metadata

language:
  - az
license: cc-by-nc-4.0
task_categories:
  - token-classification
  - text-classification
pretty_name: Azerbaijani Named Entity Recognition (NER) Dataset
dataset_info:
  features:
    - name: index
      dtype: string
    - name: tokens
      dtype: string
    - name: ner_tags
      dtype: string
  splits:
    - name: train
      num_bytes: 28792689
      num_examples: 99545
  download_size: 13578023
  dataset_size: 28792689
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - ner
size_categories:
  - 10K<n<100K

Azerbaijani Named Entity Recognition (NER) Dataset

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.

Dataset Description

The dataset includes the following entity types:

0: O: Outside any named entity
1: PERSON: Names of individuals
2: LOCATION: Geographical locations, both man-made and natural
3: ORGANISATION: Names of companies, institutions
4: DATE: Dates or periods
5: TIME: Times of the day
6: MONEY: Monetary values
7: PERCENTAGE: Percentage values
8: FACILITY: Buildings, airports, etc.
9: PRODUCT: Products and goods
10: EVENT: Events and occurrences
11: ART: Artworks, titles of books, songs
12: LAW: Legal documents
13: LANGUAGE: Languages
14: GPE: Countries, cities, states
15: NORP: Nationalities or religious or political groups
16: ORDINAL: Ordinal numbers
17: CARDINAL: Cardinal numbers
18: DISEASE: Diseases and medical conditions
19: CONTACT: Contact information, e.g., phone numbers, emails
20: ADAGE: Proverbs, sayings
21: QUANTITY: Measurements and quantities
22: MISCELLANEOUS: Miscellaneous entities
23: POSITION: Professional or social positions
24: PROJECT: Names of projects or programs

Data Format

The dataset is in CSV format with the following columns:

index: Unique identifier for each row.
tokens: A list of tokens in the text.
ner_tags: A list of corresponding NER tags for each token.

License

This model licensed under the CC BY-NC-ND 4.0 license. What does this license allow?

Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made.
Non-Commercial: You may not use the material for commercial purposes.
No Derivatives: If you remix, transform, or build upon the material, you may not distribute the modified material.

For more information, please refer to the CC BY-NC-ND 4.0 license.

Contact

For more information, questions, or issues, please contact LocalDoc at [v.resad.89@gmail.com].