
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+
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+ # StarCoder2data extras
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+
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+ This is the dataset of extra sources (different from pure Stack v2 code) used to train the StarCoder2 family of models. It contains the following subsets:
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+
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+ - Jupyter Scripts: Jupyter notebooks from The Stack v2 converted to scripts.
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+ - Jupyter Structured: Jupyter notebooks from The Stack v2 converted to a structured format of code, markdown & output cells.
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+ - Kaggle: Kaggle notebooks from [Meta-Kaggle-Code](https://www.kaggle.com/datasets/kaggle/meta-kaggle-code) dataset, converted to scripts and prefixed with information on the Kaggle datasets used in the notebook. The file headers have a similar format to Jupyter Structured but the code content is only one single script.
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+ - Pull Requests: processed GitHub Pull Requests.
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+ - StackOverflow: stackoverflow conversations from this [StackExchnage dump}(https://archive.org/details/stackexchange).
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+ - Issues: processed GitHub issues.
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+ - Owm: [Open-Web-math](https://huggingface.co/datasets/open-web-math/open-web-math) dataset.
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+ - LHQ: Leandro's High quality dataset, it is a compilation of high quality code files from: APPS-train, CodeContests, GSM8K-train, GSM8K-SciRel, DeepMind-Mathematics, Rosetta-Code, MultiPL-T, ProofSteps, ProofSteps-lean.
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+ - Wiki: the english subset of the wikipedia dump in [RedPajama](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T).
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+ - Arxiv: Arxiv subset of [RedPajama](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) dataset, further processed the dataset only to retain latex source files and remove preambles, comments, macros, and bibliographies from these files.
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+ - IR_language: these are intermediate representations of Python, Rust, C++ and other low resource languages.
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+ - Documentation: documentation of popular libraries.
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+
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+ For more details on the processing of each subset, check the StarCoder2 paper or The Stack v2 [GitHub repository](https://github.com/bigcode-project/the-stack-v2/).
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