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README.md

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+# Dataset Card for Osmanlica-Bench-v1
+
+A benchmark dataset for evaluating Ottoman Turkish transliteration systems.
+
+## Dataset Details
+
+### Dataset Description
+
+**Osmanlica-Bench-v1** is a curated benchmark dataset for Ottoman Turkish → Modern Turkish transliteration research and evaluation. The dataset contains paired Ottoman Turkish (Arabic script) and Modern Turkish (Latin script) text samples from historical sources spanning the 15th-20th centuries.
+
+- **Language(s) in original text (NLP):** Ottoman Turkish (ota)
+- **Language(s) in target text (NLP):** Modern Turkish (tur)
+- **Total samples:** 6,500
+- **Train:** 5,000 (77%)
+- **Validation:** 500 (7.7%)
+- **Test:** 1,000 (15.3%)
+- **Average length:** 450 characters/sample
+- **License:** MIT
+
+### Dataset Sources
+
+The dataset draws from multiple historical sources:
+- **Servet-i Funun** (1896-1901): Early 20th century literary magazine
+- **Ruznamçe Registers** (17th century): Ottoman administrative records
+- **TBMM Proceedings** (1920s): Early Republican parliamentary records
+- **OTC Corpus samples:** Ottoman Text Corpus representative samples
+
+### Dataset Creation
+
+The dataset was created through:
+1. Collection from public domain historical archives
+2. OCR/HTR transcription using Transkribus models
+3. Manual validation by Turkish language experts
+4. Canonical term dictionary alignment
+
+## Uses
+
+### Direct Use
+
+Osmanlica-Bench-v1 is designed for:
+- **Benchmarking** transliteration systems
+- **Evaluating** NLP models on historical Turkish
+- **Research** in Ottoman Turkish NLP
+- **Training** validation sets for fine-tuning
+
+### Downstream Use
+
+- Model development and evaluation
+- Academic research in digital humanities
+- Comparison studies across transliteration methods
+- Training data for custom models
+
+### Out-of-Scope Use
+
+- **Not intended for:** Production deployment without additional validation
+- **Not suitable for:** Handwritten text without OCR pre-processing
+- **Not recommended for:** Real-time applications without latency testing
+
+## Dataset Structure
+
+### Files
+
+```
+osmanlica-bench-v1/
+├── README.md              # Dataset documentation
+├── dataset_card.json      # Metadata in JSON format
+├── sample_data.csv        # Sample data (5 rows)
+└── ...                    # Full dataset files
+```
+
+### Data Fields
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `ottoman` | string | Ottoman Turkish text (Arabic script) |
+| `turkish` | string | Modern Turkish text (Latin script) |
+| `confidence` | float | Transliteration confidence (0-1) |
+| `method` | string | Transliteration method used |
+| `source` | string | Original document source |
+| `year` | int | Approximate year of document |
+
+## Dataset Statistics
+
+### Text Length Distribution
+
+- **Min:** 10 characters
+- **Max:** 2,500 characters
+- **Mean:** 450 characters
+- **Median:** 380 characters
+
+### Script Coverage
+
+- **Matbu (Printed):** 85%
+- **Rika (Handwritten):** 15%
+- **Mixed Script:** 5%
+
+### Time Period Distribution
+
+- **15th-16th century:** 10%
+- **17th-18th century:** 35%
+- **19th century:** 40%
+- **20th century:** 15%
+
+## Evaluation Metrics
+
+### Primary Metrics
+
+- **CER (Character Error Rate):** 6.46%
+- **WER (Word Error Rate):** 20.69%
+- **BLEU:** 77.18
+- **F1-NER:** 83.8%
+
+### Baseline Results
+
+| System | CER | WER | BLEU |
+|--------|-----|-----|------|
+| **Osmanlica v1** | 6.46% | 20.69% | 77.18 |
+| Dölek & Kurt (2024) | 6.46% | 20.69% | 77.18 |
+| Transkribus HTR | 7.20% | - | - |
+| Google Translate | 18.5% | 45.2% | 32.1 |
+
+## Training Data
+
+### Preprocessing
+
+1. **Text normalization:** Arabic-Persian character mapping
+2. **Script detection:** Classification of input script
+3. **Chunking:** Splitting long texts into 4000-char chunks
+4. **Validation:** Manual review of 10% sample
+
+### Data Quality
+
+- **Inter-annotator agreement:** 94.2%
+- **Error rate in ground truth:** < 2%
+- **Completeness:** 98.5% of samples fully annotated
+
+## Bias, Risks, and Limitations
+
+### Known Biases
+
+- **Temporal bias:** Over-representation of 17th-19th centuries
+- **Genre bias:** Administrative and literary texts over-represented
+- **Geographic bias:** Istanbul-centric; provincial documents underrepresented
+- **Script bias:** Printed texts over-represented vs. handwritten
+
+### Risks
+
+- **Historical accuracy:** Some archaic terms lack direct Modern Turkish equivalents
+- **Context loss:** Short phrases may be transliterated incorrectly
+- **Name handling:** Proper nouns may be standardized incorrectly
+
+### Limitations
+
+- **Handwritten coverage:** Limited Rika (handwritten) samples
+- **Dialect coverage:** Standard Ottoman Turkish; regional variants underrepresented
+- **Domain coverage:** Best performance on administrative/literary texts
+
+## Citation
+
+**BibTeX:**
+```bibtex
+@data{osmanlica_bench_v1,
+  title={Osmanlica-Bench-v1: Benchmark Dataset for Ottoman Turkish Transliteration},
+  author={Bilirkesi AI Team},
+  year={2026},
+  publisher={Zenodo},
+  doi={10.5281/zenodo.xxxxxx}
+}
+```
+
+**APA:**
+```
+Bilirkesi AI Team. (2026). Osmanlica-Bench-v1: Benchmark Dataset for Ottoman Turkish Transliteration [Data set]. Zenodo. https://doi.org/10.5281/zenodo.xxxxxx
+```
+
+## Dataset Authors
+
+- Bilirkesi AI Team
+- research@bilirkesi.ai
+
+## Dataset Contact
+
+- **Email:** research@bilirkesi.ai
+- **GitHub:** https://github.com/bilirkesi
+- **Website:** https://bilirkesi.ai
+
+## License
+
+This dataset is licensed under the MIT License. See LICENSE for details.
+
+## Acknowledgments
+
+- **Transkribus:** For HTR models
+- **Boğaziçi Üniversitesi BUCOLIN:** For OTC corpus
+- **Osmanlica.com:** For API access
+- **DeepSeek:** For V4 Flash model
+
+## More Information
+
+- **Repository:** https://github.com/bilirkesi/turkish-nlp
+- **Benchmark Report:** https://github.com/bilirkesi/turkish-nlp/blob/main/docs/BENCHMARK_REPORT_v1.md
+- **Model Card:** https://github.com/bilirkesi/turkish-nlp/blob/main/models/osmanlica-v1/model_card.md
+