Datasets:
Tasks:
Text Classification
Languages:
Arabic
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
original
License:
| 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: | |
| 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 | |
| config_name: plain_text | |
| splits: | |
| - name: train | |
| num_bytes: 5874919 | |
| num_examples: 47124 | |
| - name: test | |
| num_bytes: 1037577 | |
| num_examples: 8316 | |
| download_size: 2267882 | |
| dataset_size: 6912496 | |
| # Dataset Card for MetRec | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage:** [Metrec](https://github.com/zaidalyafeai/MetRec) | |
| - **Repository:** [Metrec repository](https://github.com/zaidalyafeai/MetRec) | |
| - **Paper:** [MetRec: A dataset for meter classification of arabic poetry](https://www.sciencedirect.com/science/article/pii/S2352340920313792) | |
| - **Point of Contact:** [Zaid Alyafeai](mailto:alyafey22@gmail.com) | |
| ### 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](https://www.sciencedirect.com/science/article/pii/S2352340920313792). A benchmark is acheived on this [paper](https://www.sciencedirect.com/science/article/pii/S016786552030204X). | |
| ### 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](https://www.aldiwan.net/). | |
| #### 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](https://github.com/zaidalyafeai) for adding this dataset. |