hadyelsahar/ar_res_reviews
Dataset Card for ArRestReviews Dataset Summary Dataset of 8364 restaurant reviews from qaym.com in Arabic for sentiment analysis Supported Tasks and Leaderboards [More Information Needed] Languages The dataset is based on Arabic. Dataset Structure Data Instances A typical data point comprises of the following: "polarity": which is a string value of either 0 or 1 indicating the sentiment around the review… See the full description on the dataset page: https://huggingface.co/datasets/hadyelsahar/ar_res_reviews.
🗣️ Bộ dữ liệu đánh giá nhà hàng tiếng Ả RBN — nền tảng cho mô hình phân tích cảm xúc đa ngành
8.364 đánh giá nhà hàng thực tế từ qaym.com, gán nhãn cảm xúc bằng tiếng Ả RBN.
ArRestReviews là một bộ dữ liệu gồm 8.364 đánh giá nhà hàng bằng tiếng Ả RBN thu thập từ trang web qaym.com, được thiết kế riêng cho bài toán phân loại cảm xúc (sentiment classification). Mỗi mẫu dữ liệu bao gồm văn bản đánh giá, nhãn cảm xúc (0: tiêu cực, 1: tích cực), cùng ID nhà hàng và ID người dùng.
✨ Điểm nổi bật
- Dữ liệu thực tế: 8.364 đánh giá nhà hàng thu thập từ qaym.com.
- Ngôn ngữ Ả RBN: toàn bộ dữ liệu bằng tiếng Ả RBN.
- Gán nhãn cảm xúc: hai lớp — tiêu cực (0) và tích cực (1).
- Cấu trúc đầy đủ: gồm trường text, polarity, restaurant_id, user_id.
- Phù hợp NLP Ả RBN: hỗ trợ huấn luyện mô hình phân tích cảm xúc.
- Định dạng Parquet: dễ tích hợp với thư viện Datasets, Pandas, Polars.
💡 Vì sao đáng chú ý
Đây là một nguồn dữ liệu quý giá cho cộng đồng nghiên cứu NLP Ả RBN, nơi dữ liệu chất lượng và đa dạng nhãn hiếm hoi. Với hơn 8.000 mẫu đa dạng từ nhiều nhà hàng khác nhau, bộ dữ liệu này cung cấp nền tảng vững chắc để huấn luyện hoặc đánh giá các mô hình phân tích cảm xúc trong tiếng Ả RBN — một thị trường ngôn ngữ đang phát triển nhưng thiếu tài nguyên.
#SentimentAnalysis #ArabicNLP #TextClassification #OpenData #TiniX
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