README.md

metadata

dataset_info:
  features:
    - name: id
      dtype: string
    - name: poet
      dtype: string
    - name: poem_number
      dtype: string
    - name: title
      dtype: string
    - name: form
      dtype: string
    - name: meter
      dtype: string
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 582403
      num_examples: 624
    - name: validation
      num_bytes: 186694
      num_examples: 208
    - name: test
      num_bytes: 188966
      num_examples: 209
  download_size: 4337280
  dataset_size: 958063
configs:
  - config_name: default
    data_files:
      - split: train
        path: train-*.parquet
      - split: validation
        path: validation-*.parquet
      - split: test
        path: test-*.parquet

Kurdish Poetry Meter Classification

This dataset contains Central Kurdish poems with meter classification labels. The dataset includes poems from vejinbooks.com, prepared by AsoSoft group.

Dataset Information

• Language: Central Kurdish (ckb)
• Total poems: 1041
• Number of meters (after filtering): 15 (only meters with >=10 poems)
• Train/Validation/Test split: 6:2:2 (stratified by meter)

Data Format

The dataset is stored in Parquet format with the following fields:

• id: Unique identifier
• poet: Poet name (extracted from filename, e.g., "Diɫdar", "Ḧacî Qadir")
• poem_number: Poem number (extracted from filename, e.g., "001", "018")
• title: Poem title (usually same as the first hemistich)
• form: Form of the poem (e.g., غەزەل, مەسنەوی, نوێ)
• meter: Meter pattern of the poem (e.g., مفاعیلن مفاعیلن مفاعیلن مفاعیلن)
• text: Poem text content (with # separator removed, newlines preserved)

Filtering Criteria

• Only poems with meters that have at least 10 poems are included
• Format validation: Only files with correct format (title:, form:, meter: prefixes) are included
• Poems must have more than 5 lines (more than 2 couplets)

Train/Validation/Test Split

The dataset is split into:

• Training set: 60% of the data
• Validation set: 20% of the data
• Test set: 20% of the data

The split is performed with stratified sampling based on meter classes to ensure balanced distribution across all splits.

Original Data Format

In the original files, each poem is stored as:

• Line 1: title: ... (Title of the poem)
• Line 2: form: ... (Form of the poem)
• Line 3: meter: ... (Meter pattern)
• Line 4+: Poem text (with # as couplet separator)

Source

The original dataset was collected from vejinbooks.com by AsoSoft group. This dataset was used for evaluation of an automatic Kurdish poem meter identification method based on Optimality theory.

Prepared by: Aso Mahmudi (aso.mehmudi@gmail.com)

Citation

If you use this dataset, please cite the following paper:

Mahmudi A, Veisi H (2023) Automatic meter classification of Kurdish poems. 
PLOS ONE 18(2): e0280263. https://doi.org/10.1371/journal.pone.0280263

BibTeX format:

@article{mahmudi2023automatic,
  title={Automatic meter classification of Kurdish poems},
  author={Mahmudi, Aso and Veisi, Hadi},
  journal={PLOS ONE},
  volume={18},
  number={2},
  pages={e0280263},
  year={2023},
  publisher={Public Library of Science San Francisco, CA USA},
  doi={10.1371/journal.pone.0280263}
}