

# Dataset Card for "ArabicNLPDataset"

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Dataset Preprocessing](#dataset-preprocessing)
  - [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:** [https://github.com/BihterDass/ArabicTextClassificationDataset]
- **Repository:** [https://github.com/BihterDass/ArabicTextClassificationDataset]
- **Size of downloaded dataset files:** 23.5 MB
- **Size of the generated dataset:** 23.5 MB

### Dataset Summary
The dataset was compiled from user comments from e-commerce sites. It consists of 10,000 validations, 10,000 tests and 80000 train data. Data were classified into 3 classes (positive(pos), negative(neg) and natural(nor). The data is available to you on github.

### Supported Tasks and Leaderboards
[More Information Needed]

### Languages
[More Information Needed]

## Dataset Structure

### Data Instances
[More Information Needed]

#### arabic-dataset-v1
- **Size of downloaded dataset files:** 23.5 MB
- **Size of the generated dataset:** 23.5 MB

### Data Fields
The data fields are the same among all splits.

#### arabic-dataset-v-v1
- `text`: a `string` feature.
- `label`: a classification label, with possible values including `positive` (2),  `natural` (1), `negative` (0).

### Data Splits
|    |train    |validation|test      |
|----|--------:|---------:|---------:|
|Data|  80000  |   10000 |     10000 |

## Dataset Creation

### Curation Rationale
[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization
[More Information Needed]

#### Who are the source language producers?
[More Information Needed]

### 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]

### Contributions
Thanks to [@PnrSvc](https://github.com/PnrSvc) for adding this dataset.
task_categories:text-classification task_ids:multi-class-classification task_ids:multi-label-classification annotations_creators:expert-generated language_creators:expert-generated multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:ar license:other region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["ar"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification", "multi-label-classification"], "pretty_name": "ArabicNLPDataset"}
TAGS
#task_categories-text-classification #task_ids-multi-class-classification #task_ids-multi-label-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Arabic #license-other #region-us 

Dataset Card for "ArabicNLPDataset"
===================================


Table of Contents
-----------------


* Table of Contents
* Dataset Description
	+ Dataset Summary
	+ Dataset Preprocessing
	+ 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: [URL
* Repository: [URL
* Size of downloaded dataset files: 23.5 MB
* Size of the generated dataset: 23.5 MB


### Dataset Summary


The dataset was compiled from user comments from e-commerce sites. It consists of 10,000 validations, 10,000 tests and 80000 train data. Data were classified into 3 classes (positive(pos), negative(neg) and natural(nor). The data is available to you on github.


### Supported Tasks and Leaderboards


### Languages


Dataset Structure
-----------------


### Data Instances


#### arabic-dataset-v1


* Size of downloaded dataset files: 23.5 MB
* Size of the generated dataset: 23.5 MB


### Data Fields


The data fields are the same among all splits.


#### arabic-dataset-v-v1


* 'text': a 'string' feature.
* 'label': a classification label, with possible values including 'positive' (2), 'natural' (1), 'negative' (0).


### Data Splits



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


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### 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 @PnrSvc for adding this dataset.



### Dataset Summary


The dataset was compiled from user comments from e-commerce sites. It consists of 10,000 validations, 10,000 tests and 80000 train data. Data were classified into 3 classes (positive(pos), negative(neg) and natural(nor). The data is available to you on github. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### arabic-dataset-v1


* Size of downloaded dataset files: 23.5 MB
* Size of the generated dataset: 23.5 MB ### Data Fields


The data fields are the same among all splits. #### arabic-dataset-v-v1


* 'text': a 'string' feature.
* 'label': a classification label, with possible values including 'positive' (2), 'natural' (1), 'negative' (0). ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### 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 @PnrSvc for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-multi-class-classification #task_ids-multi-label-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Arabic #license-other #region-us 
 ### Dataset Summary


The dataset was compiled from user comments from e-commerce sites. It consists of 10,000 validations, 10,000 tests and 80000 train data. Data were classified into 3 classes (positive(pos), negative(neg) and natural(nor). The data is available to you on github. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### arabic-dataset-v1


* Size of downloaded dataset files: 23.5 MB
* Size of the generated dataset: 23.5 MB ### Data Fields


The data fields are the same among all splits. #### arabic-dataset-v-v1


* 'text': a 'string' feature.
* 'label': a classification label, with possible values including 'positive' (2), 'natural' (1), 'negative' (0). ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### 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 @PnrSvc for adding this dataset.