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--- |
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language: |
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- az |
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license: cc-by-nc-4.0 |
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task_categories: |
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- token-classification |
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- text-classification |
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pretty_name: Azerbaijani Named Entity Recognition (NER) Dataset |
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dataset_info: |
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features: |
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- name: index |
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dtype: string |
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- name: tokens |
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dtype: string |
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- name: ner_tags |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 28792689 |
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num_examples: 99545 |
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download_size: 13578023 |
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dataset_size: 28792689 |
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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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tags: |
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- ner |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Azerbaijani Named Entity Recognition (NER) Dataset |
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This repository contains the dataset for training and evaluating Named Entity Recognition (NER) models in the Azerbaijani language. The dataset includes annotated text data with various named entities. |
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## Dataset Description |
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The dataset includes the following entity types: |
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- **0: O**: Outside any named entity |
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- **1: PERSON**: Names of individuals |
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- **2: LOCATION**: Geographical locations, both man-made and natural |
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- **3: ORGANISATION**: Names of companies, institutions |
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- **4: DATE**: Dates or periods |
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- **5: TIME**: Times of the day |
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- **6: MONEY**: Monetary values |
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- **7: PERCENTAGE**: Percentage values |
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- **8: FACILITY**: Buildings, airports, etc. |
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- **9: PRODUCT**: Products and goods |
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- **10: EVENT**: Events and occurrences |
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- **11: ART**: Artworks, titles of books, songs |
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- **12: LAW**: Legal documents |
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- **13: LANGUAGE**: Languages |
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- **14: GPE**: Countries, cities, states |
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- **15: NORP**: Nationalities or religious or political groups |
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- **16: ORDINAL**: Ordinal numbers |
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- **17: CARDINAL**: Cardinal numbers |
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- **18: DISEASE**: Diseases and medical conditions |
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- **19: CONTACT**: Contact information, e.g., phone numbers, emails |
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- **20: ADAGE**: Proverbs, sayings |
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- **21: QUANTITY**: Measurements and quantities |
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- **22: MISCELLANEOUS**: Miscellaneous entities |
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- **23: POSITION**: Professional or social positions |
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- **24: PROJECT**: Names of projects or programs |
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## Data Format |
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The dataset is in CSV format with the following columns: |
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- `index`: Unique identifier for each row. |
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- `tokens`: A list of tokens in the text. |
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- `ner_tags`: A list of corresponding NER tags for each token. |
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## License |
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This model licensed under the CC BY-NC-ND 4.0 license. |
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What does this license allow? |
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Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. |
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Non-Commercial: You may not use the material for commercial purposes. |
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No Derivatives: If you remix, transform, or build upon the material, you may not distribute the modified material. |
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For more information, please refer to the <a target="_blank" href="https://creativecommons.org/licenses/by-nc-nd/4.0/">CC BY-NC-ND 4.0 license</a>. |
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## Contact |
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For more information, questions, or issues, please contact LocalDoc at [v.resad.89@gmail.com]. |
