Datasets:
Tasks:
Text Classification
Languages:
Arabic
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
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' | |
# 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. |