Update README.md
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README.md
CHANGED
@@ -1,10 +1,404 @@
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---
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license: other
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---
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-
# 💻 Processed Stack-Edu
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-
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
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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.
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|
@@ -14,45 +408,28 @@ The data is organized into one Parquet file per programming language. Each langu
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### Available Languages (Configurations)
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You can load data for any of the following languages:
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`c`, `cpp`, `csharp`, `go`, `java`, `javascript`, `markdown`, `php`, `python`, `ruby`, `rust`, `shell`, `sql`, `swift`, `typescript`.
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## How to Use
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You can easily load any language-specific subset using the `datasets` library.
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```python
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from datasets import load_dataset
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# Load a specific language, for example, Python
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#
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python_data = load_dataset("meryyllebr543/stack-edu-huggingface", name="python", split="train")
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# Load the C++ data
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cpp_data = load_dataset("meryyllebr543/stack-edu-huggingface", name="cpp", split="train")
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# You can then iterate through the dataset
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-
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#
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# {
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# 'language': 'python',
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# 'text': '# Your python code here...',
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# ... (other columns)
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# }
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```
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### Data Schema
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The dataset contains the following columns:
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* `language`: The programming language of the file.
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* `src_encoding`: The detected source encoding.
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* `length_bytes`: The size of the file in bytes.
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* `score`: The educational quality score (float).
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* `int_score`: The integer version of the quality score.
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* `detected_licenses`: A list of licenses detected in the file.
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* `license_type`: The general type of license.
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* `text`: The full text content of the code file.
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-
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## Original Dataset Information
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For more details on the curation process, please refer to the original **[Stack-Edu dataset card](https://huggingface.co/datasets/HuggingFaceTB/stack-edu)**.
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1 |
---
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license: other
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+
dataset_info:
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+
- config_name: c
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+
features:
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+
- name: language
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+
dtype: string
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- name: src_encoding
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dtype: string
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- name: length_bytes
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+
dtype: int64
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- name: score
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dtype: float64
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+
- name: int_score
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+
dtype: int64
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+
- name: detected_licenses
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sequence: string
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- name: license_type
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dtype: string
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- name: text
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dtype: string
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+
splits:
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+
- name: train
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+
num_bytes: ???
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+
num_examples: ???
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- config_name: cpp
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features:
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+
- name: language
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dtype: string
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+
- name: src_encoding
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+
dtype: string
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+
- name: length_bytes
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+
dtype: int64
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+
- name: score
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+
dtype: float64
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+
- name: int_score
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+
dtype: int64
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+
- name: detected_licenses
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+
sequence: string
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- name: license_type
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dtype: string
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- name: text
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dtype: string
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+
splits:
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+
- name: train
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+
num_bytes: ???
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+
num_examples: ???
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- config_name: csharp
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features:
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+
- name: language
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+
dtype: string
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+
- name: src_encoding
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+
dtype: string
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+
- name: length_bytes
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+
dtype: int64
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+
- name: score
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+
dtype: float64
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+
- name: int_score
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+
dtype: int64
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+
- name: detected_licenses
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+
sequence: string
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+
- name: license_type
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dtype: string
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+
- name: text
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dtype: string
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+
splits:
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+
- name: train
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+
num_bytes: ???
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+
num_examples: ???
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+
- config_name: go
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features:
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+
- name: language
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dtype: string
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+
- name: src_encoding
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+
dtype: string
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+
- name: length_bytes
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+
dtype: int64
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+
- name: score
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+
dtype: float64
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+
- name: int_score
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+
dtype: int64
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+
- name: detected_licenses
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+
sequence: string
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+
- name: license_type
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dtype: string
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- name: text
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dtype: string
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+
splits:
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+
- name: train
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+
num_bytes: ???
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+
num_examples: ???
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+
- config_name: java
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+
features:
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- name: language
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dtype: string
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- name: src_encoding
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dtype: string
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+
- name: length_bytes
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+
dtype: int64
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- name: score
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dtype: float64
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- name: int_score
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dtype: int64
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- name: detected_licenses
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sequence: string
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- name: license_type
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dtype: string
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- name: text
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dtype: string
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+
splits:
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+
- name: train
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+
num_bytes: ???
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+
num_examples: ???
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+
- config_name: javascript
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+
features:
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- name: language
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dtype: string
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+
- name: src_encoding
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+
dtype: string
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+
- name: length_bytes
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+
dtype: int64
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+
- name: score
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+
dtype: float64
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+
- name: int_score
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+
dtype: int64
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+
- name: detected_licenses
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+
sequence: string
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+
- name: license_type
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+
dtype: string
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+
- name: text
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+
dtype: string
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+
splits:
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+
- name: train
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+
num_bytes: ???
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+
num_examples: ???
