metadata

annotations_creators:
  - expert-generated
language:
  - fa
language_creators:
  - machine-generated
license:
  - other
multilinguality:
  - monolingual
pretty_name: ncbi-persian
size_categories:
  - 1K<n<10K
source_datasets:
  - extended|ncbi_disease
tags:
  - named entity recognition
task_categories:
  - token-classification
task_ids:
  - named-entity-recognition
train-eval-index:
  - col_mapping:
      ner_tags: target
      tokens: text
    config: ncbi_disease
    metrics:
      - name: Accuracy
        type: accuracy
      - args:
          average: macro
        name: F1 macro
        type: f1
      - args:
          average: micro
        name: F1 micro
        type: f1
      - args:
          average: weighted
        name: F1 weighted
        type: f1
      - args:
          average: macro
        name: Precision macro
        type: precision
      - args:
          average: micro
        name: Precision micro
        type: precision
      - args:
          average: weighted
        name: Precision weighted
        type: precision
      - args:
          average: macro
        name: Recall macro
        type: recall
      - args:
          average: micro
        name: Recall micro
        type: recall
      - args:
          average: weighted
        name: Recall weighted
        type: recall
    splits:
      eval_split: test
      train_split: train
    task: token-classification

Dataset Card for Dataset Name

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Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

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Citation Information

If you used the datasets and models in this repository, please cite it.

@misc{https://doi.org/10.48550/arxiv.2302.09611,
  doi = {10.48550/ARXIV.2302.09611},
  url = {https://arxiv.org/abs/2302.09611},
  author = {Sartipi, Amir and Fatemi, Afsaneh},
  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Exploring the Potential of Machine Translation for Generating Named Entity Datasets: A Case Study between Persian and English},
  publisher = {arXiv},
  year = {2023},
  copyright = {arXiv.org perpetual, non-exclusive license}
}

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