the-stack-v2-dedup-python-subset

dataset_info:
  - config_name: Python
    features:
      - name: blob_id
        dtype: string
      - name: directory_id
        dtype: string
      - name: path
        dtype: string
      - name: content_id
        dtype: string
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: repo_name
        dtype: string
      - name: snapshot_id
        dtype: string
      - name: revision_id
        dtype: string
      - name: branch_name
        dtype: string
      - name: visit_date
        dtype: timestamp[ns]
      - name: revision_date
        dtype: timestamp[ns]
      - name: committer_date
        dtype: timestamp[ns]
      - name: github_id
        dtype: int64
      - name: star_events_count
        dtype: int64
      - name: fork_events_count
        dtype: int64
      - name: gha_license_id
        dtype: string
      - name: gha_event_created_at
        dtype: timestamp[ns]
      - name: gha_created_at
        dtype: timestamp[ns]
      - name: gha_language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: language
        dtype: string
      - name: is_vendor
        dtype: bool
      - name: is_generated
        dtype: bool
      - name: length_bytes
        dtype: int64
      - name: extension
        dtype: string
      - name: filename
        dtype: string
      - name: content
        dtype: string
    splits:
      - name: train
        num_bytes: 83396371824
        num_examples: 18065153
    download_size: 34470948501
    dataset_size: 83396371824
configs:
  - config_name: Python
    data_files:
      - split: train
        path: Python/train-*
license: other
task_categories:
  - text-generation
tags:
  - Python
size_categories:
  - 10M<n<100M

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}
}