
# 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.
task_categories:text-classification annotations_creators:no-annotation language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:ar license:unknown poetry-classification region:us
{"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}}
TAGS
#task_categories-text-classification #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Arabic #license-unknown #poetry-classification #region-us 

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



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### 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


#### Who are the annotators?


### 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


### Contributions


Thanks to @zaidalyafeai for adding this dataset.



### 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



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### 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 #### Who are the annotators? ### 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 ### Contributions


Thanks to @zaidalyafeai for adding this dataset.
TAGS
#task_categories-text-classification #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Arabic #license-unknown #poetry-classification #region-us 
 ### 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



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### 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 #### Who are the annotators? ### 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 ### Contributions


Thanks to @zaidalyafeai for adding this dataset.
passage: TAGS
#task_categories-text-classification #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Arabic #license-unknown #poetry-classification #region-us 
### 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



Dataset Creation
----------------### Curation Rationale### Source Data#### 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#### Who are the annotators?### 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### Contributions


Thanks to @zaidalyafeai for adding this dataset.