| # Pretokenized GitHub Code Dataset | |
| ## Dataset Description | |
| This is a pretokenized version of the Python files of the [GitHub Code dataset](https://huggingface.co/datasets/lvwerra/github-code), that consists of 115M code files from GitHub in 32 programming languages. We tokenized the dataset using BPE Tokenizer trained on code, available in this [repo](https://huggingface.co/lvwerra/codeparrot). Having a pretokenized dataset can speed up the training loop by not having to tokenize data at each batch call. We also include `ratio_char_token` which gives the ratio between the number of characters in a file and the number of tokens we get after tokenization, this ratio can be a good filter to detect outlier files. | |
| ### How to use it | |
| To avoid downloading the whole dataset, you can make use of the streaming API of `datasets`. You can load and iterate through the dataset with the following two lines of code: | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("loubnabnl/tokenized-github-code-python", streaming=True, split="train") | |
| print(next(iter(ds))) | |
| #OUTPUT: | |
| {'input_ids': [504, 1639, 492,...,199, 504, 1639], | |
| 'ratio_char_token': 3.560888252148997 | |
| } | |
| ``` |