| --- |
| language: |
| - tr |
| size_categories: |
| - 100K<n<1M |
| task_categories: |
| - text-generation |
| - text-classification |
| tags: |
| - turkish |
| - clean |
| - pretraining |
| - RAG |
| - corpus |
| dataset_info: |
| features: |
| - name: text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 966149952 |
| num_examples: 540735 |
| download_size: 530759757 |
| dataset_size: 966149952 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # Turkish Clean Text Corpus |
|
|
| ## Dataset Description |
|
|
| This dataset is a highly cleaned, deduplicated, and normalized corpus of Turkish text. It features a diverse collection of informative, encyclopedic, and journalistic content. |
|
|
| The dataset is primarily designed for **Continued Pre-Training (CPT)** of Large Language Models (LLMs) to enhance their Turkish language capabilities and domain knowledge. It is also an excellent foundational corpus for generating synthetic Instruction/ChatML datasets or building large-scale **Retrieval-Augmented Generation (RAG)** systems. |
|
|
| - **Language:** Turkish (`tr`) |
| - **Total Rows:** 540,735 |
| - **Average Word Count per Row:** ~213 words |
| - **Format:** Hugging Face Dataset (Arrow/Parquet) |
|
|
| ## Usage |
|
|
| You can easily download and use this dataset in your Python projects using the Hugging Face `datasets` library. |
|
|
| First, ensure you have the required library installed: |
|
|
| ```bash |
| pip install datasets |
| ``` |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load the dataset |
| dataset = load_dataset("mehmettozlu/clean-tr-dataset", split="train") |
| |
| # Check the total number of rows |
| print(f"Total rows: {len(dataset)}") |
| |
| # Print the first text example |
| print(dataset[0]["text"]) |
| |
| # Optional: Convert to Pandas DataFrame for easy manipulation |
| df = dataset.to_pandas() |
| print(df.head()) |
| ``` |
|
|
| ## Dataset Structure |
|
|
| The dataset contains a single feature: |
|
|
| - `text` (string): The cleaned, deduplicated Turkish text. |
|
|
| ### Example |
|
|
| ```json |
| { |
| "text": "Ophrys apifera, Salepgiller ailesine bağlı, arı salebi olarak bilinen, bir orkide türüdür.\n\nBilimsel Tanımı\nOphrys apifera 20 ila 70 cm boylanabilen bir türdür. Gövde yapraksıdır. Çiçek kurulu 3 ila 8 arası çiçek barındırır. Çanak yapraklar iri, menekşe, gül ya da beyazımsı renklidir ve ortada yeşil bir damar görülür. Taç yapraklar yeşilimsi ya da morumsudur. Mayıs ve Haziran aylarında çayırlar..." |
| } |