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---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: review
dtype: string
- name: label
dtype: string
- name: topic
dtype: string
- name: writing_style
dtype: string
splits:
- name: test
num_bytes: 109030
num_examples: 851
download_size: 50837
dataset_size: 109030
task_categories:
- text-classification
size_categories:
- n<1K
---
# darija-reviews
**Description**: This small dataset consists of product and service reviews from social media written in Darija, encompassing both Arabic and Arabizi writing styles.
Each review is categorized by its polarity (positive, negative, or neutral) and includes information about the domain or topic, as well as the writing style of the content.
The dataset encompasses a broad spectrum of topics, including clothing, cosmetics, entertainment, hospitality, IT, and other domains.
**Size**: The dataset contains a total of 851 reviews.
**Labels**:
- Sentiment Labels: Positive, Negative, Neutral
- Topics: Automotive, Cleaning, Clothing, Cosmetics, Entertainment, Hospitality, Household Appliances, IT, Jewelry, Restaurants, and Other.
- Writing Styles: Arabic & Arabizi
**Usage**: This dataset can be used for ***evaluating*** the performance of sentiment analysis models in classifying the polarity (positive, negative, or neutral) of product and service reviews written in Darija.
**Examples**:
- Positive IT Review (Arabic WS): "هاتف زوين عجبني"
- Negative Cosmetics Review (Arabizi WS): "Lwa7iid li fach kandirou wejhi kayt9lab blhboub manhar 9te3to ou lhbob hbso hada maysla7ch lbchra dohniya myidem bzzaf"
- Neutral Cleaning Review (Arabic WS): "خليه شوية على الطبيع ومسحي بشيفون فازك" |