starcoder
starcoderdata
StarCoder Training Dataset
Dataset description
This is the dataset used for training StarCoder and StarCoderBase. It contains 783GB of code in 86 programming languages, and includes 54GB GitHub Issues + 13GB Jupyter notebooks in scripts and text-code pairs,
and 32GB of GitHub commits, which is approximately 250 Billion tokens.
Dataset creation
The creation and filtering of The Stack is explained in the original dataset, we additionally decontaminate… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/starcoderdata.starcoder2data-extras
StarCoder2 Extras
This is the dataset of extra sources (besides Stack v2 code data) used to train the StarCoder2 family of models. It contains the following subsets:
Kaggle (kaggle): Kaggle notebooks from 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.
StackOverflow (stackoverflow): stackoverflow… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/starcoder2data-extras.starcoder_cleanedThis is starcoderdata, but with leading boilerplate text/license text removed, and with short sequences filtered out. It also removes the extra tags at the beginning of some of the files, like <reponame>.
stack-v2-starcoder2-3bstarcoderdata-python-edu
starcoderdata-python-edu
StarCoder Training Dataset Cleaned and Scored
Dataset Details
Dataset Description
This dataset is a filtered version of StarCoder Training Dataset
that has been scored with the python-edu-scorer.
Dataset Sources
Repository: https://huggingface.co/collections/HuggingFaceTB/smollm-6695016cad7167254ce15966
Paper: SmolLM - blazingly fast and remarkably powerful
Citation
@misc{allal2024SmolLM,
title={SmolLM… See the full description on the dataset page: https://huggingface.co/datasets/jon-tow/starcoderdata-python-edu.starcoder2data-extras
StarCoder2 Extras
This is the dataset of extra sources (besides Stack v2 code data) used to train the StarCoder2 family of models. It contains the following subsets:
Kaggle (kaggle): Kaggle notebooks from 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.
StackOverflow (stackoverflow): stackoverflow… See the full description on the dataset page: https://huggingface.co/datasets/animeshjoshi0086/starcoder2data-extras.