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---
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dataset_info:
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features:
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- name: id
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dtype: string
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- name: meter_id
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dtype: int64
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- name: meter_name
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dtype: string
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- name: verse
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dtype: string
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- name: verse_part1
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dtype: string
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- name: verse_part2
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dtype: string
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splits:
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- name: train
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num_bytes: 6949029
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num_examples: 47124
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|
- name: test
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|
|
num_bytes: 1255648
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|
|
num_examples: 8316
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|
|
download_size: 6429814
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|
dataset_size: 8204677
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|
configs:
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- config_name: default
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data_files:
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- split: train
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path: train-*.parquet
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- split: test
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path: test-*.parquet
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|
---
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# Arabic Poetry Meter Classification
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This dataset is for Arabic poetry meter classification. The dataset contains Arabic verses and their corresponding meter classes.
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## Dataset Information
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The dataset is divided into training and testing sets:
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- **Training set**: More than 47,124 verses
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- **Test set**: More than 8,316 verses
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- **Total**: 55,440 verses
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## Meter Classes
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The dataset includes 14 meter classes (0-13):
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| Meter ID | Meter Name |
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|
|----------|-----------|
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| 0 | Saree |
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| 1 | Kamel |
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| 2 | Mutakareb |
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| 3 | Mutadarak |
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| 4 | Munsareh |
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| 5 | Madeed |
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| 6 | Mujtath |
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| 7 | Ramal |
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| 8 | Baseet |
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| 9 | Khafeef |
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| 10 | Taweel |
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| 11 | Wafer |
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| 12 | Hazaj |
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| 13 | Rajaz |
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## Data Format
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|
The dataset is stored in Parquet format with the following fields:
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|
- `id`: Unique identifier
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- `meter_id`: Meter class ID (0-13)
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|
- `meter_name`: Meter class name
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|
- `verse`: Full verse text (with '#' separator removed)
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- `verse_part1`: First part of the verse (before '#')
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- `verse_part2`: Second part of the verse (after '#')
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## Original Data Format
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In the original files (train.txt and test.txt), each row contains:
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- Meter ID and verse separated by a space
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- Verse consists of two parts separated by '#'
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Example: `1 يا ضيفَ طيفٍ ما هَداهُ لمَضجَعي # إلا لهيبٌ في الحشى يتوقّدُ`
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## Citation
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If you use this dataset, please cite:
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```
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@article{ALSHAIBANI2020106497,
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title = {MetRec: A dataset for meter classification of arabic poetry},
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journal = {Data in Brief},
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volume = {33},
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pages = {106497},
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year = {2020},
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doi = {https://doi.org/10.1016/j.dib.2020.106497},
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author = {Maged S. Al-shaibani and Zaid Alyafeai and Irfan Ahmad},
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keywords = {Arabic, meter, poetry, classification, prosody}
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}
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```
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## Source
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The original dataset was collected from the Aldiwan website. For more information, please refer to the original paper.
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