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---
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](https://huggingface.co/datasets/bigcode/the-stack-v2-dedup), part
of the BigCode Project. It was derived from [Cyrile/dataset-the-stack-v2-dedup-sub](https://huggingface.co/datasets/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
```python
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](https://huggingface.co/datasets/bigcode/the-stack-v2-dedup)
via the intermediate multi-language subset
[Cyrile/dataset-the-stack-v2-dedup-sub](https://huggingface.co/datasets/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](https://github.com/bigcode-project/bigcode-dataset#how-to-remove-your-code-from-the-dataset).
---
## Citation
If you use this dataset, please cite the original Stack v2 paper:
```bibtex
@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}
}
```