Add README

README.md

@@ -1,17 +1,74 @@
 ---
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 5983244160
-    num_examples: 1908378
-  download_size: 3635810801
-  dataset_size: 5983244160
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- tr
+- en
+license: cc-by-4.0
+task_categories:
+- text-generation
+tags:
+- turkish
+- continual-pretraining
+- CPT
+- wikipedia
+- fineweb
+- c4
+size_categories:
+- 1B<n<10B
 ---
+
+# Turkish CPT Dataset
+
+A high-quality Turkish + English dataset for Continued Pre-Training (CPT) of language models.
+
+## Dataset Summary
+
+| Property | Value |
+|---|---|
+| Total examples | 1,908,378 |
+| Total tokens | ~2.19B |
+| Turkish ratio | ~80% |
+| English ratio | ~20% |
+| Languages | Turkish, English |
+
+## Sources
+
+| Source | Language | Examples | Description |
+|---|---|---|---|
+| [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) (tr) | TR | ~534K | Turkish Wikipedia |
+| [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) (en) | EN | ~134K | English Wikipedia (20% replay) |
+| [habanoz/c4_tr_fineweb_plus](https://huggingface.co/datasets/habanoz/c4_tr_fineweb_plus) | TR | ~500K | Filtered Turkish web text |
+| [HuggingFaceFW/fineweb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2) (tur_Latn) | TR | ~500K | High-quality Turkish web data |
+| [HuggingFaceFW/fineweb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) | EN | ~300K | High-quality English web data |
+
+## Cleaning Pipeline
+
+Applied industry-standard cleaning steps:
+- **UTF-8 NFC normalization** — unicode noise removal
+- **Whitespace normalization** — excess newlines, tabs, spaces
+- **URL removal** — web boilerplate
+- **Alphanumeric ratio filter** — spam/symbol detection (min 50%)
+- **Repetitive line filter** — boilerplate detection (min 30% unique lines)
+- **Minimum 50 tokens** — very short text removal
+- **Maximum 100K tokens** — abnormally long document removal
+
+60,357 examples removed (3.1%), 1.3% token loss.
+
+## English Replay
+
+20% English data is mixed in following best practices from continual pretraining research to prevent **catastrophic forgetting** of the base model's reasoning capabilities.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("afkfatih/turkish-cpt-dataset", split="train")
+```
+
+## Intended Use
+
+This dataset is intended for CPT of instruction-tuned or base language models to improve Turkish language understanding and generation while preserving English capabilities.
+
+## License
+
+Dataset components inherit their original licenses. Compiled dataset released under CC-BY-4.0.