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