README.md

metadata

annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - ar
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids: []
paperswithcode_id: metrec
pretty_name: MetRec
tags:
  - poetry-classification
dataset_info:
  config_name: plain_text
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '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
  splits:
    - name: train
      num_bytes: 5874899
      num_examples: 47124
    - name: test
      num_bytes: 1037573
      num_examples: 8316
  download_size: 3979947
  dataset_size: 6912472
configs:
  - config_name: plain_text
    data_files:
      - split: train
        path: plain_text/train-*
      - split: test
        path: plain_text/test-*
    default: true

Dataset Card for MetRec

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: Metrec
• Repository: Metrec repository
• Paper: MetRec: A dataset for meter classification of arabic poetry
• Point of Contact: Zaid Alyafeai

Dataset Summary

The dataset contains the verses and their corresponding meter classes. Meter classes are represented as numbers from 0 to 13. The dataset can be highly useful for further research in order to improve the field of Arabic poems’ meter classification. The train dataset contains 47,124 records and the test dataset contains 8,316 records.

Supported Tasks and Leaderboards

The dataset was published on this paper. A benchmark is acheived on this paper.

Languages

The dataset is based on Arabic.

Dataset Structure

Data Instances

A typical data point comprises a label which is out of 13 classes and a verse part of poem.

Data Fields

[N/A]

Data Splits

The data is split into a training and testing. The split is organized as the following

	train	test
data split	47,124	8,316

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

The dataset was collected from Aldiwan.

Who are the source language producers?

The poems are from different poets.

Annotations

The dataset does not contain any additional annotations.

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

@article{metrec2020,
  title={MetRec: A dataset for meter classification of arabic poetry},
  author={Al-shaibani, Maged S and Alyafeai, Zaid and Ahmad, Irfan},
  journal={Data in Brief},
  year={2020},
  publisher={Elsevier}
}

Contributions

Thanks to @zaidalyafeai for adding this dataset.