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starcoder2data-extras

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Duplicate from bigcode/starcoder2data-extras

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Co-authored-by: Anton Lozhkov <anton-l@users.noreply.huggingface.co>

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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ ---
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+ features:
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+ features:
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+ - name: content
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+ dtype: string
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+ - name: meta
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+ download_size: 12153445493
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+ dataset_size: 21572720540.0
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+ configs:
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+ - config_name: arxiv
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+ data_files:
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+ - split: train
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+ path: arxiv/train-*
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+ - config_name: documentation
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+ data_files:
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+ - split: train
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+ path: documentation/train-*
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+ - config_name: ir_cpp
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+ data_files:
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+ - split: train
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+ path: ir_cpp/train-*
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+ - config_name: ir_low_resource
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+ data_files:
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+ - split: train
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+ path: ir_low_resource/train-*
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+ - config_name: ir_python
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+ data_files:
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+ - split: train
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+ path: ir_python/train-*
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+ - config_name: ir_rust
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+ data_files:
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+ - split: train
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+ path: ir_rust/train-*
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+ - config_name: issues
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+ data_files:
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+ - split: train
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+ path: issues/train-*
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+ - config_name: kaggle
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+ data_files:
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+ - split: train
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+ path: kaggle/train-*
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+ - config_name: lhq
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+ data_files:
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+ - split: train
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+ path: lhq/train-*
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+ - config_name: owm
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+ data_files:
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+ - split: train
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+ path: owm/train-*
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+ - config_name: stackoverflow
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+ data_files:
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+ - split: train
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+ path: stackoverflow/train-*
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+ - config_name: wikipedia
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+ data_files:
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+ - split: train
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+ path: wikipedia/train-*
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+ ---
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+
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+ # StarCoder2 Extras
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+
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+ This is the dataset of extra sources (besides Stack v2 code data) used to train the [StarCoder2](https://arxiv.org/abs/2402.19173) family of models. It contains the following subsets:
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+
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+ - Kaggle (`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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+ - StackOverflow (`stackoverflow`): stackoverflow conversations from this [StackExchange dump](https://archive.org/details/stackexchange).
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+ - Issues (`issues`): processed GitHub issues, same as the Stack v1 issues.
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+ - OWM (`owm`): the [Open-Web-Math](https://huggingface.co/datasets/open-web-math/open-web-math) dataset.
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+ - LHQ (`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 (`wikipedia`): the English subset of the Wikipedia dump in [RedPajama](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T).
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+ - ArXiv (`arxiv`): the 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 (`ir_cpp`, `ir_low_resource`, `ir_python`, `ir_rust`): these are intermediate representations of Python, Rust, C++ and other low resource languages.
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+ - Documentation (`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](https://arxiv.org/abs/2402.19173) or The Stack v2 [GitHub repository](https://github.com/bigcode-project/the-stack-v2/).
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+
242
+ ## Usage
243
+
244
+ ```python
245
+ from datasets import load_dataset
246
+
247
+ # replace `kaggle` with one of the config names listed above
248
+ ds = load_dataset("bigcode/starcoder2data-extras", "kaggle", split="train")
249
+ ```
250
+
251
+ ## Citation
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+
253
+ ```
254
+ @article{lozhkov2024starcoder,
255
+ title={Starcoder 2 and the stack v2: The next generation},
256
+ author={Lozhkov, Anton and Li, Raymond and Allal, Loubna Ben and Cassano, Federico and Lamy-Poirier, Joel and Tazi, Nouamane and Tang, Ao and Pykhtar, Dmytro and Liu, Jiawei and Wei, Yuxiang and others},
257
+ journal={arXiv preprint arXiv:2402.19173},
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+ year={2024}
259
+ }
260
+ ```
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