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We also released [Github code dataset](https://huggingface.co/datasets/lvwerra/github-code), a 1TB of code data from Github repositories from 32 programming languages. The dataset can be loaded in a streaming mode if you don't want to download it because of memory issues, this will create an iterable dataset: ```python from datasets import load_dataset ds = load_dataset("lvwerra/github-code", streaming=True, split="train") print(next(iter(ds))) #OUTPUT: { 'code': "import mod189 from './mod189';\nvar value=mod189+1;\nexport default value;\n", 'repo_name': 'MirekSz/webpack-es6-ts', 'path': 'app/mods/mod190.js', 'language': 'JavaScript', 'license': 'isc', 'size': 73 } ``` You can see that in addition to the code, the samples include the metadata: repo name, path, language, license, and the size of the file. For model-specific information about the pretraining dataset, please select a model below: |