|
--- |
|
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) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Fields](#data-fields) |
|
- [Data Splits](#data-splits) |
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- [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. |
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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 |
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|
|
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}, |
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year={2020}, |
|
publisher={Elsevier} |
|
} |
|
``` |
|
|
|
### Contributions |
|
|
|
Thanks to [@zaidalyafeai](https://github.com/zaidalyafeai) for adding this dataset. |