README.md

metadata

dataset_info:
  features:
    - name: id
      dtype: string
    - name: meter_id
      dtype: int64
    - name: meter_name
      dtype: string
    - name: verse
      dtype: string
    - name: verse_part1
      dtype: string
    - name: verse_part2
      dtype: string
  splits:
    - name: train
      num_bytes: 6949029
      num_examples: 47124
    - name: test
      num_bytes: 1255648
      num_examples: 8316
  download_size: 6429814
  dataset_size: 8204677
configs:
  - config_name: default
    data_files:
      - split: train
        path: train-*.parquet
      - split: test
        path: test-*.parquet

Arabic Poetry Meter Classification

This dataset is for Arabic poetry meter classification. The dataset contains Arabic verses and their corresponding meter classes.

Dataset Information

The dataset is divided into training and testing sets:

• Training set: More than 47,124 verses
• Test set: More than 8,316 verses
• Total: 55,440 verses

Meter Classes

The dataset includes 14 meter classes (0-13):

Meter ID	Meter Name
0	Saree
1	Kamel
2	Mutakareb
3	Mutadarak
4	Munsareh
5	Madeed
6	Mujtath
7	Ramal
8	Baseet
9	Khafeef
10	Taweel
11	Wafer
12	Hazaj
13	Rajaz

Data Format

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

• id: Unique identifier
• meter_id: Meter class ID (0-13)
• meter_name: Meter class name
• verse: Full verse text (with '#' separator removed)
• verse_part1: First part of the verse (before '#')
• verse_part2: Second part of the verse (after '#')

Original Data Format

In the original files (train.txt and test.txt), each row contains:

• Meter ID and verse separated by a space
• Verse consists of two parts separated by '#'

Example: 1 يا ضيفَ طيفٍ ما هَداهُ لمَضجَعي # إلا لهيبٌ في الحشى يتوقّدُ

Citation

If you use this dataset, please cite:

@article{ALSHAIBANI2020106497,
  title = {MetRec: A dataset for meter classification of arabic poetry},
  journal = {Data in Brief},
  volume = {33},
  pages = {106497},
  year = {2020},
  doi = {https://doi.org/10.1016/j.dib.2020.106497},
  author = {Maged S. Al-shaibani and Zaid Alyafeai and Irfan Ahmad},
  keywords = {Arabic, meter, poetry, classification, prosody}
}

Source

The original dataset was collected from the Aldiwan website. For more information, please refer to the original paper.