| --- |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - text-generation |
| - fill-mask |
| language: |
| - de |
| tags: |
| - wikipedia |
| - german |
| - cleaned |
| - nlp |
| - apex-datasets |
| size_categories: |
| - 10k<n<100k |
| --- |
| |
| <h1 align="center">💎 APEX DATASETS</h1> |
| <h3 align="center">"Believe in Apex. Become what's Next."</h3> |
|
|
| <br> |
|
|
| <div align="center"> |
|
|
| <h1 align="center">🇩🇪 German Wikipedia Cleaned: Platinum Sample</h1> |
|
|
| [](https://creativecommons.org/licenses/by-nc-sa/4.0/) |
| [-yellow.svg)]() |
| []() |
| []() |
|
|
| **Cleaned • Deduplicated • Optimized for LLMs** |
|
|
| </div> |
|
|
| --- |
|
|
| ## 💎 The "Art" of Clean Data |
| This is not just a dataset; it's a **masterpiece of data engineering**. We have processed raw German Wikipedia dumps, removing all HTML tags, boilerplate, and noise, leaving only the **purest linguistic structures** for your AI training needs. |
|
|
| > *"Quality over Quantity. But we give you both."* — **Apex Datasets** |
|
|
| --- |
|
|
| ## 🏗️ Dataset Structure (Sample) |
|
|
| We provide a **ready-to-use** split, formatted in **Parquet** for maximum efficiency. |
|
|
| | File Name | Rows | Usage Scenario | Description | |
| | :--- | :---: | :--- | :--- | |
| | **`sample_train.parquet`** | **400** | 🏋️ Fine-Tuning | Rich, diverse sentences for teaching the model context. | |
| | **`sample_test.parquet`** | **100** | 🧪 Evaluation | Unseen data for testing model performance (perplexity). | |
| | **`dataset_statistics.json`** | - | 📊 Analysis | Complete metadata and statistical breakdown. | |
| |
| --- |
| |
| ## 📊 Quick Stats (Full Version) |
| * **Total Size:** 8.21GB+ |
| * **Sentences:** 3,000,000+ |
| * **Format:** Apache Parquet (Snappy compression) |
| * **Encoding:** UTF-8 |
| |
| --- |
| |
| ## 🚀 How to Use |
| ```python |
| from datasets import load_dataset |
| |
| # Download the sample directly |
| dataset = load_dataset("Apex-Datasets/German-Wikipedia-Cleaned-Sample") |
| |
| print(dataset['train'][0]) |