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+
- config_name: markdown
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+
features:
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+
- name: language
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+
dtype: string
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+
- name: src_encoding
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+
dtype: string
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+
- name: length_bytes
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+
dtype: int64
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+
- name: score
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+
dtype: float64
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+
- name: int_score
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+
dtype: int64
|
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+
- name: detected_licenses
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+
sequence: string
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+
- name: license_type
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+
dtype: string
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+
- name: text
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+
dtype: string
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+
splits:
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+
- name: train
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+
num_bytes: ???
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+
num_examples: ???
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+
- config_name: php
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+
features:
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+
- name: language
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+
dtype: string
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+
- name: src_encoding
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+
dtype: string
|
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+
- name: length_bytes
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+
dtype: int64
|
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+
- name: score
|
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+
dtype: float64
|
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+
- name: int_score
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+
dtype: int64
|
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+
- name: detected_licenses
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+
sequence: string
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+
- name: license_type
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+
dtype: string
|
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+
- name: text
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+
dtype: string
|
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+
splits:
|
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+
- name: train
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+
num_bytes: ???
|
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+
num_examples: ???
|
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+
- config_name: python
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+
features:
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+
- name: language
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+
dtype: string
|
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+
- name: src_encoding
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+
dtype: string
|
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+
- name: length_bytes
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+
dtype: int64
|
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+
- name: score
|
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+
dtype: float64
|
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+
- name: int_score
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+
dtype: int64
|
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+
- name: detected_licenses
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+
sequence: string
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+
- name: license_type
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+
dtype: string
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+
- name: text
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+
dtype: string
|
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+
splits:
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+
- name: train
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+
num_bytes: ???
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+
num_examples: ???
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+
- config_name: ruby
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+
features:
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+
- name: language
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+
dtype: string
|
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+
- name: src_encoding
|
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+
dtype: string
|
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+
- name: length_bytes
|
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dtype: int64
|
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+
- name: score
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+
dtype: float64
|
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+
- name: int_score
|
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+
dtype: int64
|
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+
- name: detected_licenses
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+
sequence: string
|
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+
- name: license_type
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+
dtype: string
|
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+
- name: text
|
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+
dtype: string
|
220 |
+
splits:
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+
- name: train
|
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+
num_bytes: ???
|
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+
num_examples: ???
|
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+
- config_name: rust
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+
features:
|
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+
- name: language
|
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+
dtype: string
|
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+
- name: src_encoding
|
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+
dtype: string
|
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+
- name: length_bytes
|
231 |
+
dtype: int64
|
232 |
+
- name: score
|
233 |
+
dtype: float64
|
234 |
+
- name: int_score
|
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+
dtype: int64
|
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+
- name: detected_licenses
|
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+
sequence: string
|
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+
- name: license_type
|
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+
dtype: string
|
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+
- name: text
|
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+
dtype: string
|
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+
splits:
|
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+
- name: train
|
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+
num_bytes: ???
|
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+
num_examples: ???
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+
- config_name: shell
|
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+
features:
|
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+
- name: language
|
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+
dtype: string
|
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+
- name: src_encoding
|
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+
dtype: string
|
252 |
+
- name: length_bytes
|
253 |
+
dtype: int64
|
254 |
+
- name: score
|
255 |
+
dtype: float64
|
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+
- name: int_score
|
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+
dtype: int64
|
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+
- name: detected_licenses
|
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+
sequence: string
|
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- name: license_type
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+
dtype: string
|
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+
- name: text
|
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+
dtype: string
|
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+
splits:
|
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+
- name: train
|
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+
num_bytes: ???
|
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+
num_examples: ???
|
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+
- config_name: sql
|
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+
features:
|
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+
- name: language
|
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+
dtype: string
|
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+
- name: src_encoding
|
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+
dtype: string
|
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+
- name: length_bytes
|
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+
dtype: int64
|
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+
- name: score
|
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+
dtype: float64
|
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+
- name: int_score
|
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+
dtype: int64
|
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+
- name: detected_licenses
|
281 |
+
sequence: string
|
282 |
+
- name: license_type
|
283 |
+
dtype: string
|
284 |
+
- name: text
|
285 |
+
dtype: string
|
286 |
+
splits:
|
287 |
+
- name: train
|
288 |
+
num_bytes: ???
|
289 |
+
num_examples: ???
|
290 |
+
- config_name: swift
|
291 |
+
features:
|
292 |
+
- name: language
|
293 |
+
dtype: string
|
294 |
+
- name: src_encoding
|
295 |
+
dtype: string
|
296 |
+
- name: length_bytes
|
297 |
+
dtype: int64
|
298 |
+
- name: score
|
299 |
+
dtype: float64
|
300 |
+
- name: int_score
|
301 |
+
dtype: int64
|
302 |
+
- name: detected_licenses
|
303 |
+
sequence: string
|
304 |
+
- name: license_type
|
305 |
+
dtype: string
|
306 |
+
- name: text
|
307 |
+
dtype: string
|
308 |
+
splits:
|
309 |
+
- name: train
|
310 |
+
num_bytes: ???
|
311 |
+
num_examples: ???
|
312 |
+
- config_name: typescript
|
313 |
+
features:
|
314 |
+
- name: language
|
315 |
+
dtype: string
|
316 |
+
- name: src_encoding
|
317 |
+
dtype: string
|
318 |
+
- name: length_bytes
|
319 |
+
dtype: int64
|
320 |
+
- name: score
|
321 |
+
dtype: float64
|
322 |
+
- name: int_score
|
323 |
+
dtype: int64
|
324 |
+
- name: detected_licenses
|
325 |
+
sequence: string
|
326 |
+
- name: license_type
|
327 |
+
dtype: string
|
328 |
+
- name: text
|
329 |
+
dtype: string
|
330 |
+
splits:
|
331 |
+
- name: train
|
332 |
+
num_bytes: ???
|
333 |
+
num_examples: ???
|
334 |
+
|
335 |
+
# The `configs` section maps the config names to the actual data files
|
336 |
+
configs:
|
337 |
+
- config_name: c
|
338 |
+
data_files:
|
339 |
+
- split: train
|
340 |
+
path: c.parquet
|
341 |
+
- config_name: cpp
|
342 |
+
data_files:
|
343 |
+
- split: train
|
344 |
+
path: cpp.parquet
|
345 |
+
- config_name: csharp
|
346 |
+
data_files:
|
347 |
+
- split: train
|
348 |
+
path: csharp.parquet
|
349 |
+
- config_name: go
|
350 |
+
data_files:
|
351 |
+
- split: train
|
352 |
+
path: go.parquet
|
353 |
+
- config_name: java
|
354 |
+
data_files:
|
355 |
+
- split: train
|
356 |
+
path: java.parquet
|
357 |
+
- config_name: javascript
|
358 |
+
data_files:
|
359 |
+
- split: train
|
360 |
+
path: javascript.parquet
|
361 |
+
- config_name: markdown
|
362 |
+
data_files:
|
363 |
+
- split: train
|
364 |
+
path: markdown.parquet
|
365 |
+
- config_name: php
|
366 |
+
data_files:
|
367 |
+
- split: train
|
368 |
+
path: php.parquet
|
369 |
+
- config_name: python
|
370 |
+
data_files:
|
371 |
+
- split: train
|
372 |
+
path: python.parquet
|
373 |
+
- config_name: ruby
|
374 |
+
data_files:
|
375 |
+
- split: train
|
376 |
+
path: ruby.parquet
|
377 |
+
- config_name: rust
|
378 |
+
data_files:
|
379 |
+
- split: train
|
380 |
+
path: rust.parquet
|
381 |
+
- config_name: shell
|
382 |
+
data_files:
|
383 |
+
- split: train
|
384 |
+
path: shell.parquet
|
385 |
+
- config_name: sql
|
386 |
+
data_files:
|
387 |
+
- split: train
|
388 |
+
path: sql.parquet
|
389 |
+
- config_name: swift
|
390 |
+
data_files:
|
391 |
+
- split: train
|
392 |
+
path: swift.parquet
|
393 |
+
- config_name: typescript
|
394 |
+
data_files:
|
395 |
+
- split: train
|
396 |
+
path: typescript.parquet
|
397 |
---
|
398 |
|
399 |
+
# 💻 Processed Stack-Edu (Direct Access)
|
400 |
|
401 |
+
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.
|
402 |
|
403 |
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.
|
404 |
|
|
|
408 |
|
409 |
### Available Languages (Configurations)
|
410 |
|
411 |
+
You can load data for any of the following languages by specifying its name in the `load_dataset` function:
|
412 |
`c`, `cpp`, `csharp`, `go`, `java`, `javascript`, `markdown`, `php`, `python`, `ruby`, `rust`, `shell`, `sql`, `swift`, `typescript`.
|
413 |
|
414 |
## How to Use
|
415 |
|
416 |
+
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.
|
417 |
|
418 |
```python
|
419 |
from datasets import load_dataset
|
420 |
|
421 |
# Load a specific language, for example, Python
|
422 |
+
# Note: It is recommended to use streaming=True for large datasets to avoid downloading everything at once.
|
423 |
+
python_data = load_dataset("meryyllebr543/stack-edu-huggingface", name="python", split="train", streaming=True)
|
424 |
|
425 |
# Load the C++ data
|
426 |
cpp_data = load_dataset("meryyllebr543/stack-edu-huggingface", name="cpp", split="train")
|
427 |
|
428 |
# You can then iterate through the dataset
|
429 |
+
for example in python_data.take(5):
|
430 |
+
print(example['text'][:200]) # Print the first 200 characters of the text
|
|
|
|
|
|
|
|
|
|
|
431 |
```
|
432 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
433 |
## Original Dataset Information
|
434 |
|
435 |
For more details on the curation process, please refer to the original **[Stack-Edu dataset card](https://huggingface.co/datasets/HuggingFaceTB/stack-edu)**.
|