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: