Code to generate data

Thank you for the best code model to date!

Would it be possible to share the pre-training data generation code? —>

Data Creation

Step 1: Collect code data from GitHub and apply the same filtering rules as [StarCoder Data](https://github.com/bigcode-project/bigcode-dataset) to filter data.
Step 2: Parsing the dependencies of files within the same repository to rearrange the file positions based on their dependencies.
Step 3: Concatenating dependent files to form a single example and employ repo-level minhash for deduplication.
Step 4: Further filtering out low-quality code, such as codes with syntax errors or poor readability.

The issue describes a four-step pre-training data pipeline but names no repository files, tests, or entry points. Start by reviewing the existing repository structure and any data-processing documentation; completion would require determining whether the requested generation code can be shared and documenting or publishing the full pipeline.

Written by the indexing model from the issue text.