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--- |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: title |
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dtype: string |
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- name: source |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 1551060789 |
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num_examples: 3602 |
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download_size: 857089622 |
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dataset_size: 1551060789 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: apache-2.0 |
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language: |
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- az |
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pretty_name: Azerbaijani Book Dataset |
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--- |
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|
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# Azerbaijani Book Dataset |
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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. |
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## Dataset Structure |
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The Azerbaijani Book Dataset contains books in a structured format. Each entry consists of: |
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- **Title:** The title of the book |
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- **Text:** The main text content of the book |
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- **Source:** An integer code representing the origin or source of the book |
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The dataset includes a total of 3,602 books, with approximately 180 million words, making it a comprehensive resource for Azerbaijani language research. |
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## Uses |
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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: |
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``` |
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@inproceedings{isbarov-etal-2024-open, |
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title = "Open foundation models for {A}zerbaijani language", |
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author = "Isbarov, Jafar and |
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Huseynova, Kavsar and |
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Mammadov, Elvin and |
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Hajili, Mammad and |
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Ataman, Duygu", |
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editor = {Ataman, Duygu and |
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Derin, Mehmet Oguz and |
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Ivanova, Sardana and |
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K{\"o}ksal, Abdullatif and |
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S{\"a}lev{\"a}, Jonne and |
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Zeyrek, Deniz}, |
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booktitle = "Proceedings of the First Workshop on Natural Language Processing for Turkic Languages (SIGTURK 2024)", |
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month = aug, |
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year = "2024", |
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address = "Bangkok, Thailand and Online", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2024.sigturk-1.2", |
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pages = "18--28", |
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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.", |
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} |
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``` |
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## Recommendations |
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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. |
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## Dataset Description |
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- **Curated by:** Kavsar Huseynova, Jafar Isbarov, Mirakram Aghalarov |
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- **Funded by:** PRODATA LLC |
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- **Shared by:** aLLMA Lab |
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- **Languages:** Azerbaijani |
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- **DOI:** 10.57967/hf/3452 |
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- **License:** apache-2.0 |
