| | --- |
| | dataset_info: |
| | features: |
| | - name: code |
| | dtype: string |
| | - name: path |
| | dtype: string |
| | - name: quality_prob |
| | dtype: float64 |
| | - name: learning_prob |
| | dtype: float64 |
| | - name: filename |
| | dtype: string |
| | - name: kind |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 29415279411 |
| | num_examples: 3450448 |
| | download_size: 9929877988 |
| | dataset_size: 29415279411 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | --- |
| | # Dataset Card for "clean_code_data" |
| |
|
| | High quality code data filtering from the stack and pypi. The stack data is pulled from [starcoder data](https://huggingface.co/datasets/bigcode/starcoderdata), so it has some filtering applied already. |
| |
|
| | All data was cleaned to remove code licenses and other headers, and filtered for quality and learning value. |
