---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: title
    dtype: string
  - name: source
    dtype: int64
  splits:
  - name: train
    num_bytes: 1551060789
    num_examples: 3602
  download_size: 857089622
  dataset_size: 1551060789
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: apache-2.0
language:
- az
pretty_name: Azerbaijani Book Dataset
---

# Azerbaijani Book Dataset

The Azerbaijani Book Dataset is a curated collection of Azerbaijani language books, encompassing a diverse range of genres and styles. This dataset is designed for use in natural language processing (NLP) research. 
  
## Dataset Structure

The Azerbaijani Book Dataset contains books in a structured format. Each entry consists of:

- **Title:** The title of the book
- **Text:** The main text content of the book
- **Source:** An integer code representing the origin or source of the book

The dataset includes a total of 3,602 books, with approximately 180 million words, making it a comprehensive resource for Azerbaijani language research.

## Uses

The allmalab/aze-books dataset is licensed under the Apache-2.0 license and is intended for educational, research, and commercial purposes. Additionally, users are encouraged to cite the dataset appropriately in any publications or works derived from it. Citation information:

```
@inproceedings{isbarov-etal-2024-open,
    title = "Open foundation models for {A}zerbaijani language",
    author = "Isbarov, Jafar  and
      Huseynova, Kavsar  and
      Mammadov, Elvin  and
      Hajili, Mammad  and
      Ataman, Duygu",
    editor = {Ataman, Duygu  and
      Derin, Mehmet Oguz  and
      Ivanova, Sardana  and
      K{\"o}ksal, Abdullatif  and
      S{\"a}lev{\"a}, Jonne  and
      Zeyrek, Deniz},
    booktitle = "Proceedings of the First Workshop on Natural Language Processing for Turkic Languages (SIGTURK 2024)",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand and Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.sigturk-1.2",
    pages = "18--28",
    abstract = "The emergence of multilingual large language models has enabled the development of language understanding and generation systems in Azerbaijani. However, most of the production-grade systems rely on cloud solutions, such as GPT-4. While there have been several attempts to develop open foundation models for Azerbaijani, these works have not found their way into common use due to a lack of systemic benchmarking. This paper encompasses several lines of work that promote open-source foundation models for Azerbaijani. We introduce (1) a large text corpus for Azerbaijani, (2) a family of encoder-only language models trained on this dataset, (3) labeled datasets for evaluating these models, and (4) extensive evaluation that covers all major open-source models with Azerbaijani support.",
}
```
## Recommendations

Use the dataset responsibly and adhere to ethical standards in your research. The creators encourage users to report any quality issues for ongoing improvements and updates.

## Dataset Description
 
- **Curated by:** Kavsar Huseynova, Jafar Isbarov, Mirakram Aghalarov
- **Funded by:** PRODATA LLC
- **Shared by:** aLLMA Lab
- **Languages:** Azerbaijani
- **DOI:** 10.57967/hf/3452
- **License:** apache-2.0