README.md

metadata

license: other
dataset_info:
  - config_name: c
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: cpp
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: csharp
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: go
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: java
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: javascript
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: markdown
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: php
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: python
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: ruby
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: rust
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: shell
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: sql
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: swift
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
  - config_name: typescript
    features:
      - name: language
        dtype: string
      - name: src_encoding
        dtype: string
      - name: length_bytes
        dtype: int64
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
      - name: detected_licenses
        sequence: string
      - name: license_type
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: '???'
        num_examples: '???'
configs:
  - config_name: c
    data_files:
      - split: train
        path: c.parquet
  - config_name: cpp
    data_files:
      - split: train
        path: cpp.parquet
  - config_name: csharp
    data_files:
      - split: train
        path: csharp.parquet
  - config_name: go
    data_files:
      - split: train
        path: go.parquet
  - config_name: java
    data_files:
      - split: train
        path: java.parquet
  - config_name: javascript
    data_files:
      - split: train
        path: javascript.parquet
  - config_name: markdown
    data_files:
      - split: train
        path: markdown.parquet
  - config_name: php
    data_files:
      - split: train
        path: php.parquet
  - config_name: python
    data_files:
      - split: train
        path: python.parquet
  - config_name: ruby
    data_files:
      - split: train
        path: ruby.parquet
  - config_name: rust
    data_files:
      - split: train
        path: rust.parquet
  - config_name: shell
    data_files:
      - split: train
        path: shell.parquet
  - config_name: sql
    data_files:
      - split: train
        path: sql.parquet
  - config_name: swift
    data_files:
      - split: train
        path: swift.parquet
  - config_name: typescript
    data_files:
      - split: train
        path: typescript.parquet

💻 Processed Stack-Edu (Direct Access)

This repository contains a pre-downloaded and processed version of the Stack-Edu dataset. The original dataset consists of SWHIDs pointing to files on Software Heritage. This version contains the full text content, saved in Parquet format and organized by programming language, making it immediately usable for training and analysis without the slow download process.

Stack-Edu is a 125B token dataset of high-quality, educational code filtered from The Stack v2. It was curated by the Hugging Face team for training the StarCoder2 models.

Dataset Structure

The data is organized into one Parquet file per programming language. Each language is available as a separate configuration (subset).

Available Languages (Configurations)

You can load data for any of the following languages by specifying its name in the load_dataset function: c, cpp, csharp, go, java, javascript, markdown, php, python, ruby, rust, shell, sql, swift, typescript.

How to Use

You can easily load any language-specific subset using the datasets library. The dataset card metadata in this README.md allows for direct loading of each configuration.

from datasets import load_dataset

# Load a specific language, for example, Python
# Note: It is recommended to use streaming=True for large datasets to avoid downloading everything at once.
python_data = load_dataset("meryyllebr543/stack-edu-huggingface", name="python", split="train", streaming=True)

# Load the C++ data
cpp_data = load_dataset("meryyllebr543/stack-edu-huggingface", name="cpp", split="train")

# You can then iterate through the dataset
for example in python_data.take(5):
    print(example['text'][:200]) # Print the first 200 characters of the text

Original Dataset Information

For more details on the curation process, please refer to the original Stack-Edu dataset card.

Citation

If you use this dataset, please cite the original work:

@misc{allal2025smollm2smolgoesbig,
      title={SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model},
      author={...},
      year={2025},
      eprint={2502.02737},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}