ahmed-farhanur-rashid/the-stack-v2-dedup-python-subset

The Stack v2 Python Subset with File Contents

ahmed-farhanur-rashid/the-stack-v2-dedup-python-subset

Dataset Summary

This dataset is a Python-only, self-contained subset of bigcode/the-stack-v2-dedup, part of the BigCode Project. It was derived from Cyrile/dataset-the-stack-v2-dedup-sub by keeping only the Python files (🐍) and removing the C, C++, Java and JavaScript subsets.

Unlike the original dataset, which only includes metadata and Software Heritage IDs, this subset includes the actual file contents, enabling out-of-the-box training and analysis of code models, without requiring SWH downloads or AWS credentials.

• Files: 18,065,153
• Uncompressed size: ~83.4 GB
• Download size: ~34.5 GB

---

Use Cases

This dataset is intended for:

• Pretraining or fine-tuning Code LLMs on high-quality and permissively licensed Python code
• Python-specific evaluation or benchmarking
• Research on code representation, generation, or completion for Python

---

How to Use

from datasets import load_dataset
ds = load_dataset(
    "ahmed-farhanur-rashid/the-stack-v2-dedup-python-subset",
    name="Python",
    split="train",
    streaming=True
)

---

Dataset Structure

Each example in the dataset contains the following fields (inherited from the original Stack v2):

• content (string): The full file content, decoded in UTF-8
• language (string): Programming language of the file (detected by go-enry / linguist)
• path (string): File path within the repository
• repo_name (string): Repository name on GitHub
• detected_licenses (list of strings): SPDX license identifiers
• license_type (string): License type: permissive or no_license
• is_vendor (bool): Whether the file is from a dependency
• is_generated (bool): Whether the file is detected as generated
• length_bytes (int): File size in bytes
• Plus other metadata like:
  • blob_id, directory_id, revision_id, snapshot_id, visit_date, committer_date
  • GitHub metadata: github_id, gha_language, gha_license_id, etc.

---

Source Dataset

This dataset is derived from:

👉 bigcode/the-stack-v2-dedup

via the intermediate multi-language subset Cyrile/dataset-the-stack-v2-dedup-sub.

The full Stack v2 dataset is built from the Software Heritage archive and GitHub Archive metadata, and spans 600+ programming languages. This subset narrows the focus to Python while retaining full file content.

---

Curation Rationale

Python is one of the most widely used languages in open-source projects and code LLM research. By focusing on Python alone, we reduce dataset size, eliminate irrelevant files, and speed up experimentation for Python-focused models.

---

License and Legal Considerations

• Only permissively licensed files (or those with no license) are included.
• Licensing information is provided at file level.
• The dataset may contain personal information (e.g., emails, keys) present in public repositories. Sensitive data has been reduced via deduplication but may still exist.
• Usage must comply with the original license of each file.

To request the removal of your code, refer to the BigCode opt-out process.

---

Citation

If you use this dataset, please cite the original Stack v2 paper:

@misc{lozhkov2024starcoder,
  title={StarCoder 2 and The Stack v2: The Next Generation},
  author={Anton Lozhkov and Raymond Li and Loubna Ben Allal and others},
  year={2024},
  eprint={2402.19173},
  archivePrefix={arXiv},
  primaryClass={cs.SE}
}