README.md

---
license: apache-2.0
task_categories:
- image-to-text
language:
- ota
tags:
- ottoman
- ocr
- htr
- document-transcription
- handwriting-recognition
- ottoman-turkish
- historical-documents
size_categories:
- 1K<n<10K
---

# Akis-Dataset

This repository provides the test dataset used in the paper *"Automatic Transcription of Ottoman Documents Using Deep Learning"*. It contains line segment images of Ottoman documents along with their corresponding transcriptions.

## Dataset Overview

The dataset contains **8,037** image–transcription pairs of Ottoman handwritten document line segments.

### Format 1: HuggingFace Dataset (Parquet — Recommended)

The dataset is natively available as a Parquet-format HuggingFace Dataset with two columns:

| Column | Type | Description |
|--------|------|-------------|
| `image` | Image | Line segment image of an Ottoman handwritten document |
| `text`  | String | Corresponding Ottoman Turkish transcription |

You can load it directly with:
```python
from datasets import load_dataset

dataset = load_dataset("OttomanNLP/Akis-Ottoman-Dataset")
print(dataset["test"][0])
```

### Format 2: Raw Archive (ZIP)

The raw files are also available in `akis_dataset_test.zip` with the following structure:

```
  .
  ├── images/         # Directory containing the line segment images (.png).
  ├── annotations/    # Directory containing the corresponding transcriptions,
  │                   # with each image having a matching .txt file.
  └── files.txt       # File listing the image/transcription pairs. Each line contains
                      # the image file and its corresponding transcription file, separated by a space.
```

## Citation

If you use this dataset in your research, please cite the following paper:

**Full Reference:**

> Tasdemir, E.F.B. et al. (2024). Automatic Transcription of Ottoman Documents Using Deep Learning. In: Sfikas, G., Retsinas, G. (eds) *Document Analysis Systems. DAS 2024.* Lecture Notes in Computer Science, vol 14994. Springer, Cham. https://doi.org/10.1007/978-3-031-70442-0_26

**BibTeX:**

```bibtex
@InProceedings{tasdemir2024automatic,
  author    = {Tasdemir, Esma F. Bilgin and Tandogan, Zeynep and Akansu, S. Dogan
               and Kizilirmak, Firat and Sen, M. Umut and Akcan, Aysu
               and Kuru, Mehmet and Yanikoglu, Berrin},
  title     = {Automatic Transcription of Ottoman Documents Using Deep Learning},
  booktitle = {Document Analysis Systems},
  editor    = {Sfikas, G. and Retsinas, G.},
  series    = {Lecture Notes in Computer Science},
  volume    = {14994},
  publisher = {Springer, Cham},
  year      = {2024},
  doi       = {10.1007/978-3-031-70442-0_26},
  url       = {https://doi.org/10.1007/978-3-031-70442-0_26}
}
```

Feel free to reach out if you have any questions or require further information about the dataset.