README.md

metadata

annotations_creators:
  - crowdsourced
language:
  - fa
language_creators:
  - machine-generated
license:
  - other
multilinguality:
  - monolingual
pretty_name: conll2003-persian
size_categories:
  - 10K<n<100K
source_datasets:
  - extended|conll2003
tags:
  - named entity recognition
task_categories:
  - token-classification
task_ids:
  - named-entity-recognition
train-eval-index:
  - col_mapping:
      ner_tags: tags
      tokens: tokens
    config: conll2003
    metrics:
      - name: seqeval
        type: seqeval
    splits:
      eval_split: test
      train_split: train
    task: token-classification
    task_id: entity_extraction

Dataset Card for Dataset Name

Dataset Description

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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.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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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}
}

Contributions

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