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README.md

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+---
+license: cc-by-4.0
+language:
+- tr
+size_categories:
+- 10M<n<100M
+task_categories:
+- text-generation
+tags:
+- pretraining
+- turkish
+- deduplication
+- quality-filtered
+configs:
+- config_name: minhash_deduped
+  data_files:
+    - split: train
+      path: "minhash_deduped/**/*.parquet"
+- config_name: quality_filtered
+  data_files:
+    - split: train
+      path: "quality_filtered/**/*.parquet"
+- config_name: consensus
+  data_files:
+    - split: train
+      path: "consensus/*.parquet"
+---
+
+# TurMix: Turkish Pretraining Data Mix
+
+A high-quality Turkish pretraining dataset created by combining, filtering, and deduplicating multiple sources.
+
+## Dataset Description
+
+This dataset contains Turkish text from multiple web crawl sources, processed through a quality filtering and MinHash deduplication pipeline.
+
+### Sources
+- **C4** (mC4 Turkish subset)
+- **CulturaX** (Turkish)
+- **Fineweb-2** (tur_Latn)
+- **HPLT-2** (tur_Latn, 5 shards)
+- **VNGRS Web Corpus**
+
+## Subsets
+
+### 1. `minhash_deduped` (Recommended)
+MinHash-deduplicated data. Each source was deduplicated individually to remove near-duplicate documents.
+
+```python
+from datasets import load_dataset
+ds = load_dataset("AdaMLLab/TurMix", "minhash_deduped")
+```
+
+**Statistics:**
+- ~27M documents
+- 359GB compressed
+
+### 2. `quality_filtered`
+Quality-filtered data before deduplication. Use this if you want to apply your own deduplication.
+
+```python
+from datasets import load_dataset
+ds = load_dataset("AdaMLLab/TurMix", "quality_filtered")
+```
+
+**Statistics:**
+- ~49M documents
+- 658GB compressed
+
+### 3. `consensus`
+Documents that appear in 2+ sources (exact text match). These are high-confidence documents verified across multiple crawls.
+
+```python
+from datasets import load_dataset
+ds = load_dataset("AdaMLLab/TurMix", "consensus")
+```
+
+**Statistics:**
+- 7.84M documents
+- 13GB compressed
+
+**Schema:**
+- `text`: Document text
+- `id`: Primary document ID
+- `sources`: List of sources where document appears (e.g., `["c4", "culturax"]`)
+- `all_ids`: All document IDs from all sources
+- `metadata`: Additional metadata
+
+## Quality Filtering
+
+Documents were filtered based on:
+- Language identification (Turkish Latin script ratio)
+- Document length constraints
+- Line quality metrics
+- Repetition detection (including Turkish-specific patterns)
+- Boilerplate/policy phrase removal
+
+Filter thresholds based on Fineweb-2 Turkish configuration.
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@dataset{turmix2024,
+  title={TurMix: Turkish Pretraining Data Mix},
+  author={AdaMLLab},
+  year={2024},
+  publisher={Hugging Face}
+}
+```
+
+## License
+
+This dataset is released under CC-BY-4.0. Individual source datasets may have their own licenses.