README.md

---
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: ???

# The `configs` section maps the config names to the actual data files
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](https://huggingface.co/datasets/HuggingFaceTB/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](https://huggingface.co/datasets/bigcode/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.

```python
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](https://huggingface.co/datasets/HuggingFaceTB/stack-edu)**.

### 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}
}
```